LEADER 04619namaa2201177uu 4500
001 doab68405
003 oapen
005 20210501
006 m o d
007 cr|mn|---annan
008 210501s2021 xx |||||o ||| 0|eng d
020 |a 9783039439416 
020 |a 9783039439423 
020 |a books978-3-03943-942-3 
024 7 |a 10.3390/books978-3-03943-942-3  |2 doi 
040 |a oapen  |c oapen 
041 0 |a eng 
042 |a dc 
072 7 |a GP  |2 bicssc 
072 7 |a KCN  |2 bicssc 
720 1 |a Liang, Shunlin  |4 edt 
720 1 |a He, Tao  |4 edt 
720 1 |a He, Tao  |4 oth 
720 1 |a Liang, Shunlin  |4 oth 
720 1 |a Roujean, Jean-Louis  |4 edt 
720 1 |a Roujean, Jean-Louis  |4 oth 
245 0 0 |a Remotely Sensed Albedo 
260 |a Basel, Switzerland  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2021 
300 |a 1 online resource (250 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
506 0 |a Open Access  |f Unrestricted online access  |2 star 
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  |u https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Environmental economics  |2 bicssc 
650 7 |a Research & information: general  |2 bicssc 
653 |a albedo 
653 |a Arctic 
653 |a AVHRR 
653 |a bare soil albedo 
653 |a bi-hemispherical reflectance 
653 |a BRDF 
653 |a BRDF/Albedo 
653 |a CGLS 
653 |a climate 
653 |a climate change 
653 |a consumer-grade camera 
653 |a contiguous United States 
653 |a directional correction 
653 |a directional hemispherical reflectance 
653 |a DMSP 
653 |a empirical modeling 
653 |a EnKF 
653 |a forest cover 
653 |a forest management 
653 |a forest structure 
653 |a GC-NET 
653 |a high spatio-temporal resolution 
653 |a HLS 
653 |a land surface albedo 
653 |a land use 
653 |a Landsat 
653 |a Landsat albedo 
653 |a landscape 
653 |a linear endmember 
653 |a LTDR 
653 |a MISR 
653 |a MODIS 
653 |a MODIS albedo 
653 |a n/a 
653 |a NDSI Snow Cover 
653 |a OzFlux 
653 |a PROMICE 
653 |a radiometric calibration 
653 |a remote sensing 
653 |a sea ice 
653 |a semivariogram 
653 |a Sentinel 2 
653 |a snow 
653 |a soil line 
653 |a soil moisture 
653 |a spatial representativeness 
653 |a spectral unmixing 
653 |a surface albedo 
653 |a SURFRAD 
653 |a time series 
653 |a tower albedometer 
653 |a Unmanned Aerial Vehicle (UAV) 
653 |a Unmanned Aerial Vehicles 
653 |a upscaling 
653 |a urbanization 
653 |a validation 
653 |a vegetation indices 
653 |a vegetation variation 
653 |a VIIRS 
653 |a VJB 
793 0 |a DOAB Library. 
856 4 0 |u https://directory.doabooks.org/handle/20.500.12854/68405  |7 0  |z Open Access: DOAB: description of the publication 
856 4 0 |u https://mdpi.com/books/pdfview/book/3421  |7 0  |z Open Access: DOAB, download the publication