Spatial-temporal changes and driving factors of ecoenvironmental quality in the Three-North region of China

认领

导出

Link by 中国知网学术期刊 Link by 万方学术期刊

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Long, Yi;Jiang, Fugen;Deng, Muli;Wang, Tianhong;Sun, Hua

通讯作者：

Hua Sun

作者机构：

[Long, Yi; Deng, Muli; Jiang, Fugen; Wang, Tianhong; Sun, Hua] Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China.

[Long, Yi; Deng, Muli; Jiang, Fugen; Wang, Tianhong; Sun, Hua] Key Lab Forestry Remote Sensing Based Big Data & E, Changsha 410004, Peoples R China.

[Long, Yi; Deng, Muli; Jiang, Fugen; Wang, Tianhong; Sun, Hua] Grassland Adm Forest Resources Management & Monito, Key Lab Natl Forestry, Changsha 410004, Peoples R China.

通讯机构：

[Hua Sun] R

Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha, China<&wdkj&>Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha, China<&wdkj&>Key Laboratory of National Forestry & Grassland Administration on Forest Resources Management and Monitoring in Southern Area, Changsha, China

语种：

英文

关键词：

eco-environmental quality;remote sensing ecological index;Google Earth Engine;Hurst exponent;geographical detector;Three-North region of China

期刊：

干旱区科学

ISSN：

1674-6767

年：

2023

卷：

期：

页码：

231-252

DOI：

10.1007/s40333-023-0053-0

基金类别：

supported by the National Natural Science Foundation of China （31971578）； the Scientific Research Fund of Changsha Science and Technology Bureau （kq2004095）； the National Bureau to Combat Desertification, State Forestry Administration of China （101-9899）； the Training Fund of Young Professors from Hunan Provincial Education Department （90102-7070220090001）； the Postgraduate Scientific Research Innovation Project of Hunan Province （CX20220707）；

机构署名：

本校为第一机构

院系归属：

林学院

摘要：

Eco-environmental quality is a measure of the suitability of the ecological environment for human survival and socioeconomic development. Understanding the spatial-temporal distribution and variation trend of eco-environmental quality is essential for environmental protection and ecological balance. The remote sensing ecological index (RSEI) can quickly and objectively quantify eco-environmental quality and has been extensively utilized in regional ecological environment assessment. In this paper, Moderate Resolution Imaging Spectroradiometer (MODIS) images during the growing period (July-Sept...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

Spatial-temporal changes and driving factors of ecoenvironmental quality in the Three-North region of China

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问