Remote sensing for monitoring photovoltaic solar plants in Brazil using deep semantic segmentation

MVCV Costa, OLF Carvalho, AG Orlandi, I Hirata… - Energies, 2021 - mdpi.com
Brazil is a tropical country with continental dimensions and abundant solar resources that
are still underutilized. However, solar energy is one of the most promising renewable …

Estimation of rooftop solar power potential by comparing solar radiation data and remote sensing data—a case study in Aichi, Japan

X Huang, K Hayashi, T Matsumoto, L Tao, Y Huang… - Remote Sensing, 2022 - mdpi.com
There have been significant advances in the shift from fossil-based energy systems to
renewable energies in recent years. Decentralized solar photovoltaic (PV) is one of the most …

Optimizing urban block morphologies for net-zero energy cities: Exploring photovoltaic potential and urban design prototype

X Geng, D Xie, Z Gou - Building Simulation, 2024 - Springer
The morphology of urban areas plays a crucial role in determining solar potential, which
directly affects photovoltaic capacity and the achievement of net-zero outcomes. This study …

[HTML][HTML] Solar Potential Analysis of Bus Shelters in Urban Environments: A Study Case in Ávila (Spain)

M Sánchez-Aparicio, E González-González… - Remote Sensing, 2023 - mdpi.com
The presence of shadows is one of the main disadvantages of photovoltaic solar panel
installations in urban environments. This article analyses their effect on solar installations …

Comparative analysis of sandy beach and foredune geomorphic change measurements from Apple lidar and small-unoccupied aerial systems

BMJ Burchi, EJ Theuerkauf - Scientific Reports, 2024 - nature.com
Sandy beach and foredune environments are common throughout coastlines globally.
Coastal landscapes are dynamic and vulnerable to water level fluctuations, storm events …

A data-centric approach for wind plant instance-level segmentation using semantic segmentation and GIS

OLF de Carvalho, OA de Carvalho Junior… - Remote Sensing, 2023 - mdpi.com
Wind energy is one of Brazil's most promising energy sources, and the rapid growth of wind
plants has increased the need for accurate and efficient inspection methods. The current …

Favelas 4D: Scalable methods for morphology analysis of informal settlements using terrestrial laser scanning data

A Salazar Miranda, G Du, C Gorman… - … and Planning B …, 2022 - journals.sagepub.com
One billion people live in informal settlements worldwide. The complex and multilayered
spaces that characterize this unplanned form of urbanization pose a challenge to traditional …

Semantic Segmentation on 3D Point Clouds with High Density Variations

R Faulkner, L Haub, S Ratcliffe, I Reid… - … Conference on Digital …, 2023 - ieeexplore.ieee.org
LiDAR scanning for surveying applications acquire measurements over wide areas and long
distances, Which produces large-scale 3D point clouds with significant local density …

[HTML][HTML] Validation of a 3D Local-Scale Adaptive Solar Radiation Model by Using Pyranometer Measurements and a High-Resolution Digital Elevation Model

E Rodríguez, J García-Ferrero… - Sensors (Basel …, 2024 - ncbi.nlm.nih.gov
The result of the multidisciplinary collaboration of researchers from different areas of
knowledge to validate a solar radiation model is presented. The MAPsol is a 3D local-scale …

Building footprint extraction using orthophotos based on Artificial Neural Network and fusion of dense point cloud with Digital Topographic Map—Istanbul, Turkey

N Baş - Arabian Journal of Geosciences, 2022 - Springer
Buildings are important structures that form the fabric of the city, especially in metropolitan
cities. The science of remote sensing has several advantages in the extraction of buildings …