國立高雄大學圖資館 |

Language: English

Back

Spatial modeling in forest resources...

Shit, Pravat Kumar.

Spatial modeling in forest resources managementrural livelihood and sustainable development /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Spatial modeling in forest resources managementedited by Pravat Kumar Shit ... [et al.].
Reminder of title:	rural livelihood and sustainable development /
other author:	Shit, Pravat Kumar.
Published:	Cham :Springer International Publishing :2021.
Description:	xix, 675 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Forest managementRemote sensing.
Online resource:	https://doi.org/10.1007/978-3-030-56542-8
ISBN:	9783030565428$q(electronic bk.)

Spatial modeling in forest resources managementrural livelihood and sustainable development /
Spatial modeling in forest resources managementrural livelihood and sustainable development /[electronic resource] :edited by Pravat Kumar Shit ... [et al.]. - Cham :Springer International Publishing :2021. - xix, 675 p. :ill., digital ;24 cm. - Environmental science and engineering,1863-5520. - Environmental science and engineering..

Forest Resources Measurement, Monitoring and Mapping -- Application of RS-GIS-R for forest resources assessment, monitoring, and modeling -- Assessment and measurement of forest resources for sustainable land use planning -- Species diversity mapping and modeling -- Afforestation -- Soil-Water-Vegetation Relationship -- Modeling, Risk Assessment, and Vulnerability -- Forest biomass and carbon stock modeling -- Remote sensing based deforestation analysis -- Forest and habitats suitability analysis -- Habitats and species modeling -- Google Earth Engine and its application in forest sciences -- Rural livelihood and Sustainable Management -- The role of timber and non-timber forest products in poverty reduction -- The role of communities in sustainable land and forest management -- Politics of co-optation: community forest management versus joint forest management -- Open source satellite data and GIS for forest resources mapping and monitoring -- Recent trends in forest resources management and land use planning.

This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources. Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner. By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.

ISBN: 9783030565428$q(electronic bk.)

Standard No.: 10.1007/978-3-030-56542-8doiSubjects--Topical Terms:

774078
Forest management
--Remote sensing.

LC Class. No.: SD431 / .S63 2021

Dewey Class. No.: 634.92

Spatial modeling in forest resources managementrural livelihood and sustainable development /
LDR:03167nmm a2200337 a 4500 001 595410
003 DE-He213
005 20201008184250.0
006 m d
007 cr nn 008maaau
008 211005s2021 sz s 0 eng d
020 $a 9783030565428$q(electronic bk.)
020 $a 9783030565411$q(paper)
024 7 $a 10.1007/978-3-030-56542-8 $2 doi
035 $a 978-3-030-56542-8
040 $a GP $c GP
041 0 $a eng
050 4 $a SD431 $b .S63 2021
072 7 $a TQ $2 bicssc
072 7 $a SCI026000 $2 bisacsh
072 7 $a TQ $2 thema
082 0 4 $a 634.92 $2 23
090 $a SD431 $b .S738 2021
245 0 0 $a Spatial modeling in forest resources management $h [electronic resource] : $b rural livelihood and sustainable development / $c edited by Pravat Kumar Shit ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xix, 675 p. : $b ill., digital ; $c 24 cm.
490 1 $a Environmental science and engineering, $x 1863-5520
505 0 $a Forest Resources Measurement, Monitoring and Mapping -- Application of RS-GIS-R for forest resources assessment, monitoring, and modeling -- Assessment and measurement of forest resources for sustainable land use planning -- Species diversity mapping and modeling -- Afforestation -- Soil-Water-Vegetation Relationship -- Modeling, Risk Assessment, and Vulnerability -- Forest biomass and carbon stock modeling -- Remote sensing based deforestation analysis -- Forest and habitats suitability analysis -- Habitats and species modeling -- Google Earth Engine and its application in forest sciences -- Rural livelihood and Sustainable Management -- The role of timber and non-timber forest products in poverty reduction -- The role of communities in sustainable land and forest management -- Politics of co-optation: community forest management versus joint forest management -- Open source satellite data and GIS for forest resources mapping and monitoring -- Recent trends in forest resources management and land use planning.
520 $a This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources. Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner. By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.
650 0 $a Forest management $x Remote sensing. $3 774078
650 0 $a Forest management $x Statistical methods. $3 861044
650 0 $a Spatial analysis (Statistics) $3 185012
650 1 4 $a Environmental Science and Engineering. $3 561067
700 1 $a Shit, Pravat Kumar. $3 837483
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Environmental science and engineering. $3 557646
856 4 0 $u https://doi.org/10.1007/978-3-030-56542-8
950 $a Earth and Environmental Science (SpringerNature-11646)