Building a GIS Dataset of the Walnut Creek Watershed Sally Holl.

Slides:



Advertisements
Similar presentations
Comparison between the United States Soil Conservation Service (SCS) curve number, the Pitman and Monarch models for estimating rainfall-runoff in South-Eastern.
Advertisements

Characteristics, uses, and sources Introduction to DEMs.
Famine Early Warning System Network (FEWS NET) Venkatesh Merwade Kristi Shaw.
Geography Tools For Geographers. Geography Tools Database - A collection of information that can be analyzed and are often used with other tools to answer.
West Hills College Farm of the Future. West Hills College Farm of the Future Where are you NOW?! Precision Agriculture – Lesson 3.
GIS-Data Sources Francisco Olivera, Ph.D., P.E. Srikanth Koka Department of Civil Engineering Texas A&M University.
Identifying Soil Types using Soil moisture data CVEN 689 BY Uday Sant April 26, 2004.
Technology Overview Geographic Information Systems.
The first three rows in equation control the estimates of soil moisture from the regression equation assuring that the estimated soil moisture content.
Paradise Stream Watershed Assessment Data Gap Evaluation Principle Investigator/ Presented by: Mr. Brian Oram, PG, PASEO Co-PI’s: Dr. Dale Bruns & Mr.
GUS: 0262 Fundamentals of GIS Lecture Presentation 1: Introduction Jeremy Mennis Department of Geography and Urban Studies Temple University.
Soil Moisture Algorithm Results Oklahoma H Polarization Shown here are 1.4 GHz results obtained using an aircraft sensor and 19 GHz satellite data The.
Integrated Approach for Assessing the Characteristic of Groundwater Recharge in Basin Scale Hsin-Fu Yeh*, Cheng-Haw Lee, Kuo-Chin Hsu Department of Resources.
Utilization of the SWAT Model and Remote Sensing to Demonstrate the Effects of Shrub Encroachment on a Small Watershed Jason Afinowicz Department of Biological.
CEE 795 Water Resources Modeling and GIS Learning Objectives: List the essential data needed for water resource modeling Identify sources of water resources.
SMEX04/NAME Soil Moisture Remote Sensing Field Experiment Status Report 11/6/03.
Dept. of Civil and Environmental Engineering and Geodetic Science College of Engineering The Ohio State University Columbus, Ohio 43210
Geography 121 Lab #4 Finding Landsat Data November 8, 2006 Dave Alleman Pat Clancy Sarah Gustafson.
Lesson 2 Earth System Observation: NASA’s Earth Observation System (EOS) Satellites NOAA’s Polar Orbiting and Geostationary Satellites.
Detection of earlier snowmelt in the Wind River Range, Wyoming, using the Landsat Image Archive, Landsat Operational Land Imager (OLI) image.
Remote sensing for Earth observation Dr Nigel Trodd Coventry University.
State of USDA Science: Water Management and Water Conservation Dale Bucks, Susan Moran, Dave Goodrich, Mark Weltz, and Numerous ARS Scientists.
Soil Moisture Active/Passive Field Campaign 2012 (SMAPVEx): Carmen-Portage la Prairie A Partnership between Agriculture Canada, NASA, US Department of.
U.S. Department of the Interior U.S. Geological Survey Analysis of Resolution and Resampling on GIS Data Values E. Lynn Usery U.S. Geological Survey University.
ACWQ Austin Canopy & Water Quality Progress Report: Austin Tree-Canopy Resource, Phase II Spring 2012, Geography 4427, Texas State University April 2,
Comparison of Seasonal Terrestrial Water Storage Variations from GRACE with in situ Measurements from the High Plains Aquifer Gil Strassberg 1, Bridget.
Videos and Questions. Aqua phttp://aqua.nasa.gov/reference/visualizations.ph p Launch separation sequence,
PHAiRS : Dust Modeling PHAiRS : Dust Modeling Dazhong Yin Slobodan Nickovic William A. Sprigg March 14, 2006.
Passive Microwave Remote Sensing
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,
William Crosson, Ashutosh Limaye, Charles Laymon National Space Science and Technology Center Huntsville, Alabama, USA Soil Moisture Retrievals Using C-
INTRODUCTION TO GEOGRAPHICAL INFORMATION SCIENCE RSG620 Week 1, Lecture 2 April 11, 2012 Department of RS and GISc Institute of Space Technology, Karachi.
DIGITAL ELEVATION MODELING GEOG 421: DR. SHUNFU HU, SIUE Project One Steve Klaas Fall 2013.
Engineering Hydrology (ECIV 4323)
Remote sensing for surface water hydrology RS applications for assessment of hydrometeorological states and fluxes –Soil moisture, snow cover, snow water.
Land Surface Modeling Studies in Support of AQUA AMSR-E Validation PI: Eric F. Wood, Princeton University Project Goal: To provide modeling support to.
REMOTE SENSING IN EARTH & SPACE SCIENCE
EGSC WaterSMART-irrigation water use research John W. Jones USGS Eastern Geographic Science Center March 08, 2012 Input for the ACF WaterSMART Stakeholders.
Assessing the Phenological Suitability of Global Landsat Data Sets for Forest Change Analysis The Global Land Cover Facility What does.
NPOESS Conical Scanning Microwave Imager/ Sounder (CMIS) Overview
INNOVATIVE SOLUTIONS for a safer, better world Capability of passive microwave and SNODAS SWE estimates for hydrologic predictions in selected U.S. watersheds.
Soil Moisture datasets for seasonal and decadal forecast Stefano Materia, Andrea Borrelli
NOAA’s National Climatic Data Center Climate Service Partnership Activities At NOAA’s National Climatic Data Center Tim Owen Climate Prediction Applications.
1 October 8, 2015 GIS Day 2015 Geospatial Technologies GPS (global positioning system) –Car GPS systems, yield monitors, smart phones RS (remote sensing)
Soil Moisture Active/Passive Field Campaign 2012 (SMAPVEx): Carmen-Portage la Prairie A Partnership between Agriculture Canada, NASA, US Department of.
Science of the Aqua Mission By: Michael Banta ESS 5 th class Ms. Jakubowyc December 7, 2006.
What is geography? What is the location of the Atlantic Ocean relative to Africa?
A Remote Sensing Sampler. Typical reflectance spectra Remote Sensing Applications Consultants -
Distance measure Point A: UTM Eastings = 450,000m; Northings = 4,500,000m Point B: UTM Eastings = 550,000m; Northings = 4,500,000m.
Geog. 377: Introduction to GIS - Lecture 10 Overheads Methods of Data Input Topics Lecture 11: GIS Database Creation and Maintenance (I) Readings.
Working Group: Data Foundations and Terminology (Practical Policy Considerations) Reagan Moore.
Passive Microwave Remote Sensing
JPL Technical Activities
Snow on Earth: The Global Cryosphere.
Term Project Presentation
Geographic Information Systems “GIS”
GIS Basic Training June 7, 2007 – ICIT Midyear Conference
Terrestrial-atmosphere (1)
NASA Aqua.
Engineering Hydrology (ECIV 4323)
Data Sources for GIS in Water Resources by David R
An Enhanced Canopy Cover Layer for Hydrologic Modeling
Modeling a Spatially Distributed Water Balance Using TOPMODEL
Geography 121 Lab #4 Finding Landsat Data
Spatial Variation in Corn and Soybean Fields in Central Iowa
Planning a Remote Sensing Project
Data Sources for GIS in Water Resources
Engineering Hydrology (ECIV 4323)
Presentation transcript:

