Mapping Annual Riparian Water Use Based on the Single-Satellite-Scene Approach

The accurate estimation of water use by groundwater-dependent riparian vegetation is of great importance to sustainable water resource management in arid/semi-arid regions. Remote sensing methods can be effective in this regard, as they capture the inherent spatial variability in riparian ecosystems. The single-satellite-scene (SSS) method uses a derivation of the Normalized Difference Vegetation Index (NDVI) from a single space-borne image during the peak growing season and minimal ground-based meteorological data to estimate the annual riparian water use on a distributed basis. This method was applied to a riparian ecosystem dominated by tamarisk along a section of the lower Colorado River in southern California. The results were compared against the estimates of a previously validated remotely sensed energy balance model for the year 2008 at two different spatial scales. A pixel-wide comparison showed good correlation (R2 = 0.86), with a mean residual error of less than 104 mm∙year−1 (18%). This error reduced to less than 95 mm∙year−1 (15%) when larger areas were used in comparisons. In addition, the accuracy improved significantly when areas with no and low vegetation cover were excluded from the analysis. The SSS method was then applied to estimate the riparian water use for a 23-year period (1988–2010). The average annual water use over this period was 748 mm∙year−1 for the entire study area, with large spatial variability depending on vegetation density. Comparisons with two independent water use estimates showed significant differences. The MODIS evapotranspiration product (MOD16) was 82% smaller, and the crop-coefficient approach employed by the US Bureau of Reclamation was 96% larger, than that from the SSS method on average.

[1]  Rebecca S. Harms,et al.  Vegetation Response Following Invasive Tamarisk (Tamarix spp.) Removal and Implications for Riparian Restoration , 2006 .

[2]  Martha C. Anderson,et al.  A comparison of operational remote sensing-based models for estimating crop evapotranspiration , 2009 .

[3]  Hui Qing Liu,et al.  A feedback based modification of the NDVI to minimize canopy background and atmospheric noise , 1995, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Pamela L. Nagler,et al.  Wide‐Area Estimates of Stand Structure and Water Use of Tamarix spp. on the Lower Colorado River: Implications for Restoration and Water Management Projects , 2008 .

[5]  Alan H. Strahler,et al.  Global land cover mapping from MODIS: algorithms and early results , 2002 .

[6]  C. Brouwer,et al.  Irrigation water management training manual no.3 irrigation water needs , 1985 .

[7]  Pamela L. Nagler,et al.  Comparative ecophysiology of Tamarix ramosissima and native trees in western U.S. riparian zones , 2005 .

[8]  Damien Sulla-Menashe,et al.  MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .

[9]  Pamela L. Nagler,et al.  Predicting riparian evapotranspiration from MODIS vegetation indices and meteorological data , 2005 .

[10]  R. Scott Murray,et al.  Regional scale impacts of Tamarix leaf beetles (Diorhabda carinulata) on the water availability of western U.S. rivers as determined by multi-scale remote sensing methods☆ , 2012 .

[11]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[12]  J. A. Tolk,et al.  ET mapping for agricultural water management: present status and challenges , 2008, Irrigation Science.

[13]  W. Nichols.  Regional Ground-Water Evapotranspiration and Ground- Water Budgets, Great Basin, Nevada , 2001 .

[14]  R. Allen,et al.  Operational Remote Sensing of ET and Challenges , 2012 .

[15]  Justin L. Huntington,et al.  Estimating Annual Groundwater Evapotranspiration from Phreatophytes in the Great Basin Using Landsat and Flux Tower Measurements , 2013 .

[16]  Craig L. Westenburg,et al.  Evapotranspiration by phreatophytes along the lower Colorado River at Havasu National Wildlife Refuge, Arizona , 2006 .

[17]  Pamela L. Nagler,et al.  A simple method for estimating basin-scale groundwater discharge by vegetation in the basin and range province of Arizona using remote sensing information and geographic information systems , 2012 .

[18]  C. Neale,et al.  Water Use and Stream‐Aquifer‐Phreatophyte Interaction Along a Tamarisk‐Dominated Segment of the Lower Colorado River , 2014 .

[19]  Pamela L. Nagler,et al.  Multiyear riparian evapotranspiration and groundwater use for a semiarid watershed , 2008 .

[20]  Richard G. Allen,et al.  Prediction Accuracy for Projectwide Evapotranspiration Using Crop Coefficients and Reference Evapotranspiration , 2005 .

[21]  T. Whitham,et al.  Salt cedar negatively affects biodiversity of aquatic Macroinvertebrates , 2009, Wetlands.

[22]  Derrel L. Martin,et al.  Satellite-Based Energy Balance Approach to Assess Riparian Water Use , 2013 .

[23]  P. Nagler,et al.  Greenup and evapotranspiration following the Minute 319 pulse flow to Mexico: An analysis using Landsat 8 Normalized Difference Vegetation Index (NDVI) data , 2017 .

[24]  J. Monteith.  Evaporation and environment. , 1965, Symposia of the Society for Experimental Biology.

[25]  James Cleverly,et al.  Bowen Ratio estimates of evapotranspiration for Tamarix ramosissima stands on the Virgin River in southern Nevada , 1998 .

[26]  Trent W. Biggs,et al.  Mapping daily and seasonal evapotranspiration from irrigated crops using global climate grids and satellite imagery: Automation and methods comparison , 2016 .

[27]  Maosheng Zhao,et al.  Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .

[28]  Pamela L. Nagler,et al.  Rapid dispersal of saltcedar (Tamarix spp.) biocontrol beetles (Diorhabda carinulata) on a desert river detected by phenocams, MODIS imagery and ground observations , 2014 .

[29]  E. Glenn,et al.  Growth rates, salt tolerance and water use characteristics of native and invasive riparian plants from the delta of the Colorado River, Mexico , 1998 .

