Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Patricia Arrogante-Funes"'
Publikováno v:
Ecological Indicators, Vol 168, Iss , Pp 112727- (2024)
We present a methodology based on the System of Environmental-Economic Accounting-Ecosystems Accounting (SEEA-EA) framework to measure urban ecosystem condition accounts. This methodology allows the condition accounts of urban ecosystems to be spatia
Externí odkaz:
https://doaj.org/article/b775f89450724acf9f0a7ba803dbb860
Autor:
Patricia Arrogante-Funes, Adrián G. Bruzón, Fátima Arrogante-Funes, Ana María Cantero, Ariadna Álvarez-Ripado, René Vázquez-Jiménez, Rocío N. Ramos-Bernal
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12173 (2022)
Landslides are disasters that cause damage to anthropic activities, innumerable loss of human life, and affect the natural ecosystem and its services globally. The landslide risk evaluated by integrating susceptibility and vulnerability maps has rece
Externí odkaz:
https://doaj.org/article/c0184cd523014a6289330f2e1facb702
Autor:
Rocío N. Ramos-Bernal, René Vázquez-Jiménez, Claudia A. Cantú-Ramírez, Antonio Alarcón-Paredes, Gustavo A. Alonso-Silverio, Adrián G. Bruzón, Fátima Arrogante-Funes, Fidel Martín-González, Carlos J. Novillo, Patricia Arrogante-Funes
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4515 (2021)
Landslides are recognized as high-impact natural hazards in different regions around the world; therefore, they are extensively researched by experts. Landslide inventories are essential to identify areas that are likely to be affected in the future,
Externí odkaz:
https://doaj.org/article/f1611f2935aa421bb25b372fc4a90ee7
Autor:
René Vázquez-Jiménez, Raúl Romero-Calcerrada, Rocío N. Ramos-Bernal, Patricia Arrogante-Funes, Carlos J. Novillo
Publikováno v:
Land, Vol 10, Iss 7, p 731 (2021)
Land cover is crucial for ecosystems and human activities. Therefore, monitoring land cover changes has become relevant in recent years. This study proposes an alternative method based on conventional change detection techniques combined with maximum
Externí odkaz:
https://doaj.org/article/cb760fc19af64f3a99d27c29141802c2
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 1, p 43 (2019)
The temporal evolution of vegetation is one of the best indicators of climate change, and many earth system models are dependent on an accurate understanding of this process. However, the effect of climate change is expected to vary from one land-cov
Externí odkaz:
https://doaj.org/article/57c3c845b02048bf98993d12d67667f1
Autor:
Rocío N. Ramos-Bernal, René Vázquez-Jiménez, Raúl Romero-Calcerrada, Patricia Arrogante-Funes, Carlos J. Novillo
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 1987 (2018)
Natural hazards include a wide range of high-impact phenomena that affect socioeconomic and natural systems. Landslides are a natural hazard whose destructive power has caused a significant number of victims and substantial damage around the world. R
Externí odkaz:
https://doaj.org/article/2da08b977098401086f9f24eb4092c4b
Publikováno v:
Remote Sensing, Vol 10, Iss 11, p 1717 (2018)
In this study, we deal with the application of multiangular data from the Multiangle Imaging Spectroradiometer (MISR) sensor for studying the effect of surface anisotropy and directional information on the classification accuracy for different land c
Externí odkaz:
https://doaj.org/article/8350997648e24ccd8d1df63ace002aeb
Autor:
Patricia Arrogante-Funes, Carlos J. Novillo, Raúl Romero-Calcerrada, René Vázquez-Jiménez, Rocío N. Ramos-Bernal
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 6, Iss 11, p 353 (2017)
In this study, we showed that the multi-angle satellite remote sensing product, MISR L2 Land Surface (MIL2ASLS), which has a scale of 1.1 km, could be suitable for improving land-cover studies. Using seven images from this product, captured by the mu
Externí odkaz:
https://doaj.org/article/6162da37c45a4e0d934b1ad9aae33def
Autor:
René Vázquez-Jiménez, Raúl Romero-Calcerrada, Rocío N. Ramos-Bernal, Patricia Arrogante-Funes, Carlos J. Novillo
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 6, Iss 9, p 287 (2017)
The aim of the topographic normalization of remotely sensed imagery is to reduce reflectance variability caused by steep terrain and thus improve further processing of images. A process of topographic correction was applied to Landsat imagery in a mo
Externí odkaz:
https://doaj.org/article/84548b68631645969432b555a512ae61
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80fb26cbf59670d1d6cfb75544bed186
https://doi.org/10.2139/ssrn.4215747
https://doi.org/10.2139/ssrn.4215747