H21E:
Citizen Science, Low-Cost Sensors, and Remote Sensing Applications in Data-Scarce Regions II Posters

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Session ID#: 13075

Session Description:
This session will highlight opportunities and challenges for cutting-edge research, innovative data collection and integrated modeling approaches to tackle hydrologic and earth sciences research and solutions in data scarce regions.

Research presented in this session may include:

1) Socially relevant ways of framing scientific questions so as to target research to address the most critical knowledge gaps.

2) Locally appropriate, scientifically valid data collection using low-cost sensing and instrumentation methods.

3) Use of remote sensing and global weather datasets for hydrologic modeling.

4) Community engagement through citizen science, crowdsourcing and participatory data acquisition.

5) Innovative use of information technology and mobile applications in data acquisition.

The session will highlight problem driven approaches to addressing critical environment, development and public health challenges and will be especially useful to developing world researchers, who face the multiple challenges of inadequate historical data, critical science-policy gaps and limited budgets.

Primary Convener:  Wouter Buytaert, Imperial College London, Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London, SW7, United Kingdom
Conveners:  Gabriel B Senay, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Fort Collins, United States, Naga Manohar Velpuri, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, SD, United States and Prof. David M. Hannah, PhD, University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, United Kingdom
Chairs:  Gabriel B Senay, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Fort Collins, United States and Wouter Buytaert, Imperial College London, Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London, SW7, United Kingdom
OSPA Liaison:  Wouter Buytaert, Imperial College London, Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London, SW7, United Kingdom

Cross-Listed:
  • ED - Education
  • PA - Public Affairs
Index Terms:

1855 Remote sensing [HYDROLOGY]
1874 Ungaged basins [HYDROLOGY]
1880 Water management [HYDROLOGY]
1895 Instruments and techniques: monitoring [HYDROLOGY]

Abstracts Submitted to this Session:

