Fabiola Yépez - Academia.edu (original) (raw)

Papers by Fabiola Yépez

Serie Correlación Geológica, Apr 26, 2017

The number of landslide events and rockfalls have been increasing during the last decades in the ... more The number of landslide events and rockfalls have been increasing during the last decades in the Metropolitan Area of Monterrey (AMM) that had been considered as a vulnerable area to mass removal processes due to the accelerated urbanization process. The population, that has now 4 million inhabitants, continues to increase, as well as the pressure for new developments that modify the topography, changes the land use and therefore, interfere with the flows and course of runoff, decreasing the levels of infiltration and representing the detonating factors for the generation of mass removal. For this project, slope instability was modeled using a GIS that incorporated the topographic factors (obtained from the digital elevation model, with a scale at 1 m, obtained from the classification of a LIDAR flight) as well as geotechnical and environmental factors. In addition, other official environmental factors available on-line were obtained such as soil use, surface hydrological currents, lithology, structural geological data and roads provided in vector format. The model was made through a linear sum of the reclassification of the layers, zonification the levels of danger by instability of slopes. The result is a mass-scale hazard map on the middle scale of the City of Monterrey, which serves as the basis for identifying areas where specific studies are required. The result is a map of (1: 10.000-1: 50.000) mass movement hazard of the City of Monterrey, which serves as the basis for identifying areas where specific studies are required.

International journal of environmental research and public health, Jan 10, 2015

The monitoring data of the 13 stations in Xi'an city for the whole years of 2013 and 2014 was... more The monitoring data of the 13 stations in Xi'an city for the whole years of 2013 and 2014 was counted and analyzed. Obtaining the spatial and temporal distribution characteristics of PM2.5 was the goal. Cluster analysis and the wavelet transform were utilized to discuss the regional distribution characteristics of PM2.5 concentration (ρ(PM2.5)) and the main features of its yearly changes and sudden changes. Additionally, some relevant factors were taken into account to interpret the changes. The results show that ρ(PM2.5) in Xi'an during 2013 was generally higher than in 2014, it is high in winter and low in summer, and the high PM2.5 concentration centers are around the People's Stadium and Caotan monitoring sites; For the regional PM2.5 distribution, the 13 sites can be divided into three categories, in which Textile city is Cluster 1, and High-tech Western is Cluster 2, and Cluster 3 includes the remaining 11 monitoring sites; the coefficient of goodness of the cluste...

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013

Light Detection Ranging (Lidar) is an efficient tool to gather points reflected from a terrain an... more Light Detection Ranging (Lidar) is an efficient tool to gather points reflected from a terrain and store them in a xyz coordinate system, allowing the generation of 3D data sets to manage geoinformation. Translation of these coordinates, from an arbitrary system into a geographical base, makes data feasible and useful to calculate volumes and define topographic characteristics at different scales. Lidar technological advancement in topographic mapping enables the generation of highly accurate and densely sampled elevation models, which are in high demand by many industries like construction, mining and forestry. This study merges terrestrial and aerial Lidar data to evaluate the effectiveness of these tools assessing volumetric changes after a hurricane event of riverbeds and scour bridges The resulted information could be an optimal approach to improve hydrological and hydraulic models, to aid authorities in proper to decision making in construction, urban planning, and homeland security.

Remote Sensing

Urban green spaces (UGSs) provide essential environmental services for the well-being of ecosyste... more Urban green spaces (UGSs) provide essential environmental services for the well-being of ecosystems and society. Due to the constant environmental, social, and economic transformations of cities, UGSs pose new challenges for management, particularly in fast-growing metropolitan areas. With technological advancement and the evolution of deep learning, it is possible to optimize the acquisition of UGS inventories through the detection of geometric patterns present in satellite imagery. This research evaluates two deep learning model techniques for semantic segmentation of UGS polygons with the use of different convolutional neural network encoders on the U-Net architecture and very high resolution (VHR) imagery to obtain updated information on UGS polygons at the metropolitan area level. The best model yielded a Dice coefficient of 0.57, IoU of 0.75, recall of 0.80, and kappa coefficient of 0.94 with an overall accuracy of 0.97, which reflects a reliable performance of the network in ...

International Archives of the Photogrammetry, Nov 17, 2013

Light Detection Ranging (Lidar) is an efficient tool to gather points reflected from a terrain an... more Light Detection Ranging (Lidar) is an efficient tool to gather points reflected from a terrain and store them in a xyz coordinate
system, allowing the generation of 3D data sets to manage geoinformation. Translation of these coordinates, from an arbitrary system into a geographical base, makes data feasible and useful to calculate volumes and define topographic characteristics at different scales. Lidar technological advancement in topographic mapping enables the generation of highly accurate and densely sampled elevation models, which are in high demand by many industries like construction, mining and forestry. This study merges terrestrial and aerial Lidar data to evaluate the effectiveness of these tools assessing volumetric changes after a hurricane event of riverbeds and scour bridges The resulted information could be an optimal approach to improve hydrological and hydraulic models, to aid authorities in proper to decision making in construction, urban planning, and homeland security.

