Detection and Characterization of Hedgerows Using TerraSAR-X Imagery

Autor: Julie Betbeder, Jean Nabucet, Eric Pottier, Jacques Baudry, Samuel Corgne, Laurence Hubert-Moy

Publikováno v: Remote Sensing, Vol 6, Iss 5, Pp 3752-3769 (2014)

Whilst most hedgerow functions depend upon hedgerow structure and hedgerow network patterns, in many ecological studies information on the fragmentation of hedgerows network and canopy structure is often retrieved in the field in small areas using ac

Externí odkaz: https://doaj.org/article/dcc367a57e7b489f92fb149b74dc52f6

Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning

Autor: Marco Lavalle, Mariano García, Eric Pottier, Naoto Yokoya, Junshi Xia, Heiko Balzter, Maryam Pourshamsi

Publikováno v: ISPRS Journal of Photogrammetry and Remote Sensing. 172:79-94

Forest height is an important forest biophysical parameter which is used to derive important information about forest ecosystems, such as forest above ground biomass. In this paper, the potential of combining Polarimetric Synthetic Aperture Radar (Po

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b9acaea08d6aea05ec43a451dfbece28
https://doi.org/10.1016/j.isprsjprs.2020.11.008

The SWALIS project: first results for airborne radar measurements in Ka band

Autor: Guy Grunfelder, Eric Pottier, Stephane Meric, Jean-Claude Kokou Koumi

Publikováno v: 17th European Radar Conference, EuRAD 2020
17th European Radar Conference, EuRAD 2020, Jan 2021, Utrecht, Netherlands. pp.194-197, ⟨10.1109/EuRAD48048.2021.00057⟩

International audience; This paper describes the SWALIS (Still Water Low Incidence Scattering) radar system. This radar is dedicated to oceanography and hydrology applications which are based on near nadir incidence angles. Our first measurements hav

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07a97640eef868baaf0991e7eb1c71d1
https://doi.org/10.1109/eurad48048.2021.00057

Agriculture and Wetland Applications

Autor: J.D. Ballester-Berman, Irena Hajnsek, Shane R. Cloude, R. Brooks, Thomas Jagdhuber, Juan M. Lopez-Sanchez, Henning Skriver, Gulab Singh, G. Gosselin, Samuel Corgne, Shimon Wdowinski, Eric Pottier, Jiali Shang, Ridha Touzi, Yoshio Yamaguchi, H. McNairn, Fernando Vicente-Guijalba, Cecile Marechal, Laurence Hubert-Moy

Publikováno v: Lopez-Sanchez, J M, Ballester-Berman, J D, Vicente-Guijalba, F, Cloude, S R, McNairn, H, Shang, J, Skriver, H, Jagdhuber, T, Hajnsek, I, Pottier, E, Marechal, C, Hubert-Moy, L, Corgne, S, Wdowinski, S, Touzi, R, Gosselin, G, Brooks, R, Yamaguchi, Y & Singh, G 2021, Agriculture and Wetland Applications . in I Hajnsek & Y-L Desnos (eds), Polarimetric Synthetic Aperture Radar : Principles and Application . vol. 25, Springer, Cham, Remote Sensing and Digital Image Processing, pp. 119-178 . https://doi.org/10.1007/978-3-030-56504-6_3
I. Hajnsek, Y.-L. Desnos (eds.), Polarimetric Synthetic Aperture Radar, Remote Sensing and Digital Image Processing 25,https://doi.org/10.1007/978-3-030-56504-6_3
I. Hajnsek, Y.-L. Desnos (eds.), Polarimetric Synthetic Aperture Radar, Remote Sensing and Digital Image Processing 25, https://doi.org/10.1007/978-3-030-56504-6_3, 2021
Polarimetric Synthetic Aperture Radar ISBN: 9783030565022
I. Hajnsek, Y.-L. Desnos (eds.), Polarimetric Synthetic Aperture Radar, Remote Sensing and Digital Image Processing 25,https://doi.org/10.1007/978-3-030-56504-6_3, 2023
HAL

Based on experimental results, this chapter describes applications of SAR polarimetry to extract relevant information on agriculture and wetland scenarios by exploiting differences in the polarimetric signature of different scatterers, crop types and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccd6ca646e7c7f83e2eed8e5fec7478a
https://orbit.dtu.dk/en/publications/5f55d546-7705-46e7-8207-5c7235ad442d

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