iTSensing Open Data Satellite Catalog
Complete Image Specifications
Technical reference for the open/public Earth-observation mission families used or planned in the iTSensing catalog. The document separates optical multispectral, thermal, SAR, hyperspectral, ocean-colour, atmospheric spectroscopy and altimetry, and describes how each data type should enter the iTSensing raster-analysis pipeline.
1. Catalog Scope
The primary catalog documented here covers the open-data missions already discussed for iTSensing: Landsat 8/9, Sentinel-1, Sentinel-2, Sentinel-3 OLCI/SLSTR, MODIS, ASTER, EMIT, ECOSTRESS, ALOS/PALSAR, NISAR, CBERS, Amazônia-1 and ESA Biomass. For completeness, the document also includes open Copernicus atmospheric/altimetry families relevant to the planned Ocean & Atmosphere module: Sentinel-5P, Sentinel-4 and Sentinel-6.
2. Quick Comparison
| Mission / Sensor | Type | Key Resolution | Spectral / Radar Domain | Main Use | Open Data |
|---|---|---|---|---|---|
| Landsat 8/9 OLI/TIRS | Multispectral + thermal | 15 / 30 / 100 m native | VNIR–SWIR + TIR | Land, vegetation, water, temperature | Yes |
| Sentinel-1 | SAR | Mode dependent; down to ~5 m class | C-band, 5.405 GHz | All-weather land/ocean, deformation | Yes |
| Sentinel-2 MSI | Multispectral | 10 / 20 / 60 m | 13 bands, 443–2190 nm class | Land, vegetation, inland/coastal water | Yes |
| Sentinel-3 OLCI | Ocean-colour multispectral | 300 m | 21 bands, 400–1020 nm | Ocean colour, chlorophyll, water quality | Yes |
| Sentinel-3 SLSTR | Optical + thermal | 500 m / 1 km | VIS–SWIR + MWIR/TIR | SST, LST, fires, clouds | Yes |
| MODIS Terra/Aqua | Multispectral + thermal | 250 / 500 / 1000 m | 36 bands, 0.4–14.4 µm class | Land, ocean, atmosphere, climate | Yes |
| ASTER Terra | Multispectral + stereo + thermal | 15 / 30 / 90 m | 14 bands VNIR–SWIR–TIR | Geology, DEM, land temperature | Yes |
| EMIT | Hyperspectral imaging spectroscopy | 60 m | 285 reflectance bands, 381–2493 nm | Mineralogy, vegetation, spectroscopy | Yes |
| ECOSTRESS | Thermal | 70 m products | 5 TIR + auxiliary band | LST, evapotranspiration, plant stress | Yes |
| ALOS / PALSAR | SAR | Mode dependent; open global mosaics 25 m | L-band ~23.6 cm | Forest structure, biomass, deformation | Yes* |
| NISAR | SAR / InSAR | ~7 m along-track, 2–8 m cross-track capability | L-band + S-band | Deformation, ecosystems, cryosphere | Yes |
| ESA Biomass | Polarimetric SAR | Product dependent | P-band 435 MHz | Forest biomass/carbon/structure | Yes |
| CBERS-4 / 4A | Multispectral / panchromatic | 2–64 m depending camera/mission | Visible + NIR; some legacy IR on CBERS-4 | Land monitoring | Yes |
| Amazônia-1 WFI | Wide-swath multispectral | ~60–64 m | Blue, Green, Red, NIR | Large-area land/forest monitoring | Yes |
| Sentinel-5P TROPOMI | Atmospheric spectrometer | km-scale | UV–VIS–NIR–SWIR | NO₂, O₃, SO₂, CO, CH₄, aerosols | Yes |
| Sentinel-4 UVN | Geostationary atmospheric spectrometer | ~8 km class design sampling | UV–VIS–NIR | Hourly European air quality | Copernicus |
| Sentinel-6 Poseidon-4 | Radar altimetry | Along-track measurement | Dual-frequency altimeter | SSH, waves, ocean wind | Yes |
* Availability differs between ALOS standard scenes and JAXA open global mosaic products; iTSensing should identify which collection is being searched rather than treating all PALSAR data as one product.
3. Data-Type Taxonomy
Optical Multispectral
Landsat OLI, Sentinel-2, CBERS, Amazônia-1. Pixel values become reflectance after appropriate processing.
