Edson Eyji Sano
Orcid: 0000-0001-5760-556X
According to our database1,
Edson Eyji Sano
authored at least 28 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
Understanding the Spatio-Temporal Behavior of Sentinel-1 SAR Vegetation Indices Over the Brazilian Savanna.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
Land Use and Land Cover Classification in the Northern Region of Mozambique Based on Landsat Time Series and Machine Learning.
ISPRS Int. J. Geo Inf., August, 2023
Mapping Agricultural Intensification in the Brazilian Savanna: A Machine Learning Approach Using Harmonized Data from Landsat Sentinel-2.
ISPRS Int. J. Geo Inf., July, 2023
Woody Plant Encroachment in a Seasonal Tropical Savanna: Lessons about Classifiers and Accuracy from UAV Images.
Remote. Sens., May, 2023
2022
Hierarchical Classification of Soybean in the Brazilian Savanna Based on Harmonized Landsat Sentinel Data.
Remote. Sens., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
2021
Conformity of the NASADEM_HGT and ALOS AW3D30 DEM with the Altitude from the Brazilian Geodetic Reference Stations: A Case Study from Brazilian Cerrado.
Sensors, 2021
Fire Occurrences and Greenhouse Gas Emissions from Deforestation in the Brazilian Amazon.
Remote. Sens., 2021
Comparative Analysis of the Global Forest/Non-Forest Maps Derived from SAR and Optical Sensors. Case Studies from Brazilian Amazon and Cerrado Biomes.
Remote. Sens., 2021
Digital Soil Mapping Using Multispectral Modeling with Landsat Time Series Cloud Computing Based.
Remote. Sens., 2021
A Comparative Assessment of Machine-Learning Techniques for Forest Degradation Caused by Selective Logging in an Amazon Region Using Multitemporal X-Band SAR Images.
Remote. Sens., 2021
Change Detection of Selective Logging in the Brazilian Amazon Using X-Band SAR Data and Pre-Trained Convolutional Neural Networks.
Remote. Sens., 2021
Improving L-Band SAR Forest Monitoring by Big Data Deep Learning Based on ALOS-2 5 Years Pan-Tropical Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Discriminating Land Use and Land Cover Classes in Brazil Based on the Annual PROBA-V 100 m Time Series.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Discriminating Forest Successional Stages, Forest Degradation, and Land Use in Central Amazon Using ALOS/PALSAR-2 Full-Polarimetric Data.
Remote. Sens., 2020
Woody Aboveground Biomass Mapping of the Brazilian Savanna with a Multi-Sensor and Machine Learning Approach.
Remote. Sens., 2020
Vegetation Fraction Images Derived from PROBA-V Data for Rapid Assessment of Annual Croplands in Brazil.
Remote. Sens., 2020
Mapping Three Decades of Changes in the Brazilian Savanna Native Vegetation Using Landsat Data Processed in the Google Earth Engine Platform.
Remote. Sens., 2020
2019
A Comparative Assessment of Machine-Learning Techniques for Land Use and Land Cover Classification of the Brazilian Tropical Savanna Using ALOS-2/PALSAR-2 Polarimetric Images.
Remote. Sens., 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2015
Preliminary assessment of ALOS/PALSAR images for the international roughness index estimation.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2013
Biophysical Properties of Cultivated Pastures in the Brazilian Savanna Biome: An Analysis in the Spatial-Temporal Domains Based on Ground and Satellite Data.
Remote. Sens., 2013
2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
2009
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
2007
Temporal and spatial dynamics of C-band brightness temperature over the Brazilian tropical savanna.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
2005
A land cover map for the state of Goi's, Brazil: a comparative analysis of different mapping approaches and strategies.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005
2004
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004
Evaluation of MODIS vegetation indices and change thresholds for the monitoring of the Brazilian Cerrado.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004