cloud-masking

Export and cloud mask Google Earth Engine imagery

Python package for creating cloud-free mosaics from Sentinel-2 imagery, with flexible scene selection, multiple compositing methods, and state-of-the-art cloud masking via OmniCloudMask.

Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.

Remote sensing and spatial analysis tools for Google Earth Engine

CloudMasking is a Qgis plugin for make the masking of clouds, cloud shadow, cirrus, aerosols, ice/snow and water for Landsat (4, 5, 7, 8, 9) products using different process such as Fmask, Blue Band, Cloud QA and QA Band.

Relative radiometric normalization toolkit for raster mosaics and time series

VHR Cloud Masking

Visualize multi-spectral satellite imagery and detect clouds using simple spectral rules. Outputs include RGB, NDVI, cloud masks, and cloud-masked imagery across 5 scenes. Built with Python and Google Colab.

QGIS interface to python-fmask

A mirror of my fork of main MAJA repository on gitlab.orfeo-toolbox.org/maja/

TIFF File, GDAL, Cloud Masking, Threshold, DBSCAN

Simplifies working with the HLS - Harmonized Landsat Sentinel-2 dataset

Training, compression and measurement of the AI models that run on board Tiefer's Earth observation satellites. Every result is published with its method: measured, not claimed.

A docker for running pymasker.

Evaluate spectral index expressions over raster bands and write a Cloud Optimized GeoTIFF - safe ast-based expression evaluator, 18 built-in indices, SCL cloud masking, windowed processing

Streamlit app for Sentinel-2 spectral index time series: draw an AOI, get a cloud-masked NDVI chart, animated GIF, CSV and composite GeoTIFF

Remote sensing analysis of the Cache Slough Complex using Sentinel‑2, Google Earth Engine, and ArcGIS Pro, with seasonal NDMI maps, spectral signatures, and a final project poster.

Cloud-aware Sentinel-2 imagery enhancement and spectral analysis using Google Earth Engine.

Mask-Net is a deep learning framework for cloud masking in AVHRR Sea Surface Temperature (SST) imagery, combining spatial and channel attention through an Inter-Level Fusion Module (ILFM).

Gate AI code before release with validators, sub-agent checks, and consensus review for safer production builds