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:
Collaborative distances:
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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
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
Aboveground Woody Biomass Estimation of the Brazilian Cerrado Biome Using Data Integration.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017