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Open AccessLetter

Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science

1
Department of Civil, Environmental & Infrastructure Engineering, George Mason University, Fairfax, VA 22030, USA
2
Department of Environmental Science, Policy and Management, University of California, Berkeley, CA 94720-3114, USA
3
Department of Civil Engineering, University of Louisiana at Lafayette, Lafayette, LA 70503, USA
4
Department of Curriculum & Instruction, University of Houston, Houston, TX 77204, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(18), 3009; https://doi.org/10.3390/rs12183009
Received: 29 July 2020 / Revised: 12 September 2020 / Accepted: 14 September 2020 / Published: 16 September 2020
(This article belongs to the Special Issue Teaching and Learning in Remote Sensing)
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. View Full-Text
Keywords: remote sensing; active learning; e-learning; authentic task; constructive alignment; higher education remote sensing; active learning; e-learning; authentic task; constructive alignment; higher education
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MDPI and ACS Style

Maggioni, V.; Girotto, M.; Habib, E.; Gallagher, M.A. Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science. Remote Sens. 2020, 12, 3009. https://doi.org/10.3390/rs12183009

AMA Style

Maggioni V, Girotto M, Habib E, Gallagher MA. Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science. Remote Sensing. 2020; 12(18):3009. https://doi.org/10.3390/rs12183009

Chicago/Turabian Style

Maggioni, Viviana; Girotto, Manuela; Habib, Emad; Gallagher, Melissa A. 2020. "Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science" Remote Sens. 12, no. 18: 3009. https://doi.org/10.3390/rs12183009

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