Welcome to NASA Applied Remote Sensing Training (ARSET) Webinar Series
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1 Welcome to NASA Applied Remote Sensing Training (ARSET) Webinar Series Introduction to Remote Sensing Data for Water Resources Management Course Dates: October 17, 24, 31 November 7, 14 Time: 8-9 a.m. and 1-2 p.m. Eastern U.S. Time ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences 1
2 Important Information Presentations URL: Contact for Requesting Recorded Link for the Webinars: Marines Martins : marines.martins@ssaihq.com ARSET Water ListServ URL: 2
3 Applied Remote Sensing Training (ARSET) Webinar on Flood Monitoring using NASA Remote Sensing Data November 19 December 10, AM U.S. Eastern Standard Time (13 PM UTC) Tuesdays (4 webinars: one hour per week) Webinar Agenda Available at: h1p://water.gsfc.nasa.gov/ Registra;on link: hmps://amendee.gototraining.com/r/ Course Objective: To introduce NASA remote sensing data and web-based tools for flood monitoring and inundation mapping Course Participation: This course is intended for water resources managers, water user associations, NGOs, international development agencies, and private sector organizations. Space is limited, preference will be given to these and other environmental professionals. For more information Contact:
4 Course Outline Week 1 Week 2 Week 3 Overview of Remote Sensing and Earth System Modeling Precipitation and Run Off Soil Moisture and Evapotranspiration Week 4 Week 5 Reservoir and Ground Water Web-tools for Data Access/ Imaging 4
5 Outline Ø Web-tools for Data Access and Analysis Presenter: Brock Blevins Data Selection, Display, Download, Data Import in GIS-ArcMap Demonstration Case Studies: Seasonal and Year-to-Year Assessment of Water Resources Over Northeast Brazil and Mozambique Ø Summary 5
6 Introduction to Web-tools for Data Access, Analysis and Visualization 6
7 Course Summary 7
8 We used many acronyms! Acronym Directory: 8
9 Water Resources Management. Take-home Message from this course: Ø Requires balancing Freshwater availability and usage NASA Remote Sensing Observations and Earth System Models calculations are available for all the Freshwater components. Ø Precipitation (rain, snow) is the main source of Fresh Water regionally, Runoff, Streamflow, Lakes, Soil Moisture, and Ground Water also contribute to available Fresh Water There are multiple observed and model data quantities with varying spatial/ temporal resolutions and coverage appropriate for various applications. Ø Evaporation and Evapotranspiration contribute to the loss of water to the atmosphere and the depletion of available Freshwater
10 This Webinar Focused on: Freshwater Data: There are Strengths and Limitations/Trade-offs Ø Freshwater availability data from NASA satellites (TRMM, Terra, Aqua, Landsat, TOPEX/Poseidon, GRACE) and satellite-data-assimilated GLDAS/NLDAS models Ø Soil Satellites Moisture and data model available data from records Aqua/AMSR-E have decade June 2002 to multi-decade to September lengths; 2011 current provide soil historical moisture perspective, data available case from studies GLDAS for calculations. validation, SMAP and training Mission planned decision for support launch in 2014 tools for more accurate, high resolution soil moisture measurements Ø Evapotranspiration > Satellite orbits, multiple sensors, regional spatial/temporal data products from resolutions Landsat available and at 30 m Ø GLDAS provides global, observations-assimilated, consistently derived, resolution (METRIC and SEBAL). Global products from MODIS are available at 1 km Freshwater coverage, data components levels of data regional (pixels/swath validation to uniformly recommended gridded) resolution (MOD16) and GLDAS Ø Ground Rainfall > water GLDAS/NLDAS (near-real storage time from and GRACE components long observations term, 0.25 degree) provides total data water available storage from data at relatively combined low TRMM resolution and (150,000 multiple kmsatellites 2 ). Used for measurements, assimilation into within high-resolution 50 S-50 N land surface latitudes. models GPM mission to be launched in 2014 will provide coverage from Ø Examples of data application and usage 65 S-65 N Ø Global Lake Height data are available every 10 days (~380 lakes, ~90 reservoirs) and every 35 days (~1065 lakes ~230 reservoirs), reservoir size limit ~100 km Ø Snow, vegetation, and land use data from MODIS available at 250m 2 to 1 km on Ø Publicly daily basis. available Landsat data (from data the available web) has since a latency 1972 that at 30m varies resolution from near-real with time revisit to 1-3 time months, of 16 days. depending Data on the data set. not available in the presence of clouds
11 This Webinar focused on: Ø Data Introducing Applications Freshwater and usage availability data from satellites (TRMM, Terra, Aqua, Landsat, TOPEX/Poseidon, GRACE) Hydrology Models for Streamflow Monitoring and Prediction and satellite-data-assimilated GLDAS/NLDAS models Decision > Support Satellite Systems orbits, sensors, for Flood spatial/temporal and Drought Monitoring, resolutions Irrigation and Mapping TRMM Rainfall, coverage, NLDAS levels Soil of Moisture, data (pixels/swath Landsat and to uniformly MODIS-based gridded) Evapotranspiration, Altimeter-derived Lake Heights, GRACE Water Storage > GLDAS/NLDAS components Hydropower Decision Support Altimeter-derived Reservoir Height Threshold Ø Examples of data application and usage Ø TRMM rainfall, MODIS-derived snow cover and snow melt Crop Monitoring TRMM rainfall, Landsat imagery, MODIS-derived vegetation Indices, Altimeterderived Lake Heights Data access, analysis, visualization tools and demonstration to import data in GIS (today) Water Budget Analysis (All Water Cycle Components) Freshwater Excess or Deficit (anomalies) from GLDAS and GRACE Water Storage
12 This Webinar focused on: Ø Introducing Freshwater availability data from satellites (TRMM, Terra, Aqua, Landsat, TOPEX/Poseidon, GRACE) and satellite-data-assimilated GLDAS/NLDAS models > Satellite orbits, sensors, spatial/temporal resolutions and coverage, levels of data (pixels/swath to uniformly gridded) > GLDAS/NLDAS components Ø Examples of data application and usage Ø Data access, analysis, visualization tools and demonstration to import data in GIS (today)
13 Advanced Webinars/Hands-on Trainings Focused instruction on the use of NASA data for specific applications. The objective is to enable end-users to incorporate NASA data into their own decision support environment/tools. Ø High resolution Level-2 data access and tools, import in GIS Ø Hands-on case studies for data access/download Ø Data accuracy and validation Ø Additional data, such as weather and climate, terrain, land use, and socioeconomic data
14 To Conclude: Ø NASA remote sensing and model-based data are free and easily accessible through a multitude of web-tools for data access, analysis, and download. Ø The ARSET Team works with end-users/ organizations to design and provide advanced webinars and hands-on trainings that facilitate the use of NASA data for decision support.
15 Thank You! Amita Mehta
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