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000838534 019__ $$a1033636872$$a1033789926$$a1034541319$$a1038414104$$a1039456570
000838534 020__ $$a9783319695396$$q(electronic book)
000838534 020__ $$a3319695398$$q(electronic book)
000838534 020__ $$z9783319695389
000838534 020__ $$z331969538X
000838534 0247_ $$a10.1007/978-3-319-69539-6$$2doi
000838534 035__ $$aSP(OCoLC)on1031089056
000838534 035__ $$aSP(OCoLC)1031089056$$z(OCoLC)1033636872$$z(OCoLC)1033789926$$z(OCoLC)1034541319$$z(OCoLC)1038414104$$z(OCoLC)1039456570
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000838534 050_4 $$aS594
000838534 08204 $$a631.4/32$$223
000838534 1001_ $$aWahbi, Ammar,$$eauthor.
000838534 24510 $$aCosmic ray neutron sensing :$$bestimation of agricultural crop biomass water equivalent /$$cAmmar Wahbi, Lee Heng, Gerd Dercon.
000838534 264_1 $$aCham, Switzerland :$$bSpringer,$$c2018.
000838534 300__ $$a1 online resource (x, 33 pages) :$$billustrations.
000838534 336__ $$atext$$btxt$$2rdacontent
000838534 337__ $$acomputer$$bc$$2rdamedia
000838534 338__ $$aonline resource$$bcr$$2rdacarrier
000838534 347__ $$atext file$$bPDF$$2rda
000838534 504__ $$aIncludes bibliographical references.
000838534 5050_ $$aForeword -- Summary -- 2. In-Situ Destructive Sampling -- 2.1 The Concept of Representivity -- 2.2 Plant Sampling Pattern and Design -- 2.3 Biomass Water Equivalent -- 2.4 Conclusions -- 3. Remote Sensing via Satellite Imagery Analysis -- 3.1 Photo-Reflective Properties of Plants -- 3.2 Satellite Image Analysis -- 3.3 Conclusions -- 4. Estimate of Biomass Water Equivalent via the Cosmic Ray Neutron Sensor -- 4.1 The role of Biomass in the CRNS Calibration -- 4.2 Relationship between Neutrons and Crop Biomass -- 4.3 Dire4ct Relationship between Neutrons and Biomass -- 4.4 Conclusions.
000838534 5060_ $$aOpen access.$$5GW5XE
000838534 506__ $$aAccess limited to authorized users.
000838534 520__ $$aThis book is published open access under a CC BY 3.0 IGO license. This open access book provides methods for the estimation of Biomass Water Equivalent (BEW), an essential step for improving the accuracy of area-wide soil moisture by cosmic-ray neutron sensors (CRNS). Three techniques are explained in detail: (i) traditional in-situ destructive sampling, (ii) satellite based remote sensing of plant surfaces, and (iii) biomass estimation via the use of the CRNS itself. The advantages and disadvantages of each method are discussed along with step by step instructions on proper procedures and implementation.
000838534 542__ $$aThis book is published open access under a CC BY 3.0 IGO license.
000838534 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 12, 2018).
000838534 650_0 $$aSoil moisture$$xMeasurement$$xRemote sensing.
000838534 650_0 $$aSoil moisture$$xMeasurement$$xInstruments.
000838534 650_0 $$aSoil moisture$$xMathematical models.
000838534 650_0 $$aAgricultural innovations.
000838534 650_0 $$aCosmic ray neutrons.
000838534 7001_ $$aHeng, L. K.$$q(Lee K.),$$eauthor.
000838534 7001_ $$aDercon, Gerd,$$eauthor.
000838534 77608 $$iPrint version:$$aWahbi, Ammar.$$tCosmic ray neutron sensing.$$dCham, Switzerland : Springer, 2018$$z331969538X$$z9783319695389$$w(OCoLC)1005116603
000838534 852__ $$bebk
000838534 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-69539-6$$zOnline Access$$91397441.1
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000838534 980__ $$aBIB
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000838534 983__ $$aOnline
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