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Proceedings Paper

Annual variability of water productivity components in the watershed of Cabeceira Comprida stream, Santa Fé do Sul, Brazil
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Paper Abstract

The Cabeceira Comprida stream's watershed, located in Santa Fé do Sul, Brazil, is an agroecosystem with great demand of water for the population and agriculture. During the dry season the water demand exceeds the amount generated by the watershed. It is important to know the dynamics of the water above the ground to improve the water resources management. Ten Landsat 8 images were used combined with Northwestern São Paulo State Weather Network data under different thermohydrological conditions of the year 2014 to quantify actual evapotranspiration (ETa), biomass production (BIO) and water productivity (WP) based on ETa. Using the Simple Algorithm for Retrieving evapotranspiration (SAFER) for calculating ETa, the Monteith's radiation model was applied for estimating the BIO and for calculation of WP the ratio of BIO and ETa. The average pixels for ETa, BIO and WP ranged respectively from 0.38 ± 0.35 to 2.05 ± 0.76 mm day-1; 10.15 ± 12.19 to 71.61 ± 35.54 kg ha-1 day-1; 1.89 ± 0.76 to 3.88 ± 0.86 kg m-3. The lower values of ETa (0.38 mm day-1; DOY 220), BIO (10.15 kg ha-1 day-1; DOY 220) and WP (1.89 kg m-3; DOY 204) were obtained in winter, and highest values of ETa (2.05 mm day-1; DOY 364) and BIO (71.64 kg ha-1 day-1; DOY 364) in the summer and WP (3.88 kg m-3; DOY 92) in the autumn. The water productivity components can subsidize the monitoring of the agro-ecosystems, being a useful tool to quantify the annual variability of ETa and BIO.

Paper Details

Date Published: 25 October 2016
PDF: 10 pages
Proc. SPIE 9998, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII, 99981E (25 October 2016); doi: 10.1117/12.2242007
Show Author Affiliations
Daniel N. Coaguila, São Paulo State Univ. (Brazil)
National Univ. of Saint Augustine (Peru)
Fernando B. T. Hernandez, São Paulo State Univ. (Brazil)
Antônio H. de C. Teixeira, Embrapa Satellite Monitoring (Brazil)
Christopher M. Neale, Univ. of Nebraska Lincoln (United States)
Renato A. M. Franco, São Paulo State Univ. (Brazil)
Janice F. Leivas, Embrapa Satellite Monitoring (Brazil)

Published in SPIE Proceedings Vol. 9998:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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