Remotely Sensed Albedo
Liang, Shunlin
Remotely Sensed Albedo - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (250 p.)
Open Access
Albedo is a known and documented phenomenon, defined as the reflectivity of a surface, i.e., the ratio of reflected light energy to incident light energy. It is a dimensionless quantity, used in particular in agro-forestry, urban environment, cryosphere and geology. It is an Essential Climate Variable (ECV), deemed extremely meaningful to compute the earth heat balance. The albedo of natural surfaces varies largely, especially in the visible, with the lowest values found for water bodies and dense vegetation canopies and the highest values for desert and snow. It also changes with the angular distribution and spectral composition of the incident radiation and with the surface moisture. Satellite observations allow consistent measuring of the surface albedo at continental scale over a short period of time. Long-term series of surface albedo are good indicators of climate change, especially over glaciers and polar caps. On the other hand, the albedo of bare soil provides a good diagnostic of their degradation. The reliability of satellite albedo is verified against ground-based radiometers and UAV, which also serves to calibrate the instruments embarked on space-borne observing systems and check the quality of the atmospheric correction.
Creative Commons
English
books978-3-03943-942-3 9783039439416 9783039439423
10.3390/books978-3-03943-942-3 doi
Research & information: general
Environmental economics
surface albedo urbanization vegetation variation climate change DMSP albedo land use remote sensing Unmanned Aerial Vehicles vegetation indices snow climate Unmanned Aerial Vehicle (UAV) landscape consumer-grade camera radiometric calibration sea ice VIIRS Arctic PROMICE GC-NET validation AVHRR BRDF MODIS VJB LTDR directional correction spatial representativeness semivariogram Landsat HLS Sentinel 2 SURFRAD OzFlux directional hemispherical reflectance bi-hemispherical reflectance tower albedometer CGLS MISR upscaling bare soil albedo MODIS albedo contiguous United States soil line Landsat albedo soil moisture land surface albedo time series high spatio-temporal resolution EnKF spectral unmixing empirical modeling linear endmember forest cover forest management forest structure BRDF/Albedo NDSI Snow Cover n/a
Remotely Sensed Albedo - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (250 p.)
Open Access
Albedo is a known and documented phenomenon, defined as the reflectivity of a surface, i.e., the ratio of reflected light energy to incident light energy. It is a dimensionless quantity, used in particular in agro-forestry, urban environment, cryosphere and geology. It is an Essential Climate Variable (ECV), deemed extremely meaningful to compute the earth heat balance. The albedo of natural surfaces varies largely, especially in the visible, with the lowest values found for water bodies and dense vegetation canopies and the highest values for desert and snow. It also changes with the angular distribution and spectral composition of the incident radiation and with the surface moisture. Satellite observations allow consistent measuring of the surface albedo at continental scale over a short period of time. Long-term series of surface albedo are good indicators of climate change, especially over glaciers and polar caps. On the other hand, the albedo of bare soil provides a good diagnostic of their degradation. The reliability of satellite albedo is verified against ground-based radiometers and UAV, which also serves to calibrate the instruments embarked on space-borne observing systems and check the quality of the atmospheric correction.
Creative Commons
English
books978-3-03943-942-3 9783039439416 9783039439423
10.3390/books978-3-03943-942-3 doi
Research & information: general
Environmental economics
surface albedo urbanization vegetation variation climate change DMSP albedo land use remote sensing Unmanned Aerial Vehicles vegetation indices snow climate Unmanned Aerial Vehicle (UAV) landscape consumer-grade camera radiometric calibration sea ice VIIRS Arctic PROMICE GC-NET validation AVHRR BRDF MODIS VJB LTDR directional correction spatial representativeness semivariogram Landsat HLS Sentinel 2 SURFRAD OzFlux directional hemispherical reflectance bi-hemispherical reflectance tower albedometer CGLS MISR upscaling bare soil albedo MODIS albedo contiguous United States soil line Landsat albedo soil moisture land surface albedo time series high spatio-temporal resolution EnKF spectral unmixing empirical modeling linear endmember forest cover forest management forest structure BRDF/Albedo NDSI Snow Cover n/a