ClarkCGA / multi-temporal-crop-classification-training-data
This repository contains the pipeline for generating a training dataset for land cover and crop type segmentation using USDA CDL data.
☆10Updated last year
Alternatives and similar repositories for multi-temporal-crop-classification-training-data:
Users that are interested in multi-temporal-crop-classification-training-data are comparing it to the libraries listed below
- Intended for an AMLD 2024 workshop.☆22Updated last year
- ☆57Updated 10 months ago
- End-to-end workflow for generating high resolution cropland maps☆105Updated last week
- A community-driven effort to make examples, user-defined processes and code snippets available in a single place.☆44Updated this week
- This repository contains the classification module of the WorldCereal system.☆49Updated this week
- Machine Learning for Earth Observation Training of Trainers Bootcamp☆100Updated 3 years ago
- ☆33Updated last week
- Bridging Earth Observation data and Machine Learning in Python☆44Updated 2 years ago
- Baseline model for crop type segmentation as part of the HLS FM downstream task evaluations☆22Updated last year
- ML Flood Finder Package from Sentinel 1 (SAR) Imagery☆30Updated 9 months ago
- A toolkit that enables building damage assessments from remotely sensed imagery.☆115Updated 3 weeks ago
- A Python package for simple STAC queries☆66Updated 2 years ago
- Hydro -- A Foundation Model for Water in Satellite Imagery☆55Updated 2 months ago
- ☆66Updated 10 months ago
- Sample Jupyter notebooks for EOdal☆40Updated last year
- Near Real Time monitoring of satellite image time-series☆66Updated 7 months ago
- A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc)…☆46Updated last year
- Code for running baseline models/experiments with the Fields of The World dataset☆80Updated 2 weeks ago
- Machine learning for satellite image time series☆27Updated 5 years ago
- Earth observation framework for scaled-up processing in Python☆43Updated last month
- STAC Machine Learning Model (MLM) Extension to describe ML models, their training details, and inference runtime requirements.☆38Updated last week
- An LSTM to generate a crop mask for Togo☆30Updated 4 years ago
- GeoPatch is a package for generating patches from remote sensing data☆41Updated last year
- ☆18Updated last year
- Interoperable processes for openEO's big Earth observation cloud processing.☆50Updated 3 weeks ago
- Deep learning with TensorFlow and earth observation data.☆26Updated last year
- Sensor Independent Cloud and Shadow Masking with Ambiguous Labels and Multimodal Inputs☆37Updated 7 months ago
- Rapid map creation with machine learning and earth observation data.☆70Updated 5 months ago
- Using GEE to collect and discover land surface temperature data over European river basins.☆35Updated last month
- ☆29Updated 2 years ago