Tools tagged with "Imagery"

This book provides a comprehensive guide to the physics, sensors, and algorithms of hyperspectral imaging in remote sensing.

This tool identifies and maps environmental change and disturbance events using satellite imagery.

Unified agricultural field boundary delineation from satellite imagery using geospatial foundation models, pre-trained segmentation, and embeddings.

Learn to process drone imagery with WebODM, generating geospatial products like orthophotos and 3D models.

Explore the tools, concepts, and terminology of spatial analysis and modeling to map your world with GIS.

A practical guide to integrating artificial intelligence and machine learning with open-source geospatial tools using Python.

This textbook offers a comprehensive guide to the fundamental principles and diverse applications of remote sensing.

A lightweight GeoTIFF viewer for quick visualization directly from the command line.

A unified Python toolkit for obtaining embeddings from any Remote Sensing Foundation Model with a single line of code.

This book introduces `sits`, an open-source R package for analyzing big Earth observation data using satellite image time series and data cubes.

Master remote sensing image acquisition, analysis, and applications, from fundamentals to deep learning techniques.

A Python library for high-accuracy water segmentation in satellite and aerial imagery using deep learning and spectral indices.

A practical guide to applying remote sensing methodologies for agricultural statistics and land use mapping.

A foundation model for processing time-series satellite imagery to extract temporal patterns for Earth observation.

GoldenEye provides a unified interface for geospatial vision-language models, enabling rapid deployment with minimal code.

A fast and scalable Python library for raster-based spatial analytics.

A data-oriented pansharpening model designed to enhance the spatial resolution of satellite imagery through image fusion.

Transforming Earth Observation Data into Insights for Africa's Sustainable Growth.

A map-first STAC search and visualization tool, offering robust support for stac-geoparquet data.

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

A Python package that extends Google Earth Engine with pre-processing and processing tools for satellite platforms.

This open-source 3D tool generates Digital Surface Models from satellite imagery using advanced photogrammetry techniques.

A structured introduction to XArray, STAC, and Dask for cloud-based remote sensing applications.

A free, user-friendly, and extendable application for processing drone imagery into maps, 3D models, and more.

This course provides essential Machine Learning skills tailored for Earth Observation research.

A Python library for reading, writing, displaying, and processing complex SAR data using the NGA SICD standard.

A unified API and command-line tool for searching, aggregating, and downloading Earth Observation data from various providers.

A community-sourced repository providing standardized, machine-learning-ready imagery and annotations for coral reef conservation.

An end-to-end pipeline for generating cloud-free Sentinel-2 satellite imagery mosaics over extensive geographical regions.

An introductory textbook covering fundamental concepts and applications of remote sensing.

A global, temporal dataset tracking solar and wind energy installations using satellite imagery and deep learning.

A platform for discovering and accessing global geospatial data.

Provides free online courses focused on Earth Observation, remote sensing, and geospatial applications.

A powerful Python package for integrating artificial intelligence with geospatial data analysis and visualization.

A standard for curating, sharing, and combining large-scale Earth Observation datasets for AI and ML.

The Planet Education and Research Program offers university-affiliated students and researchers limited, non-commercial access to PlanetScope and RapidEye imagery.