Mapping Oil Slicks With Satellite Imagery
Sentinel-1 synthetic aperture radar (SAR) satellite photography has been used in new study to map oil slicks.
The spatial analysis category looks at data manipulation techniques in GIS.
Sentinel-1 synthetic aperture radar (SAR) satellite photography has been used in new study to map oil slicks.
Academics are increasingly adopting machine learning maps to better understand what can happen for a range of environmental events.
Researchers have developed a high resolution flood map for the United States.
Using arrays of underwater microphones, called hydrophones, scientists can use sound to create images of the environment by converting sound waves to electrical signals.Â
New methods can detect location names from historical maps, make them searchable, and allow for the automated extraction of geographic data from those maps.
This lesson demonstrates how to use spatial data science and remote sensing techniques in ArcGIS Pro to predict soil erosion from a catchment using the Universal Soil Loss Equation (USLE).
Satellites and remote sensing tools are providing a way to better forecast and determine the severity of lightning.
Tutorial showing how to map fire risk for a region with slope, elevation, aspect, and land use data in ArcGIS Pro.
Remote sensing techniques, particularly those based on satellite, drone, and aircraft data, have revolutionized collecting ecosystem data.
This tutorial demonstrates a shoreline extraction strategy in ArcGIS Pro by explaning  how to use the Tasseled Cap and Normalized Difference Vegetation Index (NDVI) to automatically delineate shoreline using the Landsat toolkit.
Using this tutorial, ArcGIS Pro users will learn how to do a site selection analysis, which includes analyzing travel times and accessibility to a location via various modes of transportation.
Mapping and understanding food deserts is important if we are to understand how best to tackle the lack of healthy food options in the United States.