thisishardik / electrical_substation_detectionLinks
Machine Learning based feature extraction of electrical substations from satellite data. Powered by IEEE-ICETCI, RRSC-Central, NRSC, and ISRO, this project incorporates instance segmentation of substations using UNet, Albumentations for image augmentation, and OpenCV for computer vision tasks.
☆10Updated 3 years ago
Alternatives and similar repositories for electrical_substation_detection
Users that are interested in electrical_substation_detection are comparing it to the libraries listed below
Sorting:
- Geospatials project meant to help generate burn severity maps & assess surface area affected by wildfires.☆13Updated 4 months ago
- ☆17Updated last year
- Agricultural Classification and Estimation Service☆16Updated last year
- Landsat-Based Burn Extent and Severity Mapping☆12Updated last month
- Deforestation forecasting with deep convolution neural networks☆28Updated 2 years ago
- Simulation of urban heat islands in Lausanne with the InVEST urban cooling model☆17Updated 3 years ago
- EarthNet Minicuber☆15Updated last year
- Field Boundaries for Agriculture (fiboa) - a specification that describes important properties of field boundaries☆14Updated 3 months ago
- ☆12Updated last week
- Global Tree Cover Loss Analysis using Geotrellis and SPARK☆10Updated 3 weeks ago
- [ISPRS 23] Deforestation Detection in the Amazon with Sentinel-1 SAR Image Time Series☆11Updated last year
- This repository contains code examples which demonstrate how users can access the CMRSET actual evapotranspiration data product and relat…☆12Updated last year
- This is a program that uses multi-source remote sensing data to monitor the dynamic changes of lakes.☆11Updated 3 years ago
- A streamlit web app visualizing global surface water datasets.☆13Updated 2 years ago
- Project on detecting deforestation using deep learning algorithms☆13Updated 2 years ago
- coastTrain: a global reference library for coastal ecosystems☆15Updated 2 years ago
- ☆20Updated last year
- Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning☆21Updated 2 years ago
- Assessed the performance of Random Forest (RF) and Support Vector Machines (SVM) machine learning algorithms for land cover classificati…☆19Updated last year
- SMOKE Policy Tool: A framework to model and project the impact of Indonesian fires on public health in Equatorial Asia for 2005-2029 base…☆9Updated 8 months ago
- ☆13Updated 2 years ago
- Explainable Machine Learning Applications to Predict and Assess Complex Drought Impacts☆10Updated last year
- Multi-temporal land cover maps with a Hidden Markov Model☆14Updated 4 years ago
- ☆11Updated 2 years ago
- This repository explores object detection and building extraction from high resolution satellite imagery. With Object Based Image Analysi…☆7Updated 4 years ago
- Downscaling Oceanographic Satellite Data with Convolutional Neural Networks☆21Updated 4 years ago
- Spectral endmembers and unmixing tools for satellite land cover mapping.☆24Updated last year
- Here are the codes for the "Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data" paper.☆15Updated 3 years ago
- A R package for running Object-based Image Analysis and optimizing image segmentation parameters☆15Updated 3 months ago
- Seg2Map is an interactive web map app for geospatial image segmentation using deep learning☆13Updated last year