Thermal
Landsat TIRS, ASTER TIR, SLSTR, MODIS, ECOSTRESS. Used for radiance/brightness temperature/surface temperature.
SAR
Sentinel-1, ALOS, NISAR, Biomass. Amplitude/backscatter and phase; independent of daylight and largely cloud-penetrating.
Hyperspectral
EMIT. Hundreds of contiguous narrow bands; wavelength metadata is essential.
Ocean Colour / Atmosphere
OLCI, MODIS, TROPOMI, Sentinel-4. Product semantics include Rrs, trace-gas columns, cloud and aerosol retrievals.
Altimetry
Sentinel-3 SRAL / Sentinel-6. Along-track geophysical measurements; not naturally a 2-D imagery cube.
4. Recommended iTSensing Processing Contract
Provider native product
↓
Download + integrity verification
↓
Unpack SAFE / HDF / NetCDF / ZIP as required
↓
Interpret product level + sensor metadata
↓
Convert only the scientifically relevant variables
↓
GeoTIFF / COG for true raster variables
+
.statistics.json
↓
S3 project path
↓
Layer / commit / warm tile
4.1 Do not flatten all missions into one generic raster
| Data Type | Recommended iTSensing Representation |
|---|---|
| Optical / thermal image | COG + statistics JSON |
| Hyperspectral cube | Multi-band COG where practical + wavelength metadata + statistics JSON |
| SAR detected backscatter | COG per polarization or multiband COG; preserve calibration unit |
| SAR complex / InSAR source | Preserve complex product for analysis; preview may be COG |
| Atmospheric geophysical swath | Geolocated COG/grid when rasterization is scientifically valid; otherwise native NetCDF plus derived raster |
| Altimetry track | Prefer point/vector/time-series representation; gridding should be a separate analysis |
5. Landsat 8 / Landsat 9 — OLI/TIRS
Landsat 8 and 9 provide a long-term land-observation standard. For iTSensing, Collection 2 Level-2 is generally the most analysis-friendly choice because it includes Surface Reflectance and Surface Temperature products where available.
| Band | Name | Spectral Range | Native Resolution | Typical Use |
|---|---|---|---|---|
| B1 | Coastal/Aerosol | 0.43–0.45 µm | 30 m | Coastal, aerosol, shallow water |
| B2 | Blue | 0.45–0.51 µm | 30 m | Water, visible composites |
| B3 | Green | 0.53–0.59 µm | 30 m | Vegetation/water discrimination |
| B4 | Red | 0.64–0.67 µm | 30 m | Vegetation indices |
| B5 | NIR | 0.85–0.88 µm | 30 m | Vegetation, water boundary |
| B6 | SWIR 1 | 1.57–1.65 µm | 30 m | Moisture, burn severity |
| B7 | SWIR 2 | 2.11–2.29 µm | 30 m | Minerals, burn, moisture |
| B8 | Panchromatic | 0.50–0.68 µm | 15 m | Pan sharpening |
| B9 | Cirrus | 1.36–1.38 µm | 30 m | Cirrus detection |
| B10 | TIR 1 | 10.60–11.19 µm | 100 m native* | Surface temperature |
| B11 | TIR 2 | 11.50–12.51 µm | 100 m native* | Thermal retrieval / split-window research |
* Standard distributed Landsat products commonly resample thermal data to the 30 m grid, but the TIRS native ground sampling is coarser. The metadata should preserve this distinction.
Recommended catalog products
- Collection 2 Level-2 Surface Reflectance.
- Collection 2 Level-2 Surface Temperature where generated.
- Level-1 only when the user explicitly needs radiance/TOA processing or custom correction.
Good analysis targets
NDVI/EVI, burn severity, water indices, land-cover classification, surface temperature, urban heat, geology and long-term change detection.
10. Sentinel-1 — C-band Synthetic Aperture Radar
Sentinel-1 supports several imaging modes. Resolution and swath depend on mode and product. The iTSensing catalog should expose product type and polarization explicitly, not only the mission name.
| Mode | Concept | Typical Role | Catalog Notes |
|---|---|---|---|
| SM — Stripmap | High-resolution strip imaging | Selected areas | Less common for global systematic land acquisition |
| IW — Interferometric Wide Swath | TOPS wide-swath SAR | Main land mode | Common GRD/SLC source for land and InSAR workflows |
| EW — Extra Wide Swath | Wider coverage | Sea ice, maritime | Lower spatial detail than narrow modes |
| WV — Wave | Small imagettes | Ocean wave spectra | Not a normal continuous scene |
Product levels
- SLC: complex amplitude + phase; required for interferometry/coherence workflows.
