Ricardo Dalagnol
Orcid: 0000-0002-7151-8697Affiliations:
- NASA Jet Propulsion Laboratory (JPL), Pasadena, CA, USA
- University of California, Los Angeles, CA, USA
- National Institute for Space Research (INPE), São José dos Campos, Brazil (PhD)
According to our database1,
Ricardo Dalagnol
authored at least 25 papers
between 2019 and 2024.
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Bibliography
2024
Remote. Sens., March, 2024
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
Post-Hurricane Damage Severity Classification at the Individual Tree Level Using Terrestrial Laser Scanning and Deep Learning.
Remote. Sens., February, 2023
Mapping Tropical Forest Cover and Deforestation with Planet NICFI Satellite Images and Deep Learning in Mato Grosso State (Brazil) from 2015 to 2021.
Remote. Sens., January, 2023
Changes in Carbon Dioxide Balance Associated with Land Use and Land Cover in Brazilian Legal Amazon Based on Remotely Sensed Imagery.
Remote. Sens., 2023
Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model.
CoRR, 2023
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023
Performance de Um Modelo Preditivo Para Simulação do Desmatamento em Boca do Acre - Brasil.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023
Quantifying Selective Logging Intensity Through Airborne LiDAR Data In An Amazon Rainforest: Study Case At Jamari National Forest.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023
2022
Quantifying Post-Fire Changes in the Aboveground Biomass of an Amazonian Forest Based on Field and Remote Sensing Data.
Remote. Sens., 2022
K-textures, a self supervised hard clustering deep learning algorithm for satellite image segmentation.
CoRR, 2022
Comparison of regional scale burned area products for southwestern Brazilian Amazonia.
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022
Mapeamento de corte seletivo na Amazônia Brasileira usando imagens Planet de alta resolução espacial e inteligência artificial: estudo de caso na Floresta Nacional do Jamari.
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022
2021
Forest Canopy Changes in the Southern Amazon during the 2019 Fire Season Based on Passive Microwave and Optical Satellite Observations.
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
Análise da concordância entre dados de degradação florestal DETER e JRC-TMF no município de São Félix do Xingu - PA.
Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021
Mapping irrigated rice using MSI/Sentinel-2 time series of vegetation indices and Random Forest.
Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021
2020
U-Net-Id, an Instance Segmentation Model for Building Extraction from Satellite Images - Case Study in the Joanópolis City, Brazil.
Remote. Sens., 2020
Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images.
Remote. Sens., 2020
Carbon Dynamics in a Human-Modified Tropical Forest: A Case Study Using Multi-Temporal LiDAR Data.
Remote. Sens., 2020
Remote. Sens., 2020
Adjustments to SIF Aid the Interpretation of Drought Responses at the Caatinga of Northeast Brazil.
Remote. Sens., 2020
Delineation of management zones in agricultural fields using cover-crop biomass estimates from PlanetScope data.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Remote. Sens., 2019
Quantifying Canopy Tree Loss and Gap Recovery in Tropical Forests under Low-Intensity Logging Using VHR Satellite Imagery and Airborne LiDAR.
Remote. Sens., 2019