Remotely Sensed Albedo
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 Variab...
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| Format: | Book Chapter |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 04315naaaa2201069uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_68405 | ||
| 005 | 20210501 | ||
| 020 | |a books978-3-03943-942-3 | ||
| 020 | |a 9783039439416 | ||
| 020 | |a 9783039439423 | ||
| 024 | 7 | |a 10.3390/books978-3-03943-942-3 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a GP |2 bicssc | |
| 072 | 7 | |a KCN |2 bicssc | |
| 100 | 1 | |a Liang, Shunlin |4 edt | |
| 700 | 1 | |a Roujean, Jean-Louis |4 edt | |
| 700 | 1 | |a He, Tao |4 edt | |
| 700 | 1 | |a Liang, Shunlin |4 oth | |
| 700 | 1 | |a Roujean, Jean-Louis |4 oth | |
| 700 | 1 | |a He, Tao |4 oth | |
| 245 | 1 | 0 | |a Remotely Sensed Albedo |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
| 300 | |a 1 electronic resource (250 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Research & information: general |2 bicssc | |
| 650 | 7 | |a Environmental economics |2 bicssc | |
| 653 | |a surface albedo | ||
| 653 | |a urbanization | ||
| 653 | |a vegetation variation | ||
| 653 | |a climate change | ||
| 653 | |a DMSP | ||
| 653 | |a albedo | ||
| 653 | |a land use | ||
| 653 | |a remote sensing | ||
| 653 | |a Unmanned Aerial Vehicles | ||
| 653 | |a vegetation indices | ||
| 653 | |a snow | ||
| 653 | |a climate | ||
| 653 | |a Unmanned Aerial Vehicle (UAV) | ||
| 653 | |a landscape | ||
| 653 | |a consumer-grade camera | ||
| 653 | |a radiometric calibration | ||
| 653 | |a sea ice | ||
| 653 | |a VIIRS | ||
| 653 | |a Arctic | ||
| 653 | |a PROMICE | ||
| 653 | |a GC-NET | ||
| 653 | |a validation | ||
| 653 | |a AVHRR | ||
| 653 | |a BRDF | ||
| 653 | |a MODIS | ||
| 653 | |a VJB | ||
| 653 | |a LTDR | ||
| 653 | |a directional correction | ||
| 653 | |a spatial representativeness | ||
| 653 | |a semivariogram | ||
| 653 | |a Landsat | ||
| 653 | |a HLS | ||
| 653 | |a Sentinel 2 | ||
| 653 | |a SURFRAD | ||
| 653 | |a OzFlux | ||
| 653 | |a directional hemispherical reflectance | ||
| 653 | |a bi-hemispherical reflectance | ||
| 653 | |a tower albedometer | ||
| 653 | |a CGLS | ||
| 653 | |a MISR | ||
| 653 | |a upscaling | ||
| 653 | |a bare soil albedo | ||
| 653 | |a MODIS albedo | ||
| 653 | |a contiguous United States | ||
| 653 | |a soil line | ||
| 653 | |a Landsat albedo | ||
| 653 | |a soil moisture | ||
| 653 | |a land surface albedo | ||
| 653 | |a time series | ||
| 653 | |a high spatio-temporal resolution | ||
| 653 | |a EnKF | ||
| 653 | |a spectral unmixing | ||
| 653 | |a empirical modeling | ||
| 653 | |a linear endmember | ||
| 653 | |a forest cover | ||
| 653 | |a forest management | ||
| 653 | |a forest structure | ||
| 653 | |a BRDF/Albedo | ||
| 653 | |a NDSI Snow Cover | ||
| 653 | |a n/a | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/3421 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/68405 |7 0 |z DOAB: description of the publication |