- GRD: detected ground-range product; easier for backscatter visualization and thematic analysis.
Recommended iTSensing handling
Sentinel-1 GRD → orbit / border noise / thermal noise as needed → radiometric calibration → terrain correction → sigma0 / gamma0 backscatter → COG + statistics.json Sentinel-1 SLC → preserve complex source → use dedicated InSAR pipeline
6. Sentinel-2 — Multispectral Instrument (MSI)
| Band | Name | Center | Resolution |
|---|---|---|---|
| B1 | Coastal aerosol | 443 nm | 60 m |
| B2 | Blue | 490 nm | 10 m |
| B3 | Green | 560 nm | 10 m |
| B4 | Red | 665 nm | 10 m |
| B5 | Red Edge 1 | 705 nm | 20 m |
| B6 | Red Edge 2 | 740 nm | 20 m |
| B7 | Red Edge 3 | 783 nm | 20 m |
| B8 | NIR | 842 nm | 10 m |
| B8A | Narrow NIR | 865 nm | 20 m |
| B9 | Water vapour | 945 nm | 60 m |
| B10 | Cirrus | 1375 nm | 60 m |
| B11 | SWIR 1 | 1610 nm | 20 m |
| B12 | SWIR 2 | 2190 nm | 20 m |
Preferred product
Level-2A Surface Reflectance for most downstream analysis. Level-1C TOA reflectance remains useful when custom atmospheric correction is explicitly required.
Important processing rule
Do not silently resample all bands to 10 m and pretend they have equal native information content. Resampling is useful for computation, but the metadata should retain original 10/20/60 m band resolution.
7. MODIS — Terra / Aqua
MODIS is a multi-domain mission supporting land, atmosphere and ocean applications. The same sensor family includes many Level-2/3/4 science products, so catalog search should show the product short name, not only “MODIS”.
| Band | Spectral Range | Resolution | Primary Design Use |
|---|---|---|---|
| 1 | 620–670 nm | 250 m | Land/cloud boundaries |
| 2 | 841–876 nm | 250 m | Land/cloud boundaries |
| 3 | 459–479 nm | 500 m | Land/cloud properties |
| 4 | 545–565 nm | 500 m | Land/cloud properties |
| 5 | 1230–1250 nm | 500 m | Land/cloud properties |
| 6 | 1628–1652 nm | 500 m | Land/cloud properties |
| 7 | 2105–2155 nm | 500 m | Land/cloud properties |
| 8 | 405–420 nm | 1 km | Ocean colour |
| 9 | 438–448 nm | 1 km | Ocean colour |
| 10 | 483–493 nm | 1 km | Ocean colour |
| 11 | 526–536 nm | 1 km | Ocean colour |
| 12 | 546–556 nm | 1 km | Ocean colour |
| 13 | 662–672 nm | 1 km | Ocean colour / chlorophyll |
| 14 | 673–683 nm | 1 km | Ocean colour / chlorophyll |
| 15 | 743–753 nm | 1 km | Ocean colour |
| 16 | 862–877 nm | 1 km | Ocean colour / aerosol |
| 17 | 890–920 nm | 1 km | Atmospheric water vapour |
| 18 | 931–941 nm | 1 km | Atmospheric water vapour |
| 19 | 915–965 nm | 1 km | Atmospheric water vapour |
| 20 | 3.660–3.840 µm | 1 km | Surface/cloud temperature |
| 21 | 3.929–3.989 µm | 1 km | Fire / surface temperature |
| 22 | 3.929–3.989 µm | 1 km | Cloud/surface temperature |
| 23 | 4.020–4.080 µm | 1 km | Cloud/surface temperature |
| 24 | 4.433–4.498 µm | 1 km | Atmospheric temperature |
| 25 | 4.482–4.549 µm | 1 km | Atmospheric temperature |
| 26 | 1.360–1.390 µm | 1 km | Cirrus |
| 27 | 6.535–6.895 µm | 1 km | Water vapour |
| 28 | 7.175–7.475 µm | 1 km | Water vapour |
| 29 | 8.400–8.700 µm | 1 km | Cloud properties |
| 30 | 9.580–9.880 µm | 1 km | Ozone |
| 31 | 10.780–11.280 µm | 1 km | Cloud/surface temperature |
| 32 | 11.770–12.270 µm | 1 km | Cloud/surface temperature |
| 33 | 13.185–13.485 µm | 1 km | Cloud-top altitude |
| 34 | 13.485–13.785 µm | 1 km | Cloud-top altitude |
| 35 | 13.785–14.085 µm | 1 km | Cloud-top altitude |
| 36 | 14.085–14.385 µm | 1 km | Cloud-top altitude |
Typical open-data product families for iTSensing
- Surface reflectance (e.g. Terra/Aqua land products).
