气候变化领域集成服务门户(CCPortal): Understanding wheat lodging using multi-temporal Sentinel-1 and Sentinel-2 data

CCPortal

DOI	10.1016/j.rse.2020.111804
	Understanding wheat lodging using multi-temporal Sentinel-1 and Sentinel-2 data
	Chauhan S.; Darvishzadeh R.; Lu Y.; Boschetti M.; Nelson A.
发表日期	2020
ISSN	00344257
卷号	243
英文摘要	Crop lodging assessment is essential for evaluating yield damage and informing crop management decisions for sustainable agricultural production. While a few studies have demonstrated the potential of optical and SAR data for crop lodging assessment, large-scale crop lodging assessment has been hampered by the unavailability of dense satellite time series data. The unprecedented availability of free Sentinel-1 and Sentinel-2 data may provide a basis for operational detection and monitoring of crop lodging. In this context, this study aims to understand the effect of lodging on backscatter/coherence and spectral reflectance derived from Sentinel-1 and Sentinel-2 data and to detect lodging incidence in wheat using time-series analysis. Crop biophysical parameters were measured in the field for both healthy and lodged plots from March to June 2018 in a study site in Ferrara, Italy, and the corresponding Sentinel images were downloaded and processed. The lodged plots were further categorised into different lodging severity classes (moderate, severe and very severe). Temporal profiles of backscatter, coherence, reflectance and continuum removed spectra were studied for healthy and lodging severity classes throughout the stem elongation to ripening growth stages. The Kruskal Wallis and posthoc Tukey tests were used to test for significant differences between different classes. Our results for Sentinel-2 showed that red edge (740 nm) and NIR (865 nm) bands could best distinguish healthy from lodged wheat (particularly healthy and very severe). For Sentinel-1, the analysis revealed the potential of VH backscatter and the complementarity of VV and VH/VV backscatter in distinguishing a maximum number of classes. Our findings demonstrate the potential of Sentinel data for near real-time detection of the incidence and severity of lodging in wheat. To the best of our knowledge, there is no study that has contributed to this application. © 2020 The Authors
英文关键词	Lodging severity; Remote sensing; Sentinel-1; Sentinel-2; Sustainable agriculture; Wheat
语种	英语
scopus关键词	Agricultural robots; Backscattering; Crops; Damage detection; Reflection; Remote sensing; Lodging severity; Sentinel-1; Sentinel-2; Sustainable agriculture; Wheat; Time series analysis; alternative energy; backscatter; biomechanics; remote sensing; ripening; Sentinel; spectral reflectance; synthetic aperture radar; time series analysis; wheat; Italy; Triticum aestivum
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179338
作者单位	Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, 7500AE, Netherlands; CNR-IREA, Institute for Electromagnetic Sensing of the Environment, National Research Council, Milano, 20133, Italy
推荐引用方式 GB/T 7714	Chauhan S.,Darvishzadeh R.,Lu Y.,et al. Understanding wheat lodging using multi-temporal Sentinel-1 and Sentinel-2 data[J],2020,243.
APA	Chauhan S.,Darvishzadeh R.,Lu Y.,Boschetti M.,&Nelson A..(2020).Understanding wheat lodging using multi-temporal Sentinel-1 and Sentinel-2 data.Remote Sensing of Environment,243.
MLA	Chauhan S.,et al."Understanding wheat lodging using multi-temporal Sentinel-1 and Sentinel-2 data".Remote Sensing of Environment 243(2020).