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Cosmic ray neutron sensing = estimat...
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Wahbi, Ammar.
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Cosmic ray neutron sensing = estimation of agricultural crop biomass water equivalent /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Cosmic ray neutron sensing/ by Ammar Wahbi, Lee Heng, Gerd Dercon.
其他題名:
estimation of agricultural crop biomass water equivalent /
作者:
Wahbi, Ammar.
其他作者:
Heng, Lee.
出版者:
Cham :Springer International Publishing : : 2018.,
面頁冊數:
x, 33 p. :ill. (some col.), digital ;24 cm.
內容註:
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.
Contained By:
Springer eBooks
標題:
Soil moisture - Measurement -
電子資源:
http://dx.doi.org/10.1007/978-3-319-69539-6
ISBN:
9783319695396
Cosmic ray neutron sensing = estimation of agricultural crop biomass water equivalent /
Wahbi, Ammar.
Cosmic ray neutron sensing
estimation 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
Standard No.: 10.1007/978-3-319-69539-6doiSubjects--Topical Terms:
3307763
Soil moisture
--Measurement
LC Class. No.: S594 / .W343 2018
Dewey Class. No.: 631.432
Cosmic ray neutron sensing = estimation of agricultural crop biomass water equivalent /
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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.
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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 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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