{"title":"利用地球遥感评估海岸线景观结构变化","authors":"K.V. Zakharov, L. Emelyanova, A. Oboturov","doi":"10.22389/0016-7126-2023-992-2-44-53","DOIUrl":null,"url":null,"abstract":"\nDeveloping the reservoirs’ coastal strip in the Moscow oblast is an acute problem, and it has become especially critical during the recent three decades. To assess the impact of the coastal landscape structure transformation on the reservoirs eutrophication, we employed the vegetation index NDVI, which correlates with the chlorophyll A content in the water. Five water bodies were chosen as research objects and the materials of the Landsat 5 and 7 missions for the period from 1985 to 2020 with five-year intervals were used. The spatial and temporal dynamics of biotopes were monitored in 1 km wide coastal strip, and the values of the vegetation index were counted in the area. We have created time series of average index values with the increasing trend approximated through linear and polynomial functions. The dynamics of open and forest biotopes are not the same, and only the built-up area constantly expands. Regression analysis has shown the relationship between the coastal landscape structure and NDVI values. Growing development of areas significantly causes an enhancement of the mentioned amounts.\n","PeriodicalId":35691,"journal":{"name":"Geodeziya i Kartografiya","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of the shoreline landscape structure transformation through using the Earth remote sensing\",\"authors\":\"K.V. Zakharov, L. Emelyanova, A. Oboturov\",\"doi\":\"10.22389/0016-7126-2023-992-2-44-53\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nDeveloping the reservoirs’ coastal strip in the Moscow oblast is an acute problem, and it has become especially critical during the recent three decades. To assess the impact of the coastal landscape structure transformation on the reservoirs eutrophication, we employed the vegetation index NDVI, which correlates with the chlorophyll A content in the water. Five water bodies were chosen as research objects and the materials of the Landsat 5 and 7 missions for the period from 1985 to 2020 with five-year intervals were used. The spatial and temporal dynamics of biotopes were monitored in 1 km wide coastal strip, and the values of the vegetation index were counted in the area. We have created time series of average index values with the increasing trend approximated through linear and polynomial functions. The dynamics of open and forest biotopes are not the same, and only the built-up area constantly expands. Regression analysis has shown the relationship between the coastal landscape structure and NDVI values. Growing development of areas significantly causes an enhancement of the mentioned amounts.\\n\",\"PeriodicalId\":35691,\"journal\":{\"name\":\"Geodeziya i Kartografiya\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geodeziya i Kartografiya\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22389/0016-7126-2023-992-2-44-53\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Earth and Planetary Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geodeziya i Kartografiya","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22389/0016-7126-2023-992-2-44-53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
Assessment of the shoreline landscape structure transformation through using the Earth remote sensing
Developing the reservoirs’ coastal strip in the Moscow oblast is an acute problem, and it has become especially critical during the recent three decades. To assess the impact of the coastal landscape structure transformation on the reservoirs eutrophication, we employed the vegetation index NDVI, which correlates with the chlorophyll A content in the water. Five water bodies were chosen as research objects and the materials of the Landsat 5 and 7 missions for the period from 1985 to 2020 with five-year intervals were used. The spatial and temporal dynamics of biotopes were monitored in 1 km wide coastal strip, and the values of the vegetation index were counted in the area. We have created time series of average index values with the increasing trend approximated through linear and polynomial functions. The dynamics of open and forest biotopes are not the same, and only the built-up area constantly expands. Regression analysis has shown the relationship between the coastal landscape structure and NDVI values. Growing development of areas significantly causes an enhancement of the mentioned amounts.