ISS Utilization: MUSES-DESIS (Multi-User System for Earth Sensing) with DESIS instrument
Teledyne Brown Engineering of Huntsville AL, USA, is developing MUSES (Multiple User System for Earth Sensing), an Earth imaging platform, as part of the company's new commercial space-based digital imaging business. MUSES hosts earth-viewing instruments (Hosted Payloads), such as high-resolution digital cameras, hyperspectral imagers, and provides precision pointing and other accommodations. It hosts up to four instruments at the same time, and offers the ability to change, upgrade, and robotically service those instruments.
MUSES, a commercial Earth-sensing platform on the ISS, will further increase the Space Station's research capabilities. MUSES is is a precision-pointing platform that will mount externally to the ISS. The instruments installed on the platform – including high-resolution digital cameras – are oriented towards Earth. The platform can host up to four Earth observation instruments and offers the ability to change, upgrade, and robotically service those instruments.
On 1 October 2013, Teledyne Brown Engineering, Inc. (TBE), a subsidiary of Teledyne Technologies Inc., Thousand Oaks, CA, and DLR (German Aerospace Center — Deutsches Zentrum für Luft- und Raumfahrt) signed a memorandum of agreement to develop an instrument for MUSES (Multi-User System for Earth Sensing), which will be mounted on the ISS (International Space Station). 1)
On May 20, 2014 at the ILA Berlin Air Show, DLR and the US corporation TBE (Teledyne Brown Engineering, Inc.) signed an agreement to install and operate the imaging spectrometer, DESIS (DLR Earth Sensing Imaging Spectrometer) on board the ISS. This DLR-built instrument will be one of four camera systems for remote sensing fitted to the MUSES (Multi-User System for Earth Sensing) instrument carrier to be installed by TBE on the ISS. DESIS will be able to detect changes in the land surface, oceans and atmosphere; it will contribute to the development of effective measures to protect the environment and climate. 2) 3)
Under the agreement, DLR will build the DESIS (DLR Earth Sensing Imaging Spectrometer), a hyperspectral instrument which Teledyne will integrate onto its ISS imaging platform, the MUSES (Multi-User System for Earth Sensing). Teledyne is planning to operate the instrument and retrieve remote sensing data which the company will use for commercial applications and DLR will apply the data to scientific research in atmospheric physics and Earth sciences.
Development status: 6)
• The DESIS instrument was launched on 29 June 2018 as part of the SpaceX CRS-15 logistics flight to the ISS (Ref. 27).
• On June 27-29, 2016, CDR (Critical Design Review) in Berlin.
Figure 1: Overview of the MUSES mission capabilities (image credit: TBE, DLR)
MUSES itself is not a sensing instrument; it is a platform for pointing a range of instruments that could include spectrometers, multi and hyperspectral imagers, high resolution panchromatic imagers, lidar, radar, magnetic sensors and more. The platform can host four instruments simultaneously and offers the ability to change, upgrade, and robotically service each individually. One of the first instruments will be DESIS, a VNIR (Visible/Near-Infrared) imaging spectrometer built by the DLR (German Aerospace Center) to gather information on atmospheric physics and Earth sciences. Ironically, the instrument will itself become an object of study—DLR scientists will investigate the influence of the space environment on remote sensing instruments once DESIS is returned to Earth at the end of its mission. The fact that it can be returned to Earth after its mission emphasizes once again some of the ISS's unique advantages. 7) 8) 9) 10)
MUSES will be the first commercial Earth-sensing platform on the ISS—commercial in the sense that it will be designed, built, operated and managed by a commercial entity TBE (Teledyne Brown Engineering), and research institutions and private sector companies outside NASA will have the opportunity to mount their instruments on the platform, specify where they would like to look and own rights to the data gathered.
The MUSES platform provides accommodations for two large and two small hosted payloads (Figure 2). MUSES is attached at the EXPRESS Logistics Carriers (ELC-4) starboard of the ISS. It is a space-based, Earth-pointing platform providing position sensing, data downlink, and other core services for each payload attitude control. 11)
Figure 2: MUSES platform with the four slots for different instruments. The hyperspectral sensor DESIS will be integrated in one of the large slots (TBE)
DESIS is one of the hosted instruments on the MUSES platform, it has a mass of ~88 kg and is integrated in one of the large containers.
MUSES is equipped with two gimbals, thus allowing rotations around two axes up to ±25° forward-backward, 45° backboard view and a 5° starboard view. The pointing accuracy is better than 30 arcseconds, which corresponds to about 60 m on ground at 400 km altitude. Together with the POI (Pointing Unit) of the DESIS instrument, a ±40º along track viewing is possible. The MUSES platform is also equipped with a star tracker and a miniature inertial measurement unit providing attitude measurement.
The MUSES platform is equipped with a star tracker (sampling rate 10 Hz) and a miniature IMU (Inertial Measurement Unit ) with a sampling rate 50 Hz providing a 10 Hz attitude measurement after filtering. ISS GPS data provide position and velocity vectors and time tags (sampling rate 1 Hz) serving as a master time for the MUSES instruments with an accuracy of ±250 µs. The predicted viewing capability of MUSES, when operating at the ISS orbit inclination of 51.6°, will enable the DESIS instrument to scan about 90% of the populated Earth with a 3-5 day average cadence. The daily download capacity is 225 GB.
