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University of São Paulo, College of Agriculture - ESALQ
The lack of measurement of precipitation in large areas using fine-resolution data is a limitation in water management, particularly in developing countries. However, Version 6 of the Integrated Multi-satellitE Retrievals for GPM (IMERG) has provided a new source of precipitation information with high spatial and temporal resolution. In this study, the performance of the GPM products (Final run) in the state of Paraná, located in the southern region of Brazil, from June 2000 to December 2018 was evaluated. The daily and monthly products of IMERG were compared to the gauge data spatially distributed across the study area. Quantitative and qualitative metrics were used to analyze the performance of IMERG products to detect precipitation events and anomalies. In general, the products performed positively in the estimation of monthly rainfall events, both in volume and spatial distribution, and demonstrated limited performance for daily events and anomalies, mainly in mountainous regions (coast and southwest). This may be related to the orographic rainfall in these regions, associating the intensity of the rain, and the topography. IMERG products can be considered as a source of precipitation data, especially on a monthly scale. Product calibrations are suggested for use on a daily scale and for time-series analysis.
Jéssica G. Nascimento; Daniel Althoff; Helizani C. Bazame; Christopher M. U. Neale; Sergio N. Duarte; Anderson L. Ruhoff; Ivo Z. Gonçalves. Evaluating the Latest IMERG Products in a Subtropical Climate: The Case of Paraná State, Brazil. Remote Sensing 2021, 13, 906 .
AMA StyleJéssica G. Nascimento, Daniel Althoff, Helizani C. Bazame, Christopher M. U. Neale, Sergio N. Duarte, Anderson L. Ruhoff, Ivo Z. Gonçalves. Evaluating the Latest IMERG Products in a Subtropical Climate: The Case of Paraná State, Brazil. Remote Sensing. 2021; 13 (5):906.
Chicago/Turabian StyleJéssica G. Nascimento; Daniel Althoff; Helizani C. Bazame; Christopher M. U. Neale; Sergio N. Duarte; Anderson L. Ruhoff; Ivo Z. Gonçalves. 2021. "Evaluating the Latest IMERG Products in a Subtropical Climate: The Case of Paraná State, Brazil." Remote Sensing 13, no. 5: 906.
SAFER (Simple Algorithm for Evapotranspiration Retrieving) is a relatively new algorithm applied successfully to estimate actual crop evapotranspiration (ET) at different spatial scales of different crops in Brazil. However, its use for monitoring irrigated crops is scarce and needs further investigation. This study assessed the performance of SAFER to estimate ET of irrigated corn in a Brazilian semiarid region. The study was conducted in São Desidério, Bahia State, Brazil, in corn-cropped areas in no-tillage systems and irrigated by central pivots. SAFER algorithm with original regression coefficients (a = 1.8 and b = –0.008) was initially tested during the growing seasons of 2014, 2015, and 2016. SAFER performed very poorly for estimating corn ET, with RMSD values greater than 1.18 mm d –1 for 12 fields analyzed and NSE values < 0 in most fields. To improve estimates, SAFER regression coefficients were calibrated (using 2014 and 2015 data) and validated with 2016 data, with the resulting coefficients a and b equal to 0.32 and –0.0013, respectively. SAFER performed well for ET estimation after calibration, with r 2 and NSE values equal to 0.91 and RMSD = 0.469 mm d –1 . SAFER also showed good performance (r 2 = 0.86) after validation, with the lowest RMSD (0.58 mm d –1 ) values for the set of 14 center pivots in this growing season. The results support the use of calibrated SAFER algorithm as a tool for estimating water consumption in irrigated corn fields in semiarid conditions.
Luan Peroni Venancio; Everardo Chartuni Mantovani; Cibele Hummel Do Amaral; Christopher Michael Usher Neale; Roberto Filgueiras; Ivo Zution Gonçalves; Fernando França Da Cunha. Evapotranspiration mapping of commercial corn fields in Brazil using SAFER algorithm. Scientia Agricola 2021, 78, 1 .
AMA StyleLuan Peroni Venancio, Everardo Chartuni Mantovani, Cibele Hummel Do Amaral, Christopher Michael Usher Neale, Roberto Filgueiras, Ivo Zution Gonçalves, Fernando França Da Cunha. Evapotranspiration mapping of commercial corn fields in Brazil using SAFER algorithm. Scientia Agricola. 2021; 78 (4):1.
Chicago/Turabian StyleLuan Peroni Venancio; Everardo Chartuni Mantovani; Cibele Hummel Do Amaral; Christopher Michael Usher Neale; Roberto Filgueiras; Ivo Zution Gonçalves; Fernando França Da Cunha. 2021. "Evapotranspiration mapping of commercial corn fields in Brazil using SAFER algorithm." Scientia Agricola 78, no. 4: 1.