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Fabiane Bordin     University Educator/Researcher 
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Fabiane Bordin published an article in March 2017.
Top co-authors
Mauricio Roberto Veronez

28 shared publications

Universidade do Vale do Rio dos Sinos, São Leopoldo, Rio Grande do Sul

Anibal Gusso

4 shared publications

Environmental Engineering, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo-RS CP275, Brazil

Cristina Cafruni

1 shared publications

Graduate Program in Collective Health, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo-RS CP275, Brazil

Leticia Lenz

1 shared publications

Advanced Visualization Laboratory, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo-RS CP275, Brazil

Sabrina Crija

1 shared publications

Advanced Visualization Laboratory, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo-RS CP275, Brazil

6
Publications
15
Reads
0
Downloads
6
Citations
Publication Record
Distribution of Articles published per year 
(2013 - 2017)
Total number of journals
published in
 
5
 
Publications
Article 0 Reads 2 Citations An Alternative Method of Spatial Autocorrelation for Chlorophyll Detection in Water Bodies Using Remote Sensing Tainá T. Guimarães, Mauricio Roberto Veronez, Emilie C. Kost... Published: 10 March 2017
Sustainability, doi: 10.3390/su9030416
DOI See at publisher website ABS Show/hide abstract
Additional measures of in situ water quality monitoring in natural environments can be obtained through remote sensing because certain elements in water modify its spectral behavior. One of the indicators of water quality is the presence of algae, and the aim of this study was to propose an alternative method for the quantification of chlorophyll in water by correlating spectral data, infrared images, and limnology data. The object of study was an artificial lake located at Unisinos University, São Leopoldo/RS, Brazil. The area has been mapped with a modified NGB (near infrared (N), green (G) and blue (B)) camera coupled to an unmanned aerial vehicle (UAV). From the orthorectified and georeferenced images, a modified normalized difference vegetation index (NDVImod) image has been generated. Additionally, 20 sampling points have been established on the lake. At these points, in situ spectral analysis with a spectroradiometer has been performed, and water samples have been collected for laboratory determination of chlorophyll concentrations. The correlation resulted in two models. The first model, based on the multivariate analysis of spectral data, and the second model, based on polynomial equations from NDVI, had coefficients of determination (R2) of 0.86 and 0.51, respectively. This study confirmed the applicability of remote sensing for water resource management using UAVs, which can be characterized as a quick and easy methodology.
Article 4 Reads 0 Citations AN AUTOMATIC ALGORITHM FOR MINIMIZING ANOMALIES AND DISCREPANCIES IN POINT CLOUDS ACQUIRED BY LASER SCANNING TECHNIQUE Fabiane Bordin, Luiz Gonzaga Jr, Fabricio Galhardo Muller, M... Published: 16 June 2016
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, doi: 10.5194/isprsarchives-xli-b5-779-2016
DOI See at publisher website ABS Show/hide abstract
Laser scanning technique from airborne and land platforms has been largely used for collecting 3D data in large volumes in the field of geosciences. Furthermore, the laser pulse intensity has been widely exploited to analyze and classify rocks and biomass, and for carbon storage estimation. In general, a laser beam is emitted, collides with targets and only a percentage of emitted beam returns according to intrinsic properties of each target. Also, due interferences and partial collisions, the laser return intensity can be incorrect, introducing serious errors in classification and/or estimation processes. To address this problem and avoid misclassification and estimation errors, we have proposed a new algorithm to correct return intensity for laser scanning sensors. Different case studies have been used to evaluate and validated proposed approach.
Article 0 Reads 0 Citations An intensity recovery algorithm (IRA) for minimizing the edge effect of LIDAR data Fabiane Bordin Published: 01 January 2016
European Journal of Remote Sensing, doi: 10.5721/eujrs20164917
DOI See at publisher website
Article 3 Reads 5 Citations Multi-Temporal Patterns of Urban Heat Island as Response to Economic Growth Management Fabiane Bordin, Anibal Gusso, Cristina Cafruni, Mauricio Rob... Published: 16 March 2015
Sustainability, doi: 10.3390/su7033129
DOI See at publisher website ABS Show/hide abstract
For a reliable assessment of sustainability in big cities, it is imperative to evaluate urban ecosystem conditions and the environment of the cities undergoing economic growth. Urban green spaces are valuable sources of evapotranspiration, which is generated by trees and vegetation; these spaces mitigate urban heat islands in cities. Land surface temperature (LST) is closely related to the distribution of land-use and land-cover characteristics and can be used as an indicator of urban environment conditions and development. This study evaluates the patterns of LST distribution through time by employing the thermal spatial distribution signature procedure using thermal infrared data obtained from Landsat-5 Thematic Mapper. A set of 18 images, between 1985 and 2010, was used to study the urban environment during summer in 47 neighborhoods of Porto Alegre, Brazil. On a neighborhood scale, results show a non-linear inverse correlation (R² = 0.55) between vegetation index and LST. The overall average of the LST is 300.23 K (27.8 °C) with a standard deviation of 1.25 K and the maximum average difference of 2.83 K between neighborhoods. Results show that the Thermal Spatial Distribution Signature (TSDS) analysis can help multi-temporal studies for the evaluation of UHI through time.
CONFERENCE-ARTICLE 8 Reads 0 Citations Multitemporal Analysis of Thermal Distribution Characteristics for Urban Heat Islands Management Anibal Gusso, Fabiane Bordin, Mauricio Veronez, Cristina Caf... Published: 05 November 2014
The 4th World Sustainability Forum, doi: 10.3390/wsf-4-f009
DOI See at publisher website ABS Show/hide abstract
The evaluation of the urban ecosystem conditions and environment while cities that are still growing economically, are highly necessary for reliable assessment of sustainability in big cities. The urban green spaces are valuable sources of evapotranspiration process generated by trees and vegetation which mitigates urban heat islands (UHI) in the cities. The Land Surface Temperature (LST) is closely related to the distribution of Land Use and Land Cover (LULC) characteristics and can be used as an indicator of the urban environment conditions and development. This research evaluates the patterns of LST distribution by means the Thermal Spatial Distribution Signature (TSDS) procedure using Thermal Infrared (TIR) data obtained from Landsat-5 Thematic Mapper (TM). A set of eighteen images, between 1985 and 2009, were used to study the urban environment during the summer season, in 47 neighborhoods in the city of Porto Alegre, Brazil. At neighborhood scale, results show a non-linear inverse correlation (R2=0.55) between vegetation index and LST. The overall average of the LST is 300.23 K (27.8˚C) with a standard deviation of 1.25 K. The max difference found between neighborhoods was 2.83 K.
Article 0 Reads 0 Citations Methodology for Acquisition of Intensity Data in Forest Targets Using Terrestrial Laser Scanner Fabiane Bordin, Elba Calesso Teixeira, Silvia Beatriz Alves ... Published: 01 January 2013
IERI Procedia, doi: 10.1016/j.ieri.2013.11.098
DOI See at publisher website
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