Datasets tagged oxford in Earth Engine
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[null,null,[],[[["\u003cp\u003eThis collection provides various gap-filled environmental datasets, including EVI, LST, TCB, and TCW, derived from MODIS imagery and processed using the approach outlined in Weiss et al.(2014).\u003c/p\u003e\n"],["\u003cp\u003eIt includes a fractional landcover product based on the IGBP layer from MODIS annual landcover data (MCD12Q1), representing the percentage of land cover types within each pixel.\u003c/p\u003e\n"],["\u003cp\u003eAdditionally, it offers global accessibility maps for cities and healthcare facilities, indicating travel time to these locations based on land-based travel speed data.\u003c/p\u003e\n"],["\u003cp\u003eThe datasets were developed by the Malaria Atlas Project (MAP) and are intended for research and analysis related to environmental monitoring, malaria epidemiology, and accessibility studies.\u003c/p\u003e\n"]]],["The content describes various datasets from the Oxford Malaria Atlas Project (MAP). These datasets include: Enhanced Vegetation Index (EVI), Fractional Landcover, Daytime and Nighttime Land Surface Temperature (LST), Tasseled Cap Brightness (TCB), and Tasseled Cap Wetness (TCW). Each dataset was created using MODIS imagery and gap-filled to eliminate missing data. Also, accessibility data for travel time to cities (2015) and healthcare (2019), as well as a global friction surface map (2019), are presented.\n"],null,[]]
