國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Cosmic ray neutron sensingestimation...

Dercon, Gerd.

Cosmic ray neutron sensingestimation 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 sensingby 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.
Contained By:	Springer eBooks
標題:	Soil moistureMeasurement
電子資源:	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 /
LDR:02239nmm a2200325 a 4500 001 533312
003 DE-He213
005 20180831115414.0
006 m d
007 cr nn 008maaau
008 181205s2018 gw s 0 eng d
020 $a 9783319695396$q(electronic bk.)
020 $a 9783319695389$q(paper)
024 7 $a 10.1007/978-3-319-69539-6 $2 doi
035 $a 978-3-319-69539-6
040 $a GP $c GP
041 0 $a eng
050 4 $a S594 $b .W343 2018
072 7 $a TVB $2 bicssc
072 7 $a TEC003000 $2 bisacsh
082 0 4 $a 631.432 $2 23
090 $a S594 $b .W136 2018
100 1 $a Wahbi, Ammar. $3 808936
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.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
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.
650 0 $a Soil moisture $x Measurement $x Remote sensing. $3 808939
650 0 $a Soil moisture $x Measurement $x Instruments. $3 808940
650 0 $a Soil moisture $x Mathematical models. $3 219610
650 0 $a Agricultural innovations. $3 575627
650 0 $a Cosmic ray neutrons. $3 486337
650 1 4 $a Life Sciences. $3 273679
650 2 4 $a Agriculture. $3 274257
650 2 4 $a Hydrology/Water Resources. $3 675922
650 2 4 $a Environmental Science and Engineering. $3 561067
700 1 $a Heng, Lee. $3 808937
700 1 $a Dercon, Gerd. $3 808938
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-69539-6
950 $a Biomedical and Life Sciences (Springer-11642)