Evaluating land surface albedo estimation from Landsat MSS, TM, ETM +, and OLI data based on the unified direct estimation approach-Reference-Cited by-同舟云学术

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Evaluating land surface albedo estimation from Landsat MSS, TM, ETM +, and OLI data based on the unified direct estimation approach

Published:2018-01 Issue: Volume:204 Page:181-196
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

He Tao^ORCID,Liang Shunlin,Wang Dongdong,Cao Yunfeng,Gao Feng,Yu Yunyue,Feng Min

Funder

National 863 Project of China

National Natural Science Foundation of China

NASA

NOAA GOES-R surface albedo project

University of Maryland, College Park

National Key Research and Development Program of China

National Defense project of China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference61 articles.

1. The ASTER spectral library version 2.0;Baldridge;Remote Sens. Environ.,2009

2. Spatial scaling of reflectance and surface albedo over a mixed-use, temperate forest landscape during snow-covered periods;Burakowski;Remote Sens. Environ.,2015

3. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors;Chander;Remote Sens. Environ.,2009

4. USGS Digital Spectral Library splib06a;Clark,2007

5. Intercomparison of Landsat albedo retrieval techniques and evaluation against in situ measurements across the US SURFRAD network;Franch;Remote Sens. Environ.,2014

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