Landsat Downloads & MODIS Downloads Data Sources for GIS in Water Resources by Ayse Kilic, David R. Maidment, and David G. Tarboton GIS in Water Resources.

Slides:



Advertisements
Similar presentations
NOAA National Geophysical Data Center
Advertisements

U.S. Department of the Interior U.S. Geological Survey MRTWeb: Enhanced MODIS data discovery and delivery services from the LP DAAC January 18, 2007 Tom.
MODIS Data at NSIDC MODIS Collection 5/Long Term Data Record Workshop Molly McAllister & Terry Haran January
LP DAAC Status MODIS Science Team Meeting April , 2014 Chris Doescher, PMP LP DAAC Project Manager Dr. David Meyer.
Resolution.
Green Vegetation Fraction (GVF) derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor onboard the SNPP satellite Zhangyan Jiang 1,2,
How to Download MODIS Images Dr. A.K.M. Saiful Islam, IWFM, BUET Dr. Sujit Kumar Bala, IWFM, BUET Mr. M. Golam Mahboob, BARI December 2007.
Geosynchronous Orbit A satellite in geosynchronous orbit circles the earth once each day. The time it takes for a satellite to orbit the earth is called.
A.K.M. Saiful Islam Associate Professor, IWFM, BUET December 2010
Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –
Satellite Data Access – Giovanni, LAADS, and NEO Training Workshop in Partnership with BAAQMD Santa Clara, CA September 10 – 12, 2013 Applied Remote SEnsing.
Obtaining MISR Data and Information Jeff Walter Atmospheric Science Data Center April 17, 2009.
Eric Rafn and Bill Kramber Idaho Department of Water Resources
Satellite Imagery and Remote Sensing NC Climate Fellows June 2012 DeeDee Whitaker SW Guilford High Earth/Environmental Science & Chemistry.
MODIS Subsetting and Visualization Tool: Bringing time-series satellite-based land data to the field scientist National Aeronautics and Space Administration.
1ESDIS HDF-EOS Workshop IV Landover, Maryland, September 20, 2000 The Landsat 7 Processing System ( LPS ) Level Zero-R Science Products Michael R. Reid.
Introduction to Remote Sensing. Outline What is remote sensing? The electromagnetic spectrum (EMS) The four resolutions Image Classification Incorporation.
Digital Numbers The Remote Sensing world calls cell values are also called a digital number or DN. In most of the imagery we work with the DN represents.
Assessment of Regional Vegetation Productivity: Using NDVI Temporal Profile Metrics Background NOAA satellite AVHRR data archive NDVI temporal profile.
U.S. Department of the Interior U.S. Geological Survey Diving into the Data Pool with DAAC2Disk Kelly Lemig ERT, Inc., contractor to the U.S. Geological.
December 5, 2002HDF-EOS Workshop VI1 The Goddard Earth Sciences Distributed Active Archive Center The Goddard Earth Sciences Distributed Active Archive.
Resolution Resolution. Landsat ETM+ image Learning Objectives Be able to name and define the four types of data resolution. Be able to calculate the.
1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite.
MODIS Workshop An Introduction to NASA’s Earth Observing System (EOS), Terra, and the MODIS Instrument Michele Thornton
U.S. Department of the Interior U.S. Geological Survey Access to MODIS Land Data Products Through the Land Processes DAAC John Dwyer and Carolyn Gacke,
Center Pixel Value Mean Value of All Pixels Percent of Pixels that meet QC Criteria Web and Web Services based tool that provides subsets and visualization.
MODIS Land Product Subsets Suresh K. Santhana Vannan, Robert B. Cook, Bruce E. Wilson, Lisa M. Olsen HDF and HDF-EOS Workshop XII October 15 – October.
WSL Workshop The Long and Winding Road to MODIS Data.
U.S. Department of the Interior U.S. Geological Survey USGS/EROS WCS Experience and Ideas for Landsat Data Access WGISS #27 May, 2009 Toulouse, France.
September 4, 2003MODIS Ocean Data Products Workshop, Oregon State University1 Goddard Earth Sciences (GES) Distributed Active Archive Center (DAAC) MODIS.
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
