Tools tagged with "Hyperspectral"

The Airborne Visible Infrared Imaging Spectrometer (AVIRIS) is a NASA JPL instrument designed to collect hyperspectral imagery of Earth's surface. It plays a crucial role in various scientific research missions, monitoring environmental impacts, natural hazards, and ecological changes across diverse landscapes. The project offers access to collected data, flight planning information, and research publications.

"Minds Behind Maps" is a podcast featuring conversations with individuals who build and utilize maps in various fields. It explores how maps are created and applied across different industries, from data science to video production. The show delves into the techniques and stories behind geospatial data and visualization.

This resource provides a structured introduction to GIS programming, guiding users through software setup, Python fundamentals, and key geospatial libraries. It covers essential tools for data analysis, visualization, and cloud computing in a geospatial context, making complex topics accessible for learners.

HyperCoast is a Python package designed for working with hyperspectral data, specifically focusing on coastal environments. It provides tools for both visualizing and analyzing this complex type of geospatial imagery. The package aims to facilitate research and applications related to coastal zone monitoring and environmental assessment.

Planet Labs provides daily satellite imagery and Earth data analytics. Its insights empower global decisions and actions with a multidimensional view of our changing planet, offering comprehensive monitoring and tasking solutions.

This blog provides benchmarks and tips for working with big data, cloud platforms, and various geospatial datasets. It features in-depth analyses of large-scale open data, satellite imagery, and GIS software applications. The content covers a range of topics from data center locations to global building footprints and advanced imagery processing.

The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission. It focuses on monitoring and characterizing Earth's environment globally by measuring geochemical, biochemical, and biophysical variables. The mission provides crucial information on the status and evolution of various terrestrial and aquatic ecosystems.

Bhuvan is a comprehensive geospatial portal from the National Remote Sensing Centre (NRSC), offering open access to Earth Observation data. It provides a wide array of free GIS data products such as orthoimagery, Digital Elevation Models (DEM), and satellite imagery from various Indian sensors like AWiFS, LISSIII, and HySI. Users can download these datasets for diverse applications and explore web mapping tools within the platform.

This record serves as a portal to an extensive aerial laser scanning (ALS) and photogrammetry dataset covering approximately 1.0 km² in Sunset Park, Brooklyn, NY. The data was captured in April 2019, providing detailed representations of the urban environment. It includes LiDAR point clouds, full waveform files, and RGBI Nadir imagery for various research and practical applications.

LIDAR Magazine is a dedicated online publication offering current news and insights into the rapidly evolving world of LiDAR technology and its applications. It covers industry developments, company partnerships, and technological advancements in geospatial data acquisition and analysis. The platform serves as a key resource for professionals seeking updates on remote sensing, photogrammetry, and related mapping solutions.