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Record Nr. |
UNINA9910293140603321 |
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Autore |
Wahbi Ammar |
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Titolo |
Cosmic Ray Neutron Sensing: Estimation of Agricultural Crop Biomass Water Equivalent [[electronic resource] /] / by Ammar Wahbi, Lee Heng, Gerd Dercon |
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Pubbl/distr/stampa |
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Springer Nature, 2018 |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (X, 33 p. 18 illus., 14 illus. in color.) |
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Disciplina |
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Soggetti |
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Agriculture |
Hydrology |
Environmental sciences |
Hydrology/Water Resources |
Environmental Science and Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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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Sommario/riassunto |
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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 |
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