Welcome to GERS Laboratory!
WELCOME TO THE GERS LABORATORY!
Viewing the earth from space is a breathtaking experience. In the daytime, the green and brown masses of earth blend into the deep blue ocean, covered by curling wisps of clouds. At night, the globe is peppered with constellations of golden lights. The images we take of space have more than an aesthetic value; they facilitate research about how the Earth is changing by creating the big picture we cannot get from the ground.
A central research theme of the Global Environmental Remote Sensing (GERS) laboratory is to understand how the world is changing based on quantitative remote sensing. We are interested in using a variety of remote sensing sensors, such as drones, small satellites, Landsat, Sentinel-2, MODIS, VIIRS, LIDAR, and Radar to monitor environmental change at regional to global scales.
The photos from the upper row showing the 'GERS' letters are Landsat images and the GIFs in the lower row are time series of Landsat data that illustrate the land-water dynamics, forest change, urban disturbance, and agricultural practice in the past 40 years.
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New study out today! This was a wonderful collaboration, led by @jonahbusch.
"Cost-effectiveness of natural forest regeneration and plantations for climate mitigation"
Our new paper in @NatureClimate!
“Cost-effectiveness of natural forest regeneration and plantations for climate mitigation”
We've mapped abatement cost ($/tCO2) for two common reforestation methods across 138 low- and middle-income countries...(thread)
Written to mark the 2022 fiftieth anniversary of the @USGS / @NASA #Landsat Program.
➡️Landsat Science Team review of impacts and achievements enabled by 50 years of #Landsat observations.
Wulder et al. Fifty years of Landsat science and impacts. #RSE
🔗https://www.sciencedirect.com/science/article/pii/S0034425722003054
nice introduction. Would be more helpful if you can expand on the impact of spatial autocorrelation on accuracy assessment and trend analysis, and what is the method to reduce this in these real remote sensing application.