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Cosmic Ray Neutron Sensing: Estimation of Agricultural Crop Biomass Water Equivalent
Cosmic Ray Neutron Sensing: Estimation of Agricultural Crop Biomass Water Equivalent
Author(s): Ammar Wahbi, Lee Heng, Gerd Dercon
Open Access: BY-NC-ND 4.0
Publication Date  Available in all formats
Publisher: Springer Nature
ISBN: 9783319695396
Pages: 33
https://doi.org/10.1007/978-3-319-69539-6

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ISBN: 9783319695396

Description

Table of contents

Keyword(s): Earth Science, Soil Management, Water Management, Crop Nutrition, Nuclear, CRNS, Biomass Water Equivalent, Remote Sensing, Satellite Imagery
This open access book provides methods for the estimation of Biomass Water Equivalent (BEW), an essential step for improving the accuracy of area-wide soil moisture by cosmic-ray neutron sensors (CRNS). Three techniques are explained in detail: (i) traditional in-situ destructive sampling, (ii) satellite based remote sensing of plant surfaces, and (iii) biomass estimation via the use of the CRNS itself. The advantages and disadvantages of each method are discussed along with step by step instructions on proper procedures and implementation.
Description
Subject(s): Earth Science, Soil Management, Water Management, Crop Nutrition, Nuclear, CRNS, Biomass Water Equivalent, Remote Sensing, Satellite Imagery
This open access book provides methods for the estimation of Biomass Water Equivalent (BEW), an essential step for improving the accuracy of area-wide soil moisture by cosmic-ray neutron sensors (CRNS). Three techniques are explained in detail: (i) traditional in-situ destructive sampling, (ii) satellite based remote sensing of plant surfaces, and (iii) biomass estimation via the use of the CRNS itself. The advantages and disadvantages of each method are discussed along with step by step instructions on proper procedures and implementation.
Table of contents
  • Cover
  • Front Matter
  • 1. Introduction
  • 2. In Situ Destructive Sampling
  • 3. Remote Sensing via Satellite Imagery Analysis
  • 4. Estimation of Biomass Water Equivalent via the Cosmic Ray Neutron Sensor
  • Back Matter

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