Isabel Pocas

According to our database, Isabel Pocas authored at least 9 papers between 2010 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

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

Sosdito Mananze, Isabel Pôças, Mário Cunha

Remote. Sens., 2020

2019

<i>SegOptim</i> - A new R package for optimizing object-based image analyses of high-spatial resolution remotely-sensed data.

João F. Gonçalves, Isabel Pôças, Bruno Marcos, Caspar A. Mücher, João P. Honrado

Int. J. Appl. Earth Obs. Geoinformation, 2019

2018

Retrieval of Maize Leaf Area Index Using Hyperspectral and Multispectral Data.

Sosdito Mananze, Isabel Pôças, Mario Cunha

Remote. Sens., 2018

2017

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

Isabel Pôças, João F. Gonçalves, Patrícia M. Costa, Igor Gonçalves, Luís S. Pereira, Mario Cunha

Int. J. Appl. Earth Obs. Geoinformation, 2017

2015

Predicting Grapevine Water Status Based on Hyperspectral Reflectance Vegetation Indices.

Isabel Pôças, Arlete Rodrigues, Sara Gonçalves, Patrícia M. Costa, Igor Gonçalves, Luís S. Pereira, Mario Cunha

Remote. Sens., 2015

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

Isabel Pôças, Teresa A. Paço, Paula Paredes, Mario Cunha, Luís S. Pereira

Remote. Sens., 2015

2014

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

Isabel Pôças, João F. Gonçalves, Bruno Marcos, Joaquim M. Alonso, Pedro Castro, João P. Honrado

Int. J. Geogr. Inf. Sci., 2014

2013

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

Isabel Pocas, Mario Cunha, Luís S. Pereira, Richard G. Allen

Int. J. Appl. Earth Obs. Geoinformation, 2013

2010

Evaluating MODIS vegetation indices using ground based measurements in mountain semi-natural meadows of Northeast Portugal.

Mario Cunha, Isabel Pocas, André R. S. Marçal, Arlete Rodrigues, Luís S. Pereira

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010