Hyperspectral remote sensing of vegetation
Thenkabail, Prasad,
Hyperspectral remote sensing of vegetation Prasad S. Thenkabail; John G. Lyon & Alfredo Huete. - 17 - Boca Raton, FL: CRC Press, 2012. - xxxv, 705 pages: illustrations (some color), maps (some color); 27 cm.
pt. 1. Introduction and overview
pt. 2. Hyperspectral sensor systems
pt. 3. Data mining, algorithms, indices
pt. 4. Leaf and plant biophysical and biochemical properties
pt. 5. Vegetation biophysical properties
pt. 6. Vegetation processes and function (ET, water use, GPP, LUE, phenology)
pt. 7. Species identification
pt. 8. Land cover applications
pt. 9. Detecting crop management, plant stress, and disease
pt. 10. Hyperspectral data in global change studies
pt. 11. Hyperspectral remote sensing of outer planets
pt. 12. Conclusions and way forward.
The book demonstrates the experience, utility, methods and models used in studying vegetation using hyperspectral data. Written by leading experts, including pioneers in the field, each chapter presents specific applications, reviews existing state-of-the-art knowledge, highlights the advances made, and provides guidance for the appropriate use of hyperspectral data in the study of vegetation as well as its numerous applications, such as crop yield modeling, crop and vegetation biophysical and biochemical property characterization, and crop moisture assessment
9781439845370
Vegetation monitoring.
Plants -- Remote sensing.
Crops -- Remote sensing.
Multispectral imaging.
581.7 / THE
Hyperspectral remote sensing of vegetation Prasad S. Thenkabail; John G. Lyon & Alfredo Huete. - 17 - Boca Raton, FL: CRC Press, 2012. - xxxv, 705 pages: illustrations (some color), maps (some color); 27 cm.
pt. 1. Introduction and overview
pt. 2. Hyperspectral sensor systems
pt. 3. Data mining, algorithms, indices
pt. 4. Leaf and plant biophysical and biochemical properties
pt. 5. Vegetation biophysical properties
pt. 6. Vegetation processes and function (ET, water use, GPP, LUE, phenology)
pt. 7. Species identification
pt. 8. Land cover applications
pt. 9. Detecting crop management, plant stress, and disease
pt. 10. Hyperspectral data in global change studies
pt. 11. Hyperspectral remote sensing of outer planets
pt. 12. Conclusions and way forward.
The book demonstrates the experience, utility, methods and models used in studying vegetation using hyperspectral data. Written by leading experts, including pioneers in the field, each chapter presents specific applications, reviews existing state-of-the-art knowledge, highlights the advances made, and provides guidance for the appropriate use of hyperspectral data in the study of vegetation as well as its numerous applications, such as crop yield modeling, crop and vegetation biophysical and biochemical property characterization, and crop moisture assessment
9781439845370
Vegetation monitoring.
Plants -- Remote sensing.
Crops -- Remote sensing.
Multispectral imaging.
581.7 / THE