首页|期刊导航|Journal of Arid Land|Feature extraction and analysis of reclaimed vegetation in ecological restoration area of abandoned mines based on hyperspectral remote sensing images

Feature extraction and analysis of reclaimed vegetation in ecological restoration area of abandoned mines based on hyperspectral remote sensing images

MAO Zhengjun WANG Munan CHU Jiwei SUN Jiewen LIANG Wei YU Haiyong

Journal of Arid Land2024，Vol.16Issue(10)：P.1409-1425,17.

Journal of Arid Land2024，Vol.16Issue(10)：P.1409-1425,17.DOI:10.1007/s40333-024-0109-9

Feature extraction and analysis of reclaimed vegetation in ecological restoration area of abandoned mines based on hyperspectral remote sensing images

MAO Zhengjun ¹WANG Munan ¹CHU Jiwei ¹SUN Jiewen ²LIANG Wei ²YU Haiyong¹

作者信息

1. College of Geology and Environment,Xi''an University of Science and Technology,Xi''an 710054,China
2. Ningxia Hui Autonomous Region Remote Sensing Survey Institute,Yinchuan 750021,China
折叠

摘要

关键词

hyperspectral remote sensing/abandoned mine/ecological restoration/vegetation growth status/vegetation index/vegetation coverage

分类

天文与地球科学

引用本文复制引用

MAO Zhengjun,WANG Munan,CHU Jiwei,SUN Jiewen,LIANG Wei,YU Haiyong..Feature extraction and analysis of reclaimed vegetation in ecological restoration area of abandoned mines based on hyperspectral remote sensing images[J].Journal of Arid Land,2024,16(10):P.1409-1425,17.

基金项目

This research was supported by the Ningxia Hui Autonomous Region Key Research and Development Plan(2022BEG03052). （2022BEG03052）

Journal of Arid Land

OACSTPCD

ISSN：1674-6767

访问量0

下载量0

段落导航