
Proceedings Paper
Water indicators based on SPOT 6 satellite images in irrigated area at the Paracatu River Basin, BrazilFormat | Member Price | Non-Member Price |
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Paper Abstract
The Paracatu River is the largest affluent of the São Francisco River, Brazil. The main water use in the Paracatu river
basin is irrigation, which occupies an area of 37,150 ha. The objective in this study was to obtain water indicators at
irrigated areas using the SAFER (Simple Algorithm For Evapotranspiration Retrieving) and the Penman-Monteith models
with images of SPOT 6 satellite (without the thermal band). The parameters obtained are evapotranspiration (ET),
albedo (α), biomass (BIO), surface temperature (Tsup) and water productivity (PA) in irrigated areas of Paracatu River
Basin. We used 2 satellite images by the sensor SPOT6 (by Astrium Company) with a spatial resolution of 6 m (August 8,
2014 and August 23, 2015) and data from meteorological stations. In irrigated areas, the NDVI reached values higher
than 0.76, due the response of vegetation to irrigation. The daily average albedo was 0.18 ± 0.01 and 0.02 ± 0.17
respectively. In the analysis of the surface temperature (Tsup), it can be observed that in the image of 2015, mean
values higher than those observed in the image of 2014 (303.03 ± 1.97 K and 299.34 ± 3.47 K, respectively). In 2015,
due to increased atmospheric evaporative demand, ET reached values higher than those seen in the scene in 2014. The
average daily evapotranspiration rate in Paracatu for 2014 scene was of 0.81±1.49 mm, with a maximum value of 8.96
mm at the irrigated areas. In image of 2015 the average evapotranspiration (ET) values was 1.87±1.27 mm. The results
obtained in this study may assist in the monitoring of irrigated agriculture to face a trend of scarcity of water resources
and of increasing conflicts over water use as occurs in the Paracatu River Basin.
Paper Details
Date Published: 2 November 2017
PDF: 7 pages
Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 104211I (2 November 2017); doi: 10.1117/12.2278059
Published in SPIE Proceedings Vol. 10421:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX
Christopher M. U. Neale; Antonino Maltese, Editor(s)
PDF: 7 pages
Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 104211I (2 November 2017); doi: 10.1117/12.2278059
Show Author Affiliations
Janice F. Leivas, Embrapa Monitoramento por Satélite (Brazil)
Antônio Heriberto de C. Teixeira, Embrapa Monitoramento por Satélite (Brazil)
Gustavo Bayma-Silva, Embrapa Monitoramento por Satélite (Brazil)
Antônio Heriberto de C. Teixeira, Embrapa Monitoramento por Satélite (Brazil)
Gustavo Bayma-Silva, Embrapa Monitoramento por Satélite (Brazil)
Edlene A. Monteiro Garçon, Embrapa Monitoramento por Satélite (Brazil)
Carlos Cesar Ronquim, Embrapa Monitoramento por Satélite (Brazil)
Carlos Cesar Ronquim, Embrapa Monitoramento por Satélite (Brazil)
Published in SPIE Proceedings Vol. 10421:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX
Christopher M. U. Neale; Antonino Maltese, Editor(s)
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