Download Land Surface Remote Sensing in Agriculture and Forest by Nicolas Baghdadi, Mehrez Zribi PDF

By Nicolas Baghdadi, Mehrez Zribi

The environmental and monetary value of tracking forests and agricultural assets has allowed distant sensing to be more and more within the improvement of goods and prone responding to person wishes. This quantity provides the most functions in distant sensing for agriculture and forestry, together with the first soil houses, the estimation of the vegetation’s biophysical variables, tools for mapping land hide, the contribution of distant sensing for crop and water tracking, and the estimation of the woodland disguise homes (cover dynamic, peak, biomass). This booklet, a part of a suite of six volumes, has been produced through scientists who're the world over well known of their fields. it's addressed to scholars (engineers, Masters, PhD), engineers and scientists, experts in distant sensing utilized to agriculture and forestry. via this pedagogical paintings, the authors give a contribution to breaking down the obstacles that prevent using radar imaging techniques.

  • Provides transparent and concise descriptions of recent distant sensing methods
  • Explores the most up-tp-date distant sensing strategies with actual facets of the size (theory) and their applications
  • Provides chapters on actual ideas, size, and information processing for every approach described
  • Describes optical distant sensing expertise, together with an outline of acquisition platforms and size corrections to be made

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Additional resources for Land Surface Remote Sensing in Agriculture and Forest

Sample text

The first Mapping of Primary Soil Properties Using Optical (Vis-NIR) Remote Sensing 15 quantitative estimations of primary soil properties by remote sensing data date from the early 2000s [BEN 02]. 1). 3). 1. 1. Example of primary soil properties mapping using multispectral Vis-NIR imaging Two examples were chosen to describe primary soil properties mapping using multi-spectral imaging data. The first example is the work of Nanni and Demattè [NAN 06] showing the potential of the Landsat TM satellite for collecting data for the mapping of 10 primary soil properties over an area of 184 ha in a cultivated area (sugarcane plantation in Brazil).

1); – the spectrotransfer functions associated to successful calibration were applied to the study area allowing a detailed analysis of benefits and limits of estimated primary soil properties maps. A sampling of 129 surface soils, each representing a 10 × 10 m square, was achieved on the study area. This sampling was stratified according to the soil groups of the study area, taking into consideration the accessibility and bare soil coverage at the time of airborne data collection. 2) calibrated from the 129 soil samples [Xcal, Ycal].

The following chapter discusses the use of remote sensing in the development of indicators and models of crop management. ). The assimilation of remote sensing products and data in operating crop models is also presented. The second part of the book covers uses related to understanding and monitoring of the dynamics of vegetation. The first chapter discusses the monitoring of crops in tropical areas by radar and optical remote sensing. A second chapter presents the monitoring of the agricultural landscape by radar remote sensing.

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