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哨兵-1雷达数据用于评估土壤和谷物覆盖参数的潜力

Potential of Sentinel-1 Radar Data for the Assessment of Soil and Cereal Cover Parameters.

作者信息

Bousbih Safa, Zribi Mehrez, Lili-Chabaane Zohra, Baghdadi Nicolas, El Hajj Mohammad, Gao Qi, Mougenot Bernard

机构信息

CESBIO (CNRS/UPS/IRD/CNES), 18 Avenue Edouard Belin, 31401 Toulouse CEDEX 9, France.

Université de Carthage/INAT/LR GREEN-TEAM, 43 Avenue Charles Nicolle, Tunis 1082, Tunisia.

出版信息

Sensors (Basel). 2017 Nov 14;17(11):2617. doi: 10.3390/s17112617.

DOI:10.3390/s17112617
PMID:29135929
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5712974/
Abstract

The main objective of this study is to analyze the potential use of Sentinel-1 (S1) radar data for the estimation of soil characteristics (roughness and water content) and cereal vegetation parameters (leaf area index (LAI), and vegetation height (H)) in agricultural areas. Simultaneously to several radar acquisitions made between 2015 and 2017, using S1 sensors over the Kairouan Plain (Tunisia, North Africa), ground measurements of soil roughness, soil water content, LAI and H were recorded. The NDVI (normalized difference vegetation index) index computed from Landsat optical images revealed a strong correlation with in situ measurements of LAI. The sensitivity of the S1 measurements to variations in soil moisture, which has been reported in several scientific publications, is confirmed in this study. This sensitivity decreases with increasing vegetation cover growth (NDVI), and is stronger in the VV (vertical) polarization than in the VH cross-polarization. The results also reveal a similar increase in the dynamic range of radar signals observed in the VV and VH polarizations as a function of soil roughness. The sensitivity of S1 measurements to vegetation parameters (LAI and H) in the VV polarization is also determined, showing that the radar signal strength decreases when the vegetation parameters increase. No vegetation parameter sensitivity is observed in the VH polarization, probably as a consequence of volume scattering effects.

摘要

本研究的主要目的是分析哨兵-1（S1）雷达数据在估算农业地区土壤特性（粗糙度和含水量）以及谷物植被参数（叶面积指数（LAI）和植被高度（H））方面的潜在用途。在2015年至2017年期间，使用S1传感器对突尼斯凯鲁万平原（北非）进行了多次雷达数据采集，同时记录了土壤粗糙度、土壤含水量、LAI和H的地面测量数据。从陆地卫星光学图像计算得出的归一化植被指数（NDVI）与LAI的实地测量结果显示出很强的相关性。本研究证实了在一些科学出版物中报道的S1测量对土壤湿度变化的敏感性。这种敏感性随着植被覆盖度的增加（NDVI）而降低，并且在垂直（VV）极化中比在交叉极化（VH）中更强。结果还表明，在VV和VH极化中观察到的雷达信号动态范围随着土壤粗糙度的变化呈现出类似的增加。研究还确定了S1测量在VV极化中对植被参数（LAI和H）的敏感性，表明当植被参数增加时，雷达信号强度会降低。在VH极化中未观察到对植被参数的敏感性，这可能是体积散射效应的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e1d/5712974/7b778b25364a/sensors-17-02617-g011.jpg
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