Evapotranspiration in a cottonwood (Populus fremontii) restoration plantation estimated by sap flow and remote sensing methods

Nagler, Pamela L.; Jetton, A.; Fleming, J. B.; Didan, Kamel; Glenn, Edward P.; Erker, Joseph A.; Morino, Kiyomi; Milliken, Jeff; Gloss, Steven P.

doi:10.1016/j.agrformet.2007.02.002

Cited by 59 publications

(54 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The strong significant positive correlation between ET WV2 and ET WUCOLS (r 2 = 0.96, p > 0.05) demonstrates well the feasibility and practicality of a remotely-sensed ET estimation approach in Veale Gardens. This finding is in line with several studies that have found a strong and reliable relationship between aerial-satellite-based Landscape NDVI measurements and ground-based ET measurements [17,[53][54][55][56][57][58][59]. A significant decrease in rainfall in January 2013 imposed stress conditions to the vegetation in Veale Gardens.…”

Section: Discussionsupporting

confidence: 79%

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

et al. 2014

Self Cite

View full text Add to dashboard Cite

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

show abstract

Section: Discussionsupporting

confidence: 79%

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

et al. 2014

Self Cite

View full text Add to dashboard Cite

show abstract

“…They compared their results with estimates from the literature due to the difficulty in validating these kinds of regions using sap flow measurements. Nagler et al (2005Nagler et al ( , 2007 (Poyatos et al, 2008). However, in the case of MODIS ET d modelling, the validation shows a higher RMSE, which suggests that higher spatial resolution is needed for heterogeneous areas.…”

Section: Figmentioning

confidence: 84%

“…When the R nd ratio is negative during winter, the ET d yields negative values and the model does not perform well. Again, it is worth noting that ET d models are usually validated on spring or summer dates (Chiesi et al, 2002;Nagler et al, 2005Nagler et al, , 2007Sánchez et al, 2007Sánchez et al, , 2008aVerstraeten et al, 2005;Wu et al, 2006) when the daily R n budget is positive. Our attempt to also estimate ET d during autumn and winter has shown the limitations of the method and how ET d modelling needs to be further improved, especially in forest areas.…”

Section: Landsatmentioning

confidence: 99%

“…To regionalize air temperature, we applied a multiple regression analysis with spatial interpolation of residual errors of ground meteorological station data using geographical variables as predictors, such as altitude, latitude, or continentality (Cristóbal et al, 2008;Ninyerola et al, 2000. Spatial interpolation of the residuals has been computed using the Inverse Distance Weighted interpolation because this interpolator offers better results than other methodologies, at least in the case of air temperature modelling (Ninyerola et al, 2000). Air temperature data were fitted using 60 % of the meteorological ground stations and cross-validated with the remaining 40 %.…”

Section: Air Temperaturementioning

confidence: 99%

See 1 more Smart Citation

Combining remote sensing and GIS climate modelling to estimate daily forest evapotranspiration in a Mediterranean mountain area

Cristóbal

Poyatos

Ninyerola

et al. 2011

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Evapotranspiration monitoring allows us to assess the environmental stress on forest and agricultural ecosystems. Nowadays, Remote Sensing and Geographical Information Systems (GIS) are the main techniques used for calculating evapotranspiration at catchment and regional scales. In this study we present a methodology, based on the energy balance equation (B-method), that combines remote sensing imagery with GIS-based climate modelling to estimate daily evapotranspiration (ET d ) for several dates between 2003 and 2005. The three main variables needed to compute ET d were obtained as follows: (i) Land surface temperature by means of the Landsat-5 TM and Landsat-7 ETM+ thermal band, (ii) air temperature by means of multiple regression analysis and spatial interpolation from meteorological ground stations data at satellite pass, and (iii) net radiation by means of the radiative balance. We calculated ET d using remote sensing data at different spatial and temporal scales (Landsat-7 ETM+, Landsat-5 TM and TERRA/AQUA MODIS, with a spatial resolution of 60, 120 and 1000 m, respectively) and combining three different approaches to calculate the B parameter, which represents an average bulk conductance for the daily-integrated sensible heat flux. We then compared these estimates with sap flow measurements from a Scots pine (Pinus sylvestris L.) stand in a Mediterranean mountain area. This procedure allowed us to better understand the limitations of ET d modelling and how it needs to be improved, especially in heterogeneous forest areas. The method Correspondence to: J. Cristóbal (jordi.cristobal@uab.cat) using Landsat data resulted in a good agreement, R 2 test of 0.89, with a mean RMSE value of about 0.6 mm day −1 and an estimation error of ±30 %. The poor agreement obtained using TERRA/AQUA MODIS, with a mean RMSE value of 1.8 and 2.4 mm day −1 and an estimation error of about ±57 and 50 %, respectively. This reveals that ET d retrieval from coarse resolution remote sensing data is troublesome in these heterogeneous areas, and therefore further research is necessary on this issue. Finally, implementing regional GIS-based climate models as inputs in ET d retrieval have has provided good results, making possible to compute ET d at regional scales.

show abstract

“…Sap flow was measured by the tissue-heat-balance method as described in Sala et al [31], Grime and Sinclair [36], Kjelgaard et al [37] and Nagler et al [8,38,39]. We used home-made sensors described in Scott et al [40], which were field-validated by measurements of ET actual by flux towers [40].…”

Section: Sap Flow Measurementsmentioning

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

Self Cite

View full text Add to dashboard Cite

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

show abstract

Evapotranspiration in a cottonwood (Populus fremontii) restoration plantation estimated by sap flow and remote sensing methods

Cited by 59 publications

References 37 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

Combining remote sensing and GIS climate modelling to estimate daily forest evapotranspiration in a Mediterranean mountain area

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

Contact Info

Product

Resources

About