Henrique Luis Godinho Cassol

Orcid: 0000-0001-6728-4712

According to our database1, Henrique Luis Godinho Cassol authored at least 11 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Characterizing Canopy Structure Variability in Amazonian Secondary Successions with Full-Waveform Airborne LiDAR.
Remote. Sens., June, 2024

2023
Land use and Land Cover Classification in São Paulo, Brazil, Using Landsat-8 Oli Images and Derived Spectral Indices.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Fraction Images Derived from Landsat Mss, TM and Oli Images for Monitoring Forest Cover at the Rondônia State, Brazilian Amazon.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021
Brazilian Savanna Height Estimation Using UAV Photogrammetry.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Comparison of Polarimetric Filters to Retrieve Forest Biomass.
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

Mapping Burned Areas of Mato Grosso State Brazilian Amazon Using Multisensor Datasets.
Remote. Sens., 2020

Vegetation Fraction Images Derived from PROBA-V Data for Rapid Assessment of Annual Croplands in Brazil.
Remote. Sens., 2020

Fire Occurrence in the Brazilian Savanna Conservation Units and their Buffer Zones.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Retrieving Secondary Forest Aboveground Biomass from Polarimetric ALOS-2 PALSAR-2 Data in the Brazilian Amazon.
Remote. Sens., 2019

Polarimetric Alos/Palsar-2 Data for Retrieving Aboveground Biomass of Secondary Forest in the Brazilian Amazon.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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