The Vegetation Drought Response Index (VegDRI) An Update on Progress and Future Activities Brian Wardlow 1, Jesslyn Brown 2, Tsegaye Tadesse 1, and Yingxin.

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

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.
Xiangming Xiao Department of Botany and Microbiology, College of Arts and Sciences Center for Spatial Analysis, College of Atmospheric.
National Climatic Data Center Status of Continental Indicators for NADM Richard R. Heim Jr. NOAA/NESDIS/National Climatic Data Center Asheville, North.
Developing the Self-Calibrating Palmer Drought Severity Index Is this computer science or climatology? Steve Goddard Computer Science & Engineering, UNL.
Drought Monitoring and Precipitation Data A U.S. Perspective on Current Uses, Needs, and Opportunities Dr. Brian D. Wardlow Director and Associate Professor.
Andrew Benjamin University of Delaware.  Goals: ◦ To investigate Drought Monitoring plans of states along the coastal plain. ◦ Review literature and.
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.
Use of Remote Sensing and GIS in Agriculture and Related Disciplines
U.S. Department of the Interior U.S. Geological Survey RMA Pasture, Range, and Forage-- Vegetation Index Jesslyn Brown Phone:
National Climatic Data Center NADM Status and National Drought Monitoring in the USA Richard R. Heim Jr. NOAA/NESDIS/National Climatic Data Center Asheville,
Understanding Drought
DROUGHT MONITORING THROUGH THE USE OF MODIS SATELLITE Amy Anderson, Curt Johnson, Dave Prevedel, & Russ Reading.
Remote Sensing of Drought Lecture 9. What is drought? Drought is a normal, recurrent feature of climate. It occurs almost everywhere, although its features.
U.S. Department of the Interior U.S. Geological Survey Using Advanced Satellite Products to Better Understand I&M Data within the Context of the Larger.
Drought Monitor Primer Mark Svoboda, Climatologist Monitoring Program Area Leader, National Drought Mitigation Center University of Nebraska-Lincoln, USA.
Application of GI-based Procedures for Soil Moisture Mapping and Crop Vegetation Status Monitoring in Romania Dr. Adriana MARICA, Dr. Gheorghe STANCALIE,
Real-time integration of remote sensing, surface meteorology, and ecological models.
Mark Svoboda National Drought Mitigation Center Is There a Need for a Water Resources Monitor? With Contributions From: Harry Lins, USGS Phil Pasteris,
Agriculture and Agri-Food Canada’s National Agroclimate Information Service’s Drought Monitoring Trevor Hadwen Agriculture and Agri-Food Canada, Agri-Environmental.
Assessment of Regional Vegetation Productivity: Using NDVI Temporal Profile Metrics Background NOAA satellite AVHRR data archive NDVI temporal profile.
Operational Agriculture Monitoring System Using Remote Sensing Pei Zhiyuan Center for Remote Sensing Applacation, Ministry of Agriculture, China.
National Mapping Division EROS Data Center U. S. Geological Survey U.S. Geological Survey Earth Resources Operation Systems (EROS) Data Center World Data.
Slide #1 Emerging Remote Sensing Data, Systems, and Tools to Support PEM Applications for Resource Management Olaf Niemann Department of Geography University.
Applying New Drought Decision Support Tools Mark Svoboda National Drought Mitigation Center International Drought Information Center University of Nebraska-Lincoln.
Drought and Heat Wave of 2012 Midwest and Great Plains Worst drought since 1956 with ~60% of contiguous U.S. under drought, worst agricultural drought.
