NDVI during wet and dry periods in Puerto Rico Eric Harmsen Course: Satellite Direct Broadcast in Support of Real-Time Environmental Applications 26-29.

Slides:

Advertisements

Similar presentations

NAFE 3rd Workshop Sept 2007 Vegetation Water Status from Optical Remote Sensing ___ Preliminary results from the NAFE05 experiment Philippe Maisongrande,

Advertisements

NDVI Anomaly, Kenya, January 2009 Vegetation Indices Enhancing green vegetation using mathematical equations and transformations.

VIIRS LST Uncertainty Estimation And Quality Assessment of Suomi NPP VIIRS Land Surface Temperature Product 1 CICS, University of Maryland, College Park;

Equator Tropic of Cancer AFRICA ASIA Latitudes near the North Pole NORTH AMERICA We will examine a set of images and maps produced by NASA (vegetation.

EXPLORING LINKAGES BETWEEN PLANT- AVAILABLE SOIL MOISTURE, VEGETATION PHENOLOGY AND CONVECTIVE INITIATION By Julian Brimelow and John Hanesiak.

The University of Mississippi Geoinformatics Center NASA MRC RPC review meeting, April 2008 Use of NASA Assets for Predicting Wildfire Potential.

Remote Sensing of Hydrological Variables over the Red Arkansas Eric Wood Matthew McCabe Rafal Wojcik Hongbo Su Huilin Gao Justin Sheffield Princeton University.

The first three rows in equation control the estimates of soil moisture from the regression equation assuring that the estimated soil moisture content.

Meteorological satellites – National Oceanographic and Atmospheric Administration (NOAA)-Polar Orbiting Environmental Satellite (POES) Orbital characteristics.

CSIRO LAND and WATER Estimation of Spatial Actual Evapotranspiration to Close Water Balance in Irrigation Systems 1- Key Research Issues 2- Evapotranspiration.

WMO / COST 718 Expert Meeting on Weather, Climate and Farmers November 2004 Geneva, Switzerland.

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.

Satellite Data Access – Giovanni, LAADS, and NEO Training Workshop in Partnership with BAAQMD Santa Clara, CA September 10 – 12, 2013 Applied Remote SEnsing.

Learning objective: To be able to explain the causes and characteristics of droughts Regional distribution of disasters by type [ ] Describe.

The Use of AVHRR NDVI in Environmental Applications Contact: Elizabeth R. McDonald ERIN Remote Sensing Coordinator Department of the Environment and Heritage.

Eric Rafn and Bill Kramber Idaho Department of Water Resources

The University of Mississippi Geoinformatics Center NASA MRC RPC: April 2008 Greg Easson, Ph.D.- (PI) Robert Holt, Ph.D.- (Co-PI) A. K. M. Azad Hossain.

Satellite Observations of Climate and Vegetation Water Use over the Sierra Nevada Eric Waller Department of Environmental Science, Policy, and Management.

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.

Review of Statistics and Linear Algebra Mean: Variance:

Tracking impacts of 2012 droughts on crop condition through daily satellite observations Currently droughts are affecting production in multiple main agricultural.

ASSESSMENT OF ALBEDO CHANGES AND THEIR DRIVING FACTORS OVER THE QINGHAI-TIBETAN PLATEAU B. Zhang, L. Lei, Hao Zhang, L. Zhang and Z. Zen WE4.T Geology.

1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite.

Current Conditions in Northern Hemisphere Crop NDVI Anomaly, August 13th, Worse than normal normal Better than normal Crop NDVI Anomaly.

Hydrologic Related Activities within the Joint Institute for Caribbean Climate Studies Eric Harmsen, Ph.D., P.E. Dept. of Agricultural and Biosystems Engineering.

Ground-based energy flux measurements for calibration of the Advanced Thermal and Land Application Sensor (ATLAS) Eric Harmsen, Associate Professor Dept.

Remote Sensing of Vegetation. Vegetation and Photosynthesis About 70% of the Earth’s land surface is covered by vegetation with perennial or seasonal.

Vegetation Index Date (time step 16 days) 2010 Season 2005 (average yield season) 2003 (high yield season) Mean NDVI curve ( ) Vegetation Index.

Calibration/Validation Efforts at Calibration/Validation Efforts at UPRM Hamed Parsiani, Electrical & Computer Engineering Department University of Puerto.

Remote Sensing of Evapotranspiration with MODIS

Air Quality (or, where’d that building go?) Holli Riebeek Frank Niepold Ana Prados Katie Stofer Kevin Ward Tamara Shapiro Ledley.

14 ARM Science Team Meeting, Albuquerque, NM, March 21-26, 2004 Canada Centre for Remote Sensing - Centre canadien de télédétection Geomatics Canada Natural.

Assessing the Phenological Suitability of Global Landsat Data Sets for Forest Change Analysis The Global Land Cover Facility What does.

