NASA JPL Drought Project Kickoff Meeting

Slides:



Advertisements
Similar presentations
Monitoring and Predicting General Vegetation Condition Using Climate, Satellite, Oceanic, and Biophysical Data Tsegaye Tadesse 1, Brian D. Wardlow 1, and.
Advertisements

Reducing Vulnerability to Drought through Mitigation and Preparedness Report to the Inter-Agency Task Force for Disaster Reduction Sixth Meeting Geneva,
U.S. Department of the Interior U.S. Geological Survey February 29, 2012 – Washington, D.C. Detection and Monitoring of Agricultural Drought for Famine.
SNPP VIIRS green vegetation fraction products and application in numerical weather prediction Zhangyan Jiang 1,2, Weizhong Zheng 3,4, Junchang Ju 1,2,
Walloon Agricultural Research Centre Extending Crop Growth Monitoring System (CGMS) for mapping drought stress at regional scale D. Buffet, R. Oger Walloon.
Scaling Biomass Measurements for Examining MODIS Derived Vegetation Products Matthew C. Reeves and Maosheng Zhao Numerical Terradynamic Simulation Group.
THE USE OF REMOTE SENSING DATA/INFORMATION AS PROXY OF WEATHER AND CLIMATE IN THE GREATER HORN OF AFRICA Gilbert O Ouma IGAD Climate Applications and Prediction.
Applications of S-NPP Products for Disaster Response Andrew Molthan Research Meteorologist NASA Marshall Space Flight Center.
National Climatic Data Center Status of Continental Indicators for NADM Richard R. Heim Jr. NOAA/NESDIS/National Climatic Data Center Asheville, North.
Tools for Hazard Monitoring, Assessment, and Response
U.S. Department of the Interior U.S. Geological Survey NASA/USDA Workshop on Evapotranspiration April 6, 2011 – Silver Spring, Maryland ET for famine early.
U.S. Department of the Interior U.S. Geological Survey RMA Pasture, Range, and Forage-- Vegetation Index Jesslyn Brown Phone:
Green Vegetation Fraction (GVF) derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor onboard the SNPP satellite Zhangyan Jiang 1,2,
WMO / COST 718 Expert Meeting on Weather, Climate and Farmers November 2004 Geneva, Switzerland.
Satellite Data Access – Giovanni, LAADS, and NEO Training Workshop in Partnership with BAAQMD Santa Clara, CA September 10 – 12, 2013 Applied Remote SEnsing.
Interannual Deforestation Dynamics in Southern Madagascar Humid Forests 2000 to 2005 Jan Dempewolf (1), Ruth DeFries (1), Sandy Andelman (2), Rasolohery.
The Use of AVHRR NDVI in Environmental Applications Contact: Elizabeth R. McDonald ERIN Remote Sensing Coordinator Department of the Environment and Heritage.
Introduction Acquired and applied MODIS NDVI data to compute near real time “weekly” % change in forest NDVI products, based on 24 day temporal composite.
MODIS: Moderate-resolution Imaging Spectroradiometer National-Scale Remote Sensing Imagery for Natural Resource Applications Mark Finco Remote Sensing.
Application of GI-based Procedures for Soil Moisture Mapping and Crop Vegetation Status Monitoring in Romania Dr. Adriana MARICA, Dr. Gheorghe STANCALIE,
Liliana Balbi Senior Economist, Team Leader GIEWS FAO Trade and Markets Division Agricultural Market Information Network in the Mediterranean Region Kick.
Mark Svoboda National Drought Mitigation Center Is There a Need for a Water Resources Monitor? With Contributions From: Harry Lins, USGS Phil Pasteris,
Assessment of Regional Vegetation Productivity: Using NDVI Temporal Profile Metrics Background NOAA satellite AVHRR data archive NDVI temporal profile.
Descriptive Analysis Database Archive monitoring network locations, climate, emissions, wildfires, census, political, physical, and image databases Databases.
Earth System Models NASA TOPS -- Terrestrial Observation and Prediction System (predictive capabilities of over 30 variables describing land surface conditions.
U.S. Department of the Interior U.S. Geological Survey Topographic Data Update IGOL: Rome September 13-15, 2004 Doug Muchoney USGS.
GIS Tools at Climate Prediction Center April 20, 2010 Brad Pugh, CPC.
Vegetation Condition Indices for Crop Vegetation Condition Monitoring Zhengwei Yang 1,2, Liping Di 2, Genong Yu 2, Zeqiang Chen 2 1 Research and Development.
