Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform

Abbasi, N; Nouri, H; Didan, K; Barreto-Muñoz, A; Borujeni, SC; Opp, C; Nagler, P; Thenkabail, PS; Siebert, S

Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform

Abbasi, N Nouri, H Didan, K Barreto-Muñoz, A Borujeni, SC Opp, C Nagler, P Thenkabail, PS Siebert, S

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Remote Sensing, 15, (4), pp. 1017

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Field	Value	Language
dc.contributor.author	Abbasi, N
dc.contributor.author	Nouri, H
dc.contributor.author	Didan, K
dc.contributor.author	Barreto-Muñoz, A
dc.contributor.author	Borujeni, SC
dc.contributor.author	Opp, C
dc.contributor.author	Nagler, P
dc.contributor.author	Thenkabail, PS
dc.contributor.author	Siebert, S
dc.date.accessioned	2024-05-15T23:23:26Z
dc.date.available	2024-05-15T23:23:26Z
dc.identifier.citation	Remote Sensing, 15, (4), pp. 1017
dc.identifier.issn	2072-4292
dc.identifier.issn	2072-4292
dc.identifier.uri	http://hdl.handle.net/10453/178978
dc.description.abstract	Precise knowledge of crop water consumption is essential to better manage agricultural water use particularly in regions where most countries struggle with increasing water and food insecurity Approaches such as cloud computing and remote sensing RS have facilitated access process and visualization of big geospatial data to map and monitor crop water requirements To find the most reliable Vegetation Index VI based evapotranspiration ETa for croplands in drylands we modeled and mapped ETa using empirical RS methods across the Zayandehrud river basin in Iran for two decades 2000 2019 on the Google Earth Engine platform using the Normalized Difference Vegetation Index NDVI and the Enhanced Vegetation Index 2 EVI2 Developed ET VI products in this study comprise three NDVI based ETa ET NDVI ET NDVI scaled and ET NDVIKc and an EVI2 based ETa ET EVI2 We a applied for the first time the ET NDVI method to croplands as a crop independent index and then compared its performance with the ET EVI2 and crop ET and b assessed the ease and feasibility of the transferability of these methods to other regions Comparing four ET VI products showed that annual ET EVI2 and ET NDVI scaled estimations were close ET NDVIKc consistently overestimated ETa Our findings indicate that ET EVI2 and ET NDVIKc were easy to parametrize and adopt to other regions while ET NDVI and ET NDVI scaled are site dependent and sensitive to image acquisition time ET EVI2 performed robustly in arid and semi arid regions making it a better tool Future research should further develop and confirm these findings by characterizing the accuracy of VI based ETa over croplands in drylands by comparing them with available ETa products and examining their performance using crop specific comparisons
dc.language	en
dc.publisher	MDPI
dc.relation.ispartof	Remote Sensing
dc.relation.isbasedon	10.3390/rs15041017
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0203 Classical Physics, 0406 Physical Geography and Environmental Geoscience, 0909 Geomatic Engineering
dc.subject.classification	3701 Atmospheric sciences
dc.subject.classification	3709 Physical geography and environmental geoscience
dc.subject.classification	4013 Geomatic engineering
dc.title	Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform
dc.type	Journal Article
utslib.citation.volume	15
utslib.for	0203 Classical Physics
utslib.for	0406 Physical Geography and Environmental Geoscience
utslib.for	0909 Geomatic Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Science
pubs.organisational-group	University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2024-05-15T23:23:24Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	15
utslib.citation.issue	4

Abstract:

Precise knowledge of crop water consumption is essential to better manage agricultural water use particularly in regions where most countries struggle with increasing water and food insecurity Approaches such as cloud computing and remote sensing RS have facilitated access process and visualization of big geospatial data to map and monitor crop water requirements To find the most reliable Vegetation Index VI based evapotranspiration ETa for croplands in drylands we modeled and mapped ETa using empirical RS methods across the Zayandehrud river basin in Iran for two decades 2000 2019 on the Google Earth Engine platform using the Normalized Difference Vegetation Index NDVI and the Enhanced Vegetation Index 2 EVI2 Developed ET VI products in this study comprise three NDVI based ETa ET NDVI ET NDVI scaled and ET NDVIKc and an EVI2 based ETa ET EVI2 We a applied for the first time the ET NDVI method to croplands as a crop independent index and then compared its performance with the ET EVI2 and crop ET and b assessed the ease and feasibility of the transferability of these methods to other regions Comparing four ET VI products showed that annual ET EVI2 and ET NDVI scaled estimations were close ET NDVIKc consistently overestimated ETa Our findings indicate that ET EVI2 and ET NDVIKc were easy to parametrize and adopt to other regions while ET NDVI and ET NDVI scaled are site dependent and sensitive to image acquisition time ET EVI2 performed robustly in arid and semi arid regions making it a better tool Future research should further develop and confirm these findings by characterizing the accuracy of VI based ETa over croplands in drylands by comparing them with available ETa products and examining their performance using crop specific comparisons

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