Multitemporal Observations of Sugarcane by TerraSAR-X Images

The objective of this study is to investigate the potential of TerraSAR-X (X-band) in monitoring sugarcane growth on Reunion Island (located in the Indian Ocean). Multi-temporal TerraSAR data acquired at various incidence angles (17°, 31°, 37°, 47°, 58°) and polarizations (HH, HV, VV) were analyzed in order to study the behaviour of SAR (synthetic aperture radar) signal as a function of sugarcane height and NDVI (Normalized Difference Vegetation Index). The potential of TerraSAR for mapping the sugarcane harvest was also studied. Radar signal increased quickly with crop height until a threshold height, which depended on polarization and incidence angle. Beyond this threshold, the signal increased only slightly, remained constant, or even decreased. The threshold height is slightly higher with cross polarization and higher incidence angles (47° in comparison with 17° and 31°). Results also showed that the co-polarizations channels (HH and VV) were well correlated. High correlation between SAR signal and NDVI calculated from SPOT-4/5 images was observed. TerraSAR data showed that after strong rains the soil contribution to the backscattering of sugarcane fields can be important for canes with heights of terminal visible dewlap (htvd) less than 50 cm (total cane heights around 155 cm). This increase in radar signal after strong rains could involve an ambiguity between young and mature canes. Indeed, the radar signal on TerraSAR images acquired in wet soil conditions could be of the same order for fields recently harvested and mature sugarcane fields, making difficult the detection of cuts. Finally, TerraSAR data at high spatial resolution were shown to be useful for monitoring sugarcane harvest when the fields are of small size or when the cut is spread out in time. The comparison between incidence angles of 17°, 37° and 58° shows that 37° is more suitable to monitor the sugarcane harvest. The cut is easily detectable on TerraSAR images for data acquired less than two or three months after the cut. The radar signal decreases about 5dB for images acquired some days after the cut and 3 dB for data acquired two month after the cut (VV-37°). The difference in radar signal becomes negligible (<1 dB) between harvested fields and mature canes for sugarcane harvested since three months or more.

[1]  Nicolas Baghdadi,et al.  Potential of SAR sensors TerraSAR-X, ASAR/ENVISAT and PALSAR/ALOS for monitoring sugarcane crops on Reunion Island , 2009 .

[2]  Hans-Otto Günther,et al.  Supply optimization for the production of raw sugar , 2007 .

[3]  A. Lopes,et al.  Multitemporal and dual-polarization observations of agricultural vegetation covers by X-band SAR images , 1989, IEEE Transactions on Geoscience and Remote Sensing.

[4]  A. Fung Microwave Scattering and Emission Models and their Applications , 1994 .

[5]  M. Beauchemin,et al.  Modelling Forest Stands with MIMICS: Implications for Calibration , 1995 .

[6]  Young-Soo Kim,et al.  Radar backscattering measurements of rice crop using X-band scatterometer , 2000, IEEE Trans. Geosci. Remote. Sens..

[7]  Hui Lin,et al.  Monitoring Sugarcane Growth Using ENVISAT ASAR Data , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[8]  B. Bouman,et al.  Crop parameter estimation from ground-based x-band (3-cm wave) radar backscattering data , 1991 .

[9]  B. Brisco,et al.  Rice monitoring and production estimation using multitemporal RADARSAT , 2001 .

[10]  C. R. de Souza Filho,et al.  ASTER and Landsat ETM+ images applied to sugarcane yield forecast , 2006 .

[11]  Thuy Le Toan,et al.  Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results , 1997, IEEE Trans. Geosci. Remote. Sens..

[12]  Xavier Blaes,et al.  Efficiency of crop identification based on optical and SAR image time series , 2005 .

[13]  Nicolas Baghdadi,et al.  Evaluation of C-band SAR data for wetlands mapping , 2001 .

[14]  P. Pampaloni,et al.  SAR polarimetric features of agricultural areas , 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

[15]  Seiho Uratsuka,et al.  Season-long daily measurements of multifrequency (Ka, Ku, X, C, and L) and full-polarization backscatter signatures over paddy rice field and their relationship with biological variables , 2002 .

[16]  Roger H. Lang,et al.  Electromagnetic backscattering from a sparse distribution of lossy dielectric scatterers , 1981 .

[17]  José Alexandre Melo Demattê,et al.  Discrimination of sugarcane varieties using Landsat 7 ETM+ spectral data , 2006 .

[18]  Niko E. C. Verhoest,et al.  Soil Moisture Influences on the Radar Backscattering of Sugar Beet Fields , 1998 .

[19]  Jiancheng Shi,et al.  Snow mapping in alpine regions with synthetic aperture radar , 1994, IEEE Trans. Geosci. Remote. Sens..

[20]  H. McNairn,et al.  Applying polarimetric radar imagery for mapping the productivity of wheat crops , 2004 .

[21]  H. S. Wolff,et al.  iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.

[22]  Shaun Quegan,et al.  Modeling microwave interactions with crops and comparison with ERS-2 SAR observations , 2000, IEEE Trans. Geosci. Remote. Sens..

[23]  David M. Le Vine,et al.  A microwave polarimetric scattering model for forest canopies based on vector radiative transfer theory , 1995 .

[24]  B. Brisco,et al.  Agricultural applications with radar , 1998 .

[25]  M. Chakraborty,et al.  Rice crop parameter retrieval using multi-temporal, multi-incidence angle Radarsat SAR data , 2005 .

[26]  C. Swift,et al.  Microwave remote sensing , 1980, IEEE Antennas and Propagation Society Newsletter.

[27]  Caroline Lejars,et al.  A decision support approach for cane supply management within a sugar mill area , 2008 .

[28]  S. Paloscia An empirical approach to estimating leaf area index from multifrequency SAR data , 1998 .

[29]  Agnès Bégué,et al.  Improving sugarcane harvest and planting monitoring for smallholders with geospatial technology : the Reunion Island experience , 2007 .