Designing for knowledge: bridging socio-hydrological monitoring and beyond (Invited) (173464)
Feng Mao, University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, B15, United Kingdom, Julian Clark, University of Birmingham, Birmingham, United Kingdom, Wouter Buytaert, Imperial College London, Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London, SW7, United Kingdom, Boris F Ochoa-Tocachi, Imperial College London, London, SW7, United Kingdom; Imperial College London, Civil and Environmental Engineering and Grantham Institute for Climate Change, London, United Kingdom and Prof. David M. Hannah, PhD, University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, United Kingdom
Citizen Science: Participatory Monitoring of Water Resources Management in Mustang District, Nepal (167107)
Santosh Regmi1, Jagat k. Bhusal1, Praju Gurung1, Boris F Ochoa-Tocachi2 and Wouter Buytaert3, (1)Society of Hydrologists and Meteorologists Nepal, Kathmandu, Nepal, (2)Imperial College London, Civil and Environmental Engineering, London, United Kingdom, (3)Imperial College London, Civil and Environmental Engineering, London, SW7, United Kingdom
Community based Low-cost Hydrological Sensors for Improving Flood Risk Management Activities in Nepal (156450)
Bhopal Pandeya, Imperial College London, Centre for Environmental Policy and Grantham Institute for Climate Change, London, SW7, United Kingdom, Sumit Dugar, Department for International Development, Inclusive Growth and Resilience Team, Kathmandu, Nepal and Wouter Buytaert, Imperial College London, Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London, SW7, United Kingdom
Flood and Weather Monitoring Using Real-time Twitter Data Streams (185728)
Muhammed Ali Sit, University of Iowa, Iowa City, IA, United States, Yusuf Sermet, IIHR—Hydroscience and Engineering, Iowa City, IA, United States and Ibrahim Demir, Tulane University, New Orleans, United States
Ten Years of Rainfall and Community-Based Streamflow Monitoring in the Tropical Montane Cloud Forest Region of Central Veracruz, Mexico: What Do These Data Tell Us? (187078)
Friso Holwerda1, Eduardo Aranda-Delgado2, Eduardo Castilleja-Delgado2 and Lyssette Munoz-Villers1, (1)Universidad Nacional Autonoma de Mexico, Centro de Ciencias de la Atmósfera, Mexico City, Mexico, (2)Asociación “Amigos del Pixquiac”, Coatepec, Veracruz, Mexico
The Nitrate App: Enhancing nutrient best management practice adoption and targeting via instantaneous, on-farm nitrate data (119265)
Joachim Rozemeijer, Deltares, Delft, Netherlands, Dave De Geus, The Nature Conservancy, Des Moines, IA, United States and Rudie Ekkelenkamp, Deltares, Software Data Integration Department, Delft, Netherlands
Can Low Frequency Measurements Be Good Enough? - A Statistical Assessment of Citizen Hydrology Streamflow Observations (122626)
Jeffrey Colin Davids, Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands, Martine Rutten, Delft University of Technology, Delft, Netherlands and Nick Van De Giesen, Delft University of Technology, Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft, Netherlands
Anticipating Central Asian Water Stress: Variation in River Flow Dependency on Melt Waters from Alpine to Plains in the Remote Tien Shan Range, Kyrgyzstan Using a Rapid Hydro Assessment Methodology (126960)
Alice Frances Hill, Cooperative Institute for Research in Environmental Sciences, Boulder, United States; University of Colorado at Boulder, Boulder, United States, Alana M Wilson, Institute of Arctic and Alpine Research, Boulder, CO, United States and Mark W Williams, Univ Colorado, Boulder, CO, United States
Inexpensive, Low Power, Open-Source Data Logging in the Field (151039)
Chad Timothy Sandell, University of Minnesota Twin Cities, Department of Earth Sciences, Minneapolis, MN, United States and Andrew D Wickert, University of Minnesota, Saint Anthony Falls Laboratory and Department of Earth & Environmental Sciences, Minneapolis, United States
Coastal Residents Ocean Literacy about Seawater Desalination and its Impacts on Marine Ecosystems in the Monterey Bay (166098)
Sarah Faraola1, Nadine Heck2, Brolin Mirza Ordshahi3, Adina Paytan4, Karen Lykkebo Petersen5, Brent Haddad3 and Donald Cameron Potts6, (1)University of California Santa Cruz, Earth and Planetary Sciences, Santa Cruz, CA, United States, (2)University of California Santa Cruz, Institute of Marine Sciences, Santa Cruz, CA, United States, (3)University of California Santa Cruz, Santa Cruz, CA, United States, (4)University of California Santa Cruz, Institute of Marine Sciences, Earth & Planetary Sciences, Santa Cruz, United States, (5)University of California Santa Cruz, Earth and Planetary Science, Santa Cruz, CA, United States, (6)University of California-Santa Cruz, EEB, Santa Cruz, CA, United States
Small Unmanned Aerial Systems: Implications of the Evolving Legal Context for Use in Natural Resources Science and Management (190381)
Mark J Walker, University of Nevada Reno, Reno, NV, United States
UAV-LiDAR accuracy and comparison to Structure from Motion photogrammetry (195973)
Maja Kucharczyk1, Chris Hugenholtz2, Xueyang Zou1, Paul Ryan Nesbit2 and Thomas Barchyn2, (1)University of Calgary, Geography, Calgary, AB, Canada, (2)University of Calgary, Department of Geography, Calgary, AB, Canada
Analyzing the Potential for Unmanned Aerial Systems (UAS) Photogrammetry in Estimating Surface Deformations at a Geothermal Fiel (190665)
