Overview of NASA Applied Remote Sensing Training Program on Water Resources and Disaster Management
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1 Overview of NASA Applied Remote Sensing Training Program on Water Resources and Disaster Management ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences
2 Outline About ARSET ARSET Trainings in Water Resources and Disaster Management : Goals/Structure Examples of NASA Data Applications
3 Applied Remote SEnsing Training (ARSET ) A NASA Applied Sciences Program
4 NASA Earth Science Applied Sciences Program Applications to Decision Making: Thematic Areas Agricultural Efficiency Climate Disaster Management Ecological Forecasting Public Health Water Resources Weather
5 Applied Remote Sensing Training Program (ARSET) (part of NASA Applied Sciences) GOAL: Increase utilization of NASA observational and model data for decision-support Online and hands-on courses: Who: policy makers, environmental managers, modelers and other professionals in the public and private sectors. Where: U.S and internationally When: throughout the year. Check websites. Do NOT require prior remote- sensing background. Presentations and hands-on guided computer exercises on how to access, interpret and use NASA satellite images for decision-support. NASA Training for California Air Resources Board, Sacramento
6 Applied Remote Sensing Training Program (ARSET) Health (Air Quality) Nitrogen Dioxide over China 2008 present 26 Trainings +700 end-users Analysis of dust, fires and urban air pollution. Long range transport of pollutants Satellite and regional air quality model inter-comparisons. Support for air quality forecasting and exceptional event analysis Water Resources and Flood Monitoring April 2011 present 6 Trainings +300 end-users Flood/Drought monitoring Severe weather and precipitation Watershed management Climate impacts on water resources Snow/ice monitoring Evapotranspiration (ET), ground water, soil moisture, and runoff. Satellite derived precipitation Inundation mapping Land Use/Change and Ecology Beginning in 2014 Webinars and in-person courses Topics to be informed by ongoing end-user needs assessment GIS applications Land use/change and vegetation indices Fire products Land Cover LAND COVER Smoke
7 Gradual Learning Approach Basic Courses Webinars Hands-on Assumes no prior knowledge of RS Advanced Courses Hands-on Webinar course generally required Focused on a specific application/problem: for example dust or smoke monitoring in a specific country or region
8 ARSET: End-users Reached Number of participating organizations per country: Air Quality, Water Resources, Flood Monitoring. 8
9 ARSET Trainings in Water Resources and Disaster Management
10 NASA Satellites for Water Quantities Landsat (07/1972-present) TRMM (11/1997-present) GPM (2/ present) Terra (12/1999-present) Aqua (5/2002-present) GRACE (3/2002-present) TRMM: Tropical Rainfall Measuring Mission GRACE: Gravity Recovery and Climate Experiment GPM: Global Precipitation Measurements System (Launched 2/27/2014) SMAP: Soil Moisture Active Passive (to be launched in late 2014)
11 NASA Models for Weather, Climate, and Water Resources Quantities (Atmosphere-Ocean-Land Models) GEOS-5 : MERRA: GLDAS : NLDAS : The Goddard Earth Observing System Version 5 Modern Era Retrospective-analysis for Research and Application Global Land Data Assimilation System North American Land Data Assimilation System
12 NASA Satellites and Earth Systems models provide global scale water cycle quantities on hourly, daily, seasonal, and multi-year time scales useful for water resources, flood, drought monitoring and management Rain Temperature Humidity Winds Soil Moisture Snow/Ice Clouds Terrain Ground Water Vegetation Index Evapotranspiration Run off Fresh Water Components over Land Rain amount Snow/Ice, Snowmelt amount Run off, Streamflow Soil moisture Evapotrasnpiration Ground water All these quantities are available from satellite observations as well as from models Quantities in green are derived from satellite observations Quantities in red are from land and atmosphere-land models in which satellite observations are assimilated
13 Why Use Satellite and Model Products for Water Resources and Disaster Management? Provide information where there are no ground-based measurements available, augment information where there are Provide regional and global/large-scale, consistent coverage Models Provide quantities that can not directly be observed (for example evapotranspiration, run off)
14 Why ARSET Trainings? There are numerous satellite and model data to choose from according to the application of interest There are multiple sources of the same products, with varying spatial/temporal resolutions and accuracies Data quality can range from excellent to poor depending assumptions and approximations used to obtain specific data quantity how to choose a product?
15 ARSET Introductory Webinars Prerequisite for advanced webinars and in-person ARSET Trainings Provide overview of fundamentals of remote sensing, NASA remote sensing observations/model-derived Water Cycle Components : focus on fresh water quantities useful for water resources and disaster management Provide strengths and limitations of remote sensing and modeling data Introduce web-tools for data access, analysis, and imaging Provide/demonstrate web-based examples of data usage/applications with GIS interface
16 ARSET Advanced Trainings Designed in response to end-users requirements Focus on specific application of NASA products for specific decision support activity (for example, regionally monitoring precipitation excess or deficit by using multisatellite data, agricultural drought monitoring using MODIS NDVI) Learn data access tools for user-specific applications Hands-on case studies of data interpretation and usage
17 Hands-on Courses: Recent ARSET Courses: Water Resources/Flooding Cartagena, Colombia, November 2011, Precipitation and Flooding University of Oklahoma, National Weather Center, June 2012, Water Resources World Bank, DC, March 2013, flooding Applications Online Courses: Fall 2012 : Precip/Flooding/Drought Spring 2013: Snow Products Fall 2013: Water Resources Management Fall 2013: Flood Monitoring Presentations and Data Application Demonstrations: USAID Learning Center, Virginia, April 2014, Water Resources Management Attendees of the NASA water resources training at the University of Oklahoma on June 19-20, with course instructors Amita Mehta and Ana Prados. Preliminary end-user feedback included a) interest in follow-on advanced/online courses and b) additional topics in land products, e.g. ET and Landsat.
18 Examples of Data Applications
19 Monitoring/Early Warning from TRMM ( Landslide Potential Tropical Cyclone Intensity December 9, 2013 Landslide over Brazil x4te
20 Flood Monitoring using TRMM Global Flood Monitoring System (GFMS) Inundation Mapping using MODIS
21 MODIS Snow Data Application ( MODSCAG (JPL), Snow Cover and Dust Radiative Forcing Information, along with CBRFC Modeling Analysis is used by Colorado Basin River Forecats Cneter for Decision Support 21
22 NASA Data Application for Drought Monitoring
23 NLDAS Soil Moisture A Major Component of Drought Monitoring Forecast based on Climate Model
24 Famine Early Warning System Network (FEWS NET) Operationally Uses: Normalized Difference Vegetation Index (NDVI From MODIS)
25 NASA Data Application for Crop Monitoring Data from: JASON-1 TOPEX/POS EIDON LANDSAT MODIS TRMM
26 NASA and California Department of Water Resources use NASA remote Sensing and Model data to monitor and access California Drought Conditions
27 Landsat-based Evapotranspiration ET from individual Fields is Critical for: Water Rights, Water Transfers, Farm Water Management K c METRIC application in La Mancha, Spain, 2003 Source: Rick Allen, University of Idaho (K c based on ET o )
28 Beta website:
29 English and Spanish
30 Sign up to the listserve for new website information and URL, and for program updates 30
31 Concluding Remarks NASA remote sensing and model-based data are FREE The ARSET Team works with stakeholder organizations to provide hands-on trainings to facilitate the use of NASA data for applications and decision support The ARSET Team works to liaison NASA scientists and stakeholder communities
32 Thank You!
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