U.S. Department of the Interior U.S. Geological Survey Topographic Data Update IGOL: Rome September 13-15, 2004 Doug Muchoney USGS.
Drought Monitoring: Challenges in the Western United States
Developing Tools for Understanding and Communicating Drought Deke Arndt Associate State Climatologist Oklahoma Climatological Survey.
The Making of the Drought Monitor. The U.S. Drought Monitor Since 1999, NOAA/CPC and NCDC, USDA, and the NDMC have produced a composite drought map--the.
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.
U.S. Department of the Interior U.S. Geological Survey Entering A New Landsat Era – The Future is Now Tom Loveland U.S. Geological Survey Earth Resources.
Remote sensing for surface water hydrology RS applications for assessment of hydrometeorological states and fluxes –Soil moisture, snow cover, snow water.
U.S. Department of the Interior U.S. Geological Survey Normalized Difference Vegetation Index for Restoration Monitoring Bruce K. Wylie 1, Steve Boyte.
EGSC WaterSMART-irrigation water use research John W. Jones USGS Eastern Geographic Science Center March 08, 2012 Input for the ACF WaterSMART Stakeholders.
NOAA North American Drought Monitor (NADM) Sharon LeDuc NOAA/NESDIS/NCDC NOAA - Environment Canada Bilateral Meeting November 6, 2008
The U.S. Drought Monitor and Beyond
The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 Evaluating the Integration of a Virtual ET Sensor into AnnGNPS Model Rapid.
Goal: to understand carbon dynamics in montane forest regions by developing new methods for estimating carbon exchange at local to regional scales. Activities:
Early Detection & Monitoring North America Drought from Space
Copernicus Observations Requirements Workshop, Reading Requirements from agriculture applications Nadine Gobron On behalf Andrea Toreti & MARS colleagues.
A Remote Sensing Approach for Estimating Regional Scale Surface Moisture Luke J. Marzen Associate Professor of Geography Auburn University Co-Director.
Global Phenological Response to Climate in Crop Areas using Humidity and Temperature Models Molly E. Brown, GSFC Code 618 Kirsten M. de Beurs, University.
Developing the Vegetation Drought Response Index (VegDRI): Monitoring Vegetation Stress from a Local to National Scale Brian Wardlow National Drought Mitigation.
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, Climatologist National Drought Mitigation Center School of Natural Resources University of Nebraska-Lincoln What is the Drought Monitor?
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
Figure 10. Improvement in landscape resolution that the new 250-meter MODIS (Moderate Resolution Imaging Spectroradiometer) measurement of gross primary.
JPL Technical Activities
NASA Drought Project Meeting
NASA JPL Drought Project Meeting Boulder, Colorado September 30, 2008
NDMC NASA –JPL Project Activities Update: Objectives and Deliverables
NASA Drought Project Meeting
Drought Analysis of Utah County
NASA JPL Drought Project Kickoff Meeting
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
Drought: Lab Exercise Deirdre Kann NWS Albuquerque.
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.
National Drought Mitigation Center
An Introduction to VegDRI
Using Remote Sensing to Monitor Plant Phenology Response to Rain Events in the Santa Catalina Mountains Katheryn Landau Arizona Remote Sensing Center Mentors:
Generation of Cloud Products from NOAA’s Operational Satellite Imagers
Presentation transcript:

