NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region
| Autor: | Emna Ayari, Zeineb Kassouk, Zohra Lili-Chabaane, Nadia Ouaadi, Nicolas Baghdadi, Mehrez Zribi |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | GIScience & Remote Sensing, Vol 61, Iss 1 (2024) |
| Druh dokumentu: | article |
| ISSN: | 15481603 1943-7226 1548-1603 |
| DOI: | 10.1080/15481603.2024.2357878 |
| Popis: | Annual crop monitoring is a key parameter for managing agricultural strategies. Several studies have relied on remote sensing products such as the normalized difference vegetation index (NDVI) as a vegetation dynamic metric. However, the dependence of optical data on weather conditions limits its availability. In this study, we reconstruct the NDVI time series of wheat fields using the moving averages of the Sentinel-1 normalized VH/VV cross-polarization ratio (IN) and the interferometric coherence in VV polarization over wheat selected fields in a semiarid site in Tunisia during two seasons, from 2018 to 2020. The crop cycle is divided into two periods: before and after the heading phase, which occurs in approximately the middle of March. Due to the volume-scattering impact, the second phase is divided into the ripening and maturation phase (NDVI ≥0.4) and senescence phase (NDVI |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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