MUSES will be the first commercial instrument platform on the ISS. The MUSES platform has a size of 85 cm x 85 cm and can accommodate four instruments. It will be attached to a pivot arm on the side of the ISS facing Earth during an astronaut spacewalk.
Figure 3: DESIS is the first instrument to be hosted aboard the MUSES platform (image credit: TBE) 12)
MUSES Facility Operations:
TBE will operate the DESIS hyperspectral sensor on the ISS and will cooperate with DLR in using the data in various areas, for instance systematic and applied research. Nominal MUSES commanding is accomplished from the TBE TSC (Telescience Support Center) in Huntsville, Alabama. A nominal weekly file upload window is planned to allow regular scheduled updates to be in sync with POIF (Payload Operations and Integration Function) normal upload cycles. Any commands considered "critical" are issued from the POIF, which manages all commands classified as "critical".
The end-user data products of MUSES can be used for: Maritime Domain Awareness, Agricultural Awareness, Food Security, Disaster Response, Air Quality, Oil/Gas Exploration, and Heritage Preservation.
Figure 4: Artist's rendition of where MUSES will attach to the ISS (image credit: TBE, NASA)
Launch: MUSES was launched to the ISS on June 3, 2017 on the SpaceX CRS-11 Falcon-9 vehicle as part of a Dragon capsule cargo resupply mission from Launch Complex LC-39A, Cape Canaveral, Florida. The external payloads manifested for this flight are NICER (Neutron star Interior Composition ExploreR), MUSES (Multi-User System for Earth Sensing) and ROSA (Roll-Out Solar Array). 13) 14)
Orbit: Near circular orbit, altitude of ~ 400 km, inclination = 51.6º.
MUSES platform status
• August 20, 2018: The Center for the Advancement of Science in Space (CASIS) and Teledyne Brown Engineering (TBE) today announced a sponsored program up to $4.5 million, offering researchers the ability to propose flight project concepts for the International Space Station (ISS) focused on remote sensing and Earth observation. Within this opportunity, up to $1 million will be available for researchers to support sensor development. Prospective awardees will utilize the Multi-User System for Earth Sensing (MUSES) platform, developed and managed by TBE. This funding opportunity will run through December 7, 2018. 15)
- Through this partnership, CASIS and NASA intend to facilitate in-orbit access to the U.S. National Laboratory on the space station. CASIS is the nonprofit organization responsible for managing and promoting research onboard the ISS National Laboratory.
- TBE developed the MUSES platform, to host Earth-viewing instruments such as high-resolution digital cameras and hyperspectral imagers and provide precision pointing and other accommodations. MUSES can simultaneously host up to four instruments and offers the ability to change, upgrade, and robotically service those instruments. It also provides a testbed for technology demonstration and technology maturation by providing long-term access to the space environment on the space station.
- Through this funding opportunity, CASIS and TBE seek proposals that wish to leverage the MUSES platform for applications such as (but not limited to) maritime domain awareness, precision agriculture, food security, disaster response, air quality, oil/gas exploration, and fire detection.
- The ISS provides researchers a unique vantage point of the Earth, orbiting at approximately 400 km above the planet's surface. Additionally, at an orbital inclination of 51.6º and an orbital track recycle time of three days, it provides researchers the ability to evaluate up to 95% of the Earth's habitable population on a daily basis.
• October 3, 2017: Teledyne Technologies Incorporated announced that TBE's (Teledyne Brown Engineering) MUSES (Multi-User System for Earth Sensing) aboard the ISS (International Space Station) has achieved full operating capability (FOC). 16)
Figure 5: MUSES being installed on the External Logistics Carrier (ELC-4) by the robotic arm (image credit: TBE, NASA)
DESIS (DLR Earth Sensing Imaging Spectrometer)
DESIS is a hyperspectral camera that records image data using an array of up to 235 closely spaced channels, covering the visible and near infrared portions of the spectrum (450 - 1000 nm) with a ground resolution of 30 m. This multifaceted information allows scientists to detect changes in ecosystems and to make statements on the condition of forests and agricultural land. Among other things, its purpose is to secure and improve the global cultivation of food. The data from the ISS instruments will be available quickly in the event of a catastrophe and can help rescue teams operating on the ground to org anise their deployment. DLR and TBE seek to combine the data from other MUSES instruments to develop advanced methods for remote sensing of the Earth. Cooperation in this scientific and commercial use will also promote hyperspectral technologies for future satellites. 19) 20)
Installation on the ISS will also mean that the instruments can be brought back to Earth after a service life of between three and five years to analyze the influence of the space environment on the remote sensing instruments. The platform with the DLR DESIS instrument is scheduled to be mounted on the ISS by mid of 2017 and will, after a four month commissioning phase, enter its operational phase at least until 2020.
Teledyne owns the platform, determines pointing schedules, and retains data rights in cooperation with partners. Teledyne and DLR have partnered to build, integrate, & operate the DLR Earth Sensing Imaging Spectrometer (DESIS) from the Teledyne-owned MUSES Platform on the ISS (Ref. 6).