Building a GIS Dataset of the Walnut Creek Watershed Sally Holl

Outline Objectives Background: SGP Soil Moisture Experiments Why Iowa? Methods used to assemble the dataset Future work

Objectives To assemble a geospatial dataset in preparation for SGP01 To use this dataset as a base for field data collection

Background: ESE Providing a Global Perspective: NASA's Earth Science Enterprise Goal: To develop understanding of the total Earth system and the effects of natural and human-induced changes on the global environment.

Background: EOS NASA EOS – Earth Observing System Goal: To observe atmosphere, ocean, and land interactions over long periods of time to see how the Earth functions as a unified system. EOS Aqua Mission

Background: Aqua U.S.A: NASA Japan: NASDA

Background: Aqua Atmosphere Ocean Land Cryosphere

Background: Aqua Land Soil Moisture

Remote Sensing of Soil Moisture

AMSR: Advanced Microwave Scanning Radiometer

Outline Objectives Background: SGP Soil Moisture Experiments Why Iowa? Methods used to assemble the dataset Future work

Iowa: Location

Walnut Creek: Location

Iowa: Land Use Landsat TM Image of the Walnut Creek, Iowa Study Area obtained in July, 1999.

Iowa: Land Use Walnut Creek, Iowa Typical Corn Canopy on June 28, 2000.

Iowa: Land Use Walnut Creek, Iowa Typical Row Soybeans on June 28, 2000.

Outline Objectives Background: SGP Soil Moisture Experiments Why Iowa? Methods used to assemble the dataset Future work

Data Collection and Input Political boundaries Watershed boundaries River networks Flight lines Soils Precipitation DEM

Data Collection and Input Political boundaries Watershed boundaries River networks Flight lines Soils Precipitation DEM

Data Collection and Input Political boundaries Watershed boundaries River networks Flight lines Soils Precipitation DEM

Walnut Creek Walnut Creek is part of the South Skunk River Basin USGS Cataloging Unit:

Data Collection and Input Political boundaries Watershed boundaries River networks Flight lines Soils Precipitation DEM

Flight lines

Data Collection and Input Political boundaries Watershed boundaries River networks Flight lines Soils Precipitation DEM

STATSGO

Soil Data

Data Collection and Input Political boundaries Watershed boundaries River networks Flight lines Soils Precipitation DEM

Precipitation USDA Prism site: Boone County Story County June avg.July avg.

Data Collection and Input Political boundaries Watershed boundaries River networks Flight lines Soils Precipitation Road network

Road Network Iowa Department of Natural Resources Natural Resources Geographic Information System (NRGIS) Library

Results Geospatial database that can be queried for useful information about the study site, Walnut Creek.

Results: Applications

Future Work Add more useful components –Land ownership –Temperature, evapotranspiration –Sampling site points Combine tables Perform spatial analysis to choose sampling sites Record field data

Outline Objectives Background: SGP Soil Moisture Experiments Why Iowa? Methods used to assemble the dataset Future work

Fin