scholarly journals Methodological Proposal for Automated Detection of the Wildland–Urban Interface: Application to the Metropolitan Regions of Madrid and Barcelona

2021 ◽  
Vol 10 (6) ◽  
pp. 381
Author(s):  
Andrea Zambrano-Ballesteros ◽  
Sabina Florina Nanu ◽  
José Tomás Navarro-Carrión ◽  
Alfredo Ramón-Morte

Official information on Land Use Land Cover is essential for mapping wildland–urban interface (WUI) zones. However, these resources do not always provide the geometrical or thematic accuracy required to delimit buildings that are easily exposed to risk of wildfire at the appropriate scale. This research shows that the integration of active remote sensing and official Land Use Land Cover (LULC) databases, such as the Spanish Land Use Land Cover information system (SIOSE), creates the synergy capable of achieving this. An automated method was developed to detect WUI zones by the massive geoprocessing of data from official and open repositories of the Spanish national plan for territory observation (PNOT) of the Spanish national geographic institute (IGN), and it was tested in the most important metropolitan zones in Spain: Barcelona and Madrid. The processing of trillions of LiDAR data and their integration with thousands of SIOSE polygons were managed in a Linux environment, with libraries for geographic processing and a PostgreSQL database server. All this allowed the buildings that are exposed to wildfire risk with a high level of accuracy to be obtained with a methodology that can be applied anywhere in the Spanish territory.

GEOgraphia ◽  
2021 ◽  
Vol 23 (50) ◽  
Author(s):  
Camila Lauria Zenke da Cruz ◽  
Carla Bernadete Madureira Cruz

O conhecimento das interações entre os tipos de cobertura e uso da terra e seus padrões espaço-temporais é fundamental para orientar a utilização racional do espaço. O avanço significativo na disponibilidade de produtos de sensoriamento remoto e de técnicas de processamento em larga escala têm impulsionado o surgimento de importantes iniciativas, como o Projeto MapBiomas. Contudo, há a necessidade de ampliar o conhecimento sobre as vantagens e desvantagens dessas novas tecnologias e produtos. Assim, este estudo buscou compreender as potencialidades dessas novas abordagens através da comparação pixel a pixel dos Mapas de Uso e Cobertura dos Projetos MapBiomas e SEA/2015, este último usado como referência espacial, para duas áreas pilotos do Estado do Rio de Janeiro. Os resultados alcançados sugerem que os Mapas de Uso e Cobertura da Terra do Projeto MapBiomas apresentam alto grau de confiabilidade e se posicionam, no cenário atual, como um importante conjunto de dados e referência para a realização de mapeamentos temáticos. Palavras-chave: Mapeamento Uso e Cobertura da Terra. MapBiomas. Acurácia Global.LAND USE AND LAND COVER THEMATIC ACCURACY EVALUATION REPRESENTED THROUGH MAPBIOMAS IN RIO DE JANEIRO STATEAbstract: Land Use and Land Cover Mappings are important tools to promote the rational use of space. The increase in the availability of remote sensing products, large-scale processing, and machine learning techniques have been promoting great initiatives, such as the MapBiomas Project. However, it is important to recognize the positive aspects and limitations of these new technologies and products. This study aims to better understand the potential of these new approaches through a pixel-by-pixel comparison between MapBiomas and SEA / 2015 LULC. SEA / 2015 LULC was used as a spatial and thematic reference for two pilot areas in the State of Rio de Janeiro. The results suggest that the MapBiomas Project achieved accuracy around 85% and a high level of reliability, and it is also an important source of geospatial data and reference for conducting thematic mappings. Keywords: Thematic Mapping, MapBiomas, Land Use Land Cover Mapping.EVALUACIÓN DE LA PRECISIÓN TEMÁTICA DE LA COBERTURA Y USO DEL TERRENO REPRESENTADO A TRAVÉS DE MAPBIOMES EN RÍO DE JANEIROResumen: El conocimiento de las interacciones entre los tipos de cobertura y uso del suelo y sus patrones espacio-temporales es esencial para orientar el uso racional del espacio. El importante avance en la disponibilidad de productos de teledetección y técnicas de procesamiento a gran escala ha impulsado el surgimiento de importantes iniciativas, como el Proyecto MapBiomas. Sin embargo, es necesario ampliar el conocimiento sobre las ventajas y desventajas de estas nuevas tecnologías y productos. Así, este estudio buscó comprender el potencial de estos nuevos enfoques a través de la comparación píxel a píxel de los Mapas de Uso y Cobertura MapBiomas y SEA / 2015, este último utilizado como referencia espacial, para dos áreas piloto del Estado de Río. de Janeiro. Los resultados obtenidos, con una precisión general de aproximadamente el 85% para ambas áreas de estudio, sugieren que los Mapas de Cobertura y Uso del Suelo del Proyecto MapBiomas tienen un alto grado de confiabilidad, y están posicionados en el escenario actual, como un importante conjunto de datos y referencia para realización de mapeos temáticos. Palabras clave: Uso del suelo y mapeo de cobertura. MapBiomas. Precisión global.


2017 ◽  
Vol 04 (03) ◽  
pp. 272-277
Author(s):  
Tawhida A. Yousif ◽  
Nancy I. Abdalla ◽  
El-Mugheira M. Ibrahim ◽  
Afraa M. E. Adam

2011 ◽  
Vol 13 (5) ◽  
pp. 695-700
Author(s):  
Zhihua TANG ◽  
Xianlong ZHU ◽  
Cheng LI

2019 ◽  
Vol 2 (2) ◽  
pp. 87-99
Author(s):  
Shiva Pokhrel ◽  
Chungla Sherpa

Conservation areas are originally well-known for protecting landscape features and wildlife. They are playing key role in conserving and providing a wide range of ecosystem services, social, economic and cultural benefits as well as vital places for climate mitigation and adaptation. We have analyzed decadal changes in land cover and status of vegetation cover in the conservation area using both national level available data on land use land cover (LULC) changes (1990-2010) and normalized difference vegetation index (NDVI) (2010-2018) in Annapurna conservation area. LULC showed the barren land as the most dominant land cover types in all three different time series 1990, 2000 and 2010 with followed by snow cover, grassland, forest, agriculture and water body. The highest NDVI values were observed at Southern, Southwestern and Southeastern part of conservation area consisting of forest area, shrub land and grassland while toward low to negative in the upper middle to the Northern part of the conservation area.


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