Long-term drought assessment of Northern Central African continent using Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST)

Cloud Mask: Results, Frequency, Bit Mapping, and Validation UW Cloud Mask Working Group.

Ground-based energy flux measurements for calibration of the Advanced Thermal and Land Application Sensor (ATLAS) Eric Harmsen, Associate Professor Dept.

Early Detection & Monitoring North America Drought from Space

Observing Laramie Basin Grassland Phenology Using MODIS Josh Reynolds with PROPOSED RESEARCH PROJECT Acknowledgments Steven Prager, Dept. of Geography.

A Remote Sensing Approach for Estimating Regional Scale Surface Moisture Luke J. Marzen Associate Professor of Geography Auburn University Co-Director.

Lecture Notes – Vegetation indices Fred Watson, ENVS 436/536, CSUMB, Fall 2010 Many of these slides are from Jianglong Zhang and Cindy Schmidt.

Ag Talk 30 Jan What the Weather Will Bring or Agricultural Weather in Wisconsin Wisconsin Agri-Service Association 9 th Annual Trade Show 30 January.

MOLLY E. BROWN, PHD NASA GODDARD GIMMS Group Challenges of AVHRR Vegetation Data for Real Time Applications.

Assessment on Phytoplankton Quantity in Coastal Area by Using Remote Sensing Data RI Songgun Marine Environment Monitoring and Forecasting Division State.

Three Year Drought Analysis A Tasseled Cap Transformation Folsom Lake, CA Joseph Watkins GEOG 342 Final Project.

Weather & Climate. Weather & Climate Definitions Weather- “the state of the atmosphere with respect to heat or cold, wetness or dryness, calm or storm,

Bijay Shrestha NASA RPC Ag-Efficiency, July 10, 2007 DATA FUSION TO PRODUCE CLOUD-FREE TEMPORAL NDVI CROSS PLATFORM COMPOSITES USING TEMPORAL MAP ALGEBRA.

Askar Choudhury, James Jones, John Kostelnick, Frank Danquah,

Weather Data Summary.

Adverse Effects of Drought on Air Quality in the US

Drought Analysis of Utah County

Fly Expertly. Detect Truthfully. Perform Consistently.

Dust detection methods applied to MODIS and VIIRS

STUDY ON THE PHENOLOGY OF ASPEN

VegDRI Products Additional VegDRI products for rangeland decision makers and other users will be available at the VegDRI page within the Monitoring section.

Potential Evapotranspiration (PET)

Jili Qu Department of Environmental and Architectural College

An Introduction to VegDRI

DEPT OF CIVIL ENGINEERING, TEXAS A&M UNIVERSITY MAY 03, 2004

Konstantin Ivushkin1, Harm Bartholomeus1, Arnold K

William J Hernandez David Gonzalez April 29, 2016

Earth and Environmental Science

Abiotic stress, the field environment and stress combination

Rice monitoring in Taiwan

NASA Images & MAPS We will examine a set of images and maps produced by NASA (vegetation images, land cover and population maps) and we will look for connections.

Research Project Mean vulnerability to drought 1990–2005 for wheat production. Vulnerability to drought is low (high) when crop failures are small (big)

Showing Drought Stress in Sacramento Parks

Presentation transcript:

NDVI during wet and dry periods in Puerto Rico Eric Harmsen Course: Satellite Direct Broadcast in Support of Real-Time Environmental Applications April

Overview The Normalized Difference Vegetation Index (NDVI) is and indicator of the presence of green vegetation. Importance: to assess vegetation health My project: Comparison of the NDVI over Puerto Rico during during wet (Dec 8, 2014) and dry (May 8, 2015). Severe drought occurred during the dry period. I found that the NDVI was a relatively good measure of drought conditions, however, other indicators (e.g., the soil moisture saturation and crop stress coefficient) may be better indicators. 2

Methods A clear sky image (Dec 8, 2014) and MODIS data files were provided by the instructor. A second data set was obtained exhibiting drought conditions. 1.Identify appropriate image using NASA Worldview website. 2.Download archived MODIS data from Level 1 and Atmosphere Archive and Distribution Service (LAADS). 3.Evaluate NDVI for the two dates using the following equation NDVI = (NIR-VIS)/(NIR+VIS) 4. Compare NDVI for both dates 5. Compare drought NDVI image with soil moisture saturation and crop stress coefficient. 3

4

5

6 Dec 8, 2014 May 8, 2014

7

NDVI December 8, 2014 Clouds

NDVI May 8, 2015

10 Brightness temperature transect between San Juan and El Yunque, Puerto Rico

11

12

Conclusions NDVI is a relatively good indicator of Vegetation health Significant differences were observed between the wet and dry conditions. Cloud cover can result in erroneous values of the NDVI Comparison of the NDVI for the drought conditions with soil moisture saturation and crop stress coefficient show that NDVI is less sensitive the potential adverse conditions on the ground. 13

14