DESIS is a hyperspectral instrument is a pushbroom imaging spectrometer in a spectral range of 400 nm up to 1000 nm (VNIR) and based on a modified Offner design for the spectrometer. The telescope is based on a TMA design. Beyond the scientific mission goals, Teledyne will use the instrument for commercial applications. The main difference between DESIS and most of the hyperspectral design is that DESIS is equipped with a steering mirror for BRDF (Bidirectional Reflectance and Distribution Function) measurements; the minimum spectral resolution will be 2.55 nm which is realized over 235 channels in an spatial resolution of 30 m GSD (Ground Sample Distance). A 2D back illuminated CMOS (Complementary Metal Oxide Semiconductor) detector array from BAE (CIS2001) is employed.
Features of the DESIS instrument:
• Offner spectrometer, compact structure with a minimal number of optical components (lens, slit, primary mirror, convex grating and CCD array detector)
• Corrected, telecentric lens objective (robust, easy adjustment, low mass) with flat field and minimal aberrations, no complicated multi-mirror system
• Spherical primary mirror, which combines collimating and imaging optics
• Convex grating as dispersion element, the appropriate optimization of the spectrometer at high spatial and spectral resolution up to a flat focal plane (a prerequisite for using plane CCD detectors)
• A specially designed groove profile of the grating leads to:
- Almost complete suppression of the second order spectrum
- Almost complete polarization insensitivity of the spectrometer over the entire spectral range
• In-orbit calibration with internal lamps besides the spectrometer slit and with a LED screen
• Pointing unit (POI).
Table 1: Key parameter of DESIS
On-board programmable binning up to a factor of four is possible. The SNR (Signal-to-Noise Ratio) for the corresponding spectral sampling distances is shown in Figure 7. The GSD (Ground Sampling Distance) depends on the flight altitude and is about 30 m at nadir. This results in a swath width of about 30 km. The electronic shutter mechanism is based on a rolling shutter: each channel collects light during the same period of time, but the time light collection starts and ends is slightly different for each channel. As a result, each spectral channel integrates light over slightly different surface areas on ground.
Figure 7: SNR for the spectral sampling of 2.55 nm (lower curve) and the 4x binning 10. 10.21 nm spectral sampling (upper curve). The simulation is based on MODTRAN (standard mid-latitude summer atmosphere; albedo= 0.3; sampling of 0.2 nm), image credit: DLR Optical Systems
Figure 8: Photos of the Offner Spectrometer (image credit: DLR)
Figure 9: Offner spectrometer: Focal plane, linear dimensions, second order spectrum suppressed (image credit: DLR)
DESIS is equipped with a POI (Pointing unit) consisting of two fixed and one rotating mirror in front of the entrance slit that allows, by rotating one mirror, a forward and backward viewing change up to ±15° w.r.t. the nominal (e.g. nadir) view. The POI can be operated in a static mode with 3º angle steps for the viewing direction and in a dynamic mode with up to 1.5º change in viewing direction/s. This change in viewing direction allows – besides normal Earth data takes – acquiring experimental data to produce e.g. stereo or BRDF (Bidirectional Reflectance Distribution Function) products and continuous observations of the same targets on ground (FMC forward motion compensation). The POI can also be operated in calibration mode to minimize the external light fields and allowing on-board calibration measurements.
Besides a pre-flight spectral, radiometric and geometric calibration and characterization of the instrument in laboratory, the instrument contains an on-board calibration unit comprising different monochromatic and white light LEDs between 400 and 1000 nm. The calibration unit is located close to the POI mirror in front of the DESIS instrument, and allows the illumination of the full spectrometer FOV with color and white light. The calibration unit is characterized in laboratory and temperature controlled in orbit within 1 K.
Figure 10: Optical scheme of the Offner spectrometer (image credit: DLR)
Figure 11: Illustration of the DESIS container instrument (image credit: DLR)
The basic idea of MUSES is that all parts of the instrument can be controlled and operated via TCP/IP in the normal ISS network environment. This includes an on-instrument mass memory unit which is able to store up to 512 Gbit of data without data compression and an internal instrument control which is able to fulfill all the imaging and calibration modes.
DLR's motivation to do the DESIS design together with Teledyne was to have the possibility to generate a new class of hyperspectral data. Of course, the design is able to generate standard data sets like most of the hyperspectral designs. But in addition the design is able to penetrate the atmosphere in different angles which allows a separation from volume to surface BRDF effects. This will be used to control the atmospheric correction to have a reproducibility of data results independent of the ISS inclination.
DLR will use the same technology to observe lightning by night not with the necessary special resolution but with the high spectral resolution. In this case DESIS will be operated in a forward motion compensation mode based on an analog steering mirror control. DESIS can also be operated in a forward motion compensation for other applications where the SNR shall be enhanced.
DLR is also interested to investigate work on florescence effects measurements in a surrounding of mega cities as well in the country side.
Figure 12: Artist's view of the DESIS instrument on the MUSES platform of the ISS (image credit: NASA)
• April 19, 2018: DLR (German Aerospace Center) and TBE (Teledyne Brown Engineering) are announcing the completion of the development and manufacturing process of the DESIS hardware. Operating the DESIS (DLR Earth Sensing Imaging Spectrometer) on the ISS (International Space Station) makes DLR the first user of the revolutionary multiplatform system MUSES (Multi User System for Earth Sensing) that was installed on board the ISS in 2017. The launch of the DESIS joint venture is scheduled for summer 2018 from Cape Canaveral and will be lifted into space by a SpaceX Falcon 9 rocket. 26)
- Hundreds of spectral channels for environmental monitoring: DESIS will be DLR's first instrument for the analysis of hyperspectral data on the ISS. "Hyperspectral sensing of Earth's surface is crucial for environmental monitoring," summarizes Pascale Ehrenfreund, Chair of the DLR Executive Board. "The continuous coverage of the VNIR (Visible Near Infrared) spectral range makes DESIS a multi-purpose instrument, which will help to gain new knowledge about agriculture, biodiversity, geology and mineralogy, coastal zones, water ecosystems, desertification and to detect changes in general."
