This article explores how remote sensing can address a specific problem in the mining sector: automatic detection and monitoring of mining excavation pits, particularly aggregate quarries.
Sentinel-2
5 posts
Ever wanted to compare areas in terms of greenery? Remote sensing data may present you with some answers. Here, we present a use case that can help us understand the utility of such information.
At the location of Lord Rama's birth, Ayodhya in the Indian state of Uttar Pradesh has recently seen an unprecedentedly large-scale construction project. We conducted a comparative visual analysis using Sentinel-2 satellite images from January 2020 and 2024. The analysis unequivocally shows that the area around the temple site has undergone significant change.
Say that you have Sentinel-2 data and want to derive land cover classes from that data. You adopt a common pixel-based classification approach, say, Random Forest. You design a suitable classification scheme and give the training samples to the algorithm. The classification result is straightforward: all the classes are identified […]
A few villages at the southern tip of the Indian subcontinent have shown high erosional rates (4 to 10 metres per year). This was revealed in a recent geospatial study conducted using multi-date satellite images. How was it detected? Geospatial technology was utilised for this study. Satellite-based remotely sensed images, repeatedly acquired […]