Enabling efficient, large-scale high-spatial resolution wetland mapping using satellites-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Enabling efficient, large-scale high-spatial resolution wetland mapping using satellites

Published:2018-04 Issue: Volume:208 Page:189-201
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

McCarthy Matthew J.^ORCID,Radabaugh Kara R.,Moyer Ryan P.,Muller-Karger Frank E.

Funder

Environmental Protection Agency

US Fish and Wildlife Service

National Aeronautics and Space Administration

Polar Geospatial Center

University of South Florida

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference56 articles.

1. Mapping wetlands and riparian areas using Landsat ETM+ imagery and decision-tree-based models;Baker;Wetlands,2006

2. Valuing the storm protection service of estuarine and coastal ecosystems;Barbier;Ecosyst. Serv.,2015

3. The value of estuarine and coastal ecosystem services;Barbier;Ecol. Monogr.,2011

4. Mapping shadows in very high-resolution satellite data using HSV and edge detection techniques;Bhaskaran;Appl. Geomat.,2013

5. Recent advances in mangrove studies using remote sensing data;Blasco;Mar. Freshw. Res.,1998

Cited by 75 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. Mangrove forest health condition from space and the use of in situ data;MAR ENVIRON RES;2024

2. Mangrove forest health condition from space and the use of in situ data;Marine Environmental Research;2024-10

3. Forecasting Wetland Transformation to Dust Source by Employing CA-Markov Model and Remote Sensing: A Case Study of Shadgan International Wetland;Wetlands;2024-09-11

4. Fine-Resolution Wetland Mapping in the Yellow River Basin Using Sentinel-1/2 Data via Zoning-Based Random Forest with Remote Sensing Feature Preferences;Water;2024-08-27

5. Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method;International Journal of Digital Earth;2024-07-18

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