Geospatial Information Science and Engineering (GIScE)
Area of Study for M.S., M.P.S. or Ph.D. in Environmental Resources Engineering
Geospatial Information Science and Engineering is designed for specialized study in spatial information acquisition, analysis, modeling and applications.
This includes theoretical and applied projects in sensing systems and the location, measurement, analysis and description of ground features and earth resources. It also includes use of geographic information systems (GIS) to incorporate spatial data into a wide range of environmental and engineering problems.
Program prerequisite or co-requisite courses include at least one year of physics and one engineering science course in surveying, numerical methods, or computer science.
Program mastery courses beyond the departmental requirement include at least one course (3+ credit hours) in each of these areas of competence: 1) Remote Sensing; 2) Geographic Information Systems; 3) Spatial Analysis and Programming; 4) Statistics.
Students in the MPS program will take additional coursework in at least one of these areas, MS students will take additional coursework in at least two areas, and Ph.D. students will take additional coursework in at least three of these areas.
In addition to competence areas listed above, there is flexibility for students interested in supplementary areas. For example, students in the past have expanded their knowledge in geography, ecology, forestry, systems analysis, electrical/computer engineering and mathematics. Courses from these competence areas are identified in consultation with the Major Professor and Steering Committee.
- Giorgos E. Mountrakis; email@example.com
geographic information systems, remote sensing, spatiotemporal analysis, land cover land use change, climate change, biogeography, coupled human and natural systems
- Lindi J. Quackenbush; firstname.lastname@example.org
geospatial information systems, spatial measurements, remote sensing and image processing, particularly focused on spatial techniques for both urban and forest classification, spatial analysis
- Bahram Salehi; email@example.com
Polarimetric and Interferometric SAR, Optical Remote Sensing including Nanosatellite data, UAV and Photogrammetry, Image Processing and Machine Learning of RS data. Environmental Remote Sensing (Wetland and Water bodies, Forest, Permafrost, Agriculture and other Land Cover types, Sea Ice, Oil Spill on sea and land
: National Higher School of Agro (Agronomy / Soil scie)
Previous Graduate Study: Mediterranean Agronomic Instit (Geoinformation in En)
The journey of my higher education began with agronomic studies and specialization in soil science at the "Ecole Nationale Superieure d'Agronomie" (Algeria). My interest in GIS and remote sensing applications started growing after a first exposure to precision farming concepts. My passion for technology and innovations in computer science pushed me to further explore these two disciplines. My first Master thesis focused on using SAR data to map surface soil moisture in a semiarid area in Algeria. After that, I got a full scholarship from the international center for higher agronomic studies in the Mediterranean (CIHEAM) and enrolled in the Master of Science program "Geoinformation in environmental management" at the Mediterranean Agronomic Institute in Chania (Greece). My thesis work was focused on land cover mapping in the Mitidja plain - North Algeria.
My goal here at SUNY ESF is to develop essential programming skills and a strong numeric and statistical background, necessary to address key environmental issues using remote sensing data.
" Any knowledge that doesn't lead to new questions quickly dies out: it fails to maintain the temperature required for sustaining life " ... Wislawa Szymborska
Remote sensing / GIS / data mining / land cover & land use mapping / decision support systems / soil science.
Soil resources and sustainable soil management in Algeria (representative of the Ministry of Agriculture and Rural Development) - FAO Near East & North Africa - Global Soil Partnership.
: Sabaragamuwa University of Sri (Remote Sensing)
I obtained my undergraduate degree in Sabaragamuwa University of Sri Lanka in the field of Remote Sensing. I do believe, the developments in the field of freely available Satellite images and software will ultimately benefit in a broad range of applications to tackle the most challenging environment issues. My undergraduate thesis based on building feature detection from Landsat 8 satellite image. Now I am interesting on microwave image processing. Under this wide area of research, I am more willing to focus on microwave image classification, image denoising and processing, and application of SAR images such as extract the subwater features, and deformation and subsidence monitoring.
Satellite Remote Sensing for land cover, land surface, marine and coastal applications, GIS applications and spatial modelling, Geostatistic, Spatio-Temporal analysis on earth and its environment.
: Xi'an University of Science an (Geographic Informati)
Previous Graduate Study: University of Chinese Academy (Signal and Informati)