Polyanna da Conceição Bispo

Orcid: 0000-0003-0247-8449

According to our database1, Polyanna da Conceição Bispo authored at least 15 papers between 2017 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

Online presence:

On csauthors.net:

Bibliography

2024
Monitoring Cover Crop Biomass in Southern Brazil Using Combined PlanetScope and Sentinel-1 SAR Data.
Remote. Sens., August, 2024

Post-Logging Canopy Gap Dynamics and Forest Regeneration Assessed Using Airborne LiDAR Time Series in the Brazilian Amazon with Attribution to Gap Types and Origins.
Remote. Sens., July, 2024

2023
Application of Hydro-Based Morphological Models for Environmental Assessment of Watersheds.
ISPRS Int. J. Geo Inf., July, 2023

Assessing the Magnitude of the Amazonian Forest Blowdowns and Post-Disturbance Recovery Using Landsat-8 and Time Series of PlanetScope Satellite Constellation Data.
Remote. Sens., June, 2023

2022
Near Real-Time Change Detection System Using Sentinel-2 and Machine Learning: A Test for Mexican and Colombian Forests.
Remote. Sens., 2022

Removal of Ionospheric Effects from Sigma Naught Images of the ALOS/PALSAR-2 Satellite.
Remote. Sens., 2022

Performance of Speckle Filters for COSMO-SkyMed Images From the Brazilian Amazon.
IEEE Geosci. Remote. Sens. Lett., 2022

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

Benefits of Combining ALOS/PALSAR-2 and Sentinel-2A Data in the Classification of Land Cover Classes in the Santa Catarina Southern Plateau.
Remote. Sens., 2021


2020
Discriminating Forest Successional Stages, Forest Degradation, and Land Use in Central Amazon Using ALOS/PALSAR-2 Full-Polarimetric Data.
Remote. Sens., 2020

Carbon Dynamics in a Human-Modified Tropical Forest: A Case Study Using Multi-Temporal LiDAR Data.
Remote. Sens., 2020

Woody Aboveground Biomass Mapping of the Brazilian Savanna with a Multi-Sensor and Machine Learning Approach.
Remote. Sens., 2020

2017
Tropical forest structure observation with TanDEM-X data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017


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