イギリス北ヨーク・ムーアーズの広範囲で地すべり解析を試みており、検討している各ポイント（10m×10mの解像度）に対するパラメータの収集に苦労しています。<\/P>
各ポイントについて、傾斜角が23度を超えるupslope areaの割合が必要です。傾斜解析はラスター出力で完了しましたが、upslope areaに関する次の解析段階をどのように進めるかで苦戦しています。この解析を行うために使用できる手順について何かおすすめはありますか？<\/P>
ご提案いただけると幸いです。<\/P>
You could use the Watershed tool to identify the upslope cells for each point.
https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-analyst/watershed.htm
Use it in loop and make a separate output for each point (use Python or ModelBuilder to automate this, naming each output using a unique value associated with the given study point).
Use Con to determine, for all cells, which ones are greater than 23 degrees slope and code them as 1.
https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-analyst/con-.htm
Then use the output upslope watershed for each point to summarize the number of cells in that watershed that have have a value of 1.
Could probably use Zonal Statistics for that:
https://pro.arcgis.com/en/pro-app/latest/help/analysis/raster-functions/zonal-statistics-global-function.htm
https://gis.stackexchange.com/questions/142412/counting-number-of-raster-cells-satisfying-a-criteria-within-a-polygon
Amazing, thank you for the advice I'll see what I can do!
Do you think this would be viable for a 32 million point dataset?
Well, as I said, you will need to do some automation.
It may also be useful to break up the input points into chunks in different feature classes to process.
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