Hyperspectral Remote Sensing of Vegetation
| Author | : | |
| Rating | : | 4.94 (897 Votes) |
| Asin | : | 1439845379 |
| Format Type | : | paperback |
| Number of Pages | : | 782 Pages |
| Publish Date | : | 2014-05-02 |
| Language | : | English |
DESCRIPTION:
There is also a need for a synthesis of the vast knowledge spread throughout the literature from more than 40 years of research. This comprehensive book brings together the best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, vegetation classification, biophysical and biochemical modeling, crop productivity and water productivity mapping, and modeling. Hyperspectral Remote Sensing of Vegetation integrates this knowledge, guiding readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Hyperspectral narrow-band (or imaging spectroscopy) spectral data are fast emerging as practica
Huete’s research interests focus on understanding large-scale soil–vegetation–climate interactions, processes, and changes with remotely sensed measurements from satellites. Thenkabail has more than 25 years experience working as a well recognized international expert in remote sensing and geographic information systems and their applications to agriculture, natural resource management, water resou
Jensen, PhD, Carolina Distinguished Professor, Department of Geography, University of South Carolina, Columbia, USAHyperspectral Remote Sensing of Vegetation fills an important gap in today’s literature. "The authors solicited the help of numerous high-quality hyperspectral remote sensing scientists to write this book. The book documents numerous practical applications of hyperspectral remote sensing for forest management, precision farming, monitoring invasive species, and local to global land cover change detection. John R. This