通过两年一次的时间序列卫星图像自动检测森林变化:迈向综合土地覆盖图的制作

IF 7.5 1区 地球科学 Q1 Earth and Planetary Sciences
L. Alonso, J. Picos, J. Armesto
{"title":"通过两年一次的时间序列卫星图像自动检测森林变化:迈向综合土地覆盖图的制作","authors":"L. Alonso, J. Picos, J. Armesto","doi":"10.1016/j.jag.2023.103289","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":50341,"journal":{"name":"International Journal of Applied Earth Observation and Geoinformation","volume":"1 1","pages":"103289"},"PeriodicalIF":7.5000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic forest change detection through a bi-annual time series of satellite imagery: Toward production of an integrated land cover map\",\"authors\":\"L. Alonso, J. Picos, J. Armesto\",\"doi\":\"10.1016/j.jag.2023.103289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":50341,\"journal\":{\"name\":\"International Journal of Applied Earth Observation and Geoinformation\",\"volume\":\"1 1\",\"pages\":\"103289\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Applied Earth Observation and Geoinformation\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jag.2023.103289\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Earth and Planetary Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Earth Observation and Geoinformation","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1016/j.jag.2023.103289","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic forest change detection through a bi-annual time series of satellite imagery: Toward production of an integrated land cover map
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
10.20
自引率
8.00%
发文量
49
审稿时长
7.2 months
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信