Biomass | 4 - fair | Cloud sensitive.. Index only.. Daylight only. | VIS, NIR and SWIR channels. Biomass inferred from NDVI and LAI |
Cloud cover* | 5 - marginal | Daylight only. | VIS and NIR channels |
Cloud optical depth* | 3 - high | Low-density cloud only.. Daylight only. | VIS, NIR and SWIR channels |
Cloud type* | 5 - marginal | Daylight only. | VIS and NIR channels |
Downward short-wave irradiance at Earth surface | 3 - high | Cloud sensitive.. Highly indirect. | VIS, NIR and SWIR channels |
Earth surface short-wave bidirectional reflectance | 3 - high | Cloud sensitive. | VIS, NIR and SWIR channels with changing solar incidence angles as daylight progresses |
Fire fractional cover | 5 - marginal | Cloud sensitive.. Coarse spatial resolution.. Daylight only. | VIS channels |
Leaf Area Index (LAI) | 2 - very high | Cloud sensitive.. Daylight only. | VIS, NIR and SWIR channels |
Normalised Difference Vegetation Index (NDVI) | 3 - high | Cloud sensitive. | VIS and NIR channels |
Short-wave cloud reflectance | 4 - fair | No specific limitation. | VIS, NIR and SWIR channels |
Snow cover | 2 - very high | Cloud sensitive.. Daylight only. | VIS, NIR and SWIR channels enabling screening snow from clouds. Frequent sampling improves probability of cloud-free views |
Soil moisture at surface | 5 - marginal | Cloud sensitive.. Index only.. Daylight only. | VIS, NIR and SWIR channels. Soil moisture inferred from differential brightness |
Upward short-wave irradiance at TOA | 3 - high | Spectral interpolation needed. | VIS, NIR and SWIR channels with changing solar incidence angles as daylight progresses |
Aerosol volcanic ash | 5 - marginal | Cloud sensitive.. Daylight only. | VIS, NIR and SWIR channels |
Aerosol volcanic ash Total Column | 4 - fair | Cloud sensitive.. Daylight only. | VIS and NIR and SWIR channels. Frequent sampling (GEO) enables early detection of ash plumes |
Wind (horizontal)* | 5 - marginal | Cloud or water vapour tracers needed.. Daylight only. | VIS channel(s). Frequent sampling (GEO) enables inference from cloud motion |