Landslide susceptibility mapping by deep learning and slope unit
r.landslide is a free and open source add-on to the open source Geographic Information System (GIS) GRASS software for the mapping of landslide susceptiblity. The tool was developed in Python language and works on the basis of Artificial Neural Networks (ANNs) fed with environmental parameters and landslide databases. The module can be used by natural disaster management bodies and land use planning organs as a support tool for the elaboration of landslide susceptibility maps in an agile and efficient manner.
利用随机森林(RandomForest)和支持向量机(SVM)实现遥感影像滑坡分类,包括shp文件采样,样本分块读取和训练,精度评定(绘制和输出拟合过程曲线、模型精度、混淆矩阵等)和滑坡分类结果输出(tif格式)。
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Prediction of landslide probabilities at a location using various features like rainfall, sea level height and various related factors.
:sparkles::bar_chart: :chart_with_upwards_trend::sparkles: Landslide Susceptibility Mapping in Mila Basin, Algeria
使用Java开发的地图瓦片图下载工具,支持OpenStreetMap、天地图、谷歌地图、高德地图、腾讯地图、必应地图的XYZ瓦片图下载与合并。