Hyperspectral Remote Sensing Application for Semi-Urban Areas Monitoring

Ayuga, R.; Gregorio, J.; Marín, Rubén Martínez; Velasco, Marc; Antonio, J.

doi:10.1109/urs.2007.371806

Cited by 10 publications

(8 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The information was able to be grouped into categories that presented similar but not identical characteristics. These results are similar to those reported by Ayuga et al (2007), that encountered some difficulties to discriminate the different materials of rooftops and roads. When two surfaces present similar materials of composition, errors of identification may appear.…”

Section: Validation Of Lwir Data For Materials Identificationsupporting

confidence: 91%

Urban planning and agriculture. Methodology for assessing rooftop greenhouse potential of non-residential areas using airborne sensors

Nadal

Álamús

Pipia

et al. 2017

Science of The Total Environment

View full text Add to dashboard Cite

The integration of rooftop greenhouses (RTGs) in urban buildings is a practice that is becoming increasingly important in the world for their contribution to food security and sustainable development. However, the supply of tools and procedures to facilitate their implementation at the city scale is limited and laborious. This work aims to develop a specific and automated methodology for identifying the feasibility of implementation of rooftop greenhouses in non-residential urban areas, using airborne sensors. The use of Light Detection and Ranging (LIDAR) and Long Wave Infrared (LWIR) data and the Leica ALS50-II and TASI-600 sensors allow for the identification of some building roof parameters (area, slope, materials, and solar radiation) to determine the potential for constructing a RTG. This development represents an improvement in time and accuracy with respect to previous methodology, where all the relevant information must be acquired manually. The methodology has been applied and validated in a case study corresponding to a non-residential urban area in the industrial municipality of Rubí, Barcelona (Spain). Based on this practical application, an area of 36,312m out of a total area of 1,243,540m of roofs with ideal characteristics for the construction of RTGs was identified. This area can produce approximately 600tons of tomatoes per year, which represents the average yearly consumption for about 50% of Rubí total population. The use of this methodology also facilitates the decision making process in urban agriculture, allowing a quick identification of optimal surfaces for the future implementation of urban agriculture in housing. It also opens new avenues for the use of airborne technology in environmental topics in cities.

show abstract

Section: Validation Of Lwir Data For Materials Identificationsupporting

confidence: 91%

Urban planning and agriculture. Methodology for assessing rooftop greenhouse potential of non-residential areas using airborne sensors

Nadal

Álamús

Pipia

et al. 2017

Science of The Total Environment

View full text Add to dashboard Cite

show abstract

“…Para todos los métodos se ha separado el cálculo por rangos de canales reflectivos y emisivos en el caso de las imágenes MASTER (Fig. 4 dcha.) y ASTER, focalizando en los canales térmicos fusionados con fotografía aérea a 2.5 m de resolución, para mejorar la separabilidad de clases manteniendo la información espectral (Rejas et al, 2007), observándose que la nueva variable 6 proyectada registra menor concentración de humedad.…”

Section: Detección De Anomalías Espectrales En La Cvcunclassified

Análisis espectral de materiales geológicos en la Cordillera Volcánica Central de Costa Rica y su relación con la detección remota de anomalías

Rejas¹,

Martínez‐Frías²,

Martínez³

et al. 2014

Estud. geol.

View full text Add to dashboard Cite

“…In order to plan the specific areas to visit in the field campaign conducted between 2 and 6 November 2023, we carried out an analysis of multi-scale, micro, medium and macro-scale, and multi-temporal satellite images from before and after the earthquake (Figure 5). The images and data used correspond to the approach described in [22]. This procedure was performed with the aim of obtaining a first quantitative approximation of the impact of the earthquake on buildings and manmade structures.…”

Section: Field Campaign Planning: Geospatial Images and Pre-processingmentioning

confidence: 99%

Preliminary Geospatial and In Situ Reconnaissance of the 8 September 2023 Moroccan Atlas Earthquake Damage

González-Rodrigo,

Navas-Sánchez,

Rejas-Ayuga

et al. 2024

Buildings

View full text Add to dashboard Cite

This research investigates the post-earthquake performances of structures in four rural villages in the Moroccan Atlas, emphasizing common construction system characteristics and design flaws that render buildings susceptible to seismic events. Village selection was based on a prior multispectral satellite-image study, proving effective for planning high-impact, post-earthquake field campaigns. The significance of this research resides in on-site data collection, facilitating the physical assessment of earthquake-induced damage and identification of inherent vulnerabilities in construction systems. The constructions in the study area exhibited structural design deficiencies, inadequate construction techniques, and urban modifiers, leading to damage extensively documented in the literature, as well as less-documented unique damage. Predominant seismic-design shortcomings in the study area included subpar material quality, insufficient earthquake-resistant design, and unskilled labor. In situ data were complemented by a global geospatial approach using differential synthetic aperture radar interferometry with Copernicus Sentinel 1 data. Once calibrated the proposed methodology with field data, the analysis of remote sensing processing results, allow assessing the damages in other earthquake-affected areas, including those not visited in the field but also impacted by the seismic event.

show abstract

Hyperspectral Remote Sensing Application for Semi-Urban Areas Monitoring

Cited by 10 publications

References 8 publications

Urban planning and agriculture. Methodology for assessing rooftop greenhouse potential of non-residential areas using airborne sensors

Urban planning and agriculture. Methodology for assessing rooftop greenhouse potential of non-residential areas using airborne sensors

Análisis espectral de materiales geológicos en la Cordillera Volcánica Central de Costa Rica y su relación con la detección remota de anomalías

Preliminary Geospatial and In Situ Reconnaissance of the 8 September 2023 Moroccan Atlas Earthquake Damage

Contact Info

Product

Resources

About