Surface water mapping using Sentinel-1 and Google Earth Engine
-
Updated
Nov 21, 2024 - Jupyter Notebook
Surface water mapping using Sentinel-1 and Google Earth Engine
A Python toolkit designed to construct deep learning-ready datasets from Google Earth Engine
CO2NEX Whitepaper — Roadmap, vision, and infrastructure explained.
AgriTech-WISE est une plateforme web avancée qui révolutionne le monitoring de l'humidité du sol en agriculture grâce à l'imagerie satellite et l'intelligence artificielle.
This repository contains code for generating Sentinel-2 imagery using GEE and SentinelHub Python API and applying Segment Anything Geospatial at scale.
Notebook environment for Satellite Image Analysis (GEOG 581) coursework.
Land Cover Classification for KAZA in Collaboration with WWF Space Science Germany
A Geospatial AI and Remote Sensing toolkit for tracking the construction progress of the Samruddhi Expressway using Sentinel-2 imagery and Google Earth Engine.
Exploring and detecting farm plots in KAZA in collaboration with WWF Germany's Space+Science Team
📱 Este notebook muestra el principio fundamental del sistema de alertas de terremotos de Android 🌎
A comprehensive, end-to-end geospatial pipeline for wildfire damage assessment. Integrates Google Earth Engine (GEE) data harvesting with NASA-IBM Prithvi EO 2.0 (Vision Transformer) fine-tuning to achieve a +50.58% Macro F1 improvement in burn scar severity classification.
Regression pipeline predicting ward-level Land Surface Temperature across 198 BBMP wards of Bengaluru from satellite land-use features (MAE 0.39°C). Served as a Flask REST API.
Comprehensive elephant movement workflow analyzing GPS data from EarthRanger. Generates home range, seasonal, recursion, day/night, and speed raster maps alongside subject tracks, protection status analysis, and a compiled Word report using landDX database and Google Earth Engine data.
Add a description, image, and links to the google-earth-engine-python topic page so that developers can more easily learn about it.
To associate your repository with the google-earth-engine-python topic, visit your repo's landing page and select "manage topics."