Validation of MODIS Data for Localized Spatio-Temporal Evapotranspiration Mapping

Nadzri, Muhammad Izuan; Hashim, Mazlan

doi:10.1088/1755-1315/18/1/012182

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Because of the differences between the satellite-and ground-based rainfall data, calibration is essential to minimize existing errors over the study area [47]. Details of the calibration scheme were provided in Nadzri and Hashim [48] and therefore only a brief description is given here.…”

Section: Calibration For Evapotranspiration (Et) Retrieval From Modismentioning

confidence: 99%

“…The satellite-based ET provides data at global scales. Although several validations of those datasets have been done for other climates, such as America and Asia [49], specific validation, particularly for tropical regions was conducted by Nadzri and Hashim [48]. Those studies suggested that it is necessary to calibrate data to obtain better results.…”

Section: Calibration For Evapotranspiration (E T ) Retrieval From Modmentioning

confidence: 99%

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Satellite-Based Run-Off Model for Monitoring Drought in Peninsular Malaysia

et al. 2016

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Traditional in situ observation interpolation techniques that provide rainfall data from rain gauges have limitations because they are discrete point-based data records, which may not be sufficient to assess droughts from a spatiotemporal perspective. Considering this limitation, this study has developed a run-off model-a fully satellite-based method for monitoring drought in Peninsular Malaysia. The formulation of the run-off deficit uses a water balance equation based on satellite-based rainfall and evapotranspiration data extracted respectively from calibrated TRMM multi-satellites precipitation analysis data (TMPA) and moderate resolution imaging spectroradiometer data (MODIS). The run-off deficit was calculated based on per pixel spatial scale and allowed to produce the continuous and regular run-off maps. The run-off model was tested and evaluated in a one drought year (2005) within a span of three years (2003)(2004)(2005) over the Kelantan (3448 km 2 ) and Hulu Perak (3672 km 2 ) catchments of Peninsular Malaysia. The validation results show that (1) monthly TMPA rainfall and MODIS evapotranspiration data significantly improved after calibration; (2) satellite-based run-off data is not only strongly correlated with actual steam flow, but also with spatiotemporal variation of run-off in drought-affected forest catchments. The most severely drought-affected forest catchments that experienced the run-off deficits were Hulu Perak, Ulu Gading, Gunung Stong and Relai over Kelantan. The real time run-off change analysis shows that drought started in January and reached its peak in July of 2005. It was therefore demonstrated that this fully satellite-based run-off deficit model is as good as a conventional drought-monitoring indicator, and can provide not only drought distribution information, but it also can reflect the drought-induced impacts on stream flow, forest catchment and land-use.

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Section: Calibration For Evapotranspiration (Et) Retrieval From Modismentioning

confidence: 99%

Section: Calibration For Evapotranspiration (E T ) Retrieval From Modmentioning

confidence: 99%

Satellite-Based Run-Off Model for Monitoring Drought in Peninsular Malaysia

et al. 2016

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Spatio-temporal variability analysis of evapotranspiration, water use efficiency and net primary productivity in the semi-arid region of Aravalli and Siwalik range, India

Kumar,

Kumar

et al. 2023

Environ Dev Sustain

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Conjoint Analysis of Surface and Atmospheric Water Balances in the Andes‐Amazon System

Builes‐Jaramillo

Poveda

2018

Water Resources Research

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Surface and atmospheric water balances analysis for Amazon River basin at monthly time scale are performed with an emphasis on the linkages between the Andes and low-lying Amazonia. Analyses are performed using observational and reanalysis data covering five different periods of analysis (depending on length of evapotranspiration data sets) for the entire basin, major subcatchments, and for the Andes and low-lying Amazonia. Results for the entire basin show a state close to balance within tolerance, while the spatial disaggregation produced a less clear picture, presenting major discrepancies between observations and reanalysis data sets. The atmospheric budget exhibits no closure and positive residuals regardless of data set, with the magnitude of residuals for the entire Amazon basin highly dependent on evapotranspiration data source. The imbalance between the two water budgets (14%-16%) is driven by higher values of runoff and by an abrupt change in runoff when changing from dry to wet seasons in the Amazon. We unveil two shortcomings of the available data, namely poor quality in the representation of surface processes by reanalysis, and flaws and scarcity of information in the high Andes that induce uncertainties and errors in both water budgets. The results of the present study highlight the importance of the Andean region for the hydrological integrity of the entire Amazon River basin. Our results confirm the paramount importance of the joint analysis of atmospheric and surface water budgets at the basin level with respect to achieving a complete understanding of the whole hydrological cycle at the continental scale.

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Validation of MODIS Data for Localized Spatio-Temporal Evapotranspiration Mapping

Cited by 3 publications

References 8 publications

Satellite-Based Run-Off Model for Monitoring Drought in Peninsular Malaysia

Satellite-Based Run-Off Model for Monitoring Drought in Peninsular Malaysia

Spatio-temporal variability analysis of evapotranspiration, water use efficiency and net primary productivity in the semi-arid region of Aravalli and Siwalik range, India

Conjoint Analysis of Surface and Atmospheric Water Balances in the Andes‐Amazon System

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