Application of the METRIC model for mapping evapotranspiration over the Sundarban Biosphere Reserve, India

Mondal, Ismail; Thakur, Sandeep; DE, A. C.; De, Tarun Kumar

doi:10.1016/j.ecolind.2022.108553

Cited by 16 publications

(8 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The study demonstrated that high-precision maps could be generated based exclusively on free multi-temporal satellite images. Machine learning algorithms promote the generation of land-use/land cover data based on satellite images [ 24 , 25 , 26 , 27 , 28 ]. Cloud computing platforms such as Google Earth Engine enable semi-automatic analyses of urban land-based on remote sensing data acquired from Sentinel-2 and Landsat satellites [ 29 ].…”

Section: Resultsmentioning

confidence: 99%

Methodology for Precision Land Use Mapping towards Sustainable Urbanized Land Development

Szarek-Iwaniuk

Dawidowicz

Senetra

2022

IJERPH

View full text Add to dashboard Cite

Land-use/land cover maps constitute one of the key sources of information on urban space. To address the problems associated with the lack of timely and detailed land-use maps, the authors have developed a universal methodological approach for monitoring land use structure that is particularly useful in a rapidly evolving urban environment. Therefore, the main aim of this study was to develop a universal methodology for high-precision land-use analysis in urbanized areas in the context of large-scale mapping. The method uses geoinformation tools, photogrammetric data (orthophoto maps) as well as data acquired during a field inventory (involving a field survey and field mapping). The proposed approach is based on the modified existing approaches towards a detailed identification of land-use patterns while reducing the difficulties arising from the limitations of existing land use data sources. The methodology consists of several steps. First, the data sources for land-use analysis were selected. Subsequently, the classification of land-use categories in urban space was made. Finally, the method to high-precision land-use analysis for large-scale mapping was defined under the assumption that it is to be universal for use in countries with different levels of spatial and economic development. The proposed research method is based on an interpolation algorithm. It is highly valid, flexible, modifiable, accurate, and it can be applied to process publicly available and free sources of spatial data. Validation of the method on a test object (city of Ostróda, Poland) showed its high effectiveness, which is limited only by the type of data. The results obtained with the use of the proposed method not only supported the determination of the present land-use structure in the town but were also used to identify areas with the highest and lowest intensity and concentration of specific land-cover types.

show abstract

Section: Resultsmentioning

confidence: 99%

Methodology for Precision Land Use Mapping towards Sustainable Urbanized Land Development

Szarek-Iwaniuk

Dawidowicz

Senetra

2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Examples of these products are the estimates obtained through classical methods derived from the SEBAL predecessor proposed by Bastiaanssen et al., 47 such as the Mapping Evapo-Transpiration at high resolution with internalized Calibration (METRIC) model 48 , 49 . This model uses high spatial resolution Landsat 8 OLI images and weather data and, differently from SEBAL, does not need absolute surface temperature calibration 50 . These and similar methods, however, have not been applied in an operational mode, at least in our areas.…”

Section: Discussionmentioning

confidence: 99%

Use of satellite application facility on land surface analysis products to improve an operational method for monitoring forest evapotranspiration

Fibbi¹,

Pieri²,

Chiesi³

et al. 2023

J. Appl. Rem. Sens.

View full text Add to dashboard Cite

.We propose a modification of a water balance method (NDVI-Cws) aimed at improving the estimation of actual evapotranspiration in forest areas. The improvement concerns the calibration of the Cws meteorological factor, which regulates the sensitivity of forest ecosystems to short-term water stress. Such calibration is based on Satellite Application Facility on Land Surface Analysis evapotranspiration products, which are informative on the actual impact of water stress on plant evapotranspiration. The original and calibrated versions of NDVI-Cws are applied in two environmentally diversified forest areas in Central Italy, where water fluxes were measured by the eddy covariance technique. The first site corresponds to a Mediterranean coastal pine forest (San Rossore) and the second to a mountain beech forest (Collelongo), where water fluxes were measured for the years 2001 to 2005 and 2000 to 2009, respectively. The calibration performed leaves unchanged the model setting for San Rossore while it induces a reduction of the model sensitivity to water stress for Collelongo. The calibrated NDVI-Cws version yields optimal evapotranspiration estimation accuracies for both study sites; the determination coefficient is around 0.90, the root mean square error is lower than 0.30 mm day − 1 and the mean bias error is around ±0.01 mm day − 1. These findings indicate that the modified water stress factor is a realistic descriptor of the soil–vegetation–atmosphere response of forest ecosystems to water shortage.

show abstract

“…Evapotranspiration is a key parameter in irrigation water management as it determines the proper water input required by the plants (Cruz-Blanco et al, 2014). Evapotranspiration from agricultural systems is considered as the second largest component of the hydrological cycle and it combines evaporation from the soil and transpiration from the plants (Łabedzki et al, 2011;Mondal et al, 2022). Evapotranspiration can be estimated using different techniques including weighing lysimeters, eddy covariance, and gas exchange systems.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of evapotranspiration models for cucumbers grown under CO2 enriched and HVAC driven greenhouses: A step towards precision irrigation in hyper-arid regions

Ghiat

Govindan

Al‐Ansari

2023

Front. Sustain. Food Syst.

View full text Add to dashboard Cite

Evapotranspiration is considered as one of the most crucial surface fluxes describing the water movement from the land to the atmosphere in the form of evaporation from the soil and transpiration from plants. Several evapotranspiration models exist, but their accuracy is subject to change because of the differences between the underlying assumptions used in their formulation and the conditions of the application at hand. The appropriate selection of an evapotranspiration model is necessary to ensure the accurate estimation of crop water requirements. This work compares between 20 different evapotranspiration models for the estimation of transpiration of cucumber crops grown in a cooling-based greenhouse with CO2 enrichment located in a high solar radiation region. The models are classified into temperature-based, radiation-based, mass transfer-based, and combination models. These models are assessed against direct gas exchange measurements in a greenhouse with cucumber crops. The performance of the models is evaluated using nine statistical indicators to determine the most suitable models for the application under study. Results demonstrate that among the temperature-based models, Schendel and Blaney and Criddle models resulted in the best transpiration prediction, contrary to Hargreaves and Samani which presented the worst performance. Transpiration estimates from Rohwer were the closest and that of Trabert were the furthest to the measured data amongst the other mass-transfer based models. The Abtew model was the best transpiration predicting model, while Priestley and Taylor exhibited the worst performance in the radiation-based model category. The combination-based FAO56 Penman Monteith entailed the best performance among all models and can be considered the best suitable method to estimate transpiration for cucumber crops grown in CO2 enriched and HVAC based greenhouses located in high solar radiation regions. Nonetheless, the parametrization of this model is still crucial and should be considered to achieve better estimates and accurately evaluate the effect of high solar radiation, CO2 enrichment and HVAC cooling for this agricultural greenhouse application.

show abstract

Application of the METRIC model for mapping evapotranspiration over the Sundarban Biosphere Reserve, India

Cited by 16 publications

References 61 publications

Methodology for Precision Land Use Mapping towards Sustainable Urbanized Land Development

Methodology for Precision Land Use Mapping towards Sustainable Urbanized Land Development

Use of satellite application facility on land surface analysis products to improve an operational method for monitoring forest evapotranspiration

Evaluation of evapotranspiration models for cucumbers grown under CO2 enriched and HVAC driven greenhouses: A step towards precision irrigation in hyper-arid regions

Contact Info

Product

Resources

About