11 MAY 2021 (TUE) 09:30-10:15

Characterizing land-cover change to understand increasing human impacts on the Earth system

Via Zoom


Dr. Xiaopeng Song Assistant Professor, Department of Geosciences, Texas Tech University

About the Speaker:

Dr. Xiaopeng Song is an Assistant Professor in the Department of Geosciences at Texas Tech University. His main areas of interest are remote sensing, land cover and land use change, food security and conservation studies. A common goal of his research is to apply emerging geospatial data and technologies to address global change issues in support of environmental sustainability. His work has been published in leading journals such as Nature, Nature Climate Change, PNAS and Remote Sensing of Environment. His current research is funded by the NASA Land Cover/Land Use Change Program, the NASA Harvest Program, and the USGS Landsat Science Team. Xiaopeng received his B.S. in Geographic Information Science from Peking University in 2008 and his Ph.D. in Geographical Sciences from the University of Maryland College Park in 2015. His Ph.D. research was supported by the NASA Earth and Space Science Fellowship Program.


Abstract:

Meeting our increasing demand for food, water, and natural resources requires the transformation and appropriation of natural ecosystems through land-cover and land-use change. Land transformation represents the most significant of anthropogenic impacts on the environment, with implications for ecosystem functioning, biogeochemical cycles, and sustainable development. Our improved ability to monitor changes on the Earth’s surface via satellite-based Earth observations is timely given increasing rates of human-induced environmental change. The seminar will present several recent studies focusing on characterizing changes in the world’s forests, croplands and cities from local to global scales. These novel applications are enabled by an increasing amount of open satellite data as well as the proliferation of aerial imagery, field observations, and other geospatial and non-geospatial datasets.


All are welcome!


Registration: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=74637

Zoom link will be provided upon successful registration.


For Enquiry, please email to geog.event@hku.hk.