Sub‐pixel reflectance unmixing in estimating vegetation water content and dry biomass of corn and soybeans cropland using normalized difference water index (NDWI) from satellites-Reference-Cited by-同舟云学术

Sub‐pixel reflectance unmixing in estimating vegetation water content and dry biomass of corn and soybeans cropland using normalized difference water index (NDWI) from satellites

Published:2009-04-20 Issue:8 Volume:30 Page:2075-2104
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Huang Jingfeng¹,Chen Daoyi²,Cosh M. H.³

Affiliation:

1. a Rosenstiel School of Marine and Atmospheric Science , University of Miami , Miami , FL 33149‐1031

2. b Department of Engineering , The University of Liverpool , Liverpool L69 3GQ , UK

3. c Hydrology and Remote Sensing Laboratory , Agricultural Research Service , United States Department of Agriculture , Beltsville, MD , 20705‐2350

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160802549245

Reference39 articles.

1. Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery

2. A Biogeophysical Approach for Automated SWIR Unmixing of Soils and Vegetation

3. The soil line concept in remote sensing

4. On the relation between NDVI, fractional vegetation cover, and leaf area index

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