Python client for Hume AI

All the code in this branch will be python based, upon jupyter notebook. You will be able to find all codes for Google Earth Engine(GEE) on this repository. You will be able to link code with each post blog on readme file for each folders. Content from the Blog https://kaflekrishna.com.np will be uploaded here. https://google-earth-engine.com/

This a project was assigned for ExpoSys Data Labs Internship.

This repo includes the a detailed comparison of different vegetation indices (like NDVI, EVI, SAVI, NDWI) between landsat 8 and new landsat 9 satellite.

Remote Sensing Digital Satellite Image Processing with Python

API of services timeseries of MODIS NDVI.

Deep learning-based semantic segmentation of Sentinel-2 multispectral imagery for agricultural land cover classification. The project uses a custom Attention U-Net with spectral indices (NDVI, NDWI, MNDWI, EVI, AWEI) and an end-to-end pipeline including auto-labeling, patch-based training, and GIS-ready inference.

A “OS” that runs on your operating system and made with qt and python

Visualizing Vegetation Indices using python.

AI-powered Flutter application for predicting wildflower blooming using NASA GIBS satellite data, machine learning, and real-time mapping.

Open-source workflow for detecting, screening, and validating woody vegetation change across floodplain wetlands using Digital Earth Australia Land Cover, Water Observations, Landsat Surface Reflectance NBART, Wetlands Insight Tool outputs, ANAE wetland boundaries, and river gauge data for hydrological interpretation.