Henry Pai1, Jonathan Burnett2, Chris Sladek1, Michael Wing2, Kurt L Feigl3, John Steven Selker4, Scott Tyler5 and PoroTomo Team6, (1)University of Nevada Reno, Reno, NV, United States, (2)Oregon State University, Corvallis, OR, United States, (3)University of Wisconsin, Geoscience, Madison, United States, (4)Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States, (5)University of Nevada, Reno, Department of Geological Sciences and Engineering, Reno, NV, United States, (6)University of Wisconsin-Madison, Madison, WI, United States
Using Large Scale Particle Image Velocimetry with Unmanned Aerial Vehicle to Measure Surface Flow Fields (155911)
Ting Yu Ko, Hsun-Chuan Chan and Bo-An Chen, National Chung Hsing University, Taichung, Taiwan
Unmanned Aerial System Aids Dry-season Stream Temperature Sensing (139546)
Michaella Chung1, Carrick Detweiler2, James Higgins2, John-Paul Ore2, David Dralle3 and Sally E Thompson1, (1)University of California Berkeley, Civil and Environmental Engineering, Berkeley, CA, United States, (2)University of Nebraska, Lincoln, Computer Science and Engineering, Lincoln, NE, United States, (3)USDA Forest Service, Pacific Southwest Research Station, Davis, United States
Hydrologic Modeling for Monitoring Water Availability in Africa (175410)
Amy McNally1, Hahn Chul Jung2, Md Shahriar Pervez3, Shraddhanand Shukla4, Narcisa GABRIELA Pricope5, Laura Harrison6 and Christa D Peters-Lidard1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States, (3)USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD, United States, (4)University of California Santa Barbara, Climate Hazards Center, Geography Department, Santa Barbara, United States, (5)Mississippi State University, Department of Geosciences, Mississippi State, MS, United States, (6)University of California Santa Barbara, Santa Barbara, CA, United States
Parameterization of the Rangeland Hydrology and Erosion Model (RHEM) Using Dynamic Landsat-Based Foliar Cover Estimates (193071)
Mark Anderson Kautz1, Chandra Holifield Collins2, D. Phillip Guertin1, David C Goodrich2 and Willem J D Van Leeuwen3, (1)University of Arizona, Tucson, AZ, United States, (2)USDA-ARS, Southwest Watershed Research Center, Tucson, AZ, United States, (3)University of Arizona, School of Natural Resources and the Environment, Tucson, United States
Hydrologic model calibration using remotely-sensed data in Alaska (188237)
Jessica M Driscoll1, Lauren Hay1 and Ashley E Van Beusekom2, (1)USGS, National Research Program, Baltimore, MD, United States, (2)USDA Forest Service, International Institute of Tropical Forestry, San Juan, PR, United States
Seasonal extension of the Nile River plume into the Mediterranean Sea measured by its optical properties from satellite products (180898)
Mahmoud M. El-Mezayen1,2, Digna T Rueda-Roa3, Frank E Muller-Karger3 and Daniel Brooks Otis2, (1)National Institute of Oceanography and Fisheries, Cairo, Egypt, (2)University of South Florida St. Petersburg, IMaRS, St Petersburg, FL, United States, (3)University of South Florida St. Petersburg, IMaRS, St Petersburg, United States
Estimation of the rice-planting field in Bangladesh by satellite remote sensing (173692)
Eiki Furuta1, Genta Suzuki2, Masato Yamassaki1, Tomomi Teraoka1, Hirokazu Fujiwara1, Yuka Ogino1, Megumi Akashi1, Lucy Lahrita3, Nobuyasu Naruse4 and Yukihiro Takahashi1, (1)Hokkaido University, Sapporo, Japan, (2)Hokkaido University, Global Science Campus, Sapporo, Japan, (3)Hokkaido University, Graduate School of Agriculture, Sapporo, Japan, (4)Hokkaido University, Global Science Campus and Institute for the Advancement of Higher Education, Sapporo, Japan
Spectral Reconstruction for Obtaining Virtual Hyperspectral Images  (173164)
Gay Jane P Perez, University of the Philippines Diliman, Institute of Environmental Science and Meteorology, Quezon City, Philippines and Ellison C Castro, University of the Philippines, Quezon City, Philippines
Estimating river discharge rates through remotely sensed thermal plumes (172050)
Ibrahim Alameddine1, Majdi Abou Najm1, Elsy Ibrahim2 and Rony Nasr1, (1)American University of Beirut, Beirut, Lebanon, (2)Notre Dame University, Civil and Environmental Engineering, Louaze, Lebanon
Mapping past salt marsh dieback in South Carolina’s North Inlet-Winyah Bay National Estuarine Research Reserve using remote sensing (134269)
Gwen Joelle Miller1, James T Morris2 and Cuizhen (Susan) Wang2, (1)University of California Berkeley, Landscape Architecture & Environmental Planning, Berkeley, CA, United States, (2)University of South Carolina Columbia, Columbia, SC, United States
Peak river flow forecasting over cold regions using GRACE satellite observations (128353)
Shusen Wang, Natural Resources Canada, Ottawa, ON, Canada
Development of a Validation Framework for Remotely Sensed Water and Energy Balance Components in Data Scarce Catchments using the Budyko Hypothesis (131679)
Akash Koppa, University of Maryland College Park, Dept. of Environmental Science & Technology, Maryland, United States and Prof. Mekonnen K Gebremichael, PhD, University of California Los Angeles, Civil and Environmental Engineering, Los Angeles, United States
Quantifying exchange between groundwater and surface water in rarely measured organic sediments (134116)
Donald O Rosenberry, US Geological Survey, Water Mission Area, Lakewood, CO, United States, Matthew Cavas, Anchor QEA, Glens Falls, NY, United States, David Keith, Anchor QEA, Ocean Springs, MS, United States, Michael J. Gefell, Anchor QEA, Denver, CO, United States and Perry M. Jones, USGS Minnesota Water Science Center, Mounds View, MN, United States

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