Remote sensing of tropical dry forest environments. His current research is conducted in Costa Rica and Panama.
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.
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]
Fall Term 2021Intensive field or practical study in EAS, typically as part of a team working off-campus. Details and areas of study may vary from year to year; consult the department about current offerings, fees and timing. Prerequisite: Any 300-level EAS course and permission of the department. [Faculty of Science] Requires payment of additional student instructional support fees. Refer to the Tuition and Fees page in the University Regulations section of the Calendar.
Winter Term 2022This 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]
Fall Term 2021Introduces 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. Covers existing and upcoming sensors and applications of the data to earth sciences including geologic and land use mapping and resource exploration. Prerequisites: EAS 220 and 221. Classes concurrent with EAS 451. Not available to students with credit in EAS 451. [Faculty of Science]
Fall Term 2021