Serie Correlación Geológica, Apr 26, 2017

The number of landslide events and rockfalls have been increasing during the last decades in the ... more The number of landslide events and rockfalls have been increasing during the last decades in the Metropolitan Area of Monterrey (AMM) that had been considered as a vulnerable area to mass removal processes due to the accelerated urbanization process. The population, that has now 4 million inhabitants, continues to increase, as well as the pressure for new developments that modify the topography, changes the land use and therefore, interfere with the flows and course of runoff, decreasing the levels of infiltration and representing the detonating factors for the generation of mass removal. For this project, slope instability was modeled using a GIS that incorporated the topographic factors (obtained from the digital elevation model, with a scale at 1 m, obtained from the classification of a LIDAR flight) as well as geotechnical and environmental factors. In addition, other official environmental factors available on-line were obtained such as soil use, surface hydrological currents, lithology, structural geological data and roads provided in vector format. The model was made through a linear sum of the reclassification of the layers, zonification the levels of danger by instability of slopes. The result is a mass-scale hazard map on the middle scale of the City of Monterrey, which serves as the basis for identifying areas where specific studies are required. The result is a map of (1: 10.000-1: 50.000) mass movement hazard of the City of Monterrey, which serves as the basis for identifying areas where specific studies are required.

International journal of environmental research and public health, Jan 10, 2015

The monitoring data of the 13 stations in Xi'an city for the whole years of 2013 and 2014 was... more The monitoring data of the 13 stations in Xi'an city for the whole years of 2013 and 2014 was counted and analyzed. Obtaining the spatial and temporal distribution characteristics of PM2.5 was the goal. Cluster analysis and the wavelet transform were utilized to discuss the regional distribution characteristics of PM2.5 concentration (ρ(PM2.5)) and the main features of its yearly changes and sudden changes. Additionally, some relevant factors were taken into account to interpret the changes. The results show that ρ(PM2.5) in Xi'an during 2013 was generally higher than in 2014, it is high in winter and low in summer, and the high PM2.5 concentration centers are around the People's Stadium and Caotan monitoring sites; For the regional PM2.5 distribution, the 13 sites can be divided into three categories, in which Textile city is Cluster 1, and High-tech Western is Cluster 2, and Cluster 3 includes the remaining 11 monitoring sites; the coefficient of goodness of the cluste...

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013

Light Detection Ranging (Lidar) is an efficient tool to gather points reflected from a terrain an... more Light Detection Ranging (Lidar) is an efficient tool to gather points reflected from a terrain and store them in a xyz coordinate system, allowing the generation of 3D data sets to manage geoinformation. Translation of these coordinates, from an arbitrary system into a geographical base, makes data feasible and useful to calculate volumes and define topographic characteristics at different scales. Lidar technological advancement in topographic mapping enables the generation of highly accurate and densely sampled elevation models, which are in high demand by many industries like construction, mining and forestry. This study merges terrestrial and aerial Lidar data to evaluate the effectiveness of these tools assessing volumetric changes after a hurricane event of riverbeds and scour bridges The resulted information could be an optimal approach to improve hydrological and hydraulic models, to aid authorities in proper to decision making in construction, urban planning, and homeland security.

Remote Sensing

Urban green spaces (UGSs) provide essential environmental services for the well-being of ecosyste... more Urban green spaces (UGSs) provide essential environmental services for the well-being of ecosystems and society. Due to the constant environmental, social, and economic transformations of cities, UGSs pose new challenges for management, particularly in fast-growing metropolitan areas. With technological advancement and the evolution of deep learning, it is possible to optimize the acquisition of UGS inventories through the detection of geometric patterns present in satellite imagery. This research evaluates two deep learning model techniques for semantic segmentation of UGS polygons with the use of different convolutional neural network encoders on the U-Net architecture and very high resolution (VHR) imagery to obtain updated information on UGS polygons at the metropolitan area level. The best model yielded a Dice coefficient of 0.57, IoU of 0.75, recall of 0.80, and kappa coefficient of 0.94 with an overall accuracy of 0.97, which reflects a reliable performance of the network in ...

International Archives of the Photogrammetry, Nov 17, 2013

Light Detection Ranging (Lidar) is an efficient tool to gather points reflected from a terrain an... more Light Detection Ranging (Lidar) is an efficient tool to gather points reflected from a terrain and store them in a xyz coordinate
system, allowing the generation of 3D data sets to manage geoinformation. Translation of these coordinates, from an arbitrary system into a geographical base, makes data feasible and useful to calculate volumes and define topographic characteristics at different scales. Lidar technological advancement in topographic mapping enables the generation of highly accurate and densely sampled elevation models, which are in high demand by many industries like construction, mining and forestry. This study merges terrestrial and aerial Lidar data to evaluate the effectiveness of these tools assessing volumetric changes after a hurricane event of riverbeds and scour bridges The resulted information could be an optimal approach to improve hydrological and hydraulic models, to aid authorities in proper to decision making in construction, urban planning, and homeland security.