LEADER 03815 am 22007213u 450 001 9910293140603321 005 20230125185327.0 010 $a3-319-69539-8 024 7 $a10.1007/978-3-319-69539-6 035 $a(CKB)4100000003359206 035 $a(DE-He213)978-3-319-69539-6 035 $a(MiAaPQ)EBC5576616 035 $a(Au-PeEL)EBL5576616 035 $a(OCoLC)1066181330 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/44149 035 $a(PPN)226698351 035 $a(EXLCZ)994100000003359206 100 $a20180405d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCosmic Ray Neutron Sensing: Estimation of Agricultural Crop Biomass Water Equivalent$b[electronic resource] /$fby Ammar Wahbi, Lee Heng, Gerd Dercon 205 $a1st ed. 2018. 210 $cSpringer Nature$d2018 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (X, 33 p. 18 illus., 14 illus. in color.) 311 $a3-319-69538-X 327 $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. 330 $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). 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