A fusion approach to forest disturbance mapping using time series ensemble techniques
Author:
Funder
Cooperative Research Centre for Spatial Information
Publisher
Elsevier BV
Subject
Computers in Earth Sciences,Geology,Soil Science
Reference42 articles.
1. Random Forests;Breiman,2001
2. Landsat's role in ecological applications of remote sensing;Cohen;Bioscience,2004
3. How similar are forest disturbance maps derived from different Landsat time series algorithms?;Cohen;Forests,2017
4. A LandTrendr multispectral ensemble for forest disturbance detection;Cohen;Remote Sens. Environ.,2017
5. A physically-based transformation of thematic mapper data-the TM tasseled cap;Crist;IEEE Trans. Geosci. Remote Sens.,1984
Cited by 57 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 global drought-induced forest mortality based on multiple satellite vegetation optical depth data;Remote Sensing of Environment;2024-12
2. Mapping the recovery of Mountain Ash (Eucalyptus regnans) and Alpine Ash (E. delegatensis) using satellite remote sensing and a machine learning classifier;Remote Sensing Applications: Society and Environment;2024-11
3. High-dimensional detection of Landscape Dynamics: a Landsat time series-based algorithm for forest disturbance mapping and beyond;GIScience & Remote Sensing;2024-06-12
4. Evaluating deep learning methods applied to Landsat time series subsequences to detect and classify boreal forest disturbances events: The challenge of partial and progressive disturbances;Remote Sensing of Environment;2024-05
5. Forest disturbance characterization in the era of earth observation big data: A mapping review;International Journal of Applied Earth Observation and Geoinformation;2024-04
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