Remote Sensing Applications in Irrigation

External URL: https://edx.hydrolearn.org/courses/course-v1:USU-UHM+CEE5003-CEE6003-CEE696+2022-T1/about

This HydroLearn module will introduce students to available remote sensing information and characteristics and how this information is used to respond to questions on water use, crop health, and production. This class uses online resources, so students do not need to install software but are ...

Remote Sensing Applications in Irrigation USU-UHM Enroll Now Problem Statement The overall objective of this module is to introduce concepts of remote sensing information that relates to crop conditions (water, health), important for irrigation and agriculture. Module Overview Remote sensing information is becoming commonplace in several aspects of human activity. Agriculture is not strange to it. In fact, there is a growing community of researchers and commercial groups aiming to respond to questions regarding crop production, water needs, and future scenarios for agriculture across the globe. This module introduces students to the different remote sensing technologies and existing applications of this information to agriculture. The different learning activities will show the student concepts, applications, and interpretations of remote sensing data in farming. The analysis is done at the farm scale. The learning activities guide students to access remote sensing information, process it, and interpret it based on physiological aspects of plant growth. Students will interpret variability of farm Topics Covered How Remote Sensing applies to agriculture and irrigation Charcaterization of Irrigated and Non-Irrigated Lands Use of Remotely Sensed Data for Quantifying Irrigation Water Prerequisites This module does not have pre requisites, but students are strongly recomended to follow up this module with HydroLearn "Evapotranspiration" module. Learning Objectives At the end of this module, students will be able to: retrieve remote sensing information from different satellites, perform analysis and relate resulting information with occurring agriculture and irrigation conditions This will be accomplished through activities within each section. Results from each activity will be recorded in specified results templates. The results templates for each activity can be found at the beginning of each activity. The results templates are organized such that results from one activity can easily be used in successive activities." Course Authors Karem Meza-Capcha karem.meza@usu.edu Sayed M. Bateni Professor, University of Hawaii smbateni@hawaii.edu Alfonso Torres-Rua alfonso.torres@usu.edu Solution Keys Please, contact Karem Meza-Capcha for solution keys for the learning activities embedded in the module. Completed results templates for each learning activity are available and can be requested from the course authors. Target Audience Junior/Senior Irrigation and Water Resources Engineering Courses Tools Needed Computer with access to Internet, Excel. Expected Effort The module developers estimate that this module will take between 18 to 20 hours to complete. Course Sharing and Adaptation This course is available for export by clicking the "Export Link" at the top right of this page. If you are an Instructor seeking the answer keys, please contact the course creators using your official University email account. Make sure you cite the source of your new course (e.g., this course was adapted from --Include your course name here--). You can include this citation on an "Adaptation Page" of your new course, in your course card, or in the introduction section of your new course. Recommended Citation Capcha-Meza, K., Bateni, S., Torres-Rua, A. (2021) Remote Sensing Applications in Irrigation. HydroLearn. https://edx.hydrolearn.org/courses/course-v1:USU-UHM+CEE5003-CEE6003-CEE696+2022-T1/course/about.