The early part of the twenty-first century has recorded the forest carbon loss increasing in the tropical regions. A remote sensing study to this effect was conducted that extensively used the vast collection of Landsat satellite images. Forest cover change Landsat 30 m spatial resolution data was aggregated yearly to […]
Monthly Archives: September 2022
7 posts
Kolleru Lake is India’s largest freshwater lake. In recent years, satellite images of the lake witnessed the fishpond lakes developing, drastically altering the region’s land use and land cover. The analysis employed Landsat images over the year 2018. A median image was generated using all the cloud-free images available during […]
Limiting future climate change is increasingly getting attention across the globe. As a result, energy generation and consumption patterns are changing, also known as clean energy transition. However, this transition is not going uniform across the communities, making it towards economic disparities. There are certain underserved areas far from the […]
As derived from Landsat series datasets, the satellite-based land surface temperature data is prevalent among researchers studying surface urban heat islands. Surface urban heat island is the term given to the land surface temperature difference in urban areas concerning the land surface temperature of the surrounding surface. The following are […]
With the onset of the digital age, printed hardcopy maps have lost their relevance. Instead, the more versatile, digital maps have arrived, which are served through the internet. Suppose you have geospatial datasets to combine and create thematic maps and then serve them through the web. GeoNode may assist you in executing […]
The temporal resolution of the remotely sensed images is improving. Therefore, more attention is sought for the change detection applications. The approach of deep learning is being tried on remote sensing datasets. Here are a few supervised deep learning approaches that are applied for change detection applications using multispectral remote […]
Wetlands are valuable. We need to preserve them. We need to keep a record, an inventory of wetlands, and their inundation maps. Remote sensing can help in this. This article describes a novel way, LiDAR-based mapping.