- DESIS is a hyperspectral sensor system with the capability of recording image data using 235 closely arranged channels ranging from the visual to the infrared spectrum (between 400 and 1000 nm) with a spatial resolution of 30 m while in ISS orbit, at an altitude of 400 km. This data enables researchers to detect changes in the ecosystem of Earth's surface to assess the status of forests or agricultural areas, and therefore make yield predictions. Thus, one of the tasks of DESIS is to secure and improve global food cultivation.
- The spectral bands recorded by DESIS are also ideal for determining the quality of water, in particular of oceans and lakes. With the data, researchers are not only able to determine water composition and pollutants, but can also identify the causes of the contamination. Oil spills can be measured in their extent and also in their thickness. The water content of soil can also be analyzed using DESIS data. DESIS will be installed on the multi-platform MUSES, which can host up to four Earth observation instruments at the same time using the Canadian robotic arm (Canadarm2) on the ISS. The platform was designed, developed and built by Teledyne Brown Engineering. The instruments are mechanically locked in place and have a separate power supply. This configuration makes the International Space Station a universal instrument platform for Earth observation that also enables replacement, repair and maintenance. Due to the nature of this mission, it will also be possible to bring the instrument back to Earth after its operational life of five to eight years, in order to examine the effects of exposure to space conditions.
- High efficiency gain through cooperation with Teledyne Brown and utilization of the ISS: "The mere fact that we did not have to build an entire satellite around the DESIS instrument makes it a very cost-effective project," says Uwe Knodt, program manager of DESIS. While DLR is responsible for the construction of the instrument and the subsequent image data processing, Teledyne Brown and NASA are responsible for transport to the ISS and ensuring operations. Both organizations can greatly benefit from one another. While TBD has the commercial licence to use the image data, DLR provides expert imaging processing algorithms through licence payments and will retain the legal right to use the data for scientific applications. The use of MUSES and the ISS as an imaging platform allow instruments to be ready and operational in a very short period of time providing vital data to assist in scientific, humanitarian and commercial missions.
- "Teledyne Brown Engineering is thrilled with the progress achieved through the partnership with DLR," stated Jan Hess, President of TBE. "Our MUSES platform coupled with the DESIS and other instruments will assist in the advancement of Earth imaging, mapping, disaster recovery and agricultural assessments. Our goal is to quickly populate each slot aboard MUSES to allow for maximum coverage and data collection." This cooperation has had a fundamental impact on the development of DESIS. The entire planning and manufacturing process took just three and a half years – an almost record-breaking achievement considering such a modern instrument designed for low-Earth orbit.
- Together, DESIS and MUSES can look forward, backward and sideways from the ISS. This high degree of agility makes it possible to promptly provide information for relief organizations in the event of a disaster. Collaboration in this type of scientific and commercial operation is critical to the future prospects of hyperspectral remote sensing technologies for satellite missions. DLR and TBE want to leverage the data of DESIS and future MUSES instruments to further improve Earth observation and to expand the use of hyperspectral sensing in commercial applications.
Launch: The DESIS instrument was launched on 29 June 2018 on the SpaceX CRS-15 (Commercial Resupply Service-15) ISS logistics flight of the SpaceX Dragon capsule for NASA. The launch vehicle was the Falcon-9 and the launch site was Cape Canaveral, FL. 27) 28)
Orbit: Near circular orbit, altitude of ~400 km, inclination = 51.6º.
Status of DESIS instrument and observations
• August 27, 2018: After its launch to the ISS (International Space Station) on 29 June2018, the DESIS (DLR Earth Sensing Imaging Spectrometer) instrument was unpacked and is now being prepared for installation on the Space Station's exterior. 29)
Figure 13: Preparations for the installation of DESIS by ESA astronaut Alexander Gerst (image credit: DLR, NASA)
- Its view of Earth will be something special: The DESIS hyperspectral instrument has 235 spectral channels to look at our planet and observe the changes in land and water surfaces. On 27 August 2018 at about 21:00 CEST, the instrument developed by DLR (German Aerospace Center) and equipped with a robotic arm was taken out of the airlock of the ISS and installed on the MUSES platform located on the space station's exterior. The hyperspectral data obtained from space is expected to deliver information for environmental monitoring, among other uses. "With this data, for example, we can recognize whether the plants in a field on Earth are in a state of stress at a given point in time from a distance of 400 km," says DLR project manager Uwe Knodt. "This will allow us to look at the world from a new perspective and thereby benefit our society through this view from space."