Vegetation Index Date (time step 16 days) 2010 Season 2005 (average yield season) 2003 (high yield season) Mean NDVI curve ( ) Vegetation Index.
ORNL DAAC MODIS Subsetting and Visualization tools Tools and services to access subsets of MODIS data Suresh K. Santhana Vannan National Aeronautics and.
Assessing the Phenological Suitability of Global Landsat Data Sets for Forest Change Analysis The Global Land Cover Facility What does.
AMS 85 Dr. James R. Mahoney Assistant Secretary of Commerce for Oceans and Atmosphere | NOAA Assistant Administrator January 10, 2005 From Information.
Vegetation Index Visualization of individual composite period. The tool provides a color coded grid display of the subset region. The tool provides time.
Early Detection & Monitoring North America Drought from Space
Task B7. Monitoring and Forecasting for Water Management and Drought/Flood Hazards Goals National scale characterization of snow water resources (Afghanistan’s.
A Remote Sensing Approach for Estimating Regional Scale Surface Moisture Luke J. Marzen Associate Professor of Geography Auburn University Co-Director.
Rationale for a Global Geostationary Fire Product by the Global Change Research Community Ivan Csiszar - UMd Chris Justice - UMd Louis Giglio –UMd, NASA,
MOLLY E. BROWN, PHD NASA GODDARD GIMMS Group Challenges of AVHRR Vegetation Data for Real Time Applications.
Developing the Vegetation Drought Response Index (VegDRI): Monitoring Vegetation Stress from a Local to National Scale Brian Wardlow National Drought Mitigation.
The Vegetation Drought Response Index (VegDRI) An Update on Progress and Future Activities Brian Wardlow 1, Jesslyn Brown 2, Tsegaye Tadesse 1, and Yingxin.
U.S. Department of the Interior U.S. Geological Survey VegDRI and VegOUT Workshop 27 Jul 2010 VegDRI Evaluation: Focus on Owyhee and Upper Colorado Basins.
Mark Svoboda, Don Wilhite National Drought Mitigation Center University of Nebraska-Lincoln NDMC NASA Project Activities: Objectives and Deliverables NASA.
Mark Svoboda, Climatologist National Drought Mitigation Center School of Natural Resources University of Nebraska-Lincoln What is the Drought Monitor?
Latin American and Caribbean Flood and Drought Monitor – What it does and does not do Figure showing current system Coarse resolution 25km, daily Satellite.
Vegetation Drought Response Index (VegDRI) A New Tool for Monitoring Vegetation Drought Stress at Local to National Scales Brian Wardlow National Drought.
VegDRI Evaluation: Focus on Owyhee and Upper Colorado Basins
JPL Technical Activities
NASA Drought Project Meeting
Temporal Classification and Change Detection
8 - 9 MAY, 2014, PRETORIA, SOUTH AFRICA
NASA JPL Drought Project Meeting Boulder, Colorado September 30, 2008
USGS EROS LCMAP System Status Briefing for CEOS
Instructors: Amita Mehta (ARSET) Kyle Peterson (ARSET) Week-4
NASA Drought Project Meeting
VEGA-GEOGLAM Web-based GIS for crop monitoring and decision support in agriculture Evgeniya Elkina, Russian Space Research Institute The GEO-XIII Plenary.
NDMC NASA –JPL Project Activities Update: Objectives and Deliverables
NASA Drought Project Meeting
Brian Cosgrove and Charles Alonge SAIC / NASA GSFC
USGS/EROS Accomplishments and Year 3 Plans Enhancement of the U. S
Developing the Vegetation Drought Response Index (VegDRI): Monitoring Vegetation Stress from a Local to National Scale Dr. Brian Wardlow National Drought.
NASA Drought Project Meeting
An Introduction to VegOut
VegDRI History, Current Status, and Related Activities
An Introduction to VegDRI
VegDRI Products Additional VegDRI products for rangeland decision makers and other users will be available at the VegDRI page within the Monitoring section.
IMTA PARTICIPATION IN NAME René Lobato-Sánchez.
Francesco Fava OnePlanet Workshop, Nairobi, March 2017
An Introduction to VegDRI
World Bank Land and Poverty Conference March 2018
Agricultural Intelligence From Satellite Imagery
Presentation transcript:

