Tools tagged with "Data-fusion"

EarthEnv-DEM90 provides a nearly-global, void-free, 90m digital elevation model derived from fused ASTER and SRTM data. It offers continuous coverage for approximately 91% of the globe, supporting assessments of biodiversity, ecosystems, and climate.

The Hand-in-Hand (HiH) Geospatial Platform is an enabling tool for the HiH Initiative, offering over 2 million data layers for targeted, evidence-based interventions. This Digital Public Good provides open-access geographic information, key food security indicators, and agricultural statistics from FAO and external organizations like NGOs, academia, and space agencies.

AnytimeFormer is a deep learning model designed to reconstruct land surface reflectance at any given time by effectively fusing irregular and asynchronous Synthetic Aperture Radar (SAR) and optical time series data. It addresses the challenge of combining diverse satellite data streams to provide continuous, high-quality environmental monitoring. The project offers a robust solution for generating comprehensive reflectance products from disparate remote sensing observations.

SatPM2.5 provides comprehensive estimates of fine particulate matter (PM2.5) concentrations by integrating aerosol optical depth from multiple satellites (MODIS, VIIRS, MISR, SeaWiFS) with simulation models (GEOS-Chem) and ground-based measurements. This geophysical estimate is further refined through statistical fusion with direct PM2.5 measurements to explain most of the variance observed. The dataset is updated yearly and is available under a Creative Commons Attribution 4.0 International license.

Sentle is an open-source Python package designed for downloading and processing Sentinel-1 and Sentinel-2 satellite data cubes at a large scale, even exceeding memory limits. It provides functionalities for cloud detection, snow masking, data harmonization, merging, and generating temporal composites from the imagery. The tool aims to simplify the complex workflow of preparing satellite data for analysis across diverse applications.

This repository provides an ensemble of AI models, known as SpeciesNet, developed by Google to classify wildlife in camera trap images. It combines an object detector (MegaDetector) to find objects of interest and an image classifier to identify species, significantly accelerating wildlife monitoring efforts. These models are utilized within the Wildlife Insights platform.

This official German government portal offers a centralized platform for discovering and utilizing geospatial information from various federal and state authorities. It provides interactive map views, diverse base layers, and advanced tools for data analysis and visualization. Users can explore a wide range of topics and integrate their own WMS services.

BlackSky operates a proprietary constellation of high-resolution Earth observation satellites. The company provides rapid-revisit imagery and an AI-powered geospatial intelligence platform. This platform fuses satellite data with other sources to deliver actionable insights for critical defense, intelligence, and commercial applications, enabling monitoring of global events and locations.

Satpy is an open-source Python library designed for reading, processing, and visualizing data from various earth-observing satellites. It provides a flexible framework for handling different satellite instruments, enabling users to generate composites, apply atmospheric corrections, and perform re-sampling operations. This tool is invaluable for researchers and developers working with meteorological and environmental satellite imagery.

This dataset combines airborne lidar and Landsat satellite data to map vegetation structure in Mexican ecosystems. It includes lidar-derived canopy height values and Landsat-derived vegetation indices for 499,925 sample points across 1,105 aerial images, enabling fine-resolution ecological restoration monitoring.

H3 is a discrete global grid system, developed at Uber, designed for indexing geographies into a hexagonal grid. It enables efficient joining and aggregation of disparate datasets at various precision levels. The system supports a range of algorithms and optimizations for grid-based geospatial operations.

Placekey is a universal place identifier trusted by organizations, businesses, and geospatial scientists to easily represent and unify location data. It is built with developers in mind to facilitate the joining and combining of geospatial data from diverse sources, leading to more comprehensive insights.

Loop is an open-source platform for 3D probabilistic geological and geophysical modelling. Initiated by Geoscience Australia and OneGeology, it is funded by various Australian geological surveys, the Australian Research Council, and the MinEx CRC, supporting advanced subsurface analysis.

This three-week course introduces Geographical Information Systems (GIS) and their applications in generating Geospatial Intelligence (GEOINT) using ArcGIS Pro Desktop software. It covers fundamental GIS concepts, data types, data engineering, advanced analytical techniques, and cartography. Participants will learn to create, manage, analyze, and visualize geospatial data to support decision-making processes.

Cartographer is an open-source software system designed to provide robust real-time simultaneous localization and mapping (SLAM) capabilities. It supports both 2D and 3D environments, enabling precise navigation and mapping across various platforms and sensor configurations. This system is crucial for applications requiring accurate self-localization and environmental modeling.

The 3MSI Lab specializes in 3-D modeling, sensing, and data intelligence, with a particular focus on remote sensing of terrestrial and urban vegetation. It develops advanced algorithms that fuse photogrammetry and LiDAR technologies to retrieve detailed forest canopy structure and monitor vegetation phenology. The lab actively publishes research and releases valuable data products.

S1Tiling is an open-source software project hosted on GitLab, designed for the automatic ortho-rectification of Sentinel-1 Synthetic Aperture Radar (SAR) data. It processes this data to align with the Sentinel-2 tiling grid, making it suitable for integration with optical imagery analysis. The tool aims to simplify the preparation of Sentinel-1 data for various geospatial applications.

libpointmatcher is a robust and modular C++ library designed for aligning point clouds using the Iterative Closest Point (ICP) algorithm. It provides essential functionalities for 2D and 3D mapping tasks, making it highly valuable for applications in robotics and computer vision. The library also offers convenient Python bindings for broader accessibility.

Kepler.gl is an advanced web application designed for geospatial data visualization and analysis. It leverages WebGL to provide high-performance rendering capabilities for large datasets. This tool enables users to create compelling and interactive maps, supporting various data types and analytic visualizations.

This GitHub repository provides a comprehensive collection of resources focused on the intersection of mineral exploration and machine learning. It features useful code examples, libraries, and tools to assist practitioners and researchers in applying advanced analytical methods to geological data. The repository serves as a valuable hub for discovering practical applications and learning materials in this specialized field.