E. Hansen, Julius Wold, M. Dalponte, T. Gobakken, Lennart Noordermeer, H. Ørka
{"title":"利用机载激光扫描和光学卫星数据估计心材腐烂的发生、严重程度和数量","authors":"E. Hansen, Julius Wold, M. Dalponte, T. Gobakken, Lennart Noordermeer, H. Ørka","doi":"10.1080/22797254.2023.2229501","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of the occurrence, severity, and volume of heartwood rot using airborne laser scanning and optical satellite data\",\"authors\":\"E. Hansen, Julius Wold, M. Dalponte, T. Gobakken, Lennart Noordermeer, H. Ørka\",\"doi\":\"10.1080/22797254.2023.2229501\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":49077,\"journal\":{\"name\":\"European Journal of Remote Sensing\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2023-07-04\",\"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/10.1080/22797254.2023.2229501\",\"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/10.1080/22797254.2023.2229501","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}
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.