This blog post presents a remote sensing-based approach to assess the spatiotemporal impact of mining activities on land use/land cover (LULC).
Satellite data
17 posts
Remote sensing satellites equipped with special sensors can detect faint light emissions in the visible and infrared wavelengths. This data, known as night light data, offers a wealth of information for researchers and policymakers.
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.
Envirotyping, involves characterizing and quantifying the environmental factors that control plant growth and development.
This post throw some light on spectral saturation problem being experienced by the remote sensing community.
In the context of global warming and climate change, it has become essential to conduct thorough global and regional studies on temperature fluctuations.
SAR technology has all-weather capabilities, making it useful for flood-prone area mapping. We employ Sentinel-1 SAR GRD imagery for mapping 2018 Kerala floods.
Methane is a greenhouse gas. It adds to global warming. Plumes of methane emissions are detectable through satellite-based sensors.
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.
Whether urban afforestation truly has an impact? By investing in urban afforestation, how much is it helping their city? Is there a way for them to maximize the cooling effects they achieve?