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|2 23
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|a Land surface remote sensing in agriculture and forest /
|c edited by Nicolas Baghdadi, Mehrez Zribi.
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| 260 |
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|a San Diego :
|b Elsevier ;
|a London :
|b ISTE, Ltd.,
|c 2016.
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| 300 |
|
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|a 1 online resource (498 pages)
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| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Remote sensing observations of continental surfaces set
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| 505 |
0 |
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|a 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.
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| 505 |
8 |
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|a 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.
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| 505 |
8 |
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|a 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.
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| 505 |
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|a 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.
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| 505 |
8 |
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|a 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.
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| 500 |
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|a 9.1. Forest biomass at the global scale.
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| 500 |
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|a Includes index.
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| 588 |
0 |
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|a Print version record.
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| 650 |
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0 |
|a Forests and forestry
|x Remote sensing.
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| 650 |
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0 |
|a Agriculture
|x Remote sensing.
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| 650 |
|
6 |
|a Agriculture
|0 (CaQQLa)201-0062624
|x T�el�ed�etection.
|0 (CaQQLa)201-0380277
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| 650 |
|
7 |
|a GARDENING
|x Fruit.
|2 bisacsh
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| 650 |
|
7 |
|a TECHNOLOGY & ENGINEERING
|x Agriculture
|x General.
|2 bisacsh
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| 650 |
|
7 |
|a Agriculture
|x Remote sensing
|2 fast
|0 (OCoLC)fst00801591
|
| 650 |
|
7 |
|a Forests and forestry
|x Remote sensing
|2 fast
|0 (OCoLC)fst00932740
|
| 700 |
1 |
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|a Baghdadi, Nicolas.
|
| 700 |
1 |
|
|a Zribi, Mehrez.
|
| 776 |
0 |
8 |
|i Print version:
|a Baghdadi, Nicolas.
|t Land Surface Remote Sensing in Agriculture and Forest.
|d San Diego : Elsevier Science, �2016
|z 9781785481031
|
| 830 |
|
0 |
|a Remote sensing observations of continental surfaces set.
|
| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9781785481031
|z Texto completo
|
