After more than 15 years of research and writing, Emeritus Professor Samuel Goward, Adjunct Professor Darrel L. Williams and Alumnus Jim Irons and others from the Landsat Legacy Project Team are publishing their long- awaited book on the nearly half-century of monitoring the Earth’s lands with Landsat.
Born of technologies that evolved from the Second World War, Landsat not only pioneered global land monitoring but in
the process drove innovation in digital imaging technologies and encouraged development of global imagery archives.
An international team of authors including UMD Department of Geographical Sciences researchers Louise Chini, Fernando Sedano, Ritvik Sahajpal, Matt Hansen, and George Hurtt, recently published an article titled "A global view of shifting cultivation: Recent, current, and future extent" in the open source journal PLOS One. This article is a first attempt at mapping extent of shifting cultivation landscapes globally until the end of the 21st century.
Using climate and vegetation models, researchers and predict that if humans adopt the strict climate mitigation strategies under Representative Concentration Pathway (RCP) 2.6, wetland methane (CH4) emissions may still overtake anthropogenic methane emissions during the mid-21st century due to climate change-induced increases in the extent of boreal wetlands and in temperature-driven tropical methane emissions, highlighting the need to consider wetland methane feedbacks to climate forcing in mitigation policies.
The Center for Geospatial Information Science (CGIS) at the University of Maryland is pleased to announce the launch of a Master of Professional Studies in Geospatial Intelligence (MPS GEOINT). The Geospatial Intelligence program provides workforce-focused technical training that gives graduates the skills and expertise to lead new initiatives in the rapidly shifting landscape of GEOINT applications, data collection systems, analytic methods, and mission support.
A new integrated computational model reduces uncertainty in climate predictions by bridging Earth systems with energy and economic models and large-scale human impact data. Led by Oak Ridge National Laboratory (ORNL), a large interdisciplinary team of scientists from multiple institutions, including the University of Maryland, developed the integrated Earth Systems Model, or iESM.
Could cellulosic biofuels – or liquid energy derived from grasses and wood – become a green fuel of the future, providing an environmentally sustainable way of meeting energy needs? Scientists from several institutions, including the University of Maryland, say yes, but with a few important caveats.
A research team at the U.S. Department of Energy-funded Great Lakes Bioenergy Research Center (GLBRC) spent the past ten years studying the potential impact of cellulosic biofuels.
Worldwide, more and more countries are strategically investing to extend their natural resource base beyond their borders, frequently into developing countries. New research from the University of Maryland (UMD) finds this global trend could put already-vulnerable populations at higher risk for undernourishment and food insecurity.
College Park, Md.—New research led by the University of Maryland (UMD) Department of Geographical Sciences employs satellite image time series to better understand the dynamics of forest cover loss in the Brazilian Amazon. While rates of deforestation in the country have slowed significantly over the last decade, Brazil remains the single largest contributor to natural forest loss among tropical countries.
Researchers Katharina Brinck, Rico Fischer, Jürgen Groeneveld, Sebastian Lehmann, Mateus Dantas De Paula, Sandro Pütz, Joseph O. Sexton, Danxia Song & Andreas Huth recently published their article titled "High resolution analysis of tropical forest fragmentation and its impact on the global carbon cycle" in the esteemed Nature Communications. This recent publication describes how deforestation in the tropics is not only responsible for direct carbon emissions but also extends the forest edge wherein trees suffer increased mortality.