- Several conditions can trigger stress on a plant: insufficient nutrients, unfavorable environmental conditions and an inadequate water supply. The evaluation of DESIS hyperspectral data through sophisticated algorithms will enable conclusions to be drawn in this regard. Farmers, in turn, could benefit from this data from space by learning at an early stage whether their fields must be fertilized in a specific way, and which fertilizer their plants need. The images acquired by the DLR instrument can also provide information on the plants' stage of life, as well as the moisture content of soil and plants. "As a result, the global cultivation of food – and therefore the provision of food – can be optimized," Knot explains. In addition, the instrument can deliver information on the health of forested areas, identify the mineralogical composition of specific regions, and record the constituent elements and quality of oceans and lakes.
- The speed of the images and the flexible angle for viewing Earth from space enable other applications besides resource monitoring and environmental surveillance. These potential uses include humanitarian aid, whereby emergency rescue teams could receive valuable information from space quickly and in a timely manner in the event of a disaster.
- DESIS is a joint project between DLR (German Aerospace Center) and the U.S. industrial company Teledyne Brown Engineering, which owns the Earth-observation platform known as MUSES (Multiple User System for Earth Sensing). Within the framework of this collaborative arrangement, DESIS is expected to provide DLR with data for scientific purposes, while Teledyne Brown will take responsibility for the commercial part of the hyperspectral data. Two DLR institutes are involved in the project: The Institute of Optical Sensor Systems built the instrument as part of the space segment subproject, while DLR/EOC (Earth Observation Center) in Oberpfaffenhofen is managing the ground segment subproject, which is responsible for the reception of data, its processing and transfer into applications.
• July 2, 2018: Teledyne Technologies Incorporated announced today the successful launch of the DLR Earth Sensing Imaging Spectrometer (DESIS) to the International Space Station (ISS) on a SpaceX Falcon 9 rocket. Over the next three months, the DESIS instrument, designed and built by the German Aerospace Center (DLR), will be installed and tested on Teledyne Brown Engineering's Multi-User System for Earth Sensing (MUSES) aboard ISS. 30)
• June 29, 2018: After arriving at the ISS, the instrument will be unpacked and prepared for use on the Multiple User System for Earth Sensing (MUSES) platform developed by TBE. This platform can accommodate up to four Earth observation instruments. DESIS will be moved into space through the airlock of the Japanese Experiment Module (JEM). It will then be installed on the MUSES platform using the Canadian robot arm Canadarm2. Installation will take one day, and will be followed by commissioning, which includes a system check and a pointing calibration test for sites on Earth (Ref. 27).
Figure 14: Location of the MUSIS / DESIS instrumentation on the ISS (image credit: DLR)
Processing chain and products
The DESIS products are derived from tiled data takes of a size 1024 x 1024 pixels (i.e. about 30 x 30 km2), which are generated within an automatic processing chain. Two identical processing chains are implemented within DLR and the TBE Ground Segment. The processing levels are following the definitions of ESA (European Space Agency).
DESIS level 1A products – namely Earth image scenes, onboard calibration measurements, dark current measurements and experimental products - will be long-term archived together with the corresponding metadata, while level 1B products (systematically and radiometrically corrected data), level 1C products (geometrically corrected data), level 2A products (atmospherically corrected data) will be processed on demand before being delivered to the user (Ref. 11).
Table 2: DESIS product definitions
DESIS level 1A products – namely Earth image scenes, on-board calibration measurements, dark current measurements and experimental products - will be long-term archived together with the corresponding metadata, while level 1B products (systematically and radiometrically corrected data), level 1C products (geometrically corrected data), level 2A products (atmospherically corrected data) will be processed on demand and delivered to the user community (see Figure 15 for the DESIS processing chain and the products).
Figure 15: Processing chain and product generation (image credit: DLR)
Transcription Processor (L1A):
The Level 1A Processor collects information from the different data streams, extracts and interprets the information, and evaluates and derives additional information for long term storage. The functionality of the Level 1A Processor comprises the following tasks:
• Screening of the data includes the inspection (comparison to reference tables) of all status information, temperatures, currents and voltages, which are available in the VC (Virtual Channel) of the DESIS instrument data.
• Extraction and evaluation of DC (Dark Current) measurements before and after each datatake with 128 frames each. Mean and standard deviations of the DC frames are compared to reference values.
• Preparation of Earth data takes, which includes tiling of the data take (1024x1024 spatial pixels), annotating metadata for further processing and quicklook generation.
• Processing of calibration data takes and publishing to the off-line calibration process, which derives new calibration tables.
Systematic and Radiometric Conversion Processor (L1B):
The L1B processor corrects the data for systematic effects and converts them to physical at-sensor radiance or TOA values based on the calibration tables valid for the specific time period. The correction includes the following tasks:
• Dead pixel flagging
• Dark signal correction using linear interpolated dark signal values derived from the dark signal measurements before and after each datatake
• Non-linearity response correction using the valid calibration tables
• Spectral referencing using the spectral calibration database
• Radiometric referencing using the valid radiometric calibration table
• Generation of data quality indicators like abnormal pixel masks, band-to-band correlations, bad line and bad column mask.
• Radiometric conversion towards at-sensor radiance values
Orthorectification Processor (L1C):
Orthorectification is the process to generate map conform products by removing geometric distortions caused by the sensor internal geometry, the satellite motion during data acquisition and the terrain related influences. The DESIS L1C processor produces orthoimages employing the technique of the rigorous model of DG (Direct Georeferencing) . The LOS (Line-of-Sight) model forms the basis of DG and is derived from the collinearity equation. LOS in this context means the view direction of each pixel at any instance of time.
