A Review of Crop Height Retrieval Using InSAR Strategies: Techniques and Challenges
| Autor: | Juan M. Lopez-Sanchez, Noelia Romero-Puig |
|---|---|
| Přispěvatelé: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal, Universidad de Alicante. Instituto Universitario de Investigación Informática, Señales, Sistemas y Telecomunicación |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Synthetic aperture radar
polarimetric SAR interferometry (PolInSAR) Atmospheric Science Mean squared error Reference data (financial markets) Geophysics. Cosmic physics Polarimetric SAR interferometry (PolInSAR) Interferometric synthetic aperture radar Computers in Earth Sciences TC1501-1800 Remote sensing Mathematics Height QC801-809 rice Coherence (statistics) Ocean engineering Bistatic radar Interferometry Amplitude Teoría de la Señal y Comunicaciones Interferometric SAR (InSAR) Rice interferometric SAR (InSAR) TanDEM-X height |
| Zdroj: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 7911-7930 (2021) RUA. Repositorio Institucional de la Universidad de Alicante Universidad de Alicante (UA) |
| ISSN: | 2151-1535 |
| Popis: | This article compares the performance of four different interferometric synthetic aperture radar (SAR) techniques for the estimation of rice crop height by means of bistatic TanDEM-X data. Methods based on the interferometric phase alone, on the coherence amplitude alone, on the complex coherence value, and on polarimetric SAR interferometry (PolInSAR) are analyzed. Validation is conducted with reference data acquired over rice fields in Spain during the Science Phase of the TanDEM-X mission. Single- and dual-polarized data are exploited to also provide further insights into the polarization influence on these approaches. Vegetation height estimates from methodologies based on the interferometric phase show a general underestimation for the HH channel (with a bias that reaches around 25 cm in mid-July for some fields), whereas the VV channel is strongly influenced by noisy phases, especially at large incidences [root-mean-square error (RMSE) = 31 cm]. Results show that these approaches perform better at shallower incidences than the methodologies based on coherence amplitude and on PolInSAR, which obtain the most suitable results at steep incidences, with RMSE values of 17 and 23 cm. On the contrary, at shallower incidences, they are highly affected by very low input coherence levels. Hence, they tend to overestimate vegetation height. This work was supported by the Spanish Ministry of Science and Innovation, in part by the State Agency of Research, and in part by the European Funds for Regional Development under Project TEC2017-85244-C2-1-P. The work of Noelia Romero-Puig was supported in part by the Generalitat Valenciana and in part by the European Social Fund under Grant ACIF/2018/204. |
| Databáze: | OpenAIRE |
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