- Vegetation indices and land cover.
- Land surface temperature.
- Ocean colour / chlorophyll / SST from ocean products.
- Aerosol, clouds and atmospheric products.
8. ASTER — Terra
| Band | Spectral Range | Resolution | Subsystem |
|---|---|---|---|
| 1 | 0.52–0.60 µm | 15 m | VNIR |
| 2 | 0.63–0.69 µm | 15 m | VNIR |
| 3N | 0.78–0.86 µm | 15 m | VNIR nadir |
| 3B | 0.78–0.86 µm | 15 m | VNIR backward stereo |
| 4 | 1.600–1.700 µm | 30 m | SWIR |
| 5 | 2.145–2.185 µm | 30 m | SWIR |
| 6 | 2.185–2.225 µm | 30 m | SWIR |
| 7 | 2.235–2.285 µm | 30 m | SWIR |
| 8 | 2.295–2.365 µm | 30 m | SWIR |
| 9 | 2.360–2.430 µm | 30 m | SWIR |
| 10 | 8.125–8.475 µm | 90 m | TIR |
| 11 | 8.475–8.825 µm | 90 m | TIR |
| 12 | 8.925–9.275 µm | 90 m | TIR |
| 13 | 10.25–10.95 µm | 90 m | TIR |
| 14 | 10.95–11.65 µm | 90 m | TIR |
Strengths
- Geology/mineral mapping through SWIR/TIR heritage data.
- Thermal analysis and volcanology.
- Along-track stereoscopy using 3N/3B for elevation products.
iTSensing note
ASTER products may arrive as HDF. Preserve subsystem resolution and product level. The catalog should distinguish Level-1 radiance from higher-level surface radiance, temperature, emissivity or DEM products.
9. ECOSTRESS — ISS Thermal Radiometer
ECOSTRESS is optimized for plant temperature, water stress, evapotranspiration and surface energy applications. The irregular ISS overpass timing is scientifically valuable because it samples different times of day.
Recommended products
- Level-2 Land Surface Temperature and Emissivity.
- Evapotranspiration and evaporative-stress products where relevant.
- Use Level-1 radiance only for specialized thermal processing.
11. ALOS / ALOS-2 — PALSAR / PALSAR-2
ALOS PALSAR and ALOS-2 PALSAR-2 are long-wavelength SAR systems particularly valuable for forest structure, biomass, land cover and surface deformation.
Two different catalog concepts
| Collection | Meaning | Resolution | Use |
|---|---|---|---|
| Standard scene products | Acquisition-level SAR products | Mode dependent; finer than global mosaic in selected modes | SAR processing / detailed studies |
| JAXA Global Mosaic | Annual, ortho/slope-corrected Gamma-0 backscatter mosaic | ~25 m | Forest/global land monitoring |
The JAXA global 25 m mosaics provide HH/HV backscatter for PALSAR/PALSAR-2 years depending on mission coverage and are analysis-ready compared with raw SAR scenes.
12. NISAR — NASA–ISRO Synthetic Aperture Radar
NISAR carries two SAR instruments. NASA's L-SAR provides the principal global science observations; ISRO's S-SAR provides complementary coverage over designated regions.
Spatial capability
NASA states L-SAR capability around 7 m along-track and approximately 2–8 m cross-track depending on mode, with a ~242 km swath. Distributed science products may be posted at product-specific pixel spacing, so the catalog should show the actual product resolution rather than one mission-wide number.
