Tools tagged with "Remote Sensing"

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.

Explores the principles and applications of digital elevation models and related technologies.

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

Learn scientific programming, reproducible open science workflows and data science today.

MetEd provides thousands of free education and training resources for the weather and geosciences community.

This tool generates playable Minecraft worlds directly from real-world geographical locations.

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.

A comprehensive, self-paced training manual for learning the QGIS desktop geographic information system.

A comprehensive collection of tutorials for working with geospatial raster and vector data using GDAL.

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

Ground Station is an all-in-one, open-source software suite for satellite tracking and radio communication.

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

GPU-accelerated 3D terrain rendering for Python, built in Rust with WebGPU.

A comprehensive guide to performing spatial analysis and GIS operations using the R programming language.

A comprehensive guide to the foundational principles and practical applications of Geographic Information Systems.

A practical guide to mastering GIS programming using Python and open-source geospatial tools.

Learn spatial data analysis and GIS fundamentals using the R programming language.

Elevate data storytelling skills through interactive, geospatial, and narrative data visualization techniques.

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

Dive into geostatistics with practical skills in spatial data analysis and modeling.

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.

This collection provides remote sensing data and tools for monitoring snow and ice changes across the High Mountain Asia region.

A blog providing updates and technical insights related to geospatial code and news.

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

A coordinated effort to simplify browser-based data visualization in Python.

Learn to process and visualize point cloud data efficiently using QGIS's native tools and the powerful PDAL wrench.

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.