Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science
This article presents an online teaching tool that introduces students to basic concepts of remote sensing and its applications in hydrology. The learning module is intended for junior/senior undergraduate students or junior graduate students with no (or little) prior experience in remote sensing, b...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/12/18/3009 |
| _version_ | 1797553589053292544 |
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| author | Viviana Maggioni Manuela Girotto Emad Habib Melissa A. Gallagher |
| author_facet | Viviana Maggioni Manuela Girotto Emad Habib Melissa A. Gallagher |
| author_sort | Viviana Maggioni |
| collection | DOAJ |
| description | This article presents an online teaching tool that introduces students to basic concepts of remote sensing and its applications in hydrology. The learning module is intended for junior/senior undergraduate students or junior graduate students with no (or little) prior experience in remote sensing, but with some basic background of environmental science, hydrology, statistics, and programming. This e-learning environment offers background content on the fundamentals of remote sensing, but also integrates a set of existing online tools for visualization and analysis of satellite observations. Specifically, students are introduced to a variety of satellite products and techniques that can be used to monitor and analyze changes in the hydrological cycle. At completion of the module, students are able to visualize remote sensing data (both in terms of time series and spatial maps), detect temporal trends, interpret satellite images, and assess errors and uncertainties in a remote sensing product. Students are given the opportunity to check their understanding as they progress through the module and also tackle complex real-life problems using remote sensing observations that professionals and scientists commonly use in practice. The learning tool is implemented in HydroLearn, an open-source, online platform for instructors to find and share learning modules and collaborate on developing teaching resources in hydrology and water resources. |
| first_indexed | 2024-03-10T16:18:37Z |
| format | Article |
| id | doaj.art-769643a429dc4d3c8d5f682f59c953da |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T16:18:37Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-769643a429dc4d3c8d5f682f59c953da2023-11-20T13:52:36ZengMDPI AGRemote Sensing2072-42922020-09-011218300910.3390/rs12183009Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic ScienceViviana Maggioni0Manuela Girotto1Emad Habib2Melissa A. Gallagher3Department of Civil, Environmental & Infrastructure Engineering, George Mason University, Fairfax, VA 22030, USADepartment of Environmental Science, Policy and Management, University of California, Berkeley, CA 94720-3114, USADepartment of Civil Engineering, University of Louisiana at Lafayette, Lafayette, LA 70503, USADepartment of Curriculum & Instruction, University of Houston, Houston, TX 77204, USAThis article presents an online teaching tool that introduces students to basic concepts of remote sensing and its applications in hydrology. The learning module is intended for junior/senior undergraduate students or junior graduate students with no (or little) prior experience in remote sensing, but with some basic background of environmental science, hydrology, statistics, and programming. This e-learning environment offers background content on the fundamentals of remote sensing, but also integrates a set of existing online tools for visualization and analysis of satellite observations. Specifically, students are introduced to a variety of satellite products and techniques that can be used to monitor and analyze changes in the hydrological cycle. At completion of the module, students are able to visualize remote sensing data (both in terms of time series and spatial maps), detect temporal trends, interpret satellite images, and assess errors and uncertainties in a remote sensing product. Students are given the opportunity to check their understanding as they progress through the module and also tackle complex real-life problems using remote sensing observations that professionals and scientists commonly use in practice. The learning tool is implemented in HydroLearn, an open-source, online platform for instructors to find and share learning modules and collaborate on developing teaching resources in hydrology and water resources.https://www.mdpi.com/2072-4292/12/18/3009remote sensingactive learninge-learningauthentic taskconstructive alignmenthigher education |
| spellingShingle | Viviana Maggioni Manuela Girotto Emad Habib Melissa A. Gallagher Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science Remote Sensing remote sensing active learning e-learning authentic task constructive alignment higher education |
| title | Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science |
| title_full | Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science |
| title_fullStr | Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science |
| title_full_unstemmed | Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science |
| title_short | Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science |
| title_sort | building an online learning module for satellite remote sensing applications in hydrologic science |
| topic | remote sensing active learning e-learning authentic task constructive alignment higher education |
| url | https://www.mdpi.com/2072-4292/12/18/3009 |
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