scholarly journals Integrating Drones into a Natural-Resource Curriculum at Stephen F. Austin State University

2019 ◽  
Vol 117 (4) ◽  
pp. 398-405
Author(s):  
Daniel R Unger ◽  
David L Kulhavy ◽  
I-Kuai Hung ◽  
Yanli Zhang ◽  
Pat Stephens Williams
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Natural Resource ◽  
Geographic Information ◽  
Academic Experience ◽  
State University ◽  
Decisionmaking Process

AbstractFaculty within the Arthur Temple College of Forestry and Agriculture (ATCOFA) at Stephen F. Austin State University in Nacogdoches, Texas are integrating drone technology into their curriculum to introduce students to the use of high-end technology within a natural-resource-based decisionmaking process. Drones are currently being integrated across the curriculum within ATCOFA, including 10 geographic information systems (GIS) courses for students pursuing the B.S. in Spatial Science and within six non-GIS specific courses for students pursuing the B.S. in Forestry. Results indicate that drone technology can be an effective tool in enhancing a student’s academic experience and provides students with a skill set required for future natural-resource professionals.

scholarly journals Development and application of modern geographic information systems for monitoring the environmental status of objects

2020 ◽  
Vol 81 (4) ◽  
pp. 263-267
Author(s):  
I. A. Khaustov ◽  
S. S. Rylev ◽  
E. N. Kovaleva
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Environmental Safety ◽  
Geographic Information ◽  
State University ◽  
Information Bulletin ◽  
Environmental Objects ◽  
Environmental Status ◽  
Voronezh Region ◽  
And Control

The article presents the results of the application of geographic information systems for environmental auditing, which allows you to monitor the ecological situation on the objects, food and chemical industries and to ensure environmental safety of natural and industrial areas. The authors propose a mathematical model that performs monitoring of environmental objects. The computational experiment is performed in Matlab for classifying the soil measurement conditions. The results of the analysis and the electronic cartograms constructed on their basis are used to predict the location of the points exceeding the parasitological indices in the soil. The assessment of the condition of the soil in different districts of the Voronezh city is made with the help of the created neural networks. The results are compared with the same indicators, measured in 2017. Data is taken from the information Bulletin «Evaluation of the influence of environmental factors on the health of the population of the Voronezh region on indicators of socio-hygienic monitoring». Information was prepared by the Office of Rospotrebnadzor in the Voronezh region. A study cited in the article was conducted at the Department of information and control systems of the Voronezh state University of engineering technologies. Geographic information system was built with the help of MapInfo software product. It can be used to simulate the environmental situation and to inform about its current state with the help of cartography. Thus, the geoinformation research method reviewed in this article allows predicting the emission of harmful substances into the environment and it can be used by regulatory agencies of the state authorities to control the environmental state of the territory.

Sign in / Sign up

Export Citation Format

Share Document