aokdata / Land_Cover_Classification
A deep learning (neural network) land cover classification project using satellite images (remote sensing).
☆16Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Land_Cover_Classification
- Practical Project for Semantic Segmentation of Building Footprint from Satellite Images☆18Updated 3 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆48Updated last year
- ☆12Updated 3 years ago
- Winter Wheat Yield Estimation from Multi-temporal Remote Sensing Images Based on Convolutional Neural Networks☆15Updated 4 years ago
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆77Updated last year
- Object-based Image Analysis (OBIA)☆22Updated 2 years ago
- List of datasets and codes for remote sensing LULC applications.☆31Updated 3 months ago
- Codebase for land cover classification with U-Net☆18Updated 5 years ago
- Code for the paper Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery published …☆27Updated 4 years ago
- Detecting Burned Areas with Sentinel-2 remote sensing data using Deep Learning☆15Updated 3 years ago
- Landslide detection using Random Forest model☆17Updated 3 years ago
- Image classification on Sentinel-2 satellite imagery.☆31Updated 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 2 years ago
- ☆28Updated 4 years ago
- classification of remote sensing images using Convolutional Neural Networks (CNN)