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Proceedings Paper

Water and vegetation indices by using MODIS products for eucalyptus, pasture, and natural ecosystems in the eastern São Paulo state, Southeast Brazil
Author(s): Antônio H. de C. Teixeira; Janice F. Leivas; Carlos C. Ronquim; Edlene A. M. Garçon; Gustavo Bayma-Silva
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Paper Abstract

Eucalyptus (Ec) and pasture (Pt) are expanding while natural vegetation (Nv) are losing space in the Paraíba Valley, eastern side of the São Paulo state, Southeast Brazil. For quantification of water and vegetation conditions, the MODIS product MOD13Q1 was used together with a net of weather stations and vegetation land masks during the year 2015. The SAFER algorithm was applied to retrieve the actual evapotranspiration (ET), which was combined with the Monteithꞌs radiation use efficiency (RUE) model to estimate the biomass production (BIO). Three moisture indices were applied, the climatic water balance ratio (WBr), the ratio of precipitation (P) to ET, the water balance deficit (WBd), the difference between P and ET, and the evapotranspiration ratio (ETr), the ratio of ET to the reference evapotranspiration (ET0). On the one hand, the highest ET rates for the Ec ecosystem should be a negative aspect under water scarcity conditions; however, it presented the best water productivity. Although the Ec ecosystem presenting the lowest WBr and WBd values, it had the highest ETr, averaging 0.92, when comparing to those for Nv (0.88) and Pt (0.79). These results indicated that eucalyptus plants have greater ability of conserving soil moisture in their root zones, increasing WP, when comparing with Pt and Nv ecosystems. These water relationships are relevant issues under the land-use change conditions in the Paraiba Valley, confirming the suitability of using the MODIS products together with weather stations to study the ecosystem dynamics.

Paper Details

Date Published: 2 November 2017
PDF: 12 pages
Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 1042112 (2 November 2017); doi: 10.1117/12.2277930
Show Author Affiliations
Antônio H. de C. Teixeira, Embrapa Monitoramento por Satélite (Brazil)
Janice F. Leivas, Embrapa Monitoramento por Satélite (Brazil)
Carlos C. Ronquim, Embrapa Monitoramento por Satélite (Brazil)
Edlene A. M. Garçon, Embrapa Monitoramento por Satélite (Brazil)
Gustavo Bayma-Silva, 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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