Improvement of mapping vegetation cover for arid and semiarid areas using a local nonlinear modelling method and landsat images

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成果类型：

期刊论文

作者：

Sun, H.;Wang, Q.;Wang, G. X.*;Luo, P.;Jiang, F. G.

通讯作者：

Wang, G. X.

作者机构：

[Sun, H.; Jiang, F. G.] Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Hunan, Peoples R China.

[Sun, H.; Jiang, F. G.] Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Hunan, Peoples R China.

[Sun, H.; Jiang, F. G.] Key Lab Natl Forestry & Grassland Adm Forest Reso, Changsha 410004, Peoples R China.

[Wang, G. X.; Wang, Q.] Southern Illinois Univ, Dept Geog & Environm Resources, Carbondale, IL 62901 USA.

[Luo, P.] Chinese Acad Forestry, Res Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China.

通讯机构：

[Wang, G. X.] S

Southern Illinois Univ, Dept Geog & Environm Resources, Carbondale, IL 62901 USA.

语种：

英文

关键词：

accurate estimation, desertification, geographically weighted logistic regression, Kangbao County, land degradation, northern China, remote sensing, spatial variability, vegetation cover.

期刊：

Rangeland Journal

ISSN：

1036-9872

年：

2020

卷：

期：

页码：

161-169

DOI：

10.1071/RJ19081

基金类别：

National Bureau to Combat Desertification, State Forestry Administration of China [101-9899]; Training Fund of Young Professors from Hunan Provincial Education Department [70702-20190001]; Scientific Innovation Fund for Post-graduates of Central South University of Forestry and Technology [CX20192025]; Scientific Innovation Fund for Post-graduates of Hunan Province [CX20190622]

机构署名：

本校为第一机构

院系归属：

林学院

摘要：

Accurately estimating and mapping vegetation cover for monitoring land degradation and desertification of arid and semiarid areas using remotely sensed images is promising but challenging in remote, sparsely vegetated and large areas. In this study, a novel method – geographically weighted logistic regression (GWLR – integrating geographically weighted regression (GWR) and a logistic model) was proposed to improve vegetation cover mapping of Kangbao County, Hebei of China using Landsat 8 image and field data. Additionally, a new method to de...

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Improvement of mapping vegetation cover for arid and semiarid areas using a local nonlinear modelling method and landsat images

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