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Isabel P˘šas
Isabel P˘šas
Centro de InvestigašŃo em Ciŕncias Geo-Espaciais
Verified email at fc.up.pt
Title
Cited by
Cited by
Year
Evapotranspiration and crop coefficients for a super intensive olive orchard. An application of SIMDualKc and METRIC models using ground and satellite observations
TA Pašo, I P˘šas, M Cunha, JC Silvestre, FL Santos, P Paredes, ...
Journal of hydrology 519, 2067-2080, 2014
1292014
Remote sensing based indicators of changes in a mountain rural landscape of Northeast Portugal
I P˘šas, M Cunha, LS Pereira
Applied Geography 31 (3), 871-880, 2011
962011
Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches
I P˘šas, A Calera, I Campos, M Cunha
Agricultural Water Management 233, 106081, 2020
872020
Estimation of actual crop coefficients using remotely sensed vegetation indices and soil water balance modelled data
I P˘šas, TA Pašo, P Paredes, M Cunha, LS Pereira
Remote Sensing 7 (3), 2373-2400, 2015
852015
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
JR Vicente, RF Fernandes, CF Randin, O Broennimann, J Gonšalves, ...
Journal of environmental management 131, 185-195, 2013
792013
Predicting grapevine water status based on hyperspectral reflectance vegetation indices
I P˘šas, A Rodrigues, S Gonšalves, PM Costa, I Gonšalves, LS Pereira, ...
Remote Sensing 7 (12), 16460-16479, 2015
652015
Satellite-based evapotranspiration of a super-intensive olive orchard: Application of METRIC algorithms
I P˘šas, TA Pašo, M Cunha, JA Andrade, J Silvestre, A Sousa, FL Santos, ...
Biosystems engineering 128, 69-81, 2014
632014
Using remote sensing energy balance and evapotranspiration to characterize montane landscape vegetation with focus on grass and pasture lands
I P˘šas, M Cunha, LS Pereira, RG Allen
International Journal of Applied Earth Observation and Geoinformation 21á…, 2013
622013
An evaluation of changes in a mountainous rural landscape of Northeast Portugal using remotely sensed data
I P˘šas, M Cunha, ARS Marcal, LS Pereira
Landscape and Urban Planning 101 (3), 253-261, 2011
422011
SegOptim—A new R package for optimizing object-based image analyses of high-spatial resolution remotely-sensed data
J Gonšalves, I P˘šas, B Marcos, CA MŘcher, JP Honrado
International Journal of Applied Earth Observation and Geoinformation 76á…, 2019
392019
A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods.
N Jovanovic, LS Pereira, P Paredes, I P˘šas, V Cantore, M Todorovic
Agricultural Water Management 239, 106267, 2020
382020
Hyperspectral-based predictive modelling of grapevine water status in the portuguese douro wine region
I P˘šas, J Gonšalves, PM Costa, I Gonšalves, LS Pereira, M Cunha
International Journal of Applied Earth Observation and Geoinformation 58á…, 2017
372017
Retrieval of maize leaf area index using hyperspectral and multispectral data
S Mananze, I P˘šas, M Cunha
Remote Sensing 10 (12), 1942, 2018
312018
Exploring the spatiotemporal dynamics of habitat suitability to improve conservation management of a vulnerable plant species
J Gonšalves, P Alves, I P˘šas, B Marcos, R Sousa-Silva, ┬ Lomba, ...
Biodiversity and Conservation 25 (14), 2867-2888, 2016
312016
Evaluating the fitness for use of spatial data sets to promote quality in ecological assessment and monitoring
I P˘šas, J Gonšalves, B Marcos, J Alonso, P Castro, JP Honrado
International Journal of Geographical Information Science 28 (11), 2356-2371, 2014
312014
Dynamics of mountain semi-natural grassland meadows inferred from SPOT-VEGETATION and field spectroradiometer data
I Pošas, M Cunha, LS Pereira
International journal of remote sensing 33 (14), 4334-4355, 2012
242012
Agricultural drought monitoring based on soil moisture derived from the optical trapezoid model in Mozambique
S Mananze, I P˘šas, M Cunha
Journal of Applied Remote Sensing 13 (2), 024519, 2019
192019
Toward a generalized predictive model of grapevine water status in Douro region from hyperspectral data
I P˘šas, R Tosin, I Gonšalves, M Cunha
Agricultural and Forest Meteorology 280, 107793, 2020
162020
Estimating the leaf area of cut roses in different growth stages using image processing and allometrics
AP Costa, I P˘šas, M Cunha
Horticulturae 2 (3), 6, 2016
162016
Mapping and Assessing the Dynamics of Shifting Agricultural Landscapes Using Google Earth Engine Cloud Computing, a Case Study in Mozambique
S Mananze, I P˘šas, M Cunha
Remote Sensing 12 (8), 1279, 2020
152020
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