Journal ArticleDOI
A simple Landsat–MODIS fusion approach for monitoring seasonal evapotranspiration at 30 m spatial resolution
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TLDR
In this paper, a Landsat-MODIS ET fusion model is proposed that uses simple linear regression to integrate Landsat derived reference ET fraction (ETrF) from mapping ET at high resolution with internalized calibration (METRIC) model and the vegetation temperature condition index (VTCI) derived from MODIS images.Abstract:
Persistent cloud-cover in the humid southeastern USA and the low temporal resolution of Landsat sensors limit the derivation of seasonal evapotranspiration (ET) maps at moderate spatial resolution. This article introduces a Landsat Moderate Resolution Imaging Spectroradiometer (Landsat–MODIS) ET fusion model that uses simple linear regression to integrate Landsat-derived reference ET fraction (ETrF) from mapping ET at high resolution with internalized calibration (METRIC) model and the vegetation temperature condition index (VTCI) derived from MODIS images. For a study site in Florida, model-estimated ET and ET estimated using energy budget eddy covariance at a US Geological Survey (USGS) station in Ferris Farm, Florida, were found to be in a good agreement with a root mean squared error of 0.44 mm day–1, coefficient of determination (R2) of 0.80, Nash–Sutcliffe efficiency of 0.79 for daily ET (ETd), and 2% relative error for cumulative seasonal ET during the growing season of 2001. At another study site ...read more
Citations
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Journal ArticleDOI
Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions
TL;DR: This review paper investigates literature on current spatiotemporal data fusion methods, categorizes existing methods, discusses the principal laws underlying these methods, summarizes their potential applications, and proposes possible directions for future studies in this field.
Journal ArticleDOI
Spatio-temporal fusion for daily Sentinel-2 images
TL;DR: The Sentinel-2 Multispectral Imager and Sentinel-3 Ocean and Land Colour Instrument sensors have very different spatial and temporal resolutions.
Journal ArticleDOI
Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches
TL;DR: The potential of using machine learning approaches for ET downscaling considering their effectiveness and ease of implementation is proved, and it is found that the accuracy of MODIS ET was the main control factor of the accurate of the downscaled product.
Journal ArticleDOI
Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate
Nishan Bhattarai,Nishan Bhattarai,Stephen B. Shaw,Lindi J. Quackenbush,Jungho Im,Rewati Niraula +5 more
TL;DR: Overall, this study suggests that SEBS may be the best SEB model in humid regions, although it may require modifications to work better over short vegetation.
Journal ArticleDOI
Performance of five surface energy balance models for estimating daily evapotranspiration in high biomass sorghum
TL;DR: In this paper, the performance of remote sensing-based surface energy balance (SEB) models has been evaluated for their ability to predict water usage in a variety of terrestrial ecosystems under different geographical and agrometeorological conditions.
References
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Book
Crop evapotranspiration : guidelines for computing crop water requirements
TL;DR: In this paper, an updated procedure for calculating reference and crop evapotranspiration from meteorological data and crop coefficients is presented, based on the FAO Penman-Monteith method.
Journal ArticleDOI
River flow forecasting through conceptual models part I — A discussion of principles☆
J.E. Nash,J.V. Sutcliffe +1 more
TL;DR: In this article, the principles governing the application of the conceptual model technique to river flow forecasting are discussed and the necessity for a systematic approach to the development and testing of the model is explained and some preliminary ideas suggested.
Journal Article
Evaporation and environment.
TL;DR: Progress towards a reconciliation of parallel concepts in meteorology and physiology is described, which stresses the importance of physiological restraint on the rate of transpiration from an irrigated field surrounded by dry land.
Journal ArticleDOI
A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation
TL;DR: The Surface Energy Balance Algorithm for Land (SEBAL) as mentioned in this paper estimates the spatial variation of most essential hydro-meteorological parameters empirically, and requires only field information on short wave atmospheric transmittance, surface temperature and vegetation height.
Journal ArticleDOI
Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future
TL;DR: The eddy covariance method is most accurate when the atmospheric conditions (wind, temperature, humidity, CO2) are steady, the underlying vegetation is homogeneous and it is situated on flat terrain for an extended distance upwind as discussed by the authors.