Predicting riparian evapotranspiration from MODIS vegetation indices and meteorological data

Nagler, Pamela L.; Cleverly, James; Glenn, Edward P.; Lampkin, D. J.; Huete, Alfredo; Wan, Zhengming

doi:10.1016/j.rse.2004.08.009

Cited by 216 publications

(176 citation statements)

References 37 publications

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“…Our results showed that the MODIS EVI method works very well for annual ET estimation in urban parklands. This finding supports findings of other remotely sensed vegetation indices as a feasible ET estimator in unstressed conditions [9,48]. For example, Maselli et al [49] discuss relevant limitations of ET estimation in mixed, water-stressed ecosystems such as forests and reported a satisfactory accuracy in using vegetation indices from MODIS.…”

Section: Discussionsupporting

confidence: 80%

Comparing Three Approaches of Evapotranspiration Estimation in Mixed Urban Vegetation: Field-Based, Remote Sensing-Based and Observational-Based Methods

et al. 2016

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Despite being the driest inhabited continent, Australia has one of the highest per capita water consumptions in the world. In addition, instead of having fit-for-purpose water supplies (using different qualities of water for different applications), highly treated drinking water is used for nearly all of Australia's urban water supply needs, including landscape irrigation. The water requirement of urban landscapes, particularly urban parklands, is of growing concern. The estimation of evapotranspiration (ET) and subsequently plant water requirements in urban vegetation needs to consider the heterogeneity of plants, soils, water, and climate characteristics. This research contributes to a broader effort to establish sustainable irrigation practices within the Adelaide Parklands in Adelaide, South Australia. In this paper, two practical ET estimation approaches are compared to a detailed Soil Water Balance (SWB) analysis over a one year period. One approach is the Water Use Classification of Landscape Plants (WUCOLS) method, which is based on expert opinion on the water needs of different classes of landscape plants. The other is a remote sensing approach based on the Enhanced Vegetation Index (EVI) from Moderate Resolution Imaging Spectroradiometer (MODIS) sensors on the Terra satellite. Both methods require knowledge of reference ET calculated from meteorological data. The SWB determined that plants consumed 1084 mm¨yr´1 of water in ET with an additional 16% lost to drainage past the root zone, an amount sufficient to keep salts from accumulating in the root zone. ET by MODIS EVI was 1088 mm¨yr´1, very close to the SWB estimate, while WUCOLS estimated the total water requirement at only 802 mm¨yr´1, 26% lower than the SWB estimate and 37% lower than the amount actually added including the drainage fraction. Individual monthly ET by MODIS was not accurate, but these errors were cancelled out to give good agreement on an annual time step. We conclude that the MODIS EVI method can provide accurate estimates of urban water requirements in mixed landscapes large enough to be sampled by MODIS imagery with 250-m resolution such as parklands and golf courses.

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Section: Discussionsupporting

confidence: 80%

Comparing Three Approaches of Evapotranspiration Estimation in Mixed Urban Vegetation: Field-Based, Remote Sensing-Based and Observational-Based Methods

et al. 2016

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“…The biases and error measures of the produced estimates were comparable to those encountered in other investigations (Nagler et al, 2005;Kang et al, 2009;Zhang et al, 2009). Stability of error levels across vegetation types and locations seen in this experiment makes this scheme attractive for spatially explicit estimation of actual ET.…”

Section: Assessing the Application Potential For The Event Driven Phesupporting

confidence: 81%

“…All these issues can create deviations in the flux tower records as well as in the remotely sensed data; consequently, these deviations can also appear in model output because they were embedded into the data used for model inputs. Yet here, we follow in the steps of many others (Nagler et al, 2005;Cleugh et al, 2007;Mu et al, 2007;Senay 2007Senay , 2008Zhang et al, 2009) who have used best available remotely sensed data with high quality ground observations to calibrate, refine, and validate their models. Thereby, this experiment gives a picture of the relative differences between six realizations of phenological forcings on VegET predictions.…”

Section: Test Parameters Et-ed Et-ca Et-cm Et-obmentioning

confidence: 99%

Alternative methods to predict actual evapotranspiration illustrate the importance of accounting for phenology – Part 2: The event driven phenology model

Kovalskyy

Henebry

2012

Biogeosciences

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Abstract. Evapotranspiration (ET) flux constitutes a major component of both the water and energy balances at the land surface. Among the many factors that control evapotranspiration, phenology poses a major source of uncertainty in attempts to predict ET. Contemporary approaches to ET modeling and monitoring frequently summarize the complexity of the seasonal development of vegetation cover into static phenological trajectories (or climatologies) that lack sensitivity to changing environmental conditions. The Event Driven Phenology Model (EDPM) offers an alternative, interactive approach to representing phenology. This study presents the results of an experiment designed to illustrate the differences in ET arising from various techniques used to mimic phenology in models of land surface processes. The experiment compares and contrasts two realizations of static phenologies derived from long-term satellite observations of the Normalized Difference Vegetation Index (NDVI) against canopy trajectories produced by the interactive EDPM trained on flux tower observations. The assessment was carried out through validation of predicted ET against records collected by flux tower instruments. The VegET model (Senay, 2008) was used as a framework to estimate daily actual evapotranspiration and supplied with seasonal canopy trajectories produced by the EDPM and traditional techniques. The interactive approach presented the following advantages over phenology modeled with static climatologies: (a) lower prediction bias in crops; (b) smaller root mean square error in daily ET -0.5 mm per day on average; (c) stable level of errors throughout the season similar among different land cover types and locations; and (d) better estimation of season duration and total seasonal ET.

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“…The Blaney Criddle formulation of ET o (ET o-BC ) is based on mean monthly temperature and mean daily percentage of annual daytime hours [49], and over the range of latitudes in the present study it is dominated by temperature, which affects D and is the advective term in the Penman Monteith equation [48]. A previous study [50] found a much better correlation between flux tower ET actual and ET o-BC than ET o-PM . Also, temperature data is much more widely available than the full set of meteorological data needed to calculate ET o-PM .…”

Section: Meteorological Data and Other Calculationsmentioning

confidence: 76%

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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Predicting riparian evapotranspiration from MODIS vegetation indices and meteorological data

Cited by 216 publications

References 37 publications

Comparing Three Approaches of Evapotranspiration Estimation in Mixed Urban Vegetation: Field-Based, Remote Sensing-Based and Observational-Based Methods

Comparing Three Approaches of Evapotranspiration Estimation in Mixed Urban Vegetation: Field-Based, Remote Sensing-Based and Observational-Based Methods

Alternative methods to predict actual evapotranspiration illustrate the importance of accounting for phenology – Part 2: The event driven phenology model

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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