05169cam a2200565Mi 4500001001300000003000600013005001700019006001900036007001500055008004100070040013300111019005800244020003600302020003300338020001800371020001500389035011100404050001300515072002500528072002500553082001800578245012700596260005800723300003500781336002600816337002600842338003600868490006000904505053100964505060201495505057902097505060302676505057103279500004503850500002003895588002603915650004203941650003303983650003104016650006104047650005904108650006804167655002204235700002304257700001904280776014904299830006104448856007504509999001904584ocn959149686OCoLC20190328114816.0m     o  d        cr cnu---unuuu160924s2016    cau     o     001 0 eng d  aEBLCPbengepncEBLCPdYDXdIDEBKdOPELSdOCLCOdOCLCQdCOOdOCLCOdOCLCFdOCLCOdQCLdOCLCQdN$TdOCLCQdU3WdMERUCdD6HdOCLCQ  a958863436a959426168a962414882a962902311a965491672  a9780081011836q(electronic bk.)  a0081011830q(electronic bk.)  z9781785481031  z1785481037  a(OCoLC)959149686z(OCoLC)958863436z(OCoLC)959426168z(OCoLC)962414882z(OCoLC)962902311z(OCoLC)965491672 4aSD387.R4 7aGARx0050002bisacsh 7aTECx0030002bisacsh04a634.9028522300aLand surface remote sensing in agriculture and forest / h[electronic resource]cedited by Nicolas Baghdadi, Mehrez Zribi.  aSan Diego :bElsevier ;aLondon :bISTE, Ltd.,c2016.  a1 online resource (498 pages).  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier1 aRemote sensing observations of continental surfaces set0 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.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.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.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.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.  a9.1. Forest biomass at the global scale.  aIncludes index.0 aPrint version record. 0aForests and forestryxRemote sensing. 0aAgriculturexRemote sensing. 7aGARDENINGxFruit.2bisacsh 7aTECHNOLOGY & ENGINEERINGxAgriculturexGeneral.2bisacsh 7aAgriculturexRemote sensing.2fast0(OCoLC)fst00801591 7aForests and forestryxRemote sensing.2fast0(OCoLC)fst00932740 4aElectronic books.1 aBaghdadi, Nicolas.1 aZribi, Mehrez.08iPrint version:aBaghdadi, Nicolas.tLand Surface Remote Sensing in Agriculture and Forest.dSan Diego : Elsevier Science, �2016z9781785481031 0aRemote sensing observations of continental surfaces set.403ScienceDirectuhttp://www.sciencedirect.com/science/book/9781785481031  c247427d247427