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.
remote sensing
Spatial Analysis
Using Remote Sensing to Detect Structural Changes in Bridges
Researchers are using synthetic aperture radar (SAR) collected from satellites to detect structural changes in bridges.
GIS Learning
Free Synthetic Aperture Radar Handbook Available for Download
User can download this free handbook which provides insight into how different Synthetic Aperture Radar (SAR) methodologies can be used for forest monitoring and biomass estimation.
GIS Data
This Tools Helps You Figure Out Which Satellite Bands to Use for Remote Sensing
The USGS offers the Landsat Spectral Characteristics Viewer which lets users view how different earth observation satellite instruments can be used for their remote sensing needs.
GIS Software
LandViewer Has Added New Remote Sensing and Satellite Imagery Analytics
This article by EOS, a company which creates solutions for Earth observation imagery processing and analysis, introduces a host of updated capabilities in its LandViewer tool.
Maps and Cartography
ICESat-2: Highest Resolution Laser Altimeter
ICESat-2’s purpose is to collect detailed measurements of the Earth’s surface using its Advanced Topographic Laser Altimeter System (ATLAS).
GIS Data
Mapping Where Norway is Moving
Norway is using Copernicus Sentinel-1 data to detect ground movement across the country.
GIS Data
PACE: NASA’s Earth Observation Satellite to Launch in 2022
NASA’s PACE (Plankton, Aerosol, Cloud, Ocean Ecosystem) is a planned earth observation satellite with an anticipated launch in 2022.
Spatial Analysis
Forecasting Cholera Using Remote Sensing
The NASA cholera forecasting tool effectively takes satellite observations on environmental conditions and combines the data with information on infrastructure and conditions in a country.
GIS Data
Mapping Tree Species in Amazonia Using Satellite Imagery and Machine Learning
Researchers at the University of Turku have a developed a method of modeling tree species distribution in Peruvian lowland Amazonia using satellite imagery and machine learning techniques in order to produce higher resolution habitat suitability maps.