-Required are DEM/DTM satellite data from mountain ranges without glaciers. For example SRTM 30m.
-The data has 3 parameters only. X, Y and Elevation. There is no need for georeference or labels
-I use python 3.6 with tensorflow.keras
Additional questions:
-What data type is most beneficial: .png, .jpg, .tiff, .hgt, ... ?
-Are there other open access opportunities on the web like Google Earth Engine and USGS's Earth Explorer?
-Is it better to download the data to my local storage or import and process it directly from the python notebook via "import srtm" ?
Cheers!
You can read some papers presenting our datasets: https://data.world/kietnv. Our papers show how to create datasets and control their quality.
You can read some papers presenting our datasets: https://data.world/kietnv. Our papers show how to create datasets and control their quality.
You can refer the list of Vietnamese Datasets for Machine Learning Projects: https://metatext.io/datasets-list/vietnamese-language
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