Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes

Published:2022-01 Issue: Volume:268 Page:112780
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Hermosilla Txomin,Wulder Michael A.,White Joanne C.,Coops Nicholas C.

Funder

Natural Resources Canada

Compute Canada

Canadian Forest Service

Canadian Space Agency

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference107 articles.

1. Improving the consistency of multitemporal land cover maps using a hidden Markov model;Abercrombie;IEEE Trans. Geosci. Remote Sens.,2016

2. A suite of global, cross-scale topographic variables for environmental and biodiversity modeling;Amatulli;Sci. Data,2018

3. Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community;Ball;J. Appl. Remote. Sens.,2017

4. Random forest in remote sensing: a review of applications and future directions;Belgiu;ISPRS J. Photogramm. Remote Sens.,2016

5. Basing sylviculture on natural ecosystem dynamics: an approach applied to the southern boreal mixedwood forest of Quebec;Bergeron;For. Ecol. Manag.,1997

Cited by 87 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. Revisiting the 2023 wildfire season in Canada;Science of Remote Sensing;2024-12

2. Nationwide remote sensing framework for forest resource assessment in war-affected Ukraine;Forest Ecology and Management;2024-10

3. Updating Forest Stand Inventories: Integration of Photo-Interpreted and Airborne Laser Scanning Forest Attributes Using Generic Region Merging Segmentation and kNN Imputation;Canadian Journal of Remote Sensing;2024-09-12

4. First wetland mapping at 10-m spatial resolution in South America using multi-source and multi-feature remote sensing data;Science China Earth Sciences;2024-09-02

5. Post-wildfire boreal forest vegetation cover change mapping via information fusion for secondary disaster risk assessments;International Journal of Applied Earth Observation and Geoinformation;2024-09

同舟云学术

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