05169cam a2200565Mi 4500 ocn959149686 OCoLC 20190328114816.0 m o d cr cnu---unuuu 160924s2016 cau o 001 0 eng d EBLCP eng pn EBLCP YDX IDEBK OPELS OCLCO OCLCQ COO OCLCO OCLCF OCLCO QCL OCLCQ N$T OCLCQ U3W MERUC D6H OCLCQ 958863436 959426168 962414882 962902311 965491672 9780081011836 (electronic bk.) 0081011830 (electronic bk.) 9781785481031 1785481037 (OCoLC)959149686 (OCoLC)958863436 (OCoLC)959426168 (OCoLC)962414882 (OCoLC)962902311 (OCoLC)965491672 SD387.R4 GAR 005000 bisacsh TEC 003000 bisacsh 634.90285 23 Land surface remote sensing in agriculture and forest / [electronic resource] edited by Nicolas Baghdadi, Mehrez Zribi. San Diego : Elsevier ; London : ISTE, Ltd., 2016. 1 online resource (498 pages). text txt rdacontent computer c rdamedia online resource cr rdacarrier Remote sensing observations of continental surfaces set Front 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. Chapter 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. 3.2. 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. 4.8. 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. 6.5. 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. 9.1. Forest biomass at the global scale. Includes index. Print version record. Forests and forestry Remote sensing. Agriculture Remote sensing. GARDENING Fruit. bisacsh TECHNOLOGY & ENGINEERING Agriculture General. bisacsh Agriculture Remote sensing. fast (OCoLC)fst00801591 Forests and forestry Remote sensing. fast (OCoLC)fst00932740 Electronic books. Baghdadi, Nicolas. Zribi, Mehrez. Print version: Baghdadi, Nicolas. Land Surface Remote Sensing in Agriculture and Forest. San Diego : Elsevier Science, �2016 9781785481031 Remote sensing observations of continental surfaces set. ScienceDirect http://www.sciencedirect.com/science/book/9781785481031 247427 247427