The Impact of Phenological Developments on Interferometric and Polarimetric Crop Signatures Derived from Sentinel-1: Examples from the DEMMIN Study Site (Germany)

被引:10
作者
Loew, Johannes [1 ,2 ]
Ullmann, Tobias [3 ]
Conrad, Christopher [1 ]
机构
[1] Univ Halle Wittenberg, Inst Geosci & Geog, Dept Geoecol, D-06120 Halle, Saale, Germany
[2] Univ Wurzburg, Inst Geog & Geol, Dept Remote Sensing, D-97074 Wurzburg, Germany
[3] Univ Wurzburg, Inst Geog & Geol, Dept Phys Geog, D-97074 Wurzburg, Germany
关键词
PolSAR; InSAR; Kennaugh matrix; time series; Sentinel-1; crop phenology; DEMMIN; CANOLA; YIELD; DECOMPOSITION; LANDSAT;
D O I
10.3390/rs13152951
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study explores the potential of Sentinel-1 Synthetic Aperture Radar (SAR) to identify phenological phases of wheat, sugar beet, and canola. Breakpoint and extreme value analyses were applied to a dense time series of interferometric (InSAR) and polarimetric (PolSAR) features recorded during the growing season of 2017 at the JECAM site DEMMIN (Germany). The analyses of breakpoints and extrema allowed for the distinction of vegetative and reproductive stages for wheat and canola. Certain phenological stages, measured in situ using the BBCH-scale, such as leaf development and rosette growth of sugar beet or stem elongation and ripening of wheat, were detectable by a combination of InSAR coherence, polarimetric Alpha and Entropy, and backscatter (VV/VH). Except for some fringe cases, the temporal difference between in situ observations and breakpoints or extrema ranged from zero to five days. Backscatter produced the signature that generated the most breakpoints and extrema. However, certain micro stadia, such as leaf development of BBCH 10 of sugar beet or flowering BBCH 69 of wheat, were only identifiable by the InSAR coherence and Alpha. Hence, it is concluded that combining PolSAR and InSAR features increases the number of detectable phenological events in the phenological cycles of crops.
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页数:20
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共 62 条
[1]   Transition from vegetative to reproductive phase [J].
Araki, T .
CURRENT OPINION IN PLANT BIOLOGY, 2001, 4 (01) :63-68
[2]   Potential of SAR sensors TerraSAR-X, ASAR/ENVISAT and PALSAR/ALOS for monitoring sugarcane crops on Reunion Island [J].
Baghdadi, Nicolas ;
Boyer, Nathalie ;
Todoroff, Pierre ;
El Hajj, Mahmoud ;
Begue, Agnes .
REMOTE SENSING OF ENVIRONMENT, 2009, 113 (08) :1724-1738
[3]   Computation and analysis of multiple structural change models [J].
Bai, J ;
Perron, P .
JOURNAL OF APPLIED ECONOMETRICS, 2003, 18 (01) :1-22
[4]   Soybean sowing date: The vegetative, reproductive, and agronomic impacts [J].
Bastidas, A. M. ;
Setryono, T. D. ;
Dobermann, A. ;
Cassman, K. G. ;
Elmore, R. W. ;
Graef, G. L. ;
Specht, J. E. .
CROP SCIENCE, 2008, 48 (02) :727-740
[5]  
Bleinholder H., 2001, BBCH MONOGRAPH, P1
[6]  
Borg E., 2009, DEMMIN TESTSTANDORT
[7]   Performance of Smoothing Methods for Reconstructing NDVI Time-Series and Estimating Vegetation Phenology from MODIS Data [J].
Cai, Zhanzhang ;
Jonsson, Per ;
Jin, Hongxiao ;
Eklundh, Lars .
REMOTE SENSING, 2017, 9 (12)
[8]   Tracking crop phenological development using multi-temporal polarimetric Radarsat-2 data [J].
Canisius, Francis ;
Shang, Jiali ;
Liu, Jiangui ;
Huang, Xiaodong ;
Ma, Baoluo ;
Jiao, Xianfeng ;
Geng, Xiaoyuan ;
Kovacs, John M. ;
Walters, Dan .
REMOTE SENSING OF ENVIRONMENT, 2018, 210 :508-518
[9]   ROBUST LOCALLY WEIGHTED REGRESSION AND SMOOTHING SCATTERPLOTS [J].
CLEVELAND, WS .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1979, 74 (368) :829-836
[10]   A review of target decomposition theorems in radar polarimetry [J].
Cloude, SR ;
Pottier, E .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1996, 34 (02) :498-518