The Vegetation Drought Response Index (VegDRI) An Update on Progress and Future Activities Brian Wardlow 1, Jesslyn Brown 2, Tsegaye Tadesse 1, and Yingxin Gu 2 1 National Drought Mitigation Center (NDMC) 2 USGS Center for EROS U.S. Drought Monitor Forum Portland, OR October 10-11, 2007

What is VegDRI? VegDRI is a new drought index that combines - climate-based drought index data - satellite-based observations of vegetation conditions - biophysical information (e.g., land cover type and soils) to produce maps of drought-related vegetation stress that have high spatial resolution (1-km 2 ) and can be updated in near real- time (currently at a 2-week interval).

What is VegDRI? VegDRI is a new drought index that combines - climate-based drought index data - satellite-based observations of vegetation conditions - biophysical information (e.g., land cover type and soils) to produce maps of drought-related vegetation stress that have high spatial resolution (1-km 2 ) and can be updated in near real- time (currently at a 2-week interval). Goal: A tool that has national-level monitoring capabilities and can provide local-scale drought information (i.e., county- level).

Regression Tree Model (*) Climate Data Satellite Data Biophysical Data 1-km 2 VegDRI Map VegDRI Concept: Integration of Satellite, Climate, and Biophysical Data 1) Percent Annual Seasonal Greenness (PASG) 2) Start of Season Anomaly (SOSA) 1) self-calibrated Palmer Drought Severity Index (PDSI) 2) Standardized Precipitation Index (SPI) 1) land use/land cover type 2)soil available water capacity (STATSGO) 3)ecoregion type 4)irrigation status (*) Models developed from a 17-year historical record (1989 – 2005) of bi-weekly climate and satellite observations.

Operational in 2007 Spring 2008 Spring 2009 Expansion Schedule Expansion Schedule for Operational VegDRI Production

Operational VegDRI Product Development 1. Drought Monitoring viewer hosted by the USGS - Zoom and pan options - Overlay capabilities - Multiple layers of information

Operational VegDRI Product Development 2. VegDRI webpage in Monitoring section of the NDMC website - debuted in May 2007 Goal: Provide ‘quick view’ maps and other graphical information.

VegDRI Quick-View Maps (multiple spatial scales) Regional State Sub-state

Complete Rangeland Cropland VegDRI Quick-View Maps (land cover type)

VegDRI Area Statistics (% area) (currently available at state-level only) Wyoming – June 4, 2007 Entire state Rangeland Cropland

3 Types: 1)Prior period ex. - June 4, 2007 vs. May 21, ) Same period from the prior year or a specific year in past (* currently not available) ex. – June 4, 2007 vs. June 4, )Historical average (* currently not available) ex. – June 4, 2007 vs. average for June 4 (1989 through 2006) Change Maps

Proposed VegDRI Products 1.Time-series animations 2.Trend line graphs – track VegDRI’s response across the year by major land cover type (e.g., cropland and rangeland) for a geographic area (e.g., county, watershed, or NRD) 3.Ranking or percentile maps for each period - Produced when a historical time series of VegDRI maps is produced from 1989 – present. 4. Weekly updates of VegDRI maps

Evaluation of VegDRI A Multi-Source ‘Convergence of Evidence’ Approach 1.Feedback from 81 evaluators across the 15-state region. Composition: 19 climate experts (state climatologists & USDM authors) 42 agricultural specialists and other experts (extension & gov’t agencies) 20 agricultural producers User workshops: 3 per year nationally 2006: Illinois, Oklahoma, and New Mexico 2007: North Dakota, Texas, and Wyoming 2008: western U.S. (states TBD) 2009: eastern U.S. (states TBD)

Evaluation of VegDRI A Multi-Source ‘Convergence of Evidence’ Approach 1.Feedback from 81 evaluators across the 15-state region. 2.Comparisons with other drought index maps (e.g., USDM). VegDRI – Sept. 24, 2007USDM – Sept. 25, 2007

Evaluation of VegDRI A Multi-Source ‘Convergence of Evidence’ Approach 1.Feedback from 81 evaluators across the 15-state region. 2.Comparisons with other drought index maps (e.g., USDM). 3.Comparisons with ground truth data. USDA county crop yield data Soil moisture data (state MESONETS) Biophysical vegetation data (USDA ARS and LTERs) - biomass, leaf area index, and net primary productivity

VegDRI Research Activities 1.Test additional variables in the VegDRI models: - land surface temperature - DEM products (elevation, slope, and aspect) - higher resolution SSURGO soils data - irrigated lands map – derived from remotely sensed data 2.Investigate the use of satellite-based VI observations from instruments similar to the AVHRR (Advanced Very High Resolution Radiometer): - MODIS (Moderate Resolution Imaging Spectroradiometer) - VIIRS (Visible/Infrared Imager/Radiometer Suite) 3. Explore the development of a 250-m VegDRI using MODIS data.

Additional Remote Sensing-Related Projects at the NDMC Vegetation Outlook (VegOut) – provides 1-km 2 outlook maps of future vegetation conditions (2-, 4-, and 6-week time steps) USGS EROS / NDMC Collaboration: National-level irrigation mapping (250-m) Normalized Difference Water Index (NDWI) (500-m) ET estimation from land surface temperature data (1-km) CALMIT / NDMC Collaboration: estimation of biophysical characteristics of vegetation (250-m) - LAI, green biomass, chlorophyll content, and FPAR development for spectral/thermal-based indicators for drought monitoring (500-m)