Science
- Earth deformation and earthquakes.
- Glaciers and ice sheets.
- Forest disturbance and ecosystem structure.
- Agriculture and soil-moisture-related applications.
- InSAR/coherence and change detection.
13. ESA Biomass — P-band Polarimetric SAR
ESA Biomass is the first spaceborne P-band SAR mission, designed primarily to measure forest woody biomass, height/structure and carbon-related variables. The long wavelength penetrates deeper into forest canopies than shorter-wavelength operational SAR systems.
Mission relevance
- Above-ground biomass and carbon stock.
- Forest height/structure through polarimetric interferometric/tomographic phases.
- Forest disturbance and regrowth.
- Secondary investigations of ice, subsurface geology in dry regions and topography.
14. EMIT — Earth Surface Mineral Dust Source Investigation
EMIT is mounted on the International Space Station. The Level-2A reflectance product contains approximately 285 surface-reflectance bands, ideal for the planned iTSensing Hyperspectral toolbox.
Recommended iTSensing product
EMIT L2A Reflectance → preserve wavelengths → preserve FWHM / good-band mask / geolocation → orthorectified or geolocated raster representation → multi-band COG where practical → .statistics.json → Hyperspectral tools
Best applications
Mineral identification, spectral libraries, material mapping, vegetation traits, surface composition, spectral unmixing, SAM/SID and other imaging-spectroscopy workflows.
15. Sentinel-3 OLCI — Ocean and Land Colour Instrument
| Band | Center | Resolution | Typical Scientific Role |
|---|---|---|---|
| Oa01 | 400 nm | 300 m | Aerosol / ocean colour |
| Oa02 | 412.5 nm | 300 m | Yellow substance / atmospheric correction |
| Oa03 | 442.5 nm | 300 m | Chlorophyll absorption / blue |
| Oa04 | 490 nm | 300 m | Blue-green ocean colour |
| Oa05 | 510 nm | 300 m | Chlorophyll / water |
| Oa06 | 560 nm | 300 m | Green reflectance |
| Oa07 | 620 nm | 300 m | Sediment / chlorophyll |
| Oa08 | 665 nm | 300 m | Chlorophyll absorption |
| Oa09 | 673.75 nm | 300 m | Chlorophyll fluorescence shoulder |
| Oa10 | 681.25 nm | 300 m | Chlorophyll fluorescence peak |
| Oa11 | 708.75 nm | 300 m | Red edge / chlorophyll |
| Oa12 | 753.75 nm | 300 m | Vegetation / O₂ continuum |
| Oa13 | 761.25 nm | 300 m | O₂ A absorption |
| Oa14 | 764.375 nm | 300 m | O₂ A absorption |
| Oa15 | 767.5 nm | 300 m | O₂ A absorption |
| Oa16 | 778.75 nm | 300 m | Atmospheric / vegetation |
| Oa17 | 865 nm | 300 m | Aerosol / vegetation |
| Oa18 | 885 nm | 300 m | Water vapour / aerosol |
| Oa19 | 900 nm | 300 m | Water vapour / land |
| Oa20 | 940 nm | 300 m | Water vapour absorption |
| Oa21 | 1020 nm | 300 m | Aerosol correction |
Applications
Chlorophyll-a, ocean colour, NDCI/MCI-type analyses, suspended matter, turbidity, water quality, algal blooms, atmospheric correction, vegetation and coastal monitoring.
iTSensing product rule
OLCI native products are commonly NetCDF/SAFE structures. Convert only the required variables/bands to COG while retaining flags and geophysical units. A Level-2 geophysical product should not be relabeled as generic “reflectance”.
16. Sentinel-3 SLSTR — Sea and Land Surface Temperature Radiometer
| Channel | Approx. Center | Resolution | Role |
|---|---|---|---|
| S1 | 0.555 µm | 500 m | Visible / green |
| S2 | 0.659 µm | 500 m | Visible / red |
| S3 | 0.865 µm | 500 m | NIR |
| S4 | 1.375 µm | 500 m | Cirrus |
| S5 | 1.61 µm | 500 m | SWIR |
| S6 | 2.25 µm | 500 m | SWIR |
| S7 | 3.74 µm | 1 km | MWIR / thermal |
| S8 | 10.85 µm | 1 km | TIR / SST-LST |
| S9 | 12.0 µm | 1 km | TIR / SST-LST |
| F1 | 3.74 µm | 1 km | Fire channel |
| F2 | 10.85 µm | 1 km | Fire channel |
Applications
Sea Surface Temperature, Land Surface Temperature, thermal fronts, fire detection, clouds, ocean/land thermal monitoring and synergy with OLCI.
