Abstract
Abstract. Temporal monitoring of crop types is essential for the sustainable management of agricultural activities on both national and global levels. As a practical and efficient tool, remote sensing is widely used in such applications. In this study, Sentinel-1 Synthetic Aperture Radar (SAR) imagery was utilized to investigate the performance of the sensor backscatter image on crop monitoring. Multi-temporal C-band VV and VH polarized SAR images were acquired simultaneously by in-situ measurements which was conducted at Konya basin, central Anatolia Turkey. During the measurements, plant height of maize plant was collected and relationship between backscatter values and plant height was analysed. The maize growth development was described under Biologische Bundesanstalt, bundessortenamt und CHemische industrie (BBCH). Under BBCH stages, the test site was classified as leaf development, stem elongation, heading and flowering in general. The correlation coefficient values indicated high correlation for both polarimetry during the early stages of the plant, while late stages indicated lower values in both polarimetry. As a last step, multi-temporal coverage of crop fields was analysed to map seasonal land use. To this aim, object based image classification was applied following image segmentation. About 80 % accuracies of land use maps were created in this experiment. As preliminary results, it is concluded that Sentinel-1 data provides beneficial information about plant growth. Dual-polarized Sentinel-1 data has high potential for multi-temporal analyses for agriculture monitoring and reliable mapping.
Highlights
Accurate extraction of the agricultural crop pattern and its spatio-temporal monitoring have substantial importance for long term agricultural management
Pre-processing steps follow as radiometric calibration, thermal noise removal, TOPSAR deburst and merge, multi-look, topographic correction using SRTM 1Sec HGT data and co-registration were performed with open source tools of Sentinel Application Platform (SNAP) software (SNAP, 2017)
And 4, mean backscattering coefficient values of each field were determined and the correlation between the in situ measurements was presented. As it is evident from the graphs, Synthetic Aperture Radar (SAR) backscattering coefficient is more sensitive to plant height at the beginning stage of crop growth compared to the later stage
Summary
Accurate extraction of the agricultural crop pattern and its spatio-temporal monitoring have substantial importance for long term agricultural management. It has a vital socioeconomic impact for food resources and sustainability of agricultural activities. Jiao et al (2014) applied object oriented classification for the multi-temporal crop monitoring using polarimetric Radarsat-2 images. Relation between corn height and multi temporal Radarsat-2 images was conducted by (Liao et al, 2018) They showed that early growing season has strong correlation with HV band of data. We analysed multi-temporal C-band VV and VH polarized Sentinel-1 SAR data to investigate the backscatter behaviour of maize crop in the sense of crop pattern mapping in central Turkey. Object based image analysis is applied to achieve multi-temporal crop mapping
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