{"title":"基于MODIS遥感技术的景区自然资源动态监测算法","authors":"Maolin Li","doi":"10.15446/ESRJ.V25N1.93869","DOIUrl":null,"url":null,"abstract":"A dynamic monitoring algorithm of natural resources in scenic spots based on MODIS remote sensing technology is proposed to improve natural resources monitoring accuracy in scenic spots. The remote sensing images of scenic spots obtained by MODIS were preprocessed by TM image processing, atmospheric correction, and other technologies to get high-precision remote sensing images. The remote sensing images of scenic spots were segmented by the multi-scale segmentation method, and then the hierarchical supervision classification method was used. The change points of natural resources were extracted. The resource changes and independent variables of scenic spots were analyzed based on the least square method to realize the dynamic monitoring of natural resources in scenic locations. The experimental results show that the technique can accurately monitor the dynamic changes of forest resources and water resources in scenic spots, and the monitoring results have high accuracy.","PeriodicalId":11456,"journal":{"name":"Earth Sciences Research Journal","volume":"25 1","pages":"57-64"},"PeriodicalIF":0.7000,"publicationDate":"2021-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Dynamic monitoring algorithm of natural resources in scenic spots based on MODIS Remote Sensing technology\",\"authors\":\"Maolin Li\",\"doi\":\"10.15446/ESRJ.V25N1.93869\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A dynamic monitoring algorithm of natural resources in scenic spots based on MODIS remote sensing technology is proposed to improve natural resources monitoring accuracy in scenic spots. The remote sensing images of scenic spots obtained by MODIS were preprocessed by TM image processing, atmospheric correction, and other technologies to get high-precision remote sensing images. The remote sensing images of scenic spots were segmented by the multi-scale segmentation method, and then the hierarchical supervision classification method was used. The change points of natural resources were extracted. The resource changes and independent variables of scenic spots were analyzed based on the least square method to realize the dynamic monitoring of natural resources in scenic locations. The experimental results show that the technique can accurately monitor the dynamic changes of forest resources and water resources in scenic spots, and the monitoring results have high accuracy.\",\"PeriodicalId\":11456,\"journal\":{\"name\":\"Earth Sciences Research Journal\",\"volume\":\"25 1\",\"pages\":\"57-64\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2021-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Earth Sciences Research Journal\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.15446/ESRJ.V25N1.93869\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earth Sciences Research Journal","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.15446/ESRJ.V25N1.93869","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Dynamic monitoring algorithm of natural resources in scenic spots based on MODIS Remote Sensing technology
A dynamic monitoring algorithm of natural resources in scenic spots based on MODIS remote sensing technology is proposed to improve natural resources monitoring accuracy in scenic spots. The remote sensing images of scenic spots obtained by MODIS were preprocessed by TM image processing, atmospheric correction, and other technologies to get high-precision remote sensing images. The remote sensing images of scenic spots were segmented by the multi-scale segmentation method, and then the hierarchical supervision classification method was used. The change points of natural resources were extracted. The resource changes and independent variables of scenic spots were analyzed based on the least square method to realize the dynamic monitoring of natural resources in scenic locations. The experimental results show that the technique can accurately monitor the dynamic changes of forest resources and water resources in scenic spots, and the monitoring results have high accuracy.
期刊介绍：
ESRJ publishes the results from technical and scientific research on various disciplines of Earth Sciences and its interactions with several engineering applications.
Works will only be considered if not previously published anywhere else. Manuscripts must contain information derived from scientific research projects or technical developments. The ideas expressed by publishing in ESRJ are the sole responsibility of the authors.
We gladly consider manuscripts in the following subject areas:
-Geophysics: Seismology, Seismic Prospecting, Gravimetric, Magnetic and Electrical methods.
-Geology: Volcanology, Tectonics, Neotectonics, Geomorphology, Geochemistry, Geothermal Energy, ---Glaciology, Ore Geology, Environmental Geology, Geological Hazards.
-Geodesy: Geodynamics, GPS measurements applied to geological and geophysical problems.
-Basic Sciences and Computer Science applied to Geology and Geophysics.
-Meteorology and Atmospheric Sciences.
-Oceanography.
-Planetary Sciences.
-Engineering: Earthquake Engineering and Seismology Engineering, Geological Engineering, Geotechnics.
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