I. Pôças

发表

Novel Tools to Improve the Management of Spatial Data Quality in the Context of Ecosystem and Biodiversity Monitoring

J. Gonçalves, J. Honrado, P. Castro, 2013 .

Canopy VIS-NIR spectroscopy and self-learning artificial intelligence for a generalised model of predawn leaf water potential in Vitis vinifera

M. Cunha, R. Tosin, I. Pôças, 2022, Biosystems Engineering.

COMBINING NICHE MODELS AND REMOTE SENSING TO EXPLORE SHORT-TERM HABITAT SUITABILITY TEMPORAL DYNAMICS AND IMPROVING BIODIVERSITY MONITORING

J. Gonçalves, J. Honrado, A. Monteiro, 2015 .

Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

Esra Tunc Gormus, Ma. Luisa Buchaillot, E. T. Gormus, 2022, Remote sensing of environment.

Maize leaf area estimation in different growth stages based on allometric descriptors

Sosdito Mananze, Isabel Pôças, Mário Cunha, 2018 .

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.

Rui F. Fernandes, João F. Gonçalves, J. Gonçalves, 2013, Journal of environmental management.

Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches

A. Calera, M. Cunha, I. Pocas, 2020, Agricultural Water Management.

A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods

L. S. Pereira, L. Pereira, V. Cantore, 2020, Agricultural Water Management.

Retrieval of Maize Leaf Area Index Using Hyperspectral and Multispectral Data

Mario Cunha, Isabel Pocas, Sosdito Mananze, 2018, Remote. Sens..

Hyperspectral-based predictive modelling of grapevine water status in the Portuguese Douro wine region

João Gonçalves, L. S. Pereira, Mario Cunha, 2017, Int. J. Appl. Earth Obs. Geoinformation.

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

L. S. Pereira, Paula Paredes, Mario Cunha, 2015, Remote. Sens..

Predicting Grapevine Water Status Based on Hyperspectral Reflectance Vegetation Indices

L. S. Pereira, Arlete Rodrigues, Mario Cunha, 2015, Remote. Sens..

Evaluation of crop coefficient and evapotranspiration data for sugar beets from landsat surface reflectances using micrometeorological measurements and weighing lysimetry

F. Melton, L. Johnson, Tianxing Wang, 2021 .

Modelling evapotranspiration of soilless cut roses ‘Red Naomi’ based on climatic and crop predictors

M. Cunha, I. Pôças, Ana Costa, 2019, Horticultural Science.

Evapotranspiration and crop coefficients for a super intensive olive orchard. An application of SIMDualKc and METRIC models using ground and satellite observations

Luis S. Pereira, L. S. Pereira, Paula Paredes, 2014 .

Estimation of grapevine predawn leaf water potential based on hyperspectral reflectance data in Douro wine region

M. Cunha, I. Pocas, R. Tosin, 2020 .

Exploring the spatiotemporal dynamics of habitat suitability to improve conservation management of a vulnerable plant species

Bruno Marcos, Ângela Lomba, Isabel Pôças, 2016, Biodiversity and Conservation.

Using remote sensing energy balance and evapotranspiration to characterize montane landscape vegetation with focus on grass and pasture lands

L. S. Pereira, Isabel Pôças, Mário Cunha, 2013, Int. J. Appl. Earth Obs. Geoinformation.

Assessing predawn leaf water potential based on hyperspectral data and pigment’s concentration of Vitis vinifera L. in the Douro Wine Region

J. Teixeira, M. Cunha, I. Pocas, 2021 .

Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator

T. Paço, M. M. Correia, R. Coelho, 2013 .

Dynamics of mountain semi-natural grassland meadows inferred from SPOT-VEGETATION and field spectroradiometer data

Luis S. Pereira, L. S. Pereira, Isabel Pôças, 2012 .

Toward a generalized predictive model of grapevine water status in Douro region from hyperspectral data

Mario Cunha, Isabel Pôças, Igor Gonçalves, 2020 .

Spectral and thermal data as a proxy for leaf protective energy dissipation under kaolin application in grapevine cultivars

M. Cunha, I. Pocas, R. Tosin, 2019, Open Agriculture.

Remote sensing based indicators of changes in a mountain rural landscape of Northeast Portugal

L. S. Pereira, L. Pereira, M. Cunha, 2011 .

Mapping and Assessing the Dynamics of Shifting Agricultural Landscapes Using Google Earth Engine Cloud Computing, a Case Study in Mozambique

Isabel Pocas, Sosdito Mananze, Mário Cunha, 2020, Remote. Sens..

SegOptim - A new R package for optimizing object-based image analyses of high-spatial resolution remotely-sensed data

Caspar A. Mücher, João Gonçalves, Bruno Marcos, 2019, Int. J. Appl. Earth Obs. Geoinformation.

Evaluating the fitness for use of spatial data sets to promote quality in ecological assessment and monitoring

João Gonçalves, Bruno Marcos, João P. Honrado, 2014, Int. J. Geogr. Inf. Sci..

Estimating the Leaf Area of Cut Roses in Different Growth Stages Using Image Processing and Allometrics

Isabel Pôças, Mário Cunha, M. Cunha, 2016 .

Satellite-based evapotranspiration of a super-intensive olive orchard: Application of METRIC algorithms

Luis S. Pereira, Richard G. Allen, L. S. Pereira, 2014 .

An evaluation of changes in a mountainous rural landscape of Northeast Portugal using remotely sensed data

André R. S. Marçal, Luis S. Pereira, L. S. Pereira, 2011 .

Agricultural drought monitoring based on soil moisture derived from the optical trapezoid model in Mozambique

Sosdito Mananze, Isabel Pôças, Mário Cunha, 2019, Journal of Applied Remote Sensing.