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Cosmic ray neutron sensingestimation...

Dercon, Gerd.

Cosmic ray neutron sensingestimation of agricultural crop biomass water equivalent /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cosmic ray neutron sensingby Ammar Wahbi, Lee Heng, Gerd Dercon.
Reminder of title:	estimation of agricultural crop biomass water equivalent /
Author:	Wahbi, Ammar.
other author:	Heng, Lee.
Published:	Cham :Springer International Publishing :2018.
Description:	x, 33 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Soil moistureMeasurement
Online resource:	http://dx.doi.org/10.1007/978-3-319-69539-6
ISBN:	9783319695396$q(electronic bk.)

Cosmic ray neutron sensingestimation of agricultural crop biomass water equivalent /
Wahbi, Ammar.

Cosmic ray neutron sensingestimation of agricultural crop biomass water equivalent /[electronic resource] :by Ammar Wahbi, Lee Heng, Gerd Dercon. - Cham :Springer International Publishing :2018. - x, 33 p. :ill. (some col.), digital ;24 cm.

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.

Open access.

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.

ISBN: 9783319695396$q(electronic bk.)

Standard No.: 10.1007/978-3-319-69539-6doiSubjects--Topical Terms:

808939
Soil moisture
--Measurement

LC Class. No.: S594 / .W343 2018

Dewey Class. No.: 631.432

Cosmic ray neutron sensingestimation of agricultural crop biomass water equivalent /
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245 1 0 $a Cosmic ray neutron sensing $h [electronic resource] : $b estimation of agricultural crop biomass water equivalent / $c by Ammar Wahbi, Lee Heng, Gerd Dercon.
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300 $a x, 33 p. : $b ill. (some col.), digital ; $c 24 cm.
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 $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.
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650 0 $a Cosmic ray neutrons. $3 486337
650 1 4 $a Life Sciences. $3 273679
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650 2 4 $a Hydrology/Water Resources. $3 675922
650 2 4 $a Environmental Science and Engineering. $3 561067
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