Mapping forest ecosystem biomass density for Xiangjiang River Basin by combining plot and remote sensing data and comparing spatial extrapolation methods

认领

导出

下载 Link by DOI

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：

Zhu, Jia;Huang, Zhihong*;Sun, Hua;Wang, Guangxing*

通讯作者：

Huang, Zhihong;Wang, Guangxing

作者机构：

[Zhu, Jia; Huang, Zhihong] Natl Engn Lab Appl Technol Forestry Ecol South Ch, Changsha 410004, Peoples R China.

[Zhu, Jia; Huang, Zhihong] Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Peoples R China.

[Zhu, Jia; Wang, Guangxing; Sun, Hua] So Illinois Univ, Dept Geog & Environm Resources, Carbondale, IL 62901 USA.

[Wang, Guangxing; Sun, Hua] Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing Informat Engn, Changsha 410004, Peoples R China.

[Wang, Guangxing; Sun, Hua] Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China.

通讯机构：

[Huang, Zhihong] N

[Huang, Zhihong] C

[Wang, Guangxing] S

Natl Engn Lab Appl Technol Forestry Ecol South Ch, Changsha 410004, Peoples R China.

Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Peoples R China.

语种：

英文

关键词：

Improved kNN algorithm;Leave-one-out cross-validation;Logistic regression;Multivariate linear regression;Spatial distribution;Xiangjiang River Basin

期刊：

Remote Sensing

ISSN：

2072-4292

年：

2017

卷：

期：

页码：

241

DOI：

10.3390/rs9030241

基金类别：

project of Synergy Simulation of multi-resolution remote sensing data for city vegetation carbon mapping and uncertainty analysis - Hunan Provincial Education Department

机构署名：

本校为第一且通讯机构

院系归属：

林学院

生命科学与技术学院

摘要：

The distribution of forest biomass in a river basin usually has obvious spatial heterogeneity in relation to the locations of the upper and lower reaches of the basin. In the subtropical region of China, a large amount of forest biomass, comprising diverse forest types, plays an important role in maintaining the balance of the regional carbon cycle. However, accurately estimating forest ecosystem aboveground biomass density (AGB) and mapping its spatial variability at a scale of river basin remains a great challenge. In this study, we attempted to map the current AGB in the Xiangjiang River Ba...

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

Mapping forest ecosystem biomass density for Xiangjiang River Basin by combining plot and remote sensing data and comparing spatial extrapolation methods

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