[30]  Richard G. Allen,et al.  Evapotranspiration information reporting: II. Recommended documentation , 2011 .

[31]  R. Scott Murray,et al.  An Empirical Algorithm for Estimating Agricultural and Riparian Evapotranspiration Using MODIS Enhanced Vegetation Index and Ground Measurements of ET. I. Description of Method , 2009, Remote. Sens..

[32]  M. Mccabe,et al.  Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data , 2008 .

[33]  J. M. D. Tomaso,et al.  Impact, biology, and ecology of saltcedar (Tamarix spp.) in the southwestern United States , 1998 .

[34]  M. Keith Owens,et al.  Saltcedar Water Use: Realistic and Unrealistic Expectations , 2007 .

[35]  R. Scott Murray,et al.  An Empirical Algorithm for Estimating Agricultural and Riparian Evapotranspiration Using MODIS Enhanced Vegetation Index and Ground Measurements of ET. II. Application to the Lower Colorado River, U.S , 2009, Remote. Sens..

[36]  A. Huete,et al.  A Modified Soil Adjusted Vegetation Index , 1994 .

[37]  K. Didan,et al.  Wide‐area estimates of saltcedar (Tamarix spp.) evapotranspiration on the lower Colorado River measured by heat balance and remote sensing methods , 2009 .

[38]  Richard G. Allen,et al.  Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model , 2007 .

[39]  A. Holtslag,et al.  A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .

[40]  Justin L. Huntington,et al.  Assessing Calibration Uncertainty and Automation for Estimating Evapotranspiration from Agricultural Areas Using METRIC , 2013 .

[41]  G. Senay,et al.  A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: Using point and gridded FLUXNET and water balance ET , 2013 .

[42]  L. Aragão,et al.  Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin , 2013 .

[43]  J. Stromberg,et al.  Effects of Fire on Riparian Forests Along a Free-Flowing Dryland River , 2010, Wetlands.

[44]  J. Stromberg.  Functional equivalency of saltcedar (Tamarix Chinensis) and fremont cottonwood (Populus fremonth) along a free-flowing river , 1998, Wetlands.

[45]  D. Groeneveld,et al.  Remotely-sensed groundwater evapotranspiration from alkali scrub affected by declining water table , 2008 .

[46]  W. N. White.  A method of estimating ground-water supplies based on discharge by plants and evaporation from soil--results of investigations in Escalante Valley, Utah , 1932 .

[47]  Maosheng Zhao,et al.  Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .

[48]  W. Bastiaanssen,et al.  A remote sensing surface energy balance algorithm for land (SEBAL). , 1998 .

[49]  A. Bawazir,et al.  Using ASTER satellite data to calculate riparian evapotranspiration in the Middle Rio Grande, New Mexico , 2009 .

[50]  E. Noordman,et al.  SEBAL model with remotely sensed data to improve water-resources management under actual field conditions , 2005 .

[51]  Hui Qing Liu,et al.  An error and sensitivity analysis of the atmospheric- and soil-correcting variants of the NDVI for the MODIS-EOS , 1994, IEEE Trans. Geosci. Remote. Sens..

[52]  William M. Baugh,et al.  Correcting satellite data to detect vegetation signal for eco-hydrologic analyses , 2007 .

[53]  Feng Gao,et al.  LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code , 2012 .

[54]  L. S. Pereira,et al.  Evapotranspiration information reporting: I. Factors governing measurement accuracy , 2011 .

[55]  R. J. Laczniak,et al.  Mapping Evapotranspiration Units in the Basin and Range Carbonate-Rock Aquifer System, White Pine County, Nevada, and Adjacent Areas in Nevada and Utah , 2007 .

[56]  Jesse D. Roberts,et al.  Cost/Benefit Considerations for Recent Saltcedar Control, Middle Pecos River, New Mexico , 2009, Environmental management.

[57]  Dale A. Devitt,et al.  Invasive capacity of Tamarix ramosissima in a Mojave Desert floodplain: the role of drought , 1997, Oecologia.

[58]  E. Glenn,et al.  Long-term sustainability of the hydrology and vegetation of Cienega de Santa Clara, an anthropogenic wetland created by disposal of agricultural drain water in the delta of the Colorado River, Mexico , 2013 .

[59]  Edward P. Glenn,et al.  Evapotranspiration dynamics and effects on groundwater recharge and discharge at an arid waste disposal site , 2016 .

[60]  Pamela L. Nagler,et al.  Integrating Remote Sensing and Ground Methods to Estimate Evapotranspiration , 2007 .

[61]  Pamela L. Nagler,et al.  Estimating Riparian and Agricultural Actual Evapotranspiration by Reference Evapotranspiration and MODIS Enhanced Vegetation Index , 2013, Remote. Sens..

[62]  J. Huntington,et al.  Reduced evapotranspiration from leaf beetle induced tamarisk defoliation in the Lower Virgin River using satellite‐based energy balance , 2016 .

[63]  D. E. Busch,et al.  Effects of fire on water and salinity relations of riparian woody taxa , 1993, Oecologia.

[64]  J. L. Smith,et al.  Evapotranspiration from the Lower Walker River Basin, West-Central Nevada, Water Years 2005-07 , 2009 .

[65]  William M. Baugh,et al.  Annual groundwater evapotranspiration mapped from single satellite scenes , 2007 .

[66]  E. Glenn,et al.  Tolerance of five riparian plants from the lower Colorado River to salinity drought and inundation , 2001 .

[67]  Pamela L. Nagler,et al.  Evapotranspiration on western U.S. rivers estimated using the Enhanced Vegetation Index from MODIS and data from eddy covariance and Bowen ratio flux towers , 2005 .