GDAL is a powerful geospatial processing library that backups many of the geospatial software you are using. The full list can be found here.
In this post, we will look at a very basic example of reading the raster file including all the bands and looping through the bands to get the statistics (Minimum, … CONTINUE READING
In this document, I will convert the GPS way-points (with photo-link, name, latitude, longitude) into shapefile using arcpy and python modules. Find the example gpx file from this link. Use the following example code and modify according to your need. The photos are in the same folder as the gpx file.… CONTINUE READING
Let’s use Google Earth Engine and satellite data to visualize the time-series of the Amazon Fires 2019. In this post, I will be using FIRMS (Fire Information for Resource Management System). FIRMS disseminates Near-Real-Time active fire from the NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) and NASA’s Visible Infrared Imaging Radiometer Suite (VIIRS) satellite. This data … CONTINUE READING
In this tutorial, we will be adding the attribute to the shapefile and updating its value using ArcPy. You need to have ArcGIS installed in order to use ArcPy. This script has been tested with ArcGIS Version 10.6 but should work with most versions.
Go ahead and download the data from here. This data … CONTINUE READING
In this tutorial, we are going to write a simple script to zip your shapefiles so you can upload them to Google Earth Engine (GEE). If you are following along, refer to this post, you can see that GEE takes in certain kind of files in for it to be valid shapefile. Alternatively, you … CONTINUE READING
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