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Isabel Pôças
Researcher at University of Porto
Publications - 35
Citations - 932
Isabel Pôças is an academic researcher from University of Porto. The author has contributed to research in topics: Evapotranspiration & Normalized Difference Vegetation Index. The author has an hindex of 14, co-authored 33 publications receiving 652 citations. Previous affiliations of Isabel Pôças include Technical University of Lisbon & Instituto Superior de Agronomia.
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Evapotranspiration and crop coefficients for a super intensive olive orchard. An application of SIMDualKc and METRIC models using ground and satellite observations
Teresa A. Paço,Isabel Pôças,Mário Cunha,José Silvestre,Francisco L. Santos,Paula Paredes,Luis S. Pereira +6 more
TL;DR: In this paper, the satellite-based surface energy balance model METRIC was used to estimate ETc and to derive crop coefficients in olive orchards, and the results showed that ETc obtained from both approaches were similar and that crop coefficients showed similar patterns throughout the year.
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Remote sensing based indicators of changes in a mountain rural landscape of Northeast Portugal
TL;DR: In this article, landscape metrics were used to analyze landscape changes and related driving forces in a mountain rural landscape of Northeast Portugal over three decades, which indicated a trend for increased landscape fragmentation, decrease of annual crop fields and increase of meadows.
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Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches
TL;DR: In this article, the authors analyze the relationship between remote sensing-based vegetation indices and the basal crop coefficient (Kc) in more complex models such as soil water balance, and the operational application of Kc-VI relationships using virtual constellations of space and aerial platforms that allow combining data from two or more sensors.
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Will climate change drive alien invasive plants into areas of high protection value? An improved model-based regional assessment to prioritise the management of invasions
Joana R. Vicente,Rui Fernandes,Christophe F. Randin,O. Broennimann,João Gonçalves,Bruno Marcos,Isabel Pôças,Paulo C. Alves,Antoine Guisan,João P. Honrado +9 more
TL;DR: A hierarchical SDM framework is used, complemented by connectivity analysis of AIS distributions, to evaluate current and future conflicts between AIS and high conservation value areas and shows that protected areas will likely suffer higher pressure from all three Acacia species under future climatic conditions.
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Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data
TL;DR: The proposed methods for estimating actual basal crop coefficients from vegetation indices considering a density coefficient (Kd) and a crop coefficient for bare soil show that the proposed methods are adequate for supporting irrigation management.