felixriese / hyperspectral-soilmoisture-datasetLinks
Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.
☆50Updated 4 years ago
Alternatives and similar repositories for hyperspectral-soilmoisture-dataset
Users that are interested in hyperspectral-soilmoisture-dataset are comparing it to the libraries listed below
Sorting:
- Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.☆68Updated 6 years ago
- Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification☆165Updated last year
- Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series☆167Updated 5 years ago
- LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…☆63Updated 3 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆52Updated last year
- Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication☆108Updated 4 years ago
- A CNN is trained to perform the estimation of the NDVI, using coupled Sentinel-1 and Sentinel-2 time-series.☆38Updated 7 years ago
- Hyperspectral image processing library☆74Updated 3 months ago
- ☆36Updated 2 years ago
- ☆62Updated 6 years ago
- Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".☆27Updated 2 years ago
- A Satellite Time Series Dataset for Crop Type Identification☆215Updated 3 years ago
- 1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data☆63Updated 3 years ago
- Official implementation of "DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic c…☆67Updated 4 years ago
- Crop type mapping of small holder farms in Ghana, and South Sudan☆92Updated 3 years ago
- Code for journal paper "Deep Learning for Land Cover Change Detection".☆39Updated 5 years ago
- Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing☆23Updated 5 years ago
- A Python library for extraction water areas as shapefile extension from Sentinel 2A Satellite Images.☆10Updated 4 years ago
- Machine learning for satellite image time series☆27Updated 6 years ago
- A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction☆196Updated 4 years ago
- Land surface classification using remote sensing data with unsupervised machine learning (k-means).☆34Updated 6 years ago
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆44Updated 2 years ago
- A method to perform unsupervised cross-region adaptation of crop classifiers trained with satellite image time series.☆34Updated 3 years ago
- [RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies☆66Updated 2 years ago
- Crop classification of fields in South Africa using multispectral imagery☆18Updated 3 years ago
- remote sensing images fusion,a topic similar to super resolution☆47Updated 5 years ago
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆100Updated 2 years ago
- State-of-the-art crop type classification with Sentinel 2 imagery☆21Updated 6 years ago
- Cloud masking for Landsat-8 & Sentinel-2☆36Updated 4 years ago
- We aim to build an ML model that will predict the yield of a crop using time series analysis of remote sensing data.☆48Updated 3 years ago