Isabel Maria Valgôde Alves Pôças


AuthID: R-000-6EA

Confirmed Publications: 21



1
TITLE: Agricultural drought monitoring based on soil moisture derived from the optical trapezoid model in Mozambique
AUTHORS: Sosdito Mananze; Isabel Pocas ; Mario Cunha ;
PUBLISHED: 2019, SOURCE: JOURNAL OF APPLIED REMOTE SENSING, VOLUME: 13, ISSUE: 2
INDEXED IN: Scopus WOS CrossRef: 26
IN MY: ORCID
2
TITLE: Modelling evapotranspiration of soilless cut roses 'Red Naomi' based on climatic and crop predictors
AUTHORS: Patricia Malva Costa; Isabel Pocas ; Mario Cunha ;
PUBLISHED: 2019, SOURCE: HORTICULTURAL SCIENCE, VOLUME: 46, ISSUE: 2
INDEXED IN: Scopus WOS CrossRef: 2
IN MY: ORCID
3
TITLE: SegOptim-A new R package for optimizing object-based image analyses of high-spatial resolution remotely-sensed data
AUTHORS: Joao Goncalves; Isabel Pocas ; Bruno Marcos; Mucher, CA; Joao P Honrado ;
PUBLISHED: 2019, SOURCE: INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, VOLUME: 76
INDEXED IN: WOS
4
TITLE: Spectral and thermal data as a proxy for leaf protective energy dissipation under kaolin application in grapevine cultivars
AUTHORS: Tosin, R ; Pocas, I ; Cunha, M ;
PUBLISHED: 2019, SOURCE: OPEN AGRICULTURE, VOLUME: 4, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef Handle
IN MY: ORCID
5
TITLE: Retrieval of Maize Leaf Area Index Using Hyperspectral and Multispectral Data  Full Text
AUTHORS: Sosdito Mananze; Isabel Pocas ; Mario Cunha ;
PUBLISHED: 2018, SOURCE: REMOTE SENSING, VOLUME: 10, ISSUE: 12
INDEXED IN: Scopus WOS CrossRef: 33
IN MY: ORCID
6
TITLE: Hyperspectral-based predictive modelling of grapevine water status in the Portuguese Douro wine region  Full Text
AUTHORS: Isabel Pocas ; Joao Goncalves; Patricia Malva Costa; Igor Goncalves; Luis S Pereira; Mario Cunha ;
PUBLISHED: 2017, SOURCE: INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, VOLUME: 58
INDEXED IN: Scopus WOS CrossRef: 23
IN MY: ORCID
7
TITLE: Exploring the spatiotemporal dynamics of habitat suitability to improve conservation management of a vulnerable plant species  Full Text
AUTHORS: Joao Goncalves; Paulo Alves; Isabel Pocas ; Bruno Marcos ; Rita Sousa Silva; Angela Lomba ; Joao Pradinho Honrado ;
PUBLISHED: 2016, SOURCE: BIODIVERSITY AND CONSERVATION, VOLUME: 25, ISSUE: 14
INDEXED IN: Scopus WOS CrossRef: 23
IN MY: ORCID
8
9
TITLE: Predicting Grapevine Water Status Based on Hyperspectral Reflectance Vegetation Indices  Full Text
AUTHORS: Isabel Pocas ; Arlete Rodrigues; Sara Goncalves; Patricia M Costa; Igor Goncalves; Luis S Pereira; Mario Cunha ;
PUBLISHED: 2015, SOURCE: REMOTE SENSING, VOLUME: 7, ISSUE: 12
INDEXED IN: Scopus WOS CrossRef: 55
IN MY: ORCID
10
TITLE: Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator
AUTHORS: Santos, FL; Correia, MM; Pocas, I ; Valverde, PC; Coelho, RR; Vaz, M; Paco, TA;
PUBLISHED: 2014, SOURCE: 7th Iberian Congress of Agricultural Engineering and Horticultural Sciences in VII CONGRESO IBERICO DE AGROINGENIERIA Y CIENCIAS HORTICOLAS: INNOVAR Y PRODUCIR PARA EL FUTURO. INNOVATING AND PRODUCING FOR THE FUTURE
INDEXED IN: WOS
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