Marcos César Ferreira
Biographic Data
| ID | 8555098 |
|---|---|
| NAME | Marcos César Ferreira |
| GIVEN NAMES | Marcos César |
| FAMILY NAME | Ferreira |
| SIGNATURE | FERREIRA M C |
| AFFILIATIONS | Universidade Estadual de Campinas (UNICAMP) |
| ORCID | 0000-0003-4187-8437 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Land Use and Land Cover Classification in the Northern Region of Mozambique Based on Landsat Time Series and Machine Learning
Accurate land use and land cover (LULC) mapping is essential for scientific and decision-making purposes. The objective of this paper was to map LULC classes in the northern region of Mozambique between 2011 and 2020 based on Landsat time series processed by the Random Forest classifier in the Google Earth Engine platform. The feature selection method was used to reduce redundant data. The final maps comprised five LULC classes (non-vegetated are…
Identificação De Áreas Prioritárias Associadas Espacialmente À Incidência De Dengue No Município De Campinas (Sp), Entre 2013 E 2016
The aim of this paper is to evaluate the application of some spatial analysis methods to clusters detection in studies related to dengue epidemics. Among these methods, we considered the kernel density estimation method, Moran's local autocorrelation and the Scan cluster detection methods. The municipality of Campinas, in Sao Paulo, Brazil, has epidemiological and geographic characteristics that favor the infestation by Aedes aegypti mosquitoes. …
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Land Use and Land Cover Classification in the Northern Region of Mozambique Based on Landsat Time Series and Machine Learning
Accurate land use and land cover (LULC) mapping is essential for scientific and decision-making purposes. The objective of this paper was to map LULC classes in the northern region of Mozambique between 2011 and 2020 based on Landsat time series processed by the Random Forest classifier in the Google Earth Engine platform. The feature selection method was used to reduce redundant data. The final maps comprised five LULC classes (non-vegetated are…
Identificação De Áreas Prioritárias Associadas Espacialmente À Incidência De Dengue No Município De Campinas (Sp), Entre 2013 E 2016
The aim of this paper is to evaluate the application of some spatial analysis methods to clusters detection in studies related to dengue epidemics. Among these methods, we considered the kernel density estimation method, Moran's local autocorrelation and the Scan cluster detection methods. The municipality of Campinas, in Sao Paulo, Brazil, has epidemiological and geographic characteristics that favor the infestation by Aedes aegypti mosquitoes. …
Geography (2 works) · Biology (1 work) · Cartography (1 work) · Computer Science (1 work) · Deciduous (1 work) · Dengue fever (1 work) · Ecology (1 work) · Environmental Science (1 work) · Evergreen (1 work) · Evergreen forest (1 work)