ORNL DAAC MODIS Subsetting and Visualization tools Tools and services to access subsets of MODIS data Suresh K. Santhana Vannan National Aeronautics and.
Terra Launched December 18, 1999
EG2234: Earth Observation Interactions - Land Dr Mark Cresswell.
Ordering 500m (A) 8-Day Composite Surface Reflectance and (B) 16 day NDVI MODIS Data Go to: and log in
NASA Earth Observing System Visualization Tools ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences Introduction.
LDOPE QA Tools Sadashiva Devadiga (SSAI) MODIS LDOPE January 18, 2007.
Facilitating Access to EOS Data at the NSIDC DAAC Siri Jodha Singh Khalsa ECS Science Coordinator for the National Snow and Ice Data Center, Distributed.
MODIS Snow and Sea Ice Data Products George Riggs SSAI Cryospheric Sciences Branch, NASA/GSFC Greenbelt, Md. Dorothy K.
Obtaining MISR Data and Information Nancy Ritchey Atmospheric Science Data Center March 20, 2006.
s Donna J. Scott, Marilyn Kaminski, Jason Wolfe, Terry Haran NSIDC's MODIS Snow and Sea Ice Products NSIDC provides a suite.
Vegetation Index Visualization of individual composite period. The tool provides a color coded grid display of the subset region. The tool provides time.
Terra MODIS Collection 4 / 4.5 and Aqua MODIS Collection 4; Sinusoidal Projection Data from 2000 to present; 8-day, 16-day, or annual composites Sites.
ERDAS 1: INTRODUCTION TO ERDAS IMAGINE
Environmental Remote Sensing GEOG 2021 Lecture 8 Observing platforms & systems and revision.
U.S. Department of the Interior U.S. Geological Survey Discover MODIS Land at your Desk January 17, 2007 Calli B. Jenkerson* MODIS Science Data Specialist.
MODIS Cryosphere Science Data Product Metrics Prepared by the ESDIS SOO Metrics Team for the Cryosphere Science Data Review January 11-12, 2006.
A Remote Sensing Approach for Estimating Regional Scale Surface Moisture Luke J. Marzen Associate Professor of Geography Auburn University Co-Director.
Data Processing Flow Chart Start NDVI, EVI2 are calculated and Rank SDS are incorporated Integrity Data Check: Is the data correct? Data: Download a) AVHRR.
Goddard Earth Sciences Data and Information Services Center, NASA/GSFC, Code 902, Greenbelt, Maryland 20771, USA INTRODUCTION  NASA Goddard Earth Sciences.
Overview: MODLAND Production Status, Schedule and Time Series Issues (C4 to C5 Transition) MODIS Land Collection 5 Workshop Jan. 17, 2007 Robert Wolfe.
Data acquisition From satellites with the MODIS instrument.
Obtaining MISR Data Nancy Ritchey Atmospheric Sciences Data Center May 16, 2004.
ORNL DAAC MODIS Land Product Subsets 1 Suresh K. Santhana Vannan, Robert B. Cook, Bruce E. Wilson, Lisa M. Olsen Environmental Sciences Division, Oak Ridge.
SeaWiFS Highlights July 2002 SeaWiFS Celebrates 5th Anniversary with the Fourth Global Reprocessing The SeaWiFS Project has just completed the reprocessing.
Landsat Satellite Data. 1 LSOS (1-ha) 9 Intensive Study Areas (1km x 1km) 3 Meso-cell Study Areas (25km x 25km) 1 Small Regional Study Area (1.5 o x 2.5.
Introduction MODIS NDVI
U.S. Department of the Interior U.S. Geological Survey LP DAAC Big Earth Data Initiative (BEDI) Developed Web Services 1 Jason Werpy LP DAACEnterprise.
Stennis Space Center Time Series Product Tool Don Prados Computer Sciences Corp. John C. Stennis Space Center USDA Forest Service, Asheville, NC September.
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
Remote Sensing Basics | August, Fieldwork Review.
WFM 6202: Remote Sensing and GIS in Water Management
NASA Aqua.
Performance Performance is fundamentally limited by: Size of data
Digital Numbers The Remote Sensing world calls cell values are also called a digital number or DN. In most of the imagery we work with the DN represents.
Satellite Sensors – Historical Perspectives
NASA alert as Russian and US satellites crash in space
MODIS L1B Data Product Uncertainty Index Jack Xiong (Xiaoxiong
Planning a Remote Sensing Project
Igor Appel Alexander Kokhanovsky
Presentation transcript:

