000			05169cam a2200565Mi 4500
001			ocn959149686
003			OCoLC
005			20190328114816.0
006			m o d
007			cr cnu---unuuu
008			160924s2016 cau o 001 0 eng d
040			_aEBLCP _beng _epn _cEBLCP _dYDX _dIDEBK _dOPELS _dOCLCO _dOCLCQ _dCOO _dOCLCO _dOCLCF _dOCLCO _dQCL _dOCLCQ _dN$T _dOCLCQ _dU3W _dMERUC _dD6H _dOCLCQ
019			_a958863436 _a959426168 _a962414882 _a962902311 _a965491672
020			_a9780081011836 _q(electronic bk.)
020			_a0081011830 _q(electronic bk.)
020			_z9781785481031
020			_z1785481037
035			_a(OCoLC)959149686 _z(OCoLC)958863436 _z(OCoLC)959426168 _z(OCoLC)962414882 _z(OCoLC)962902311 _z(OCoLC)965491672
050		4	_aSD387.R4
072		7	_aGAR _x005000 _2bisacsh
072		7	_aTEC _x003000 _2bisacsh
082	0	4	_a634.90285 _223
245	0	0	_aLand surface remote sensing in agriculture and forest / _h[electronic resource] _cedited by Nicolas Baghdadi, Mehrez Zribi.
260			_aSan Diego : _bElsevier ; _aLondon : _bISTE, Ltd., _c2016.
300			_a1 online resource (498 pages).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aRemote sensing observations of continental surfaces set
505	0		_aFront Cover ; Land Surface Remote Sensing in Agriculture and Forest ; Copyright ; Contents; Foreword; Acronyms; Introduction; Chapter 1. Mapping of Primary Soil Properties Using Optical Visible and Near Infrared (Vis-NIR) Remote Sensing; 1.1. Introduction; 1.2. Spectral signatures of soils; 1.3. Estimation of soil properties from their spectral signatures; 1.4. Direct uses of estimation models; 1.5. Use of the Vis-NIR remote sensing products for digital soil mapping; 1.6. Perspectives; 1.7. Key points; 1.8. Bibliography.
505	8		_aChapter 2. Estimation of Biophysical Variables from Satellite Observations2.1. Introduction; 2.2. Definition of the canopy biophysical variables accessible from remote sensing observations ; 2.3. Inversion methods of radiative transfer models; 2.4. Theoretical performances in estimating the different variables of interest ; 2.5. How to manage the under-determined and ill-posed nature of the inverse problem? ; 2.6. Combination of methods and sensors to improve estimates; 2.7. Conclusion; 2.8. Key points; 2.9. Bibliography; Chapter 3. Land Cover Mapping from Optical Images; 3.1. Introduction.
505	8		_a3.2. The input data3.3. Land cover map production approaches; 3.4. Use examples; 3.5. Key points; 3.6. Bibliography; Chapter 4. Contribution of Remote Sensing for Crop and Water Monitoring; 4.1. Introduction; 4.2. Indicators for crop monitoring; 4.3. Indicators of agricultural practices at the territory level; 4.4. Estimating water status and the water needs of crops using models; 4.5. Agricultural production quantification; 4.6. Some cases studies of environmental impacts of agriculture: spatial modeling of water, nitrogen and CO2 fluxes ; 4.7. Precision agriculture.
505	8		_a4.8. Results and prospects4.9. Key points; 4.10. Bibliography; Chapter 5. Contribution of Remote Sensing to Crop Monitoring in Tropical Zones; 5.1. Introduction: the case of tropical crops; 5.2. Crop mapping; 5.3. Yield prediction; 5.4. Harvest monitoring; 5.5. Conclusion and outlook; 5.6. Key points; 5.7. Bibliography; Chapter 6. Monitoring of Agricultural Landscapes Using Remote Sensing Data; 6.1. Introduction; 6.2. Identifying winter land cover within the framework of intensive agriculture ; 6.3. Phenology monitoring and crop characterization from a series of radar images; 6.4. Prospects.
505	8		_a6.5. Key points6.6. Bibliography; Chapter 7. Applications of Multispectral Optical Satellite Imaging in Forestry; 7.1. Introduction; 7.2. Specific key points of the forest cover; 7.3. Examples of application; 7.4. Prospects; 7.5. Key points; 7.6. Bibliography; Chapter 8. Characterization of Forests with LiDAR Technology; 8.1. Introduction; 8.2. The LiDAR technology; 8.3. LiDAR technology in forestry: platforms and applications; 8.4. Future of LiDAR technology in forestry?; 8.5. Key points; 8.6. Bibliography; Chapter 9. Forest Biomass From Radar Remote Sensing.
500			_a9.1. Forest biomass at the global scale.
500			_aIncludes index.
588	0		_aPrint version record.
650		0	_aForests and forestry _xRemote sensing.
650		0	_aAgriculture _xRemote sensing.
650		7	_aGARDENING _xFruit. _2bisacsh
650		7	_aTECHNOLOGY & ENGINEERING _xAgriculture _xGeneral. _2bisacsh
650		7	_aAgriculture _xRemote sensing. _2fast _0(OCoLC)fst00801591
650		7	_aForests and forestry _xRemote sensing. _2fast _0(OCoLC)fst00932740
655		4	_aElectronic books.
700	1		_aBaghdadi, Nicolas.
700	1		_aZribi, Mehrez.
776	0	8	_iPrint version: _aBaghdadi, Nicolas. _tLand Surface Remote Sensing in Agriculture and Forest. _dSan Diego : Elsevier Science, �2016 _z9781785481031
830		0	_aRemote sensing observations of continental surfaces set.
856	4	0	_3ScienceDirect _uhttp://www.sciencedirect.com/science/book/9781785481031
999			_c247427 _d247427