The sensor internal geometry of the hyperspectral image will be extensively characterized in the laboratory by highly accurate measurements of the direction angles of single illuminated pixels (gravity center of the pixel) to the (adjusted) collimator axis. For each pixel the two angles on object side completely describe the internal camera geometry. This also includes (possible) geometric keystone effects. The mounting angles with respect to the attitude measurement system (body coordinate frame) are refined in the commissioning phase by geometric calibration procedures due to the gravity release and temperature influence. The star tracker measurements are combined by Kalman filtering with the angular measurements of the inertial measurement unit. These (unit) quaternions are finally transformed from the ECI (Earth Centered Inertial) frame to the ECR (Earth Centered Rotated) frame). A GPS provides the satellite position (and velocity) with a rate of 1 Hz. The attitude and position measurements are interpolated (e.g. Lagrange interpolation) for each scan line of the image
Within an iterative process the intersection points of the LOS vectors for each pixel and the DEM (Digital Elevation Model) is determined and leads to 3D points in object space.
The object points of the grid are expressed in an Earth bound Cartesian coordinate frame and are transformed to a user selectable map projection system [e.g. UTM (Universal Transverse Mercator) with the zone derived from the center coordinates of scene as well as the neighboring zones, geographic projection]. Within the map projection system image resampling is performed towards 30 m pixel spacing in case of UTM and 1 arcsec in case of Geographic projection. Different selectable resampling methods (e.g. nearest neighbor, bi-linear, cubic convolution) to generate the final orthorectified products are offered to the customer.
The geometric accuracy of the orthorectification is crucial for overlaying the data with existing data sets, maps, or in geographic information systems (GIS) and using them for evaluations like change detection, map updating, and others like enhanced atmospheric correction using terrain information (see chapter of Atmospheric Correction Processor). Therefore, an improvement of the LOS model shall be achieved by GCPs (Ground Control Points), which are extracted automatically from reference images of superior geometric quality using image matching techniques. As a global reference image database, the Landsat-8 panchromatic images with an absolute geometric accuracy of 12 m circular error at 90% confidence level and 14 m ground resolution is foreseen. 31)
In a first step, tie points between the uncorrected image and the reference image are determined by intensity based matching. 32) Supplementing the height values, interpolated from the DEM, to the found tie points a set of full qualified GCP are derived. In a second step, the GCP sets serve as input to improve the LOS model parameters within a least squares adjustment process. GCP outlier detection is included in the matching processes itself as well as in the least squares adjustment.
The feasibility of the approach to extract GCP from reference images for a refinement of the DG model within an operational environment has been successfully demonstrated at different projects. For example, the production of two European coverages by orthorectification of SPOT- 4 HRVIR, SPOT- 5 HRG and IRS P-6 LISS III scenes. Figure 16 shows the mosaic of the orthorectified scenes covering main parts of Europe. A relative geometric accuracy of 10 m RMSE w.r.t. the reference images have been achieved. About 450 GCP per 1000 km2 (about the size of one DESIS scene) have been extracted automatically.
Figure 16: Example of orthorectified products derived from SPOT-4 HRVIR, SPOT-5 HRG and IRS-P6 LISS III data using automatically extracted GCP information from reference images for sensor model refinement. The overall geometric accuracy w.r.t. the reference is ~10 m RMSE linear (image credit: DLR)
Atmospheric Correction Processor (L2A):
The DESIS L2A processor performs atmospheric correction of the images employing the well-known code of ATCOR (Atmospheric/Topographic Correction for Airborne Imagery). 33) 34) Input for the atmospheric correction processor is the L1C product. For the atmospheric correction over land a combined atmospheric and topographic processing is possible, provided the geometric absolute accuracy of the DESIS orthoimage is sufficient. A geometric accuracy better than one pixel size is required for this combined topographic / atmospheric correction in order to avoid artefacts caused by the inaccurate co-registered DEM and orthorectified image.
The MODTRAN-5.3.3 (moderate resolution atmospheric transmission) code is employed to model properties of the solar reflective spectrum (from 400 to 2500 nm). It supports a sufficiently high accuracy for the absorption simulation (water vapor, ozone, oxygen, carbon dioxide etc.). It also includes a rigorous treatment of the coupled scattering and absorption processes. Moreover, it offers a set of representative aerosol models (rural or continental, urban, maritime, desert). Therefore, MODTRAN-5.3.3 is selected to compile a database of atmospheric correction LUTs (Look-up Tables) with a high spectral resolution of 0.4 nm to enable the processing of the 2.55 nm (binned 10.21 nm) channel bandwidths of DESIS. This "monochromatic" or fine spectral resolution database has to be resampled with the DESIS channel filter curves. The advantage of compiling a "monochromatic" database is twofold. First it gives the possibility of quickly resampling it with updated spectral channel filter functions avoiding the necessity to run time-consuming radiative transfer calculations for the solar and view geometry pertaining to the acquired scenes and second to account for spectral smile corrections.
The atmospheric correction accounts for flat and rugged terrain (Figure 17), and includes haze/cirrus detection algorithms.
