Time-Series of Sentinel-1 Interferometric Coherence and Backscatter for Crop-Type Mapping

Autor: Alejandro Mestre-Quereda, Juan M. Lopez-Sanchez, Fernando Vicente-Guijalba, Alexander W. Jacob, Marcus E. Engdahl

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 4070-4084 (2020)

The potential use of the interferometric coherence measured with Sentinel-1 satellites as input feature for crop classification is explored in this study. A one-year time-series of Sentinel-1 images acquired over an agricultural area in Spain, in whi

Externí odkaz: https://doaj.org/article/7726c448d5244d058062063a179b8567

Range Spectral Filtering in SAR Interferometry: Methods and Limitations

Autor: Alejandro Mestre-Quereda, Juan M. Lopez-Sanchez, Jordi J. Mallorqui

Publikováno v: Sensors, Vol 22, Iss 22, p 8696 (2022)

A geometrical decorrelation constitutes one of the sources of noise present in Synthetic Aperture Radar (SAR) interferograms. It comes from the different incidence angles of the two images used to form the interferograms, which cause a spectral (freq

Externí odkaz: https://doaj.org/article/ffc8d05f905a4947953576c940504481

Range spectral filtering in SAR interferometry: methods and limitations

Autor: Juan M Lopez-Sanchez, Jordi J. Mallorqui, Alejandro Mestre-Quereda

Publikováno v: Sensors; Volume 22; Issue 22; Pages: 8696

A geometrical decorrelation constitutes one of the sources of noise present in Synthetic Aperture Radar (SAR) interferograms. It comes from the different incidence angles of the two images used to form the interferograms, which cause a spectral (freq

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2be900c5d00492f9ded019a9943457d2
https://hdl.handle.net/2117/378215

Initial Tests for the Generation of a Spanish National Map of Forest Height from Tandem-X Data

Autor: Alejandro Mestre-Quereda, Noelia Romero-Puig, Cristina Gómez, Q. Xie, He Wenjie, Jianjun Zhu, Haiqiang Fu, Juan M. Lopez-Sanchez

Publikováno v: IGARSS

The first results of a project aimed at estimating forest height over the entire Spain by means of TanDEM-X data are shown and discussed in this work. Four test sites representative of the Spanish forests are introduced, as well as the data used for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fca2d6fba72a7b4d8d505dde2ac9f720
https://doi.org/10.1109/igarss39084.2020.9324426

Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers

Autor: Javier Duro, Shaojia Ge, Alejandro Mestre-Quereda, Marco Lavalle, Eric Pottier, Harald Kristen, Claudia Notarnicola, Carlos Lopez-Martinez, Oleg Antropov, Gopika Suresh, Jordi Joan Mallorquí Franquet, Marius Litzinger, Jaan Praks, Marcus Engdahl, Juan M. Lopez-Sanchez, Fernando Vicente-Guijalba, Dariusz Ziolkowski, Alexander Jacob, Yifang Ban

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, pp.535-552. ⟨10.1109/JSTARS.2019.2958847⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 535-552 (2020)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Jacob, A W, Notarnicola, C, Suresh, G, Antropov, O, Ge, S, Praks, J, Ban, Y, Pottier, E, Mallorqui Franquet, J J, Duro, J, Engdahl, M E, Vicente-Guijalba, F, Lopez-Martinez, C, Lopez-Sanchez, J M, Litzinger, M, Kristen, H, Mestre-Quereda, A, Ziolkowski, D & Lavalle, M 2020, ' Sentinel-1 InSAR Coherence for Land Cover Mapping : A Comparison of Multiple Feature-Based Classifiers ', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, 8966616, pp. 535-552 . https://doi.org/10.1109/JSTARS.2019.2958847
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2020, 13, pp.535-552. ⟨10.1109/JSTARS.2019.2958847⟩

This article investigates and demonstrates the suitability of the Sentinel-1 interferometric coherence for land cover and vegetation mapping. In addition, this study analyzes the performance of this feature along with polarization and intensity produ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::737eb6b58cdba4c52cf13d08c371a1b0
https://hal.science/hal-02494546/document