Air pollution from burning sugarcane is an important environmental issue in Thailand. Knowing the location and extent of sugarcane plantations would help in formulating effective strategies to reduce burning. High-resolution satellite imagery combined with deep-learning technologies can be effective to map sugarcane with high precision. However, land cover mapping using high-resolution data and computationally intensive … CONTINUE READING
Category: geomatics Page 1 of 11
I happened across an interesting Github repository from Samapriya Roy the other day for creating custom basemaps to add to your Google Earth Engine map. Traditionally when using or sharing your work in GEE you have the option between a standard Google cartographic basemap or the ‘satellite’ view ( in quotations here since it’s my … CONTINUE READING
The large-scale quantification of impervious surfaces provides valuable information for urban planning and socioeconomic development. Remote sensing and GIS techniques provide spatial and temporal information of land surfaces and are widely used for modeling impervious surfaces. Traditionally, these surfaces are predicted by computing statistical indices derived from different bands available in remotely sensed data, such … CONTINUE READING
Purpose: This short tutorial focuses on understanding how to query and download the data from the Goddard Earth Sciences Data and Information Services Center (GES DISC). Since GES DISC consists of 32 projects and missions, we will look into one of the commonly used data – The Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG … CONTINUE READING
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