GDSL-UL / sat_cnnLinks
Code for "Estimating Generalized Measures of Local Neighbourhood Context from Multispectral Satellite Images Using a Convolutional Neural Network" research paper
☆25Updated 3 years ago
Alternatives and similar repositories for sat_cnn
Users that are interested in sat_cnn are comparing it to the libraries listed below
Sorting:
- Rapid map creation with machine learning and earth observation data.☆76Updated 10 months ago
- ☆73Updated last year
- ☆84Updated 3 years ago
- This repository contains the classification module of the WorldCereal system.☆65Updated this week
- End-to-end workflow for generating high resolution cropland maps☆109Updated last month
- ☆58Updated last year
- A geospatial raster processing library for machine learning☆124Updated last year
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆99Updated 4 years ago
- Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning☆101Updated 10 months ago
- Repo for testing foundation models☆56Updated last year
- A toolkit that enables building damage assessments from remotely sensed imagery.☆134Updated 5 months ago
- 🌴 A dataset for estimating tropical forest biomass based on drone and field data☆80Updated 3 years ago
- MapMiner is a powerful tool designed to efficiently extract and process geospatial data from various sources. Leveraging advanced technol…☆43Updated last week
- Earth Observation dataset preprocessing tools for Deep Learning☆39Updated last year
- Starter pack for the AI4Food challenge organised by TUM/DLR, Planet and Radiant Earth☆34Updated 2 years ago
- A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.☆172Updated last year
- Annual and in-season crop mapping in Kenya☆24Updated 4 years ago
- List of all datasets included in Google Earth Engine (generated from https://developers.google.com/earth-engine/datasets/catalog/)☆84Updated this week
- ☆34Updated 3 months ago
- Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020☆67Updated 5 years ago
- AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.☆202Updated last week
- ☆125Updated 10 months ago
- Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification☆67Updated 2 years ago
- An LSTM to generate a crop mask for Togo☆30Updated 4 years ago
- Running Segment Anything Geospatial over Earth Engine exports with Dataflow at scale.☆29Updated 2 years ago
- Image segmentations of trees outside forest☆169Updated 8 months ago
- Dataset for training and evaluating tree detectors in urban environments with aerial imagery☆38Updated last year
- Machine Learning for Earth Observation Training of Trainers Bootcamp☆101Updated 3 years ago
- Contains implementations of data-centric approaches for improving semantic segmentation on satellite imagery.☆51Updated 5 months ago
- Visualize classified time series data with interactive Sankey plots in Google Earth Engine☆107Updated 2 months ago