Screenshot of a land cover classification map in ArcGIS Pro.

Using Deep Learning to Map Land Cover in ArcGIS Pro

Jeff Oppong

This GIS tutorial provides step-by-step instructions on how to use deep learning models and Landsat 8 satellite imagery in ArcGIS to classify land cover.

A four-paneled diagram showing a vertical slice of a satellite imagery with forest damage, a second panel with land use change, a third panel symbolized to show the date of changes, and the fourth panel shows the magnitude of the change.

Mapping Long-term Land Use Change with Remote Sensing Data

Mark Altaweel

The USGS’ Land Change Monitoring, Assessment, and Projection (LCMAP) initiative is helping to better monitor the Earth and long-term land use change.

Map showing Rhode Island. Areas in red have a high GEMI index.

How to use ArcGIS Pro and Landsat 8 Imagery to Calculate Chlorophyll Index and Global Environmental Monitoring Index

Jeff Oppong

Tutorial on how to use ArcGIS Pro to determine the Chlorophyll Index (CI) and the Global Environmental Monitoring Index (GEMI) of Landsat 8 imagery in an area of interest.

A shaded orange map showing areas of the United States with higher than normal carbon dioxide in the atmosphere.

Remote Sensing for Carbon Offsetting

Mark Altaweel

Remote sensing and geospatial technologies are being harnessed for carbon offsetting efforts.

A simple map of the world showing average lake evaporation rate around the world with a shading scale from blue and green for low evaporation and orange and red for high rates of evaporation.

The Global Evaporation of Lakes

Mark Altaweel

Using satellite imagery and modeling, new research highlights evaporation volume across natural and artificial lakes in more than 1.42 million lakes.

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