Landsat Downloads & MODIS Downloads Data Sources for GIS in Water Resources by Ayse Kilic, David R. Maidment, and David G. Tarboton GIS in Water Resources Fall 2012

Landsat – 30 m x 30 m pixels 1972 – present Thermal imager since 1984 Center Pivot irrigated fields near Kearney, Nebraska, 2011

Zoom In – Here is Nebraska

Zoom In More– Here is Lincoln, Nebraska

Press “Select Scenes” to: a) get Landsat image background b) “Find” 657 !!! Landsat scenes for Lincoln, Nebraska from c) Move the “Slide bar” to progress through the scenes in viewer

d) Press “Table” to get list of all images (657) available for the Path/Row covering Lincoln, NE. e) Check the images you want, f) “Add to Cart” g) Select “Showing” and select “cart” in dropdown to add to cart

h) In cart menu, recheck image dates to order, i) Press “Get Landsat Data” and j) You have just ordered Landsat images!! k) Press Metadata button to see what path/row (29/32) you are on.

Brazil Texas Each Landsat path is 160 km wide Each row is 160 km tall Landsat 7 has 6 reflected bands (blue, green, red, 3 infrared) and one thermal band

Another option to download Landsat data Path/Row-29/32

The Moderate Resolution Imaging Spectroradiometer (MODIS) Operating on both the Terra and Aqua spacecraft. It has a viewing swath width of 2,330 km Views the entire surface of the Earth every one to two days. Its detectors measure 36 spectral bands It acquires data at three spatial resolutions: 250-m, 500-m, and 1,000-m. Bands 1– meter Bands 3– meter Bands 8– meter

MODIS data download steps: 1. &spatial_type=rectanglehttp://reverb.echo.nasa.gov/reverb/#utf8=%E2%9C%93&spatial_map=satellite &spatial_type=rectangle 2.Use Map view 3.Bounding box to define the area of interest 4.Use search terms to find the data you are looking for i.e. NDVI 5.Define the time period 6.Select the dataset 7.Hit “Search for granules” 8.Select all granules 9.View items in chart 10.Download data and text (for the ftp address) 11.Open word file (under format- choose word wrap) 12.Copy-paste ftp address to view the NDVI file (JPEG) on a browser Vegetation Indices 16-Day L3 Global 1km - MYD13A Under ‘layers’ tab, find the table (Science Data Sets for MODIS Aqua Vegetation Indices 16-Day L3 Global 1km SIN Grid V005 (MYD13A2): Find the multiplier 17.Multiply the image (hdf file) with to create a raster image of NDVI in ArcGIS

MODIS Naming Conventions example, the filenameMOD09A1.A h08v hdf indicates: MOD09A1 - Product Short Name.A Julian Date of Acquisition (A-YYYYDDD).h08v05 - Tile Identifier (horizontalXXverticalYY) Collection Version Julian Date of Production (YYYYDDDHHMMSS).hdf - Data Format (HDF-EOS) The MODIS Long Name (i.e., Collection-Level) convention also provides useful information. For example, all products belonging to the MODIS/Terra Surface Reflectance 8-Day L3 Global 500m SIN Grid V005 collection have the following characteristics: MODIS/Terra - Instrument/Sensor Surface Reflectance - Geophysical Parameter 8-Day - Temporal Resolution L3 - Processing Level Global - Global or Swath 500m - Spatial Resolution SIN Grid - Gridded or Not V005 - Collection Version MODIS Temporal Resolution The high level MODIS Land products distributed from LP DAAC are produced at various temporal resolutions, based on the instruments' orbital cycle. These time steps are possible in the generation of MODIS Land products: Daily, 8-Day, 16-Day, Monthly, Quarterly, Yearly MODIS Spatial Resolution The MODIS instruments acquire data in three native spatial resolutions: Bands 1– meter Bands 3– meter Bands 8– meter The high level MODIS Land Products distributed from LP DAAC are produced at four nominal spatial resolutions: 250-meter, 500-meter, 1000-meter, and 5600-meter (0.05 degrees).

MODIS download steps

ftp://e4ftl01.cr.usgs.gov/WORKING/BRWS/Browse.001/ /BROWSE.MOD13A2.A h10v jpg

Parameters to use for hdf file view view ucts_table/mod13a2 ucts_table/mod13a2 Dataset MULTIPLY BY SCALE FACTOR

MOD13A2

Science Data Sets for MODIS Terra Vegetation Indices 16-Day L3 Global 1km SIN Grid V005 (MOD13A2) Science Data Sets (HDF Layers) (12) UNITSFILLVALID RANGEMULTIPLY BY SCALE FACTOR 1km 16 days NDVINDVI , km 16 days EVIEVI , km 16 days VI Quality detailed QA Bits655350, 65534NA 1km 16 days red reflectance (Band 1) Reflectance-10000, km 16 days NIR reflectance (Band 2) Reflectance-10000, km 16 days blue reflectance (Band 3) Reflectance-10000, km 16 days MIR reflectance (Band 7) Reflectance-10000, km 16 days view zenith angle Degree , km 16 days sun zenith angle Degree , km 16 days relative azimuth angle Degree , km 16 days composite day of the year Julian day of year1, 366NA 1km 16 days pixel reliability summary QA Rank0, 4NA

Spatial analyst tool/Math