GEN 6632

Remote Sensing of Hydrology

Stanford University · UGRD · Fall 2026

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This class discusses the methods available for remote sensing of the components of the terrestrial hydrologic cycle and how to use them. Topics include the hydrologic cycle, relevant sensor types and the electromagnetic spectrum, active/passive microwave remote sensing (snow, soil moisture, rainfall), thermal sensing of evapotranspiration, gravity and hyperspectral methods, as well as an introduction to orbits, calibration/validation approaches for remote sensing and other topics common to remote sensing efforts in hydrology. Required pre-requisite: programming experience. Please complete problem set 0 to ensure pre-requisite programming knowledge is sufficient for success in the course

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Class #stanford-6632Fall 2026UGRD3 credits
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