{"title":"通过遥感技术绘制与实地无关的人工林碳地图并进行量化","authors":"Saverio Francini, Elia Vangi, Giovanni D’Amico, Costanza Borghi, Guido Cencini, Cecilia Monari, Catherine Zolli, Gherardo Chirici","doi":"10.1080/22797254.2024.2334717","DOIUrl":null,"url":null,"abstract":"Quantifying the carbon-stocking contribution of forest plantations is a crucial but challenging and expensive process, usually performed through field analysis. For this reason, plantations’ carbon...","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"50 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Field-independent carbon mapping and quantification in forest plantation through remote sensing\",\"authors\":\"Saverio Francini, Elia Vangi, Giovanni D’Amico, Costanza Borghi, Guido Cencini, Cecilia Monari, Catherine Zolli, Gherardo Chirici\",\"doi\":\"10.1080/22797254.2024.2334717\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quantifying the carbon-stocking contribution of forest plantations is a crucial but challenging and expensive process, usually performed through field analysis. For this reason, plantations’ carbon...\",\"PeriodicalId\":49077,\"journal\":{\"name\":\"European Journal of Remote Sensing\",\"volume\":\"50 1\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Remote Sensing\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1080/22797254.2024.2334717\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"REMOTE SENSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Remote Sensing","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/22797254.2024.2334717","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"REMOTE SENSING","Score":null,"Total":0}
Field-independent carbon mapping and quantification in forest plantation through remote sensing
Quantifying the carbon-stocking contribution of forest plantations is a crucial but challenging and expensive process, usually performed through field analysis. For this reason, plantations’ carbon...
期刊介绍：
European Journal of Remote Sensing publishes research papers and review articles related to the use of remote sensing technologies. The Journal welcomes submissions on all applications related to the use of active or passive remote sensing to terrestrial, oceanic, and atmospheric environments. The most common thematic areas covered by the Journal include:
-land use/land cover
-geology, earth and geoscience
-agriculture and forestry
-geography and landscape
-ecology and environmental science
-support to land management
-hydrology and water resources
-atmosphere and meteorology
-oceanography
-new sensor systems, missions and software/algorithms
-pre processing/calibration
-classifications
-time series/change analysis
-data integration/merging/fusion
-image processing and analysis
-modelling
European Journal of Remote Sensing is a fully open access journal. This means all submitted articles will, if accepted, be available for anyone to read anywhere, at any time, immediately on publication. There are no charges for submission to this journal.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
