版权说明 操作指南
首页 > 成果 > 详情

Historical Dynamic Mapping of Eucalyptus Plantations in Guangxi during 1990-2019 Based on Sliding-Time-Window Change Detection Using Dense Landsat Time-Series Data

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Li, Yiman;Liu, Xiangnan;Liu, Meiling;Wu, Ling;Zhu, Lihong;...
通讯作者:
Liu, XN
作者机构:
[Wu, Ling; Liu, Xiangnan; Li, Yiman; Liu, Meiling; Xue, Xiaojing] China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China.
[Zhu, Lihong] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Peoples R China.
[Huang, Zhi] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.
[Tian, Lingwen] Chengdu Univ technol, Coll Earth Sci, Chengdu 610059, Peoples R China.
通讯机构:
[Liu, XN ] C
China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China.
语种:
英文
关键词:
eucalyptus plantation;sliding time window;LandTrendr;Google Earth Engine (GEE);historical dynamic
期刊:
Remote Sensing
ISSN:
2072-4292
年:
2024
卷:
16
期:
5
基金类别:
National Natural Science Foundation of China
机构署名:
本校为其他机构
摘要:
Eucalyptus plantations are expanding rapidly in southern China owing to their short rotation periods and high wood yields. Determining the plantation dynamics of eucalyptus plantations facilitates accurate operational planning, maximizes benefits, and allows the scientific management and sustainable development of eucalyptus plantations. This study proposes a sliding-time-window change detection (STWCD) approach for the holistic characterization and analysis of eucalyptus plantation dynamics between 1990 and 2019 through dense Landsat time-series data. To achieve this, pre-processing was first...

反馈

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

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com