Near Real Time monitoring of satellite image time-series
☆79Jul 21, 2025Updated 7 months ago
Alternatives and similar repositories for nrt
Users that are interested in nrt are comparing it to the libraries listed below
Sorting:
- Library for smoothing satellite signals☆23Oct 6, 2023Updated 2 years ago
- cedar - Create Earth engine Datacubes of Analytical Readiness☆11Aug 26, 2019Updated 6 years ago
- Tool to compare the outputs of the LandTrendr and CCDC algorithms for a single Landsat pixel☆20Jul 7, 2021Updated 4 years ago
- stactools package for working with sentinel1 data☆31May 13, 2025Updated 10 months ago
- Experimental: connect ChatGPT to a STAC API backend☆53Apr 18, 2023Updated 2 years ago
- Set of tools to apply the probabilistic approach of Reiche et al. (2015, 2018) to combine multiple optical and/or Radar satellite time se…☆28Feb 1, 2022Updated 4 years ago
- Time series Fusion toolbox integrated with openEO☆30Feb 11, 2026Updated last month
- Definition of the Equi7Grid - a spatial reference optimized for global high-resolution raster data.☆82Mar 13, 2026Updated last week
- The main goal of Sen2Like is to generate Sentinel-2 like harmonised/fused surface reflectances with higher periodicity by integrating add…☆97Mar 12, 2026Updated last week
- A Python package for simple STAC queries☆68Aug 7, 2022Updated 3 years ago
- Radar Deforestation detection system based on Google Earth Engine☆15Oct 12, 2022Updated 3 years ago
- Turn xarray timestacks into GIFs☆100Jan 24, 2025Updated last year
- On-Demand Earth System Data Cubes (ESDCs) in Python☆202Feb 12, 2026Updated last month
- Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.☆162Feb 6, 2026Updated last month
- Sentinel-1 & Sentinel-2 data cubes at large scale (bigger-than-memory) on any machine with integrated cloud detection, snow masking, harm…☆136Dec 8, 2025Updated 3 months ago
- A multivariate algorithm to detect breakpoints using multispectral time series.☆13Sep 19, 2024Updated last year
- ☆16Nov 22, 2021Updated 4 years ago
- Time Series Metrics☆26Jun 1, 2024Updated last year
- Turn a STAC catalog into a dask-based xarray☆265Aug 10, 2024Updated last year
- Rasterio plugin for identifying clouds in multi-spectral satellite imagery☆54Mar 24, 2023Updated 2 years ago
- ☆23Aug 21, 2025Updated 6 months ago
- A Python interface between Earth Engine and xarray for processing time series data☆214Aug 23, 2025Updated 6 months ago
- Vector data cubes for Xarray☆132Feb 19, 2026Updated last month
- Image segmentations of trees outside forest☆175Dec 8, 2025Updated 3 months ago
- Nadir BRDF Adjusted Reflectance (NBAR) for Sentinel-2 in Python☆59Jun 23, 2024Updated last year
- Fire Weather Index Calculation Based on Google Earth Engine☆17Aug 16, 2021Updated 4 years ago
- Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.☆93Aug 12, 2025Updated 7 months ago
- Best Available Pixel (BAP) composite in Google Earth Engine (GEE) using the Python API☆86May 30, 2024Updated last year
- Repository of the VegAnn Dataset☆24Oct 25, 2024Updated last year
- Easy access to administrative boundary data with python☆17Oct 4, 2022Updated 3 years ago
- Best Available Pixel calculation using Google Earth Engine☆61Nov 23, 2023Updated 2 years ago
- Create STAC item from raster datasets☆91Nov 12, 2025Updated 4 months ago
- rastercube is a python library for big data analysis of georeferenced time series data (e.g. MODIS NDVI)☆19Jul 27, 2017Updated 8 years ago
- Earth Search information and issue tracking☆41May 22, 2025Updated 9 months ago
- Intake interface to STAC data catalogs☆112Mar 9, 2026Updated last week
- High-level functionality for the inventory, download and pre-processing of Sentinel-1 data in the python language.☆243Feb 4, 2026Updated last month
- A ninja python package that unifies the Google Earth Engine ecosystem.☆66Mar 9, 2026Updated last week
- wrapper for ipyvuetify widgets to unify the display of voila dashboards in the SEPAL plateform☆13Mar 11, 2026Updated last week
- Detecting and segmenting destructive anomalies in farmland from satellite images, improving time, efficiency, and crop yield.☆10May 24, 2021Updated 4 years ago