I'm a Senior Faculty Specialist at the Global Land Analysis and Discovery (GLAD) laboratory in the Department of Geographical Sciences at the University of Maryland. My research interests include using Deep learning and Lidar data for ecological, soundscape, biodiversity and land cover/land use change monitoring applications. I am also interested in the use of remote sensing techniques to track and analyze landscape transformations and patterns. 

Right now I'm working on:

  • Conducting research for GLAD on land-cover change with a special focus on forest cover and agricultural land cover at a global scale utilizing remote sensing.
  • Comparing the performance of Landsat combined with GEDI for tree height estimation between 2019-present.
  • Developing new analytical approaches for extracting information and new applications for existing systems.
  • Leading Deep learning initiates on agriculture and urbanization; implement different architectures of Deep learning and features using GPUs.
  • Testing performance of Landsat and G-LIHT  data for measuring continuous changes in tree height and tree cover, using regression tree models to estimate tree height and tree cover from 1985 to 2019.
  • Collecting Lidar-RIEGL data by flying an M600  drone in various agricultural and primary forest locations (e.g. Congo, US) to quantify the area respective biomass and tree height
  • Assisting capacity building projects in Latin America to help derive national scale forest loss estimates.
  • Participating in field work to examine expansion of soybean cultivated area in Brazil, Argentina, Bolivia, Paraguay,Uruguay and US.

Areas of Interest

  • Land Cover Mapping, Deep Learning, Data Fusion, Soundscape, Ecology, Lidar

Degrees

  • Degree Type
    BS.
    Degree Details
    Biology
  • Degree Type
    MS.
    Degree Details
    Ecology and Evolution
Andres
4th Floor Hartwick Building, 4321 Hartwick Road, College Park
Department of Geographical Sciences
Email
andreshs [at] umd.edu