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.
Scientists and researchers are increasingly using remote sensing methods to map and track invasive species.
Recent studies have shown how GIS and remote-sensing applications could help to assess and map landscape suitability for bees.
Automating the generation of land cover maps from satellite imagery is becoming easier due to learning-based algorithms improving the understanding of signal data.
Normalized difference vegetation index (NDVI) is a remote sensing technique that uses measurement of vegetation signatures to measure vegetation types and growth.
Remote sensing can be used to assess soil moisture across a region. Learn more about two methods NASA has used to map out soil moisture in Ethiopia.
Most imagery for use in GIS projects consist of satellite images or aerial photographs but it can also include, thermal images, digital elevation models (DEMs), scanned maps and land classification maps. This article examines imagery and how to effectively gather, store, process and interpret it for a variety of different GIS projects.