[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["必要な情報がない","missingTheInformationINeed","thumb-down"],["複雑すぎる / 手順が多すぎる","tooComplicatedTooManySteps","thumb-down"],["最新ではない","outOfDate","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["サンプル / コードに問題がある","samplesCodeIssue","thumb-down"],["その他","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis webpage provides access to a variety of geomorphology datasets, including landforms, topographic diversity, and Continuous Heat-Insolation Load Index (CHILI).\u003c/p\u003e\n"],["\u003cp\u003eDatasets are derived from ALOS, SRTM, and NED DEMs, offering global and US-specific coverage.\u003c/p\u003e\n"],["\u003cp\u003eThe Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) project developed these datasets.\u003c/p\u003e\n"],["\u003cp\u003eData is available at various resolutions, primarily 30m and 10m, and can be used for ecological and conservation applications.\u003c/p\u003e\n"],["\u003cp\u003eA global Human Modification dataset is also included, providing a cumulative measure of human impact on terrestrial lands.\u003c/p\u003e\n"]]],["The provided content details various geospatial datasets focusing on land characteristics. These include the Continuous Heat-Insolation Load Index (CHILI), which estimates the effects of insolation and shading on evapotranspiration. The Multi-Scale Topographic Position Index (mTPI) differentiates ridge and valley forms using elevation data. Landform datasets combine CHILI and mTPI to classify landforms. Topographic and physiographic diversity indices quantify the variety of temperature, moisture, and physiographic types, influencing habitat suitability. Additionally, there is a global dataset on human modification of land.\n"],null,[]]