Story maps are a powerful tool that tell events and what has happened to those who are displaced.
Mark Altaweel
Maps and Cartography
Analyzing the Benefits of Green Space on Mental Health Using GIS
A recent large-scale study in Denmark combined historical Landsat satellite data and a survey that recorded mental health benefits to respondents to analyze the relationship between green space and mental health.
GIS Data
Changes to the National Land Cover Database
The National Land Cover Database is a GIS dataset that is seen as critical for monitoring the impact of fires, particularly increased wildfires in the West, general health of ecosystems, biodiversity monitoring, and increasing effects of climate change on land cover.
Maps and Cartography
Gini Coefficient and GIS: Mapping Income Disparities
The Gini coefficient is a long-standing measure used by major organizations, such as the UN and government entities, to measure disparities between income and wealth in countries.
GIS Data
GIS and the US 2020 Census
The 2020 Census promises to be the most technically advanced census undertaken, where data, for the first time, will be mostly collected online.
Spatial Analysis
Mapping Migration Based on Search Data
Researchers have create ways to map migration based on online searches of migrants as they prepare to leave their country of origin.
Maps and Cartography
Real-time Fire Mapping and Satellite Data
New satellites and improved image processing methods are better enabling the ability to provide real-time and near real-time mapping of wildfires.
GIS Data
First Data from NASA’s GEDI Program to 3D Map Forests
The first set of data that have returned have demonstrated GEDI is able to measure density of forests far better than previous satellite missions.
GIS Industry
GIS and Blockchain
For Earth observation and GIS technologies, researchers have only recently begun contemplating what might be useful in applying blockchain technologies.
GIS Data
Mapping Land Cover by Stacking Landsat Imagery
Landsat 8 is offered as free, open data, which has led to new innovation in methods to better utilize such data for time series and complex scenes that are sometimes obstructed by clouds or dust.