000			01992nam a22002777a 4500
999			_c29235 _d29235
003			CUTN
005			20190808130705.0
008			190808b ||||| |||| 00| 0 eng d
020			_a9781439845370
041			_aEnglish
082			_a581.7 _bTHE
100			_aThenkabail, Prasad,
245			_aHyperspectral remote sensing of vegetation _cPrasad S. Thenkabail; John G. Lyon & Alfredo Huete.
250			_a17
260			_aBoca Raton, FL: _bCRC Press, _c2012.
300			_axxxv, 705 pages: _billustrations (some color), maps (some color); _c27 cm.
505			_tpt. 1. Introduction and overview _tpt. 2. Hyperspectral sensor systems _tpt. 3. Data mining, algorithms, indices _tpt. 4. Leaf and plant biophysical and biochemical properties _tpt. 5. Vegetation biophysical properties _tpt. 6. Vegetation processes and function (ET, water use, GPP, LUE, phenology) _tpt. 7. Species identification _tpt. 8. Land cover applications _tpt. 9. Detecting crop management, plant stress, and disease _tpt. 10. Hyperspectral data in global change studies _tpt. 11. Hyperspectral remote sensing of outer planets _tpt. 12. Conclusions and way forward.
520			_aThe 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
650			_aVegetation monitoring.
650			_aPlants -- Remote sensing.
650			_aCrops -- Remote sensing.
650			_aMultispectral imaging.
700			_aLyon; John G.
700			_aHuete; Alfredo.
942			_2ddc _cBOOKS