Relationship between evapotranspiration and precipitation pulses in a semiarid rangeland estimated by moisture flux towers and MODIS vegetation indices

Nagler, Pamela L.; Glenn, Edward P.; Kim, H.; Emmerich, William E.; Scott, Russell L.; Huxman, Travis E.; Huete, Alfredo

doi:10.1016/j.jaridenv.2006.12.026

Cited by 126 publications

(81 citation statements)

References 40 publications

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“…The park contains more than 60 different species, size and type of landscape trees and shrubs with an additional broad coverage of Kikuyu turf grass, which is irrigated using a sprinkler system. Several research studies have successfully developed ET prediction models using VIs for different vegetation covers [19] including shrub lands [20,21], riparian sites [22][23][24][25], and over regional scales with a variety of land covers/land uses of grasslands to forests [26,27]. NDVI, the most widely used VI, quantifies the vegetation's photosynthetic response to red radiation absorption and near infrared reflectance [28][29][30][31][32][33].…”

Section: Study Areamentioning

confidence: 99%

High Spatial Resolution WorldView-2 Imagery for Mapping NDVI and Its Relationship to Temporal Urban Landscape Evapotranspiration Factors

et al. 2014

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Evapotranspiration estimation has benefitted from recent advances in remote sensing and GIS techniques particularly in agricultural applications rather than urban environments. This paper explores the relationship between urban vegetation evapotranspiration (ET) and vegetation indices derived from newly-developed high spatial resolution WorldView-2 imagery. The study site was Veale Gardens in Adelaide, Australia. Image processing was applied on five images captured from February 2012 to February 2013 using ERDAS Imagine. From 64 possible two band combinations of WorldView-2, the most reliable one (with the maximum median differences) was selected. Normalized Difference Vegetation Index (NDVI) values were derived for each category of landscape cover, namely trees, shrubs, turf grasses, impervious pavements, and water bodies. Urban landscape evapotranspiration rates for Veale Gardens were estimated through field monitoring using observational-based landscape coefficients. The relationships between remotely sensed NDVIs for the entire Veale Gardens and for individual NDVIs of different vegetation covers were compared with field measured urban landscape evapotranspiration rates. The water stress conditions experienced in January

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Section: Study Areamentioning

confidence: 99%

High Spatial Resolution WorldView-2 Imagery for Mapping NDVI and Its Relationship to Temporal Urban Landscape Evapotranspiration Factors

et al. 2014

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“…While many empirical ET models exist [68][69][70][71], the current study utilizes a model introduced by Scott et al [45] and later adjusted by Bunting et al [46] due to its dependence on only satellite derived parameters. The model follows the form:…”

Section: Empirical Et Modelmentioning

confidence: 99%

Evapotranspiration Estimates Derived Using Multi-Platform Remote Sensing in a Semiarid Region

et al. 2017

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Evapotranspiration (ET) is a key component of the water balance, especially in arid and semiarid regions. The current study takes advantage of spatially-distributed, near real-time information provided by satellite remote sensing to develop a regional scale ET product derived from remotely-sensed observations. ET is calculated by scaling PET estimated from Moderate Resolution Imaging Spectroradiometer (MODIS) products with downscaled soil moisture derived using the Soil Moisture Ocean Salinity (SMOS) satellite and a second order polynomial regression formula. The MODis-Soil Moisture ET (MOD-SMET) estimates are validated using four flux tower sites in southern Arizona USA, a calibrated empirical ET model, and model output from Version 2 of the North American Land Data Assimilation System (NLDAS-2). Validation against daily eddy covariance ET indicates correlations between 0.63 and 0.83 and root mean square errors (RMSE) between 40 and 96 W/m 2 . MOD-SMET estimates compare well to the calibrated empirical ET model, with a −0.14 difference in correlation between sites, on average. By comparison, NLDAS-2 models underestimate daily ET compared to both flux towers and MOD-SMET estimates. Our analysis shows the MOD-SMET approach to be effective for estimating ET. Because it requires limited ancillary ground-based data and no site-specific calibration, the method is applicable to regions where ground-based measurements are not available.

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“…Recent studies have combined ground measurements of evapotranspiration (ET), meteorological variables, and vegetation indices (VIs) determined by satellite sensors to project plant water use over diverse biomes, including deserts [1,2], semiarid rangelands [3], agricultural districts [4][5][6], riparian corridors [7,8], rainforests [9], and mixed landscape units at regional [10,11] and global [12,13] scales of measurement. Unlike remote sensing methods based on thermal (NIR) bands on Landsat or other high-resolution satellites, which provide a snap-shot of actual ET (ET actual ) at the time of satellite overpass [14,15], VI methods are useful in projecting ET actual over longer time periods (weeks, months and years), due to the modulated response of VIs to environmental conditions.…”

Section: The Vegetation Index Approach For Scaling Et By Remote Sensingmentioning

confidence: 99%

An Empirical Algorithm for Estimating Agricultural and Riparian Evapotranspiration Using MODIS Enhanced Vegetation Index and Ground Measurements of ET. I. Description of Method

et al. 2009

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Abstract:We used the Enhanced Vegetation Index (EVI) from MODIS to scale evapotranspiration (ET actual ) over agricultural and riparian areas along the Lower Colorado River in the southwestern US. Ground measurements of ET actual by alfalfa, saltcedar, cottonwood and arrowweed were expressed as fraction of potential (reference crop) ET o (ET o F) then regressed against EVI scaled between bare soil (0) and full vegetation cover (1.0) (EVI*). EVI* values were calculated based on maximum and minimum EVI values from a large set of riparian values in a previous study. A satisfactory relationship was found between crop and riparian plant ET o F and EVI*, with an error or uncertainty of about 20% in the mean estimate (mean ET actual = 6.2 mm d

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Relationship between evapotranspiration and precipitation pulses in a semiarid rangeland estimated by moisture flux towers and MODIS vegetation indices

Cited by 126 publications

References 40 publications

High Spatial Resolution WorldView-2 Imagery for Mapping NDVI and Its Relationship to Temporal Urban Landscape Evapotranspiration Factors

High Spatial Resolution WorldView-2 Imagery for Mapping NDVI and Its Relationship to Temporal Urban Landscape Evapotranspiration Factors

Evapotranspiration Estimates Derived Using Multi-Platform Remote Sensing in a Semiarid Region

An Empirical Algorithm for Estimating Agricultural and Riparian Evapotranspiration Using MODIS Enhanced Vegetation Index and Ground Measurements of ET. I. Description of Method

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