prhuppertz / Burned_Area_DetectionLinks
Detecting Burned Areas with Sentinel-2 remote sensing data using Deep Learning
☆19Updated 4 years ago
Alternatives and similar repositories for Burned_Area_Detection
Users that are interested in Burned_Area_Detection are comparing it to the libraries listed below
Sorting:
- Object-based land cover classification with Support Vector Machine for Google Earth Engine☆35Updated 6 years ago
- [RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies☆63Updated last year
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆43Updated 2 years ago
- [GSRL] Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆67Updated 2 years ago
- Classifying remote sensing data with random forest☆102Updated 4 years ago
- A deep learning model for surface water mapping based on satellite optical image.☆113Updated 4 years ago
- ☆35Updated 2 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆50Updated 9 months ago
- This repository provides a way to extract water bodies using deep learning methods in GEE.☆34Updated 2 years ago
- A new WatNet version which further extends the data applicability from Sentinel-2 image to Landsat-5, 7, 8 images.☆13Updated last year
- Cloud masking for Landsat-8 & Sentinel-2☆34Updated 3 years ago
- A Python library for extraction water areas as shapefile extension from Sentinel 2A Satellite Images.☆10Updated 4 years ago
- An LSTM to generate a crop mask for Togo☆30Updated 4 years ago
- Crop classification of fields in South Africa using multispectral imagery☆17Updated 2 years ago
- Python code for the DECODE method and mxnet code for Fractal ResUNet☆46Updated 4 years ago
- Gaofen Batch，基于GDAL和Electron的国产卫星影像预处理工具☆59Updated last year
- Codebase for land cover classification with U-Net☆23Updated 6 years ago
- ☆30Updated 5 years ago
- In this repository, we provide all the used scripts to create Sentinel2GlobalLULC Dataset and explain each step of their usage. All prese…☆14Updated 3 years ago
- geospatial-study☆28Updated last year
- Crop type mapping of small holder farms in Ghana, and South Sudan☆89Updated 2 years ago
- Estimate vegetation height from satellite images using deep learning.☆21Updated 3 years ago
- ☆39Updated 3 months ago
- Algorithm developed for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data.☆102Updated 10 months ago
- Sentinel-2 Crop Trait Retrieval Using Physiological and Phenological Priors from Field Phenotyping (Graf et al., 2023, RSE)☆24Updated last year
- Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication☆106Updated 3 years ago
- Code for journal paper "Deep Learning for Land Cover Change Detection".☆39Updated 4 years ago
- Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.☆39Updated 4 years ago
- Crop growth stage modeling and classification☆11Updated 6 years ago
- ☆38Updated 2 years ago