Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Miguel Marchamalo"'
Autor:
Carlos García-Lanchares, Miguel Marchamalo-Sacristán, Alfredo Fernández-Landa, Candela Sancho, Vrinda Krishnakumar, Belén Benito
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4207 (2023)
The analysis of deformation dynamics in Guatemala city and its surrounding region presented in this paper holds significant relevance due to the high vulnerability of this area to natural disasters, combined with its rapid urbanization, similar to mo
Externí odkaz:
https://doaj.org/article/a536133a906b464d87ae2c24a87f8938
Autor:
Adrian Jesus Garcia, Beatriz González-Rodrigo, Sara Martinez, Ruben Martinez, Miguel Marchamalo
Publikováno v:
International Journal of Digital Earth, Vol 14, Iss 3, Pp 271-287 (2021)
The old city centers of many major cities represent a great challenge from a constructive point of view since the foundations of the buildings consist of an aggregation of previous constructions. This endorses thorough monitoring activities during an
Externí odkaz:
https://doaj.org/article/145f597a61d34dd9936529a1a972a4d7
Autor:
Miguel Marchamalo-Sacristán, Antonio Miguel Ruiz-Armenteros, Francisco Lamas-Fernández, Beatriz González-Rodrigo, Rubén Martínez-Marín, José Manuel Delgado-Blasco, Matus Bakon, Milan Lazecky, Daniele Perissin, Juraj Papco, Joaquim J. Sousa
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2802 (2023)
The Benínar Dam, located in Southeastern Spain, is an earth-fill dam that has experienced filtration issues since its construction in 1985. Despite the installation of various monitoring systems, the data collected are sparse and inadequate for the
Externí odkaz:
https://doaj.org/article/27c4da0e325f42f3ac662dd5088ca876
Autor:
Miguel Ureña-Pliego, Rubén Martínez-Marín, Beatriz González-Rodrigo, Miguel Marchamalo-Sacristán
Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 5037 (2023)
Artificial intelligence (AI) is delivering major advances in the construction engineering sector in this era of building information modelling, applying data collection techniques based on urban image analysis. In this study, building heights were ca
Externí odkaz:
https://doaj.org/article/4698e5962fb54fa4ba239702f8cd41b8
Autor:
Rubén Sancho Gómez-Zurdo, David Galán Martín, Beatriz González-Rodrigo, Miguel Marchamalo Sacristán, Rubén Martínez Marín
Publikováno v:
Informes de la Construccion, Vol 73, Iss 561, Pp e379-e379 (2021)
En este trabajo se estudia la viabilidad del empleo de drones para el control de deformaciones del terreno y las estructuras, analizando para cada caso, la resolución, precisión y validación con otras técnicas. Se presenta con detalle la técnica
Externí odkaz:
https://doaj.org/article/1aab258dbaac42c1926897a34d57fb96
Publikováno v:
Remote Sensing, Vol 13, Iss 18, p 3611 (2021)
Understanding forest dynamics at the stand level is crucial for sustainable management. Landsat time series have been shown to be effective for identification of drastic changes, such as natural disturbances or clear-cuts, but detecting subtle change
Externí odkaz:
https://doaj.org/article/65d78fec27414288be51842f761cc239
Autor:
Demetrio Meza Rodríguez, Luis Manuel Martínez Rivera, Norman Mercado Silva, Diego García de Jalón Lastra, Marta González del Tánago del Rio, Miguel Marchamalo Sacristán, Celia De la Mora Orozco
Publikováno v:
Terra Latinoamericana, Vol 35, Iss 3, Pp 203-217 (2017)
El caudal superficial a nivel cuenca, constituye hoy en día un proceso clave para los estudios hidrológicos de cualquier índole. El presente trabajo explora la reconstrucción del régimen natural de caudales de la cuenca del Río Ayuquila-Armerí
Externí odkaz:
https://doaj.org/article/61091af3d57e4209a00863c4e8500c98
Autor:
Neha Joshi, Edward T. A. Mitchard, Matthew Brolly, Johannes Schumacher, Alfredo Fernández-Landa, Vivian Kvist Johannsen, Miguel Marchamalo, Rasmus Fensholt
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract There is an urgent need to quantify anthropogenic influence on forest carbon stocks. Using satellite-based radar imagery for such purposes has been challenged by the apparent loss of signal sensitivity to changes in forest aboveground volume
Externí odkaz:
https://doaj.org/article/a98530f084b642e89bfb94a730db05f9
Autor:
Pablo Cisneros-Araujo, Teresa Goicolea, María Cruz Mateo-Sánchez, Juan Ignacio García-Viñás, Miguel Marchamalo, Audrey Mercier, Aitor Gastón
Publikováno v:
Remote Sensing, Vol 13, Iss 6, p 1138 (2021)
Ecological modeling requires sufficient spatial resolution and a careful selection of environmental variables to achieve good predictive performance. Although national and international administrations offer fine-scale environmental data, they usuall
Externí odkaz:
https://doaj.org/article/7d2f7e2402804ed6b089d74f175bac91
Autor:
Jessica Esteban, Ronald E. McRoberts, Alfredo Fernández-Landa, José Luis Tomé, Miguel Marchamalo
Publikováno v:
Remote Sensing, Vol 12, Iss 20, p 3360 (2020)
Forest/non-forest and forest species maps are often used by forest inventory programs in the forest estimation process. For example, some inventory programs establish field plots only on lands corresponding to the forest portion of a forest/non-fores
Externí odkaz:
https://doaj.org/article/a528ad931181445c9b2a7198b61c132d