arnavbansal1 / SatellitePollutionCNNLinks
Developed a novel algorithm to predict air pollution levels with state-of-art accuracy using deep learning and GoogleMaps satellite images
☆29Updated 6 years ago
Alternatives and similar repositories for SatellitePollutionCNN
Users that are interested in SatellitePollutionCNN are comparing it to the libraries listed below
Sorting:
- ☆17Updated 6 years ago
- Forest fire prediction powered by analytics☆15Updated 2 years ago
- ☆58Updated 6 years ago
- LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…☆59Updated 3 years ago
- Prediction of Crop Yield for farmers based on weather, satellite data☆56Updated 6 years ago
- Flood detection from images using deep learning. Deep learning library KERAS was employed and MobileNet architecture was fine-tuned for i…☆30Updated 3 years ago
- This repository contains a PyTorch implementation of a U-Net model for segmenting water areas (flood and permananet water) in Sentinel-1 …☆27Updated last year
- Satsense is a Python library for land use/cover classification using satellite imagery☆24Updated 5 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆50Updated 6 months ago
- Starter-pack for the AI4EO Food Security Challenge☆21Updated 2 years ago
- codes for RS paper: Rice-Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal☆28Updated last year
- 🛰️ Process raster data in python☆23Updated 3 weeks ago
- Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.☆64Updated 6 years ago
- Estimate vegetation height from satellite images using deep learning.☆21Updated 3 years ago
- Python bindings for Remote Sensing Models☆31Updated 4 years ago
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆97Updated 3 years ago
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆43Updated last year
- Progress towards global asset localisation using remote sensing and computer vision, beginning with solar PV.☆19Updated 5 years ago
- Automatic mapping of center pivot irrigation systems, planted forests and rural infrastructures☆23Updated 2 years ago
- A JavaScript code developed in Google Earth Engine (GEE) Platform to Detect Flooded Area along with Affected Population☆59Updated 5 years ago
- This implementation uses python to seamlessly integrate Sentinel-1 SAR image preparation in GEE with deep learning in Tensorflow for SAR …☆28Updated 9 months ago
- Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing☆21Updated 4 years ago
- zia207 / Deep-Neural-Network-Satellite-Image-Classification-in-Google-Colaboratory-iPython-Note-Book-Deep Neural Network: Satellite Image Classification in Google Colaboratory iPython Note Book☆10Updated 2 months ago
- Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.☆47Updated 3 years ago
- Farm Scale Soil Moisture using Remote Sensing and Water Budget Products☆23Updated last year
- Crop yield prediction on remote sensing data using CNN☆25Updated 6 years ago
- ☆52Updated last year
- This Dataset was created based on Remote Sensing data to predict the occurrence of wildfires.☆28Updated 6 years ago
- Models for the EarthNet2021 challenge.☆45Updated 9 months ago
- Detecting Burned Areas with Sentinel-2 remote sensing data using Deep Learning☆18Updated 4 years ago