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Isabel Pôças

Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review
2022 · Katja Berger, Miriam Machwitz, et al. · Remote Sensing of Environment · 317
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Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches
2020 · I. Pôças, A. Calera, et al. · Agricultural Water Management · 220
Evapotranspiration and crop coefficients for a super intensive olive orchard. An application of SIMDualKc and METRIC models using ground and satellite observations
2014 · Teresa A. Paço, Isabel Pôças, et al. · Journal of Hydrology · 130
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A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods
2020 · N. Jovanovic, L.S. Pereira, et al. · Agricultural Water Management · 122
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
2013 · J.R. Vicente, R.F. Fernandes, et al. · Journal of Environmental Management · 121
Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data
2015 · Isabel Pôças, Teresa Paço, et al. · Remote Sensing · 99
Predicting Grapevine Water Status Based on Hyperspectral Reflectance Vegetation Indices
2015 · Isabel Pôças, Arlete Rodrigues, et al. · Remote Sensing · 94
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Remote sensing based indicators of changes in a mountain rural landscape of Northeast Portugal
2011 · Isabel Pôças, Mario Cunha, et al. · Applied Geography · 90
Satellite-based evapotranspiration of a super-intensive olive orchard: Application of METRIC algorithms
2014 · Isabel Pôças, Teresa A. Paço, et al. · Biosystems Engineering · 70
Hyperspectral-based predictive modelling of grapevine water status in the Portuguese Douro wine region
2017 · Isabel Pôças, João Gonçalves, et al. · International Journal of Applied Earth Observation and Geoinformation · 56
SegOptim—A new R package for optimizing object-based image analyses of high-spatial resolution remotely-sensed data
2018 · João Gonçalves, Isabel Pôças, et al. · International Journal of Applied Earth Observation and Geoinformation · 55
Using remote sensing energy balance and evapotranspiration to characterize montane landscape vegetation with focus on grass and pasture lands
2012 · Isabel Pôças, Mário Cunha, et al. · International Journal of Applied Earth Observation and Geoinformation · 54
Retrieval of Maize Leaf Area Index Using Hyperspectral and Multispectral Data
2018 · Sosdito Mananze, Isabel Pôças, et al. · Remote Sensing · 49
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Mapping and Assessing the Dynamics of Shifting Agricultural Landscapes Using Google Earth Engine Cloud Computing, a Case Study in Mozambique
2020 · Sosdito Mananze, Isabel Pôças, et al. · Remote Sensing · 42
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An evaluation of changes in a mountainous rural landscape of Northeast Portugal using remotely sensed data
2011 · Isabel Pôças, Mario Cunha, et al. · Landscape and Urban Planning · 42
Agricultural drought monitoring based on soil moisture derived from the optical trapezoid model in Mozambique
2019 · Sosdito Mananze, Isabel Pôças, et al. · Journal of Applied Remote Sensing · 40
Toward a generalized predictive model of grapevine water status in Douro region from hyperspectral data
2019 · Isabel Pôças, Renan Tosin, et al. · Agricultural and Forest Meteorology · 37
Exploring the spatiotemporal dynamics of habitat suitability to improve conservation management of a vulnerable plant species
2016 · João Gonçalves, Paulo Alves, et al. · Biodiversity and Conservation · 36
Evaluating the fitness for use of spatial data sets to promote quality in ecological assessment and monitoring
2014 · Isabel Pôças, João Gonçalves, et al. · International Journal of Geographical Information Systems · 34
Assessing predawn leaf water potential based on hyperspectral data and pigment’s concentration of Vitis vinifera L. in the Douro Wine Region
2020 · Renan Tosin, Isabel Pôças, et al. · Scientia Horticulturae · 33
Evaluation of crop coefficient and evapotranspiration data for sugar beets from landsat surface reflectances using micrometeorological measurements and weighing lysimetry
2020 · Tianxin Wang, Forrest S. Melton, et al. · Agricultural Water Management · 32
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Canopy VIS-NIR spectroscopy and self-learning artificial intelligence for a generalised model of predawn leaf water potential in Vitis vinifera
2022 · Renan Tosin, Rui Martins, et al. · Biosystems Engineering · 28
Dynamics of mountain semi-natural grassland meadows inferred from SPOT-VEGETATION and field spectroradiometer data
2012 · Isabel Poças, Mário Cunha, et al. · International Journal of Remote Sensing · 22
Estimating the Leaf Area of Cut Roses in Different Growth Stages Using Image Processing and Allometrics
2016 · Ana Costa, Isabel Pôças, et al. · Horticulturae · 21
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Dynamic shifts of functional diversity through climate-resilient strategies and farmland restoration in a mountain protected area
2024 · João C. Campos, João Alírio, et al. · Journal of Environmental Management · 14
Works count: 58
Citation count: 1,950
H-index: 22
I10-index: 28
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