Alex Gois Orlandi

ORCID: 0000-0003-3303-2642
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About
Contact & Profiles
Research Areas
  • Geochemistry and Geologic Mapping
  • Remote-Sensing Image Classification
  • Automated Road and Building Extraction
  • E-Government and Public Services
  • Soil erosion and sediment transport
  • Soil Geostatistics and Mapping
  • Business and Management Studies
  • Energy and Environment Impacts
  • Solar Radiation and Photovoltaics
  • Maritime Ports and Logistics
  • Advanced Neural Network Applications
  • Remote Sensing and LiDAR Applications
  • Reservoir Engineering and Simulation Methods
  • Soil Moisture and Remote Sensing
  • Geography and Environmental Studies

Universidade de Brasília
2021-2023

Agência Nacional de Energia Elétrica
2021-2023

Brazil is a tropical country with continental dimensions and abundant solar resources that are still underutilized. However, energy one of the most promising renewable sources in country. The proper inspection Photovoltaic (PV) plants an issue great interest for Brazilian territory’s management agency, advances computer vision deep learning allow automatic, periodic, low-cost monitoring. present research aims to identify PV using semantic segmentation mosaicking approach large image...

10.3390/en14102960 article EN cc-by Energies 2021-05-20

This research aims to determine the vertical accuracy of Interferometric Digital Elevation Model (DEM) obtained from processed Shuttle Radar Topographic Mission (SRTM) data. The compared SRTM-GL1 (Shuttle Mission-Global 1) with 30-meter resolution and following 90-meter models: (a) EMBRAPA; (b) Hydrological data maps based on Derivatives at multiple Scales (HydroSHEDS) (HydroSHEDS), provided by United States Geological Survey (USGS); (c) Consultative Group for International Agricultural...

10.1590/s1982-21702019000400021 article EN Boletim de Ciências Geodésicas 2019-01-01

Wind energy is one of Brazil’s most promising sources, and the rapid growth wind plants has increased need for accurate efficient inspection methods. The current onsite visits, which are laborious costly, have become unsustainable due to sheer scale across country. This study proposes a novel data-centric approach integrating semantic segmentation GIS obtain instance-level predictions by using free orbital satellite images. Additionally, we introduce new annotation pattern, includes turbines...

10.3390/rs15051240 article EN cc-by Remote Sensing 2023-02-23

Num mundo em que as economias dependem diretamente de energia para manter o crescimento e a qualidade vida seus habitantes, os países se preocupam cada vez mais com sustentabilidade uma expansão da matriz elétrica por meio fontes renováveis. O objetivo deste estudo é apresentar visão transformação do Brasil, destacando incremento das eólica solar, analisar como atuação agência reguladora setor elétrico brasileiro está evoluindo fiscalização novas usinas. Na metodologia pesquisa, foram...

10.69518/rtcu.154.146-171 article PT Revista do TCU 2024-12-04

A presente pesquisa tem como objetivo demonstrar o controle gerencial na administração pública pode aplicar sensoriamento remoto por meio de imagens gratuitas satélite ferramenta transformação digital, gerando economia e eficiência. O trabalho base um projeto piloto em desenvolvimento Agência Nacional Energia Elétrica (ANEEL) para a fiscalização das obras usinas fotovoltaicas geração energia implantação. Os resultados obtidos mostram potencial enriquecimento que uso traz aos processos...

10.12660/cgpc.v26n83.80456 article PT Cadernos Gestão Pública e Cidadania 2021-01-02

The present research aims to analyze the case of use free satellite images in inspection works hydroelectric plants and propose its management regional development. study performs a multitemporal analysis CBERS-4 Sentinel-2 data assist process National Electric Energy Agency proposes reflection on this technology as tool for development management. methodology observed reports, with different temporal spatial resolutions ability integrate electricity generation Brazil through...

10.54399/rbgdr.v18i2.6430 article EN cc-by-nc Revista Brasileira de Gestão e Desenvolvimento Regional 2022-08-14
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