Figure 17: Example of topographic correction. Left image: without topographic correction; Middle: slope image derived from a DEM; Right: with topographic correction. (Example SPOT-5 scene from Switzerland), image credit: DLR
Inflight spectral, radiometric and geometric calibration:
Inflight calibration refers to all measurements and data analyses aiming to assess radiometric, spectrometric and geometric characteristics of the DESIS hyperspectral instruments in orbit. DESIS will undergo extensive characterization and calibration measurements before launch and will be re-calibrated after launch by updating the calibration tables. 37)
The DESIS calibration unit (see Figure18 for the layout and Figure 6 for the location of the calibration unit) consists of a number of different monochromatic and white LEDs with wavelengths between 400 and 1000 nm. The shape of the emitted light beam of the calibration unit allows monochromatic and spectrally broad-band illumination within the full spectrometer FOV. Pre-defined combinations of LED's will be operated at the same time to simulate different illumination scenarios. The unit will be positioned in the spectrometer optical beam by the corresponding position of the pointing unit mirror. The switched-off calibration unit serves as dark reference.
Figure 18: Principal design of the DESIS Calibration Unit, which shows three lines with each eight monochromatic LED's and one white LED (image credit; DLR-OS)
• Rigorous pre-launch geometric & radiometric calibration (Ref. 6)
• On-board calibration unit:
- DSNU (Dark Signal Non-Uniformity) calibration before/after each collected scene.
- Periodic PRNU (Photo Response Non-Uniformity) calibration.
- Geometry Calibration using Single LEDs (Light-Emitting Diodes)
• Vicarious Calibration
- Planned every 30 – 60 days
- CEOS sites, RadCalNet autonomous instrumented sites
- Spectral diversity using ARSC (Alabama Remote Sensing Consortium) research fields and forests.
The DESIS instrument will be operated by Teledyne and only Teledyne will receive the raw data from the ISS. TBE has the exclusive right to license or transfer image data for commercial use. For scientific and humanitarian purposes, DLR has the right to task DESIS or request archived data. In these cases, and if no conflicts with the commercial activities appear, Teledyne will hand over the data to DLR. Therefore, Teledyne provides DLR a license to the instrument data DLR receives for scientific and humanitarian use. The parties will attempt to schedule DLR's tasking requests so that tasking is generally balanced throughout the calendar year.
For scientific purposes only, DLR can share DESIS scientific data with other scientific organizations. Any commercial use of these instrument data is prohibited without Teledyne's prior written permission. All end users of the instrument data provided to DLR for scientific use will be required to enter into a data license agreement among DLR and Teledyne. Scientific use includes:
• basic and application oriented research
• projects by national and international educational or research institutions or by governmental institutions
• development and demonstration of future applications for scientific and/or operational use and
• preparation and execution of government-funded education, research and development programs.
Figure 19: DESIS data access policy (image credit: DLR)
1) "DLR and Teledyne sign memorandum of agreement," DLR, Oct. 2, 2013, URL: http://www.dlr.de/dlr/en/desktopdefault.aspx/tabid-10081/
2) "DLR and US corporation TBE sign partnership for Earth observation instrument on board the ISS," DLR, May 20, 2014, URL: http://www.dlr.de/dlr/en/desktopdefault.aspx/tabid-10081/
5) "DLR and US corporation TBE sign partnership for Earth observation instrument on board the ISS," DLR News, May 20, 2014, URL:http://www.dlr.de/dlr/en/desktopdefault.aspx/tabid-10081/
6) Ray Perkins, "Teledyne's DESIS Spectrometer on the ISS-based MUSES Platform," Teledyne Technologies, , June 2, 2016, URL: https://forum.nasaspaceflight.com/index.php?action=dlattach;
7) Neil Humphrey, "A View From Above: Imaging from the ISS," Dec. 22, 2014, URL: http://possibility.teledynedalsa.com/a-view-from-above/
8) Kristine Rainey, "Precision Pointing Platform For Earth Observations From The ISS," NASA, Oct. 22, 2015, URL: http://www.nasa.gov/mission_pages/station/research/benefits/muses
9) "MUSES on ISS," ISS Remote Sensing, URL: http://www.spaceteacher.org/ISS/iss_A2_files/iss-remote-sensing.pdf
10) Ray Perkins, David Krutz, Rupert Mueller, Emiliano Carmona, Robert Griffin, Lewis Graham, Randy Miller, "Teledyne's Multi-User System for Earth Sensing (MUSES)," JACIE(Joint Agency Commercial Imagery Evaluation) Workshop, Fort Worth, Texas, USA, April 11-15, 2016, URL: https://calval.cr.usgs.gov/wordpress/wp-content/uploads/
11) R. Müller, J. Avbelj, E. Carmona, A. Eckardt, B. Gerasch, L. Graham, B. Günther, U. Heiden, J. Ickes, G. Kerr, U. Knodt, D. Krutz, H. Krawczyk, A. Makarau, R. Miller, R. Perkins, I. Walter, "The new hyperspectral sensor DESIS on the Multi-Payload Platform MUSES installed on the ISS," Proceedings of the XXIII ISPRS ((International Society for Photogrammetry and Remote Sensing) Congress, Prague, Czech Republic, July 12-19, 2016, Volume XLI-B1, pp: 461-467, URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/
