The environmental and economic importance of monitoring forests and agricultural resources has allowed remote sensing to be increasingly in the development of products and services responding to user needs.
This volume presents the main applications in remote sensing for agriculture and forestry, including the primary soil properties, the estimation of the vegetation’s biophysical variables, methods for mapping land cover, the contribution of remote sensing for crop and water monitoring, and the estimation of the forest cover properties (cover dynamic, height, biomass).
This book, part of a set of six volumes, has been produced by scientists who are internationally renowned in their fields. It is addressed to students (engineers, Masters, PhD), engineers and scientists, specialists in remote sensing applied to agriculture and forestry.
Through this pedagogical work, the authors contribute to breaking down the barriers that hinder the use of radar imaging techniques.
- Provides clear and concise descriptions of modern remote sensing methods
- Explores the most current remote sensing techniques with physical aspects of the measurement (theory) and their applications
- Provides chapters on physical principles, measurement, and data processing for each technique described
- Describes optical remote sensing technology, including a description of acquisition systems and measurement corrections to be made
Research laboratories specializing in remote sensing or users of satellite products, Masters or Doctorate level students in the field of engineering, agriculture and geography
- 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
- 2: Estimation of Biophysical Variables from Satellite Observations
- 2.1 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
- 3: Land Cover Mapping from Optical Images
- 3.1 Introduction
- 3.2 The input data
- 3.3 Land cover map production approaches
- 3.4 Use examples
- 3.5 Key points
- 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 prospects
- 4.9 Key points
- 5: Contribution of Remote Sensing to Crop Mon
- No. of pages:
- © ISTE Press - Elsevier 2017
- 20th September 2016
- ISTE Press - Elsevier
- eBook ISBN:
- Hardcover ISBN:
Nicolas Baghdadi is Research Director at IRSTEA in France. He is currently the scientific director of the French Land Data Centre (Theia).
Mehrez Zribi is Research Director at CNRS in France. He is currently active at CESBIO in Toulouse where he is also responsible for the team of observation systems.