Monitoring playa water resources using gis and remote sensing
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Transcript of Monitoring playa water resources using gis and remote sensing
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Estimating Water Volumes in
High Plains Playa Lakes
GIS image classification and analysis
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Playas in Texas
• Dominant hydrological
feature of High Plains
• ~20,000 mapped playas
• Important source of
groundwater recharge
• Stop-over points for
migratory waterfowl
• Used for irrigation, forage,
and grazing
• Over 50 years of studies
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Playa Features
• Wetland area
defined by soil,
plants, and
hydrology
• Many playas lie
within larger
topographic
depression
• Water area varies
seasonally
Topographic depression
Water area
Wetland area
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TWDB Playa Project
BackgroundContinued drawdown of High Plains Aquifer threatens
agricultural economy of the Texas Panhandle
Project Objectives1. Determine volume and distribution of playa water
resources
2. Determine timing and magnitude of recharge under current conditions
3. Assess playa modification strategies to increase recharge
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Objective 1: Determine Volume and
Distribution of Playa Water Resource
Two strategies:
• Field monitoring
– Instrument and survey
selected playas
• Remote sensing
– Estimate water
resource region-wide
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Field Monitoring
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PROs
• Tailored to project objectives
• Continuous observations
• Access to subsurface
• Ground-truth remote/indirect
observations
CONs
• Time consuming
• Expensive
• Continual maintenance,
recalibration
• Access agreements
• Extensive QC and data
management
Field Monitoring
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Remote Sensing
PROs
• Data available for free
• Regional coverage
• 30-year archive of imagery
• Work with desk-top tools
CONs
• Clouds
• Limited resolution
• Limited frequency of
observations
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ESTIMATING PLAYA WATER
VOLUME
USING REMOTE SENSING AND
GIS METHODS
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ESTIMATING WATER VOLUME
A 3-Part Process
1. CLASSIFY WATER AREAS IN PLAYAS USING REMOTE
SENSING METHODS
2. OBTAIN PLAYA WATER SURFACE ELEVATION AND BASIN
TOPOGRAPHY USING GIS METHODS
3. ESTIMATE PLAYA VOLUME USING GIS METHODS
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PART 1
CLASSIFY PLAYA WATER AREAS
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CLASSIFY PLAYA WATER AREAS
EVALUATE AVAILABLE RS IMAGERY
• 21 Types of Remotely-Sensed Imagery were evaluated
• 17 were eliminated due to: lack of current data, wrong
scale, or simply not a good fit for the type of mapping
inherent to the project
• 4 selected for further consideration: Landsat-4, with
the Thematic Mapper sensor (TM), Landsat-5 TM, and
Landsat-5 Multi-Spectral Scanner (MSS), Landsat-7
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EVALUATE AVAILABLE RS IMAGERY (cont.)
× Landsat-4 TM, decommissioned June 2001. (need current data)
�Landsat-5 TM: improved spectral separation and
geometric fidelity, greater radiometric accuracy and
resolution than the MSS sensor. Used to monitor
changes in land surface over periods of months to
years—a near perfect fit for this project!
× Landsat-5 MSS: Landsat-5 TM better fit for this project.
× Landsat -7: The Scan Line Corrector (SLC) in the ETM+ instrument
failed in 2003; good data from 1999 – 2003.
CLASSIFY PLAYA WATER AREAS
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Obtain Landsat-5 TM Image
Readily available from
landsat.gsfc.nasa.gov OR
glovis.usgs.gov
User friendly GUI allows
obtaining by coordinates,
satellite row/path, or by
interactively selecting an
area of interest.https://glovis.usgs.gov
CLASSIFY PLAYA WATER AREAS
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Obtain Landsat-5 TM Image
CLASSIFY PLAYA WATER AREAS
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Evaluate TM Spectral Bands
Band Wavelength, µm Characteristics
1 0.45 to 0.52 Blue-green. No MSS equivalent. Maximum penetration of water,
which is useful for bathymetric mapping in shallow water. Useful for
distinguishing soil from vegetation and deciduous from coniferous
plants.
2 0.52 to 0.60 Green. Coincident with MSS band 4. Matches green reflectance peak
of vegetation, which is useful for assessing plant vigor.
3 0.63 to 0.69 Red. Coincident with MSS band 5. Matches a chlorophyll absorption
band that is important for discriminating vegetation types.
4 0.76 to 0.90 Reflected IR. Coincident with portions of MSS bands 6 and 7. Useful
for determining biomass content and for mapping shorelines.
5 1.55 to 1.75 Reflected IR. Indicates moisture content of soil and vegetation.
Penetrates thin clouds. Good contrast between vegetation types.
6 10.40 to 12.50 Thermal IR. Night time images are useful for thermal mapping and for
estimating soil moisture.
7 2.08 to 2.35 Reflected IR. Coincides with an absorption band caused by hydroxyl
ions in minerals. Ratios of bands 5 and 7 are potentially useful for
mapping hydrothermally altered rocks associated with mineral
deposits.
CLASSIFY PLAYAS WATER AREAS
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Landsat-5 TM Subscene, SE Quadrant, Floyd County
(October 15, 2010)
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Composite and Detail Views of Enlarged Landsat-5 TM Subscene,
SE Quadrant, Floyd County (October 15, 2010)
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Single, Band-5 Selected
• Initial evaluation indicated
single-spectral Band 5
classification provided best
results with minimal
processing
• Grid cells with a value of ≤60
indicate water area
• Field verification scheduled
Landsat-5 TM, Band 5
CLASSIFY PLAYA WATER AREAS
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CLASSIFY PLAYA WATER AREASField Verification - 11 May 2011
• Scheduled to coincide with
Landsat-5 image acquisition
• Cloud-free day
• Visual inspection of playas on
transect across study area
• 30 Playas in corridor classified
as wet, wet soil only, or dry
• Attributes overlaid on Landsat
imagery for further review.
