Skip to Main content Skip to Navigation
Journal articles

Polarimetric SAR time-series for identification of winter land use

J. Denize 1 Laurence Hubert-Moy 1 E. Pottier 2
1 LETG - Nantes - Littoral, Environnement, Télédétection, Géomatique
CNRS - Centre National de la Recherche Scientifique : UMR6554, EPHE - École pratique des hautes études, UNICAEN - Université de Caen Normandie, UBO - Université de Brest, UR2 - Université de Rennes 2, IGARUN - Institut de Géographie et d'Aménagement
Abstract : In the past decade, high spatial resolution Synthetic Aperture Radar (SAR) sensors have provided information that contributed significantly to cropland monitoring. However, the specific configurations of SAR sensors (e.g., band frequency, polarization mode) used to identify land-use types remains underexplored. This study investigates the contribution of C/L-Band frequency, dual/quad polarization and the density of image time-series to winter land-use identification in an agricultural area of approximately 130 km2 located in northwestern France. First, SAR parameters were derived from RADARSAT-2, Sentinel-1 and Advanced Land Observing Satellite 2 (ALOS-2) time-series, and one quad-pol and six dual-pol datasets with different spatial resolutions and densities were calculated. Then, land use was classified using the Random Forest algorithm with each of these seven SAR datasets to determine the most suitable SAR configuration for identifying winter land-use. Results highlighted that (i) the C-Band (F1-score 0.70) outperformed the L-Band (F1-score 0.57), (ii) quad polarization (F1-score 0.69) outperformed dual polarization (F1-score 0.59) and (iii) a dense Sentinel-1 time-series (F1-score 0.70) outperformed RADARSAT-2 and ALOS-2 time-series (F1-score 0.69 and 0.29, respectively). In addition, Shannon Entropy and SPAN were the SAR parameters most important for discriminating winter land-use. Thus, the results of this study emphasize the interest of using Sentinel-1 time-series data for identifying winter land-use. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
Document type :
Journal articles
Complete list of metadatas

Cited literature [63 references]  Display  Hide  Download

https://hal-univ-rennes1.archives-ouvertes.fr/hal-02442758
Contributor : Laurent Jonchère <>
Submitted on : Thursday, January 16, 2020 - 4:49:26 PM
Last modification on : Wednesday, October 7, 2020 - 3:04:38 AM

File

sensors-19-05574.pdf
Publisher files allowed on an open archive

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

J. Denize, Laurence Hubert-Moy, E. Pottier. Polarimetric SAR time-series for identification of winter land use. Sensors, MDPI, 2019, 19 (24), pp.5574. ⟨10.3390/s19245574⟩. ⟨hal-02442758⟩

Share

Metrics