In recent years, support vector machine (SVM) has been widely applied in remote sensing image classification, since its experience can also minimize errors and maximize the geometric characteristics of the edge area. In this article SVM classification algorithm will be introduced the remote sensing extraction coastline. Fujian Province Landsat7 ETM + image will be a test region to be classified the image and extract the shoreline. Then based on the coastline formula calculate modified the shoreline in the ArcGIS and completed the extraction of coastline
Vegetation canopy water content is essential to monitor crop water deficit and natural communities in the diagnosis assessment of drought, forest and grassland fire risk prediction as well. In this study, four 8-day composite MODIS surface reflectance images were used as the basic data. Global Vegetation Moisture Index (GVMI) and Equivalent Water Thickness (EWT) model were adopted to estimate the vegetation canopy water content in Changbai Mountain area. The seasonal and interannual changes in vegetation water content during the period of 2000 to 2007 respectively were revealed. The relationship between vegetation water pattern characteristics and climate were discussed.
Typhoons play a significant role in the marine sedimentary dynamic process and thus could significantly change the submarine geomorphology in their influence area. In this study, a high-resolution sub-bottom profiler and a side-scan sonar were used to detect the submarine geomorphology of the southeast coastal area of Nanri Island in the Taiwan Strait before and after Typhoon Soudelor-three times in 2015. The results show that the typhoon induced seaward movement of the sand dunes up to several tens of meters, resulting in significant changes in both the shape of the sand dunes and the scale of the exposed bedrocks. The typhoon also changed the submarine geomorphology, including the smoothing of anchor traces of fishing boats and the formation of relatively small sand dunes (groups). A comparison of the results of different surveys shows that the submarine geomorphology that was changed by Typhoon Soudelor could not recover within a short period of time. The wind field simulations of the typhoon process showed that the storm wave caused by the strong wind stress of the typhoon was a key dynamic factor for changing the submarine geomorphology.
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