Spectral indices are combinations of spectral reflectance from two or more wavelengths that indicate the relative abundance of features of interest.

Above ground biomass estimation using Random Forest Regression in Google Earth Engine

This is a plugin to load OSM and satellite imagery in QGIS. All code related to this plugin is freely available on GitHub.

Semantic image Segmentation to achieve building footprints of the old cluster area of Nepal like Bhaktapur Municipality, Thimi , and etc.

Change Detection of Kathmandu Valley using different Machine Learning classifiers like Random Forest (RF), Support Vector Machine(SVM) and Classification and Regression Tree (CART).

This is a tool for closed traverse with two known coordinates, included angle and distance between the station.

Geospatial Analysis on the to explore spatial patterns, relationships, and trends on districtwise dengue cases, population, population density, average temperature, and precipitation,

XML-based open standard to represent 3D city models.

Semantic image segmentation to extract the road from the high resolution satellite imagery.

ResNet is a deep convolutional neural network used in computer vision which addresses the vanishing gradient problems.

This is a QGIS plugin to segment building polygon from the images provided.

Calculate the distance between two points along the route by querying the name of the route.

Spectral index for detecting urban and built up areas based on the red and blue bands.

This is a tool to extract building footprints using instance segmentation.

Automative map production and managing map layouts programmatically.