Landsat Next
From EOpedia
The next Landsat satellite has left the design phase, and its start is scheduled for late 2030. The Next Landsat mission will make use of a constellation consisting of three satellites. This allows to decrease the revisit time from 16 (Landsat 8 and 9) to 6 days. Landsat Next will have pixel resolutions ranging from 10 to 60 meters. The spectral bands of its predecessors will be continued but further extended by new bands to allow new applications.
Satellite Orbit (planned)
| Orbit | sun-synchronous, near-polar orbit |
| Altitude | 653 km |
| Inclination | 98° |
| Period | 99 minutes; ~14.5 orbits/day |
| Repeat Cycle | 18 days for single satellite
6 days for triplet constellation |
| Equator Crossing Time | 10:10 UTC |
Spectral bands (planned)
| Number / Band Name | Resolution (m) | Wavelength (nm) | Application |
|---|---|---|---|
| #1 / Violet | 60 | 402 - 422 | Aerosol retrieval, atmospheric correction, detection of coloured dissolved organic matter. |
| #2 / Coastal/Aerosol | 20 | 433 - 453 | Vegetation health and plant vigour assessments. |
| #3 / Blue | 10 | 457.5 - 522.5 | Bathymetry, soil/vegetation mapping, detection of snow impurities. |
| #4 / Green | 10 | 542.5 - 577.5 | Vegetation health and plant vigour assessments. |
| #5 / Yellow | 20 | 585 - 615 | Detection of leaf chlorosis and vegetation stress, aquatic health and water quality assessments. |
| #6 / Orange | 20 | 610 - 630 | Phycocyanin (cyanobacteria) detection. |
| #7 / Red 1 | 20 | 640 - 660 | Phycocyanin fluorescence (cyanobacteria) detection, chlorophyll content mapping. |
| #8 / Red 2 | 10 | 650 - 680 | Chlorophyll content and vegetation mapping, vegetation differentiation. |
| #9 / Red Edge | 20 | 697.5 - 712.5 | Leaf area index mapping, chlorophyll content and plant stress mapping. |
| #10 / Red Edge | 20 | 732.5 - 747.5 | Leaf area index mapping, chlorophyll content and plant stress mapping. |
| #11 / NIR Broad | 10 | 784.5 - 899.5 | 10-meter NDVI, biomass content and shoreline detection. |
| #12 / NIR 1 | 20 | 855 - 875 | Biomass content and shoreline detection |
| #13 / Water Vapor | 60 | 935 - 955 | Atmospheric correction for land surface temperature, surface reflectance. |
| #14 / Liquid Water | 20 | 975 - 995 | Liquid water and water surface state detection, vegetation water content mapping. |
| #15 / Snow/Ice 1 | 20 | 1025 - 1045 | Snow grain size mapping. |
| #16 / Snow/Ice 2 | 20 | 1080 - 1100 | Ice absorption, snow grain size mapping. |
| #17 / Cirrus | 60 | 1360 - 1390 | Detection of cirrus (high-altitude) clouds |
| #18 / SWIR 1 | 10 | 1565 - 1655 | Detection of non-photosynthetic vegetation, fuel moisture mapping. |
| #19 / SWIR 2a | 20 | 2025.5 - 2050.5 | Cellulose/crop residue mapping. |
| #20 / SWIR 2b | 20 | 2088 - 2128 | Cellulose/crop residue and soil moisture content mapping, f ire scar detection. |
| #21 / SWIR 2c | 20 | 2191 - 2231 | Cellulose/crop residue and soil moisture content mapping, f ire scar detection. |
| #22 / TIR 1 | 60 | 8175 - 8425 | Mineral and surface composition mapping. |
| #23 / TIR 2 | 60 | 8425 - 8775 | Emissivity separation, volcano/sulfur dioxide emissions mapping. |
| #24 / TIR 3 | 60 | 8925 - 9275 | Mineral and surface composition mapping. |
| #25 / TIR 4 | 60 | 11025 - 11575 | Surface temperature retrieval, carbonate mineral mapping. |
| #25 / TIR 5 | 60 | 11725 - 12275 | Surface temperature retrieval, snow grain size and moisture content mapping. |
