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A comparative study of remote sensing classification methods for monitoring and assessing desert vegetation using a UAV-based multispectral sensor.

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第一作者： Z M,Al-Ali

第一单位： Natural Environmental Systems and Technologies (NEST) Research Group, Ecolife Sciences Research and Consultation, Hawally, Kuwait. zahraamma84@gmail.com.

作者： Z M,Al-Ali ^[1] ; M M,Abdullah ^[2] ; N B,Asadalla ^[3] ; M,Gholoum ^[4]

作者单位： Natural Environmental Systems and Technologies (NEST) Research Group, Ecolife Sciences Research and Consultation, Hawally, Kuwait. zahraamma84@gmail.com. ^[1] Natural Environmental Systems and Technologies (NEST) Research Group, Ecolife Sciences Research and Consultation, Hawally, Kuwait.;Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, 77843, USA. ^[2] Natural Environmental Systems and Technologies (NEST) Research Group, Ecolife Sciences Research and Consultation, Hawally, Kuwait.;Public Authority of Agriculture Affairs and Fish Resources (PAAF), Al Rabya, Kuwait. ^[3] Department of Science, College of Basic Education, The Public Authority of Applied Education and Training, Adailiya, Kuwait. ^[4]

关键词 Classification methods Desert ecosystems Multispectral imagery Spectral vegetation indices UAVs

医学主题词环境(Environment);环境监测(Environmental Monitoring);科威特(Kuwait);遥感技术(Remote Sensing Technology)

DOI 10.1007/s10661-020-08330-1

PMID 32447581

发布时间 2020-06-04

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准确一般字义偏差语意偏离译文作用小提交