Forest tree species discrimination in western Himalaya using EO-1 Hyperion
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change
Reference49 articles.
1. Hyperspectral remote sensing of canopy chemistry, physiology and biodiversity in tropical rain forests;Asner,2008
2. Spectral unmixing of vegetation, soil and drycarbon cover in arid regions: comparing multispectral and hyper-spectral observations;Asner;International Journal of Remote Sensing,2002
3. A Revised Survey of the Forest Types of India;Champion,1968
4. Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery;Chan;Remote Sensing of Environment,2008
5. Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales;Clark;Remote Sensing of Environment,2005
Cited by 55 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Mapping invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model;GIScience & Remote Sensing;2024-03-13
2. Multi-Temporal Sentinel-1 and Sentinel-2 Data for Orchards Discrimination in Khairpur District, Pakistan Using Spectral Separability Analysis and Machine Learning Classification;Remote Sensing;2024-02-15
3. Spectral classification of AVIRIS NG hyperspectral data for discriminating coastal foredunes based on vegetation species: a case study from Cuddalore district of Tamil Nadu, South India;Environmental Earth Sciences;2024-01
4. Machine learning based forest species susceptibility mapping using Sentinel 2A data and GIS: A case study of Ait Bouzid forest (Central High Atlas, Morocco);Bulletin of Geography. Physical Geography Series;2023-12-30
5. Comparative performance of machine learning algorithms for Forest Cover classification using ASI - PRISMA hyperspectral data;2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor);2023-11-06
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3