Zobrazeno 1 - 10
of 474
pro vyhledávání: '"M. Lopez Sanchez"'
Autor:
Roberto Tomás, Qiming Zeng, Juan M. Lopez-Sanchez, Chaoying Zhao, Zhenhong Li, Xiaojie Liu, María I. Navarro-Hernández, Liuru Hu, Jiayin Luo, Esteban Díaz, William T. Szeibert, José Luis Pastor, Adrián Riquelme, Chen Yu, Miguel Cano
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 602-623 (2024)
Landslides are destructive geohazards to people and infrastructure, resulting in hundreds of deaths and billions of dollars of damage every year. Therefore, mapping the rate of deformation of such geohazards and understanding their mechanics is of pa
Externí odkaz:
https://doaj.org/article/df16b54851624df58f17e0af88068e6c
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 799-804 (2024)
Monitoring crop phenology is essential for managing field disasters, protecting the environment, and making decisions about agricultural productivity. Because of its high timeliness, high resolution, great penetration, and sensitivity to specific str
Externí odkaz:
https://doaj.org/article/9f79610147e54099988be97b11eaafe6
Autor:
Mireia Mas, Albert Aguasca, Antoni Broquetas, Xavier Fabregas, Jordi J. Mallorqui, Jordi Llop, Juan M. Lopez-Sanchez, Julia Kubanek
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11866-11876 (2024)
Current climate and weather changes urged the scientific community to find ways to observe and understand the relatively rapid land-atmosphere processes related to the water cycle. The HydroSoil project, funded by the European Space Agency, was propo
Externí odkaz:
https://doaj.org/article/281ca50cd1454aefb3554411e0f24286
Autor:
Zhiwei Liu, Jianjun Zhu, Juan M. Lopez-Sanchez, Cristina Gomez, Haiqiang Fu, Cui Zhou, Huiqiang Wang, Rong Zhao
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11598-11617 (2024)
To address the challenge of retrieving subcanopy topography using single-baseline single-polarization TanDEM-X interferometric synthetic aperture radar (InSAR) data, we propose a novel InSAR processing framework. Our methodology begins by employing t
Externí odkaz:
https://doaj.org/article/71d6b2ab82e64982b206c5bfc1c490a8
Autor:
Tao Zhang, Haiqiang Fu, Jianjun Zhu, Juan M. Lopez-Sanchez, Cristina Gomez, Changcheng Wang, Wenjie He, Zhiwei Liu
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5484-5499 (2024)
TanDEM-X interferometric synthetic aperture radar (InSAR) data have demonstrated promising advantages and potential in recent years for the inversion of forest height. InSAR coherence becomes the primary input feature when a precise digital terrain m
Externí odkaz:
https://doaj.org/article/62faa9404a724e39bd65d17e79254ee9
Autor:
Albert Aguasca, Antoni Broquetas, Juan M. Lopez-Sanchez, Xavier Fabregas, Jordi J. Mallorqui Franquet, Mireia Mas
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1338-1347 (2024)
Geosynchronous synthetic aperture radar (GeoSAR) missions offer the advantage of near-continuous monitoring of specific regions on Earth, making them essential for applications that require continuous information. However, wind-induced motion along t
Externí odkaz:
https://doaj.org/article/6491f5aad3974e00a2ffc6956844bda1
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103581- (2023)
Sentinel−1 (S1) data enables effective monitoring of displacements using persistent scatterer interferometry (PSI). S1 includes VV and VH polarization channels, allowing us to apply polarimetric techniques to PSI. In short, polarimetric PSI (PolPSI
Externí odkaz:
https://doaj.org/article/6850569c7b5d4c1bb5c2645438617f47
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 9858-9873 (2023)
Despeckling is an essential task in polarimetric synthetic aperture radar (PolSAR) image processing. Most of the existing filters developed for multitemporal synthetic aperture radar (SAR) images make use of either real or complex information. Real i
Externí odkaz:
https://doaj.org/article/e808bdf3720b4ce985d96ba040e042cd
Publikováno v:
Remote Sensing, Vol 15, Iss 23, p 5517 (2023)
Forest canopy height estimation is essential for forest management and biomass estimation. In this study, we aimed to evaluate the capacity of TanDEM-X interferometric synthetic aperture radar (InSAR) data to estimate canopy height with the assistanc
Externí odkaz:
https://doaj.org/article/1748cb584e144012a688f01a705e4da0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 7997-8009 (2022)
Time series of Sentinel-1 data are widely used for monitoring displacements of the Earth surface using persistent scatterer interferometry. By default over land, Sentinel-1 images include two polarimetric channels: 1) VV and 2) VH. However, most work
Externí odkaz:
https://doaj.org/article/46df37857a054464a806dc0b6428c091