Estimating Actual Evapotranspiration over Croplands Using Vegetation Index Methods and Dynamic Harvested Area

被引：24

作者：

Abbasi, Neda ^{[1
,2
]}

Nouri, Hamideh ^{[1
]}

Didan, Kamel ^{[3
]}

Barreto-Munoz, Armando ^{[3
]}

Chavoshi Borujeni, Sattar ^{[4
,5
]}

Salemi, Hamidreza ^{[6
]}

Opp, Christian ^{[2
]}

Siebert, Stefan ^{[1
]}

Nagler, Pamela ^{[7
]}

机构：

[1] Univ Gottingen, Dept Crop Sci, Siebold Str 8, D-37075 Gottingen, Germany

[2] Philipps Univ Marburg, Dept Geog, Deutschhausstr 10, D-35032 Marburg, Germany

[3] Univ Arizona, Biosyst Engn, 1177 E 4th St, Tucson, AZ 85719 USA

[4] AREEO, Isfahan Agr & Nat Resources Res & Educ Ctr, Soil Conservat & Watershed Management Res Dept, Esfahan 193951113, Iran

[5] Univ Technol Sydney, Fac Sci, Ultimo, NSW 2007, Australia

[6] AREEO, Isfahan Agr & Nat Resources Res & Educ Ctr, Agr Engn Res Dept, Esfahan 193951113, Iran

[7] US Geol Survey, Southwest Biol Sci Ctr, 520 N Pk Ave, Tucson, AZ 85719 USA

来源：

REMOTE SENSING | 2021年 / 13卷 / 24期

关键词：

actual evapotranspiration; enhanced vegetation index; cross-sensor transformation; harvested area; google earth engine; LOWER COLORADO RIVER; RIPARIAN EVAPOTRANSPIRATION; SEASONAL EVAPOTRANSPIRATION; EMPIRICAL ALGORITHM; GROUND MEASUREMENTS; CROP COEFFICIENTS; DROUGHT RISK; WATER-USE; MODIS; RADIATION;

D O I：

10.3390/rs13245167

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Advances in estimating actual evapotranspiration (ETa) with remote sensing (RS) have contributed to improving hydrological, agricultural, and climatological studies. In this study, we evaluated the applicability of Vegetation-Index (VI) -based ETa (ET-VI) for mapping and monitoring drought in arid agricultural systems in a region where a lack of ground data hampers ETa work. To map ETa (2000-2019), ET-VIs were translated and localized using Landsat-derived 3- and 2-band Enhanced Vegetation Indices (EVI and EVI2) over croplands in the Zayandehrud River Basin (ZRB) in Iran. Since EVI and EVI2 were optimized for the MODerate Imaging Spectroradiometer (MODIS), using these VIs with Landsat sensors required a cross-sensor transformation to allow for their use in the ET-VI algorithm. The before- and after- impact of applying these empirical translation methods on the ETa estimations was examined. We also compared the effect of cropping patterns' interannual change on the annual ETa rate using the maximum Normalized Difference Vegetation Index (NDVI) time series. The performance of the different ET-VIs products was then evaluated. Our results show that ETa estimates agreed well with each other and are all suitable to monitor ETa in the ZRB. Compared to ETc values, ETa estimations from MODIS-based continuity corrected Landsat-EVI (EVI2) (EVIMccL and EVI2(MccL)) performed slightly better across croplands than those of Landsat-EVI (EVI2) without transformation. The analysis of harvested areas and ET-VIs anomalies revealed a decline in the extent of cultivated areas and a loss of corresponding water resources downstream. The findings show the importance of continuity correction across sensors when using empirical algorithms designed and optimized for specific sensors. Our comprehensive ETa estimation of agricultural water use at 30 m spatial resolution provides an inexpensive monitoring tool for cropping areas and their water consumption.

引用

页数：27

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