12) Jenny Howard, "MUSES facility enables investigation opportunities for future users," Phys.org, 21 June 2017, URL: https://phys.org/news/2017-06-muses-facility-enables-opportunities-future.html
13) "New NASA Experiments, Research Headed to International Space Station," NASA Release 17-052, June 3, 2017, URL: https://www.nasa.gov/press-release/new-nasa-experiments-research-
16) "Teledyne's MUSES Platform Achieves Full Operating Capability," TBE News & Press Releases, 3 Oct. 2017, URL: https://tbe.com/news_and_events/press_release_view/teledynes-muses-
17) Courtney E. Howard, "Teledyne MUSES payload installed on ISS for precise Earth observation, imaging," Intelligent Aerospace, 13 June 2017, URL: http://www.intelligent-aerospace.com/articles/2017/06/teledyne-muses-
18) "Multiple User System for Earth Sensing Facility (MUSES)," NASA News, 12 July 2017, URL: https://www.nasa.gov/mission_pages/station/research/experiments/
19) "DESIS - Hyperspectral Sensor for MUSES," DLR, URL: http://www.dlr.de/os/en/desktopdefault.aspx/tabid-9294/16011_read-39367/
20) Ray Perkins, Rupert Mueller, Emiliano Carmona, Robert Griffin, Randy Miller, "Imaging Spectroscopy Applications Using the DESIS Hyperspectral Instrument on MUSES," JACIE(Joint Agency Commercial Imagery Evaluation) Workshop, Fort Worth, Texas, USA, April 11-15, 2016, URL: https://calval.cr.usgs.gov/wordpress/wp-content/uploads/
21) "DLR's Earth Sensing Imaging Spectrometer to be sent to the ISS at the end of 2016," UN-SPIDER Knowledge Portal, Nov. 25, 2015, URL: http://www.un-spider.org/news-and-events/news/dlr%E2%80%99s-earth-
22) R. Müller, J. Avbelj, E. Carmona, A. Eckardt, B. Gerasch, L. Graham, B. Günther, U. Heiden, J. Ickes, G. Kerr, U. Knodt, D. Krutz, H. Krawczyk, A. Makarau, R. Miller, R. Perkins, I. Walter, "The new hyperspectral sensor DESIS on the Multi-payload platform MUSES installed on the ISS," The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B1, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic, URL: https://pdfs.semanticscholar.org/33c2/
23) H. Schwarzer, A. Eckardt, D. Krutz, R. Reulke, H. Venus, "Calibration and Performance Verification of Hyperspectral Systems," 20. Workshop Farbbildverarbeitung, Wuppertal, Sept. 25-26, 2014, URL: http://spectronet.de/portals/visqua/story_docs/vortraege_2014/
24) Andreas Eckardt, John Horack, Frank Lehmann, David Krutz, Jürgen Drescher, Mark Whorton, Mike Soutullo, "DESIS (DLR Earth Sensing Imaging Spectrometer for the ISS-MUSES platform)," Proceedings of the IGARSS (International Geoscience and Remote Sensing Symposium) 2015, Milan, Italy, July 26-31, 2015
25) G. Kerr, J. Avbelj, E. Carmona, A. Eckardt, B. Gerasch, L. Graham, B. Günther, U. Heiden, D. Krutz, H. Krawczyk, A. Makarau, R. Miller, R. Müller, R. Perkins, I. Walter, "The Hyperspectral Sensor DESIS on MUSES: Processing and Applications," Proceedings of the IEEE IGARSS (International Geoscience and Remote Sensing Symposium) Conference, Beijing, China, July 10-15, 2016
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27) "Hyperspectral Earth observation instrument DESIS sets off for the ISS," DLR, 29 June 2018, URL: https://www.dlr.de/dlr/en/desktopdefault.aspx/tabid-10212/
28) Information provided by David Krutz of DLR, Berlin.
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30) "Teledyne Soon to Begin Space-Based Imaging," Teledyne Technologies Press Release, 2 July 2018, URL: http://www.teledyne.com/news-events/news-details?ID=323
32) Rupert Müller, Thomas Krauss, Mathias Schneider, Peter Reinartz, "Automated Georeferencing of Optical Satellite Data with Integrated Sensor Model Improvement," Photogrammetric Engineering and Remote Sensing (PE&RS), Vol. 78, No 1, January 2012, pp: 61-74. DOI: http://dx.doi.org/10.14358/PERS.78.1.61, American Society for Photogrammetry and Remote Sensing. ISSN 0099-1112
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35) Aliaksei Makarau, Rudolf Richter, Rupert Müller, Peter Reinartz, "Haze Detection and Removal in Remotely Sensed Multispectral Imagery," IEEE Transactions on Geoscience and Remote Sensing, Volume: 52, Issue: 9, Sept. 2014, DOI: 10.1109/TGRS.2013.2293662 , URL: https://pdfs.semanticscholar.org/2f54/
36) Aliaksei Makarau, Rudolf Richter, Rupert Müller, Peter Reinartz, "Spectrally consistent haze removal in multispectral data," Proceedings of SPIE, Vol. 9244, 'Image and Signal Processing for Remote Sensing XX', 924422, October 23, 2014; doi:10.1117/12.2070025, Conference in Amsterdam, The Netherlands, Sept. 22-25, 2014
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The information compiled and edited in this article was provided by Herbert J. Kramer from his documentation of: "Observation of the Earth and Its Environment: Survey of Missions and Sensors" (Springer Verlag) as well as many other sources after the publication of the 4th edition in 2002. - Comments and corrections to this article are always welcome for further updates (firstname.lastname@example.org).