NRS516: Remote Sensing in Natural Resources Mapping (Spring 2021)

Overview

Class Information and Links

Class meeting (online) time: Tu./Th. 3:00-4:50 PM
Zoom class meeting link: https://uri-edu.zoom.us/j/97892263059?pwd=T1pja2tKSXY5eG11WUtKdWMyN0I1Zz09
Brightspace link: https://brightspace.uri.edu/d2l/home/130927

About the Class

This class will focus on quantitative approaches of remote sensing in natural resources mapping. The class is organized with combinations of lectures and laboratory exercises. The specific methodologies that will be introduced include image enhancement, geometric rectification, thematic information extraction, land cover mapping, and land cover change detection and analysis. Upon finishing this class, students should have a solid training in knowledge and skills in remote sensing data processing for a variety of mapping needs in inventory, monitoring, and management of natural resources and applications.

Objectives

  • Learn to examine spectral, spatial, and temporal properties of various remote sensing data and systems
  • Explore the usage of remote sensing in environmental management and natural resource mapping
  • Develop basic skills and knowledge base for effective use of remote sensing in problem solving

Suggested Reference

  • ERDAS Field Guide(on-line with ERDAS Imagine software system)

Course Grading

  • Laboratory exercise 45%
  • Quizzes 30%
  • Reading: 5%
  • Class Project: 20%

Laboratory Exercises and Class Project

This course is structured to provide both theoretical and practical perspectives of using digital remote sensing data in natural resources mapping. The laboratory exercises are designed to allow students to have both knowledge and skills in digital image processing and in thematic information extraction.

By the end of the semester, each student is required to complete a class project under a selected topic in natural resources mapping using remote sensing data. 

Attendance Policy

Students are required to attend live online classes for lectures, lab demos, quizzes and class project presentations at the class meeting time.

About Remote Delivery of the Class

Computer access to the internet is required in order to successfully navigate this course. Zoom online meeting platform will be the facility for delivery of lectures. Class materials and activities will be managed through the Brightspace Learning Management System (LMS) platform, which is a set of web applications designed to work with modern web browsers. Recommended browsers (those with the most QA testing effort against them) are Google Chrome, Safari, and Mozilla Firefox. The mobile versions of these browsers also work well with the majority of operations in Brightspace.

About Computer/Software Needs for Hands-on Exercises 

In this remote delivery class situation, students are required to install the ERDAS Imagine (2018) software on their personal computers. Please see the instruction for software installation and activation below.

The virtual computers in the Woodward Hall Lab could be an option for anyone who might have difficulty to install the software on personal computers. Students would be assigned a virtual computer in the Woodward Lab. Please see instructions about “How to Use Webex Labs” below for reserving your assigned virtual machine in Woodward Hall Lab. Please reach out to Chandu Dondeti, Manager of CELS Computing and Information Technology, at chandu@uri.edu with the subject line “WWH Lab” if there is any question. 

URI COVID Response and Information

Please visit https://web.uri.edu/coronavirus/ for information. Please monitor emails from uricommunity@ais.uri.edu for regular updates.

Instructor: Dr. Y.Q. Wang
Office: Coastal Institute Building – Kingston, Room 027
Phone: (401) 874-4345
Email: yqwang@uri.edu 
URL: https://web.uri.edu/ltrs/teaching-and-experimental-learning/ 

Please follow this instruction for downloading  and installation of the software.