Location Map of all
Field-Verified Playas
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CLASSIFY PLAYA WATER AREASField Verification—Wet Playas
Landsat-5 TM, Spectral
Band 5 (Wet Playa)Detail of Wet Playa
DETAIL AREA
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CLASSIFY PLAYA WATER AREASField Verification—Wet/Dry Playas
Landsat-5 TM, Spectral
Band 5 (Wet/Dry Playa)Detail of Wet/Dry Playa
DETAIL AREA
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CLASSIFY PLAYA WATER AREASField Verification--Dry Playas
Landsat-5 TM, Spectral
Band 5 (Dry Playa)Detail of Dry Playa
DETAIL AREA
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CLASSIFY PLAYA WATER AREASCreate Final Footprints
• Contour using Spatial
Analyst:
--input raster = Band 5
--contour interval = 60
• Isolines ≠60 removed
and non-playa water
areas clipped
• Remaining feature lines
converted to polygons
using Data Management
Tools in ArcToolBoxWet Playa Footprints, October 15, 2010
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PART 2
OBTAIN PLAYA SURFACE ELEVATION
AND
BASIN TOPOGRAPHY
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PLAYA SURFACE ELEVATION AND
BASIN TOPOGRAPHYEvaluate Available Elevation Data
• Five data-sets evaluated: National Elevation Dataset
(NED), Shuttle Radar Topography Mission (SRTM),
Digital Elevation Models (DEM), and Global 30-Arc-
Second Elevation Dataset (GTOP030).
• Major considerations included: seamless coverage,
matching scale, current data, and easily accessible
� NED Data selected (http://seamless.usgs.gov)
• regularly updated composite of the latest DEM
• seamless
• 10-meter resolution – best available for study area
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PLAYA SURFACE ELEVATION AND
BASIN TOPOGRAPHYNED (Floyd County, TX)
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PLAYA SURFACE ELEVATION AND
BASIN TOPOGRAPHYObtain Playa Surface Elevations
• Project elevation data to UTM using ArcINFO Workstation
• Create Raster point file using ArcToolBox conversion tools
• Associate maximum surface elevation with individual
playa footprints using spatial join. However…
• Extremely long processing times (11 hours!) when using
the entire NED data set so an interim step was introduced
• Spatial query used to extract points inside or near playas,
then the spatial join was applied to the refined point data
set (spatial join processing time now <2 hours).
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PLAYA SURFACE ELEVATION AND
BASIN TOPOGRAPHYCreate Final Elevation Data Set
SUMMARIZE ON PLAYA-ID
TO OBTAIN MIN/MAX
ELEVATION VALUES
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PLAYA SURFACE ELEVATION AND
BASIN TOPOGRAPHYMin/Max Elevation Attributes now
Associated with Wet Playa Footprints
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PART 3
ESTIMATE PLAYA WATER VOLUME
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ESTIMATE PLAYA WATER VOLUME
Work Directly with Raster Data
Top Surface: Generated using Polygon to Raster based
on Max Grid Elevation value
Bottom Surface: Obtained directly from projected NED
raster (no additional processing involved)
Volume Method: Use Spatial Analyst CutFill
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ESTIMATE PLAYA WATER VOLUME
Inspect Tabular Results
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ESTIMATE PLAYA WATER VOLUME
Visually Inspect “0” Volume Area(s)
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ESTIMATED WATER VOLUME, FLOYD COUNTY, TEXAS
(OCTOBER 15, 2010)Final Results
• Water identified in 741 of
the 1,721 mapped playas in
Floyd County
• Water area = 18,395 acres
(2.89% of Floyd County)
• Water volume = 97,216,952
cubic meters or 78,815 acre-
feet in Floyd County playas
on October 15, 2010.
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WHAT’S NEXT?
Additional Method Validation
and Volume Estimates
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Next Steps
Method Validation
• Playa surveys
• Area-volume and depth-
volume relationships
• Water level
observations
• Compare with remote
sensing
0
50
100
150
200
250
3238 3240 3242 3244 3246 3248
Are
a,
acr
es
Elevation, ft msl
Bivins Playa -Elevation - Area
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Method Validation
• Accuracy of RS estimates limited by:
– Image pixel size, pixel classification, and contouring
– Local accuracy of NED surface
– Landscape changes over time since underlying
topographic data collected
• Field data accuracy limited by:
– GPS accuracy (~ ½ inch vertical for Trimble R6)
– Number and distribution of grid points
– Access limitations
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• Single Floyd County
playa with field data for
10/15/2010
– RS volume estimate of
43,247 cubic meters
– Field volume estimate
of 51,218 cubic meters
based on 38 cm water
depth
– 16.9 relative percent
difference
Method Validation
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Floyd Crop Playa
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Validation Data Set
• Scale up to area of
one Landsat image tile
• TWDB data
• No TWDB playas in
image area filled in
2011
• No data for 2010
• TTU/ARS data
• 16 playas monitored
in 2010
• Look at images from 9
June, 25 June, 12
August, and 15 October
2010
TTU/ARS Playa
TWDB Playa
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QUESTIONS