NASA JPL Drought Project Kickoff Meeting Enhancement of the U.S. Drought Monitor Through the Integration of NASA Vegetation Index Imagery Project and Related Activities at USGS/EROS Jim Verdin and Jesslyn Brown NASA JPL Drought Project Kickoff Meeting Lincoln, Nebraska April 24, 2007

Objective Integration of MODIS VI and derivative products into the U.S. Drought Monitor Decision Support System, and the emerging National Integrated Drought Information System (NIDIS)

Water Management: National Drought Monitoring System Earth System Models Land Surface Models: Vegetation Drought Response Index Predictions/Forecasts Decision Support Systems, Assessments, Management Actions National Integrated Drought Information System US Drought Monitor Weekly map and narrative NIDIS web portal Analyses Early Drought Detection Drought Spatial Extent Drought State/Drought Severity Decisions / Actions Drought Plans Activated Urban Water Restrictions Drought Assistance Programs Agricultural Choices for Water Conservation Information products Vegetation Indices MODIS NDVI MODIS NDWI AVHRR NDVI Phenological Metrics Start of Season Start of Season Anomaly Seasonal Greenness Percent of Average SG Gridded Rainfall Products Calibrated RADAR Standardized Precipitation Index Value & Benefits to Society Quantitative and qualitative benefits from improved decisions Wider dissemination of drought information Improved understanding of drought effects at sub-county scale Quicker response for State Drought Task Forces and State Governors Increased spatial precision in drought emergency designations Better informed state and local decision making leading to more effective use of available water and drought relief program resources Earth Observations Land Surface Vegetation: MODIS and AVHRR Precipitation: Weather Station networks, RADAR observations Land Use/Land Cover: Landsat, MODIS Observations, Parameters & Products

Specific Objectives Improve USDM resolution from Climate Division to 500m Provide drought detection and monitoring in gaps between stations Increase timeliness of VI product availability Integrate VI and derivative web product delivery into the NIDIS portal Tailor products and delivery according to feedback from USDM community

Desired Outcomes USDM products supporting county level decision making at USDA, etc USDM dissemination via NIDIS portal with sub-county drill-down capability Routine use of NASA VI derived products by USDM authors, land managers, water managers, and drought assistance program administrators

MODIS Data Access Issues Latency, fixed period of DAAC composite products problematic for operational drought monitoring Collection 4 and Collection 5: non-homogenous time series (participation in January workshop at UMd) Original plan for use of Direct Broadcast System (DBS) EROS DBS support discontinued Move to NOAA EDOS “bent pipe”

eMODIS: Enhanced MODIS Processing Service Product specifications developed to satisfy U.S. monitoring requirements – MOD09 surface reflectances Recently substituted for MODIS DBS approach Expedited data delivery: ~24 hours after satellite collection Daily rolling composite periods Products served with a conterminous U.S. extent (rather than tiled) Composite products at 250 m, 500 m, and 1 km Geotiff product format

eMODIS: Enhanced MODIS Processing Service System status and plans 2005 - 2006 historical time series (Terra and Aqua MODIS) for baseline establishment (cross calib. with AVHRR) Currently evaluating composite products Operational near real-time service to begin in approximately 6-9 months Plan to fill in 2007 composites retrospectively

eMODIS System Composite Example Prototype Terra MODIS NDVI composite for the period August 2-8, 2006

US Satellite Inputs: Updates from eMODIS Vegetation Indices Percent of Average Seasonal Greenness Start of Season Anomaly (and other metrics) 7-day and 28-day change products (e.g., “greener” and “wetter”) Current 2008 AVHRR NDVI MODIS NDVI and NDWI 14-day time step 7-day time step (updated daily) 1-km resolution 500 m resolution (250 m resolution)

eMODIS: Resolution Improvements 1 km AVHRR NDVI 500 m MODIS NDVI Kansas Oklahoma

U.S. Rain Day/Dry Day Products Product suite developed for U.S. drought monitoring Computed daily based on (~4 km) NOAA/NWS Precipitation Analysis data (http://www.srh.noaa.gov/rfcshare/precip_analysis_new.php) Served from the NDMC (http://drought.unl.edu) [weekly update] and USGS Early Warning and Monitoring Program (http://earlywarning.usgs.gov): [daily update]

U.S. Rain Day/Dry Day Products

U.S. Rain Day/Dry Day Products

MODIS-derived Irrigated Area Map

National Irrigated Area Model Inputs 2002 Annual Peak NDVI (250 m resolution) 1992 NLCD (will update to use 2001 NLCD) 2002 USDA Agricultural Census Statistics

National Irrigated Area

Zimbabwe Maize Harvest Prospects 2007 MODIS NDVI data were used to assess the impact of drought in the central and southern portions of the country Cultivated Area NDVI SADC Land Cover MODIS NDVI

Calendar dates are indicative; actual dates vary by district Zimbabwe MODIS Analysis - National onset-adjusted NDVI curves related to USDA statistics Calendar dates are indicative; actual dates vary by district

end