M
Mário Cunha
Researcher at University of Porto
Publications - 58
Citations - 934
Mário Cunha is an academic researcher from University of Porto. The author has contributed to research in topics: Normalized Difference Vegetation Index & Pipefish. The author has an hindex of 14, co-authored 57 publications receiving 539 citations. Previous affiliations of Mário Cunha include Faculdade de Engenharia da Universidade do Porto.
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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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Assessing how green space types affect ecosystem services delivery in Porto, Portugal
Marisa Graça,Paulo C. Alves,João Gonçalves,David J. Nowak,Robert E. Hoehn,Paulo Farinha-Marques,Mário Cunha +6 more
TL;DR: In this article, a stepwise approach was developed using two stratification schemes and a modelling tool to estimate urban forest structure and UES provision in Porto, a Portuguese city, and how this variation is affected by a socioeconomic gradient.
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Smartphone Applications Targeting Precision Agriculture Practices—A Systematic Review
Jorge Mendes,Tatiana M. Pinho,Filipe Neves dos Santos,Joaquim J. Sousa,Emanuel Peres,José Boaventura-Cunha,Mário Cunha,Raul Morais +7 more
TL;DR: A literature review and an analysis of the characteristics of several mobile applications for use in smart/precision agriculture available on the market or developed at research level are presented to provide to farmers an overview of the applications type that exist, what features they provide and a comparison between them.
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QPhenoMetrics: An open source software application to assess vegetation phenology metrics
TL;DR: QPhenoMetrics can be very useful for common users to extract phenology information for 16 daily MODIS data in HDF format, text files with NDVI/EVI data and ASCII files, through a simple and intuitive graphic interface.
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Assessing soil erosion risk using RUSLE through a GIS open source desktop and web application
Lia Duarte,Ana Cláudia Teodoro,José Alberto Gonçalves,Daniel Crístian Ferreira Soares,Mário Cunha +4 more
TL;DR: The results indicated that most of the study area is characterized by very low soil erosion level and in 4 % of the studied area the soil erosion was higher than 962 ton km−2 year−1 and it was also concluded that areas with high slope values and bare soil are related with high level of erosion and the higher the P and C values, the higherThe soil erosion percentage.