Arturo Sanchez-Azofeifa
Contact
Professor, Faculty of Science - Earth & Atmospheric Sciences Admin
- gasanche@ualberta.ca
- Phone
- (780) 492-1822
- Address
-
2-065 Centennial Ctr For Interdisciplinary SCS II
11335 Saskatchewan Drive NWEdmonton ABT6G 2H5
Overview
Research
Research area
Remote sensing of tropical dry forest environments. His current research is conducted in Costa Rica and Panama.
Research interest
Dr. Sanchez-Azofeifa research efforts focus on understanding how tropical dry forests ecosystems respond to climate change. He is interested on exploring linkages between environmental change and tropical dry forest productivity, phenology, carbon and water fluxes, spatio-temporal changes on Leaf Area Index (LAI), and Photosynthetically Active Radiation (PAR) measured advanced wireless sensor networks. His work also explores linkages between the different biophysical variables mentioned above and remote sensing observations (drone, airborne and space-borne), specifically he is interested on linkages between LiDAR and hyperspectral remote sensing. His research is deeply rooted in the new fourth emerging paradigm in Science (denominated eScience), in which new scientific discoveries are driven by intensive data exploration generated either from sensor networks and mathematical simulation.
Courses
EAS 351 - Environmental Applications of Geographical Information Systems
This course emphasizes the applications of Geographic Information Systems (GIS) to the environmental sciences. Examples from resource management and the earth and biological sciences are discussed. Labs impart technical experience with ARCINFO. Prerequisites: EAS 221 and one of MATH 113, 114, STAT 141, 151, SCI 151, or permission of the instructor. [Faculty of Science]
EAS 451 - Digital Remote Sensing
This course introduces the interactions of electromagnetic radiation with terrestrial materials (rocks, soils, water, snow). These notions are fundamental for the interpretation of optical, thermal, and radar remote sensing imagery. Labs focus on image processing with emphasis on radiometric and geometric enhancements and image classification. The course covers existing and upcoming sensors and applications of the data to earth sciences including geologic and land use mapping and resource exploration. Prerequisite: EAS 221. [Faculty of Science]