Pedro J. Leitão

Orcid: 0000-0003-3038-9531

According to our database1, Pedro J. Leitão authored at least 13 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series.
Int. J. Appl. Earth Obs. Geoinformation, 2019

Comparing Phenometrics Extracted From Dense Landsat-Like Image Time Series for Crop Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Satellite Remote Sensing of Ecosystem Functions: Opportunities and Challenges for Reporting Obligations of the EU Habitat Directive.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
<i>sgdm</i>: An R Package for Performing Sparse Generalized Dissimilarity Modelling with Tools for <i>gdm</i>.
ISPRS Int. J. Geo Inf., 2017

2016
Mapping Brazilian savanna vegetation gradients with Landsat time series.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2015
Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data.
Remote. Sens., 2015

The EnMAP-Box - A Toolbox and Application Programming Interface for EnMAP Data Processing.
Remote. Sens., 2015

Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP.
Remote. Sens., 2015

The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation.
Remote. Sens., 2015

2014
Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques.
Remote. Sens., 2014

Import Vector Machines for Quantitative Analysis of Hyperspectral Data.
IEEE Geosci. Remote. Sens. Lett., 2014

2011
Effects of geographical data sampling bias on habitat models of species distributions: a case study with steppe birds in southern Portugal.
Int. J. Geogr. Inf. Sci., 2011


  Loading...