Classification of agricultural fields using time series of dual polarimetry TerraSAR-X