Assessment of the shoreline landscape structure transformation through using the Earth remote sensing

Q4 Earth and Planetary Sciences
K.V. Zakharov, L. Emelyanova, A. Oboturov
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引用次数: 0

Abstract

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.
利用地球遥感评估海岸线景观结构变化
开发莫斯科州的水库海岸带是一个严重的问题,在最近三十年里变得尤为重要。为了评估海岸景观结构变化对水库富营养化的影响,我们采用了与水中叶绿素A含量相关的植被指数NDVI。选择了五个水体作为研究对象,并使用了1985年至2020年期间陆地卫星5号和7号任务的材料,间隔五年。在1公里宽的海岸带内监测了生物生境的时空动态,并统计了该地区的植被指数值。我们创建了平均指标值的时间序列,其增长趋势通过线性和多项式函数近似。开放和森林生物生境的动态并不相同,只有建成区不断扩大。回归分析显示了海岸景观结构与NDVI值之间的关系。区域的不断发展大大提高了上述数量。
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来源期刊
Geodeziya i Kartografiya
Geodeziya i Kartografiya Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
0.60
自引率
0.00%
发文量
73
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