17. Sentinel-3 SRAL — Important Non-Image Note
Sentinel-3 also carries the SRAL radar altimeter. It measures along-track ocean/ice surface topography rather than producing a normal 2-D optical image.
Natural data model
SRAL NetCDF / SAFE → measurement time + latitude + longitude → sea-surface height / range / wave-related variables → quality flags → point / track layer Optional later analysis: Altimetry track → interpolation / gridding → COG + statistics.json
18. Sentinel-5P — TROPOMI
| Spectral Group | Range | Typical Products |
|---|---|---|
| UV | ~267–400 nm | Ozone, SO₂, aerosol-related retrievals |
| VIS | ~400–499 nm | NO₂ and cloud/air-quality retrievals |
| NIR | ~661–786 nm | Cloud / O₂ related retrieval support |
| SWIR | ~2300–2389 nm | CO / CH₄-related atmospheric retrievals |
Current Level-2 pixel size varies by product and processing history; many products are in the several-kilometre range. The catalog should read resolution from each product rather than hard-coding one number.
Main Level-2 concepts
NO₂, O₃, SO₂, CO, CH₄, HCHO, aerosols, clouds and related atmospheric composition products.
19. Sentinel-4 — Geostationary Air-Quality Spectrometer
Sentinel-4 is an instrument carried on Meteosat Third Generation Sounder satellites. It is designed for frequent atmospheric composition observations over Europe and surrounding regions.
Target products
NO₂, O₃, SO₂, formaldehyde, glyoxal, aerosols and supporting cloud products. Its main advantage over polar-orbiting atmospheric sensors is high temporal frequency.
20. Sentinel-6 — Poseidon-4 Radar Altimetry
Sentinel-6 continues the reference altimetry record for global mean sea level and ocean topography. Poseidon-4 provides high-precision radar-ranging measurements from which SSH, significant wave height and ocean wind-speed products are derived.
Representation in iTSensing
Like SRAL, Sentinel-6 is naturally along-track. The native altimetry time series should be preserved, with optional explicit gridding when users need a raster.
21. CBERS-4
Key cameras
| Camera | Spectral Role | Resolution Class | Swath / Use |
|---|---|---|---|
| MUX | Blue, Green, Red, NIR | 20 m | ~120 km; land mapping |
| WFI | Visible + NIR | ~64 m | Very wide swath; rapid land/vegetation monitoring |
| PanMUX | Panchromatic + multispectral configuration | High-resolution class; product-specific | Detail mapping |
| IRS | Infrared / thermal heritage sensor | Coarser | Specialized IR applications |
22. CBERS-4A
| Camera | Bands | Resolution | Swath | Typical Revisit |
|---|---|---|---|---|
| WPM | Panchromatic + Blue/Green/Red/NIR | 2 m PAN, 8 m MS | ~92 km | ~31-day nadir cycle; pointing increases access |
| MUX | Blue/Green/Red/NIR | 16 m | ~120 km | ~31-day class |
| WFI | Blue/Green/Red/NIR | 55 m | ~684 km | ~5 days |
CBERS-4A is especially useful because it combines very wide WFI monitoring with substantially finer WPM imagery in one open-data mission family.
23. Amazônia-1 — WFI
Amazônia-1 is optimized for frequent wide-area land observation, especially forest and agricultural monitoring. INPE documentation describes WFI coverage with approximately 64 m nadir resolution and about 850 km across-track coverage; some processed/STAC products are distributed on approximately 60–64 m grids.
Band family
| Band | Approximate Range | Main Use |
|---|---|---|
| Blue | ~0.45–0.52 µm | Water/atmosphere/visible composite |
| Green | ~0.52–0.59 µm | Vegetation/visible composite |
| Red | ~0.63–0.69 µm | Vegetation indices |
| NIR | ~0.77–0.89 µm | Vegetation, water separation |
Preferred iTSensing product
Use INPE's orthorectified Surface Reflectance/COG collection when available in the catalog, rather than redoing atmospheric correction from DN unless specifically requested.
