evi

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.

Code listings (R and Python) for satellite image processing of Landsat 9 OLI/TIRS and SRTM DEM data: band stacking, RGB/false-colour composites, vegetation indices (NDVI, SAVI, EVI2, ARVI2) via terra/raster, and DEM hillshade via rasterio/earthpy. Cote d'Ivoire; Lemenkova & Debeir (2022), J. Imaging 8(12):317.

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

Multi-temporal Landsat 8 image-processing workflow for flood monitoring in the Inner Niger Delta, Mali (2013-2022): R/terra vegetation indices (NDVI, EVI, SAVI), RStoolbox/GRASS unsupervised k-means classification, Python Pearson/Kendall correlograms and a GMT map. Lemenkova & Debeir (2023), Artificial Satellites 58(4):278-313.

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

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.

Visualizing Vegetation Indices using python.

LaTeX source for the article 'Satellite Image Processing by Python and R Using Landsat 9 OLI/TIRS and SRTM DEM Data on Côte d'Ivoire, West Africa' (Lemenkova & Debeir, J. Imaging 2022, 8(12):317). Vegetation indices in R (terra/raster) and terrain modelling in Python (EarthPy).

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

Evaluate spectral index expressions over raster bands and write a Cloud Optimized GeoTIFF - safe ast-based expression evaluator, 18 built-in indices, SCL cloud masking, windowed processing

GRASS GIS scripts (i.vi, i.landsat.toar) for computing ten vegetation indices from Landsat 8-9 OLI/TIRS, for the article 'Computing Vegetation Indices from the Satellite Images Using GRASS GIS Scripts for Monitoring Mangrove Forests in the Coastal Landscapes of Niger Delta, Nigeria' (Lemenkova & Debeir, J. Mar. Sci. Eng. 2023, 11(4):871).

LaTeX source for the article 'Computing Vegetation Indices from the Satellite Images Using GRASS GIS Scripts for Monitoring Mangrove Forests in the Coastal Landscapes of Niger Delta, Nigeria' (Lemenkova & Debeir, J. Mar. Sci. Eng. 2023, 11(4):871).

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.

Custom language model socket server for Hume AI's Empathic Voice Interface (EVI).