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Cosmic Ray Neutron Sensing: Estimation of Agricultural Crop Biomass Water Equivalent

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This book is published open access under a CC BY 3.0 IGO license. 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...

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Bibliographic Details
Main Authors: Wahbi, Ammar (Author), Heng, Lee (Author), Dercon, Gerd (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Subjects:
Agriculture.
Water.
Hydrology.
Environment.
Environmental Sciences.
Online Access:Link to Metadata
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MARC

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245 1 0 |a Cosmic Ray Neutron Sensing: Estimation of Agricultural Crop Biomass Water Equivalent  |h [electronic resource] /  |c by Ammar Wahbi, Lee Heng, Gerd Dercon. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a X, 33 p. 26 illus., 22 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Foreword -- Summary -- 2. In-Situ Destructive Sampling -- 2.1 The Concept of Representivity -- 2.2 Plant Sampling Pattern and Design -- 2.3 Biomass Water Equivalent -- 2.4 Conclusions -- 3. Remote Sensing via Satellite Imagery Analysis -- 3.1 Photo-Reflective Properties of Plants -- 3.2 Satellite Image Analysis -- 3.3 Conclusions -- 4. Estimate of Biomass Water Equivalent via the Cosmic Ray Neutron Sensor -- 4.1 The role of Biomass in the CRNS Calibration -- 4.2 Relationship between Neutrons and Crop Biomass -- 4.3 Dire4ct Relationship between Neutrons and Biomass -- 4.4 Conclusions. 
506 0 |a Open Access 
520 |a This book is published open access under a CC BY 3.0 IGO license. 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. . 
650 0 |a Agriculture. 
650 0 |a Water. 
650 0 |a Hydrology. 
650 0 |a Environment. 
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650 2 4 |a Water. 
650 2 4 |a Environmental Sciences. 
700 1 |a Heng, Lee.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Dercon, Gerd.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319695389 
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950 |a Biomedical and Life Sciences (SpringerNature-11642) 
950 |a Biomedical and Life Sciences (R0) (SpringerNature-43708) 

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