24. Recommended Default Product Selection in iTSensing
| Mission | Default User-Friendly Product | Why |
|---|---|---|
| Landsat 8/9 | Collection 2 Level-2 | Surface Reflectance / Surface Temperature science-ready products. |
| Sentinel-1 | GRD for general use; SLC for InSAR | Avoid forcing complex SAR into ordinary raster workflow. |
| Sentinel-2 | Level-2A | Surface Reflectance + scene classification/quality support. |
| Sentinel-3 OLCI | L2 ocean/land geophysical product or L1 when custom processing is required | Scientific units are more useful than raw radiance for many ocean workflows. |
| Sentinel-3 SLSTR | L2 SST/LST where available | Validated temperature retrieval preferred. |
| MODIS | Product-specific L2/L3 science product | MODIS is a product ecosystem, not one imagery type. |
| ASTER | Orthorectified/radiance or L2 temperature/emissivity depending task | Keep VNIR/SWIR/TIR semantics. |
| EMIT | L2A Reflectance | Direct input to hyperspectral analysis. |
| ECOSTRESS | L2 LST/Emissivity or higher science product | Direct thermal science use. |
| ALOS | 25 m Gamma-0 mosaic for broad land/forest monitoring; standard scene for detailed SAR | Different use cases require different products. |
| NISAR | Analysis-ready radar product matching task | Keep phase-capable products for InSAR tasks. |
| Biomass | Exact released Level-1/2 product with version recorded | Mission is newly operational and product availability evolves. |
| CBERS / Amazônia | INPE orthorectified Surface Reflectance/COG when available | Fastest integration into GIS/raster analysis. |
| Sentinel-5P / 4 | Level-2 geophysical variable | Users want NO₂/O₃/etc., not only raw spectra. |
| Sentinel-6 / SRAL | Native geophysical track product | Do not force altimetry into image format. |
25. Important Limitations & UI Rules
- Resolution belongs to the product/sensor, not just the satellite. One mission can have multiple sensors and resolutions.
- Product level must be visible. DN, radiance, TOA reflectance, surface reflectance and geophysical Level-2 products are not interchangeable.
- Native format is not always GeoTIFF. SAFE, NetCDF4, HDF/HDF-EOS and complex SAR formats are normal.
- Atmospheric and ocean products need quality flags. Do not discard flags simply to simplify conversion.
- SAR has phase and polarization semantics. A grayscale PNG preview is not an adequate representation of the science data.
- Hyperspectral requires wavelength metadata. A 285-band TIFF without wavelengths is scientifically incomplete.
- Altimetry is along-track. Store as vector/time series first; grid only when explicitly requested.
- “Open data” does not always mean anonymous download. Providers may require a free account/token even when the data licence is open.
- Collection/version matters. MODIS, Landsat, Sentinel, Biomass and other providers update processors and collections. Store collection/processor version in metadata.
26. Official / Primary References
- USGS — Landsat 8 and Landsat mission documentation.
- USGS — Landsat band designations.
- Copernicus Data Space — Sentinel-1.
- Copernicus Data Space — Sentinel-2.
- Copernicus Data Space — Sentinel-3.
- Copernicus SentiWiki — OLCI instrument.
- Copernicus SentiWiki — SLSTR instrument.
- NASA Earthdata — MODIS spectral bands.
- NASA Earthdata — ASTER spectral bands.
- NASA Earthdata — EMIT Imaging Spectrometer.
- LP DAAC — ECOSTRESS overview.
- NASA — NISAR satellite and radars.
- NASA — NISAR mission concept and open-data policy.
- JAXA EORC — Global 25 m PALSAR/PALSAR-2 mosaics.
- JAXA — PALSAR-2.
- ESA Earth Online — Biomass.
- ESA — Biomass open data announcement.
- INPE — Open STAC catalog for CBERS/Amazônia collections.
- INPE — Amazônia-1 mission.
- Copernicus — Sentinel-5P TROPOMI L1B spectral specifications.
- ESA — Sentinel-4.
- Copernicus — Sentinel-6 Poseidon-4.