Evaluation of the relation between evapotranspiration and normalized difference vegetation index for downscaling the simplified surface energy balance model

Haynes, Jonathan V.; Senay, Gabriel B.

doi:10.3133/sir20125197

Cited by 8 publications

(5 citation statements)

References 5 publications

(1 reference statement)

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“…As the Normalized Difference Vegetation Index is considered a good indicator of terrestrial vegetation productivity, it can be useful for the estimation of ET on a regional scale for hydrologic applications (e.g. Szilagyi et al 1998;Szilagyi 2002;Haynes & Senay 2012). In this study the relation between the ET and NDVI values was analysed by a simple linear regression model, using the equation ET = a * NDVI + b.…”

Section: Methodsmentioning

confidence: 99%

Analysis of evapotranspiration in the catchment of the Nurzec River, Poland using MODIS data

Ślązek¹

2014

Miscellanea Geographica - Regional Studies on Development

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The objective of this study is to analyse the spatial diversity and temporal variation of evapotranspiration in the catchment of the Nurzec River in the years 2001-2010. The study is based on MODIS images highlighting monthly accumulated values of evapotranspiration, Normalized Difference Vegetation Index (NDVI), and land use categories. Monthly evapotranspiration was calculated for the whole catchment as well as in different land use categories. The study focuses on assessing the relationship between the values of NDVI and evapotranspiration. The annual ET according to MODIS varied from 392 mm to 458 mm. Deciduous broadleaf forests have a higher ET than other land use categories. The analysis shows a strong correlation between monthly ET and NDVI.

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Section: Methodsmentioning

confidence: 99%

Analysis of evapotranspiration in the catchment of the Nurzec River, Poland using MODIS data

Ślązek¹

2014

Miscellanea Geographica - Regional Studies on Development

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“…TreeCanopy outperformed both LAI and NDVI as a predictor variable for annual ETa. This was a notable result because NDVI is generally found or assumed to correlate well with ET (Glenn and others, 2008;Haynes and Senay, 2012; DeJonge and others, 2016) because of the clear importance of vegetation density on ET. For a given vegetation density, however, the influences of net radiative energy and soil water limitation may also affect the actual ET.…”

Section: Vegetation Variables and Etamentioning

confidence: 80%

Landscape and climatic influences on actual evapotranspiration and available water using the Operational Simplified Surface Energy Balance (SSEBop) Model in eastern Bernalillo County, New Mexico, 2015

Douglas-Mankin¹,

McCutcheon²,

Mitchell³

et al. 2020

Scientific Investigations Report

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“…Issues with geometric registration of the MODIS thermal data (spatial resolution = 1 km 2 ) can further influence the quality of the ET data. Haynes and Senay [ 118 ] identified a spatial shift and mismatch between NDVI and land surface temperature from MODIS by as much as 2 km. Additionally, the coarse size of the thermal pixels mean that SSEBop is responding to a mix of signals coming from the landscape.…”

Section: Discussionmentioning

confidence: 99%

Challenges in Complementing Data from Ground-Based Sensors with Satellite-Derived Products to Measure Ecological Changes in Relation to Climate—Lessons from Temperate Wetland-Upland Landscapes

Gallant

Sadinski

Brown

et al. 2018

Sensors

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Assessing climate-related ecological changes across spatiotemporal scales meaningful to resource managers is challenging because no one method reliably produces essential data at both fine and broad scales. We recently confronted such challenges while integrating data from ground- and satellite-based sensors for an assessment of four wetland-rich study areas in the U.S. Midwest. We examined relations between temperature and precipitation and a set of variables measured on the ground at individual wetlands and another set measured via satellite sensors within surrounding 4 km2 landscape blocks. At the block scale, we used evapotranspiration and vegetation greenness as remotely sensed proxies for water availability and to estimate seasonal photosynthetic activity. We used sensors on the ground to coincidentally measure surface-water availability and amphibian calling activity at individual wetlands within blocks. Responses of landscape blocks generally paralleled changes in conditions measured on the ground, but the latter were more dynamic, and changes in ecological conditions on the ground that were critical for biota were not always apparent in measurements of related parameters in blocks. Here, we evaluate the effectiveness of decisions and assumptions we made in applying the remotely sensed data for the assessment and the value of integrating observations across scales, sensors, and disciplines.

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Evaluation of the relation between evapotranspiration and normalized difference vegetation index for downscaling the simplified surface energy balance model

Cited by 8 publications

References 5 publications

Analysis of evapotranspiration in the catchment of the Nurzec River, Poland using MODIS data

Analysis of evapotranspiration in the catchment of the Nurzec River, Poland using MODIS data

Landscape and climatic influences on actual evapotranspiration and available water using the Operational Simplified Surface Energy Balance (SSEBop) Model in eastern Bernalillo County, New Mexico, 2015

Challenges in Complementing Data from Ground-Based Sensors with Satellite-Derived Products to Measure Ecological Changes in Relation to Climate—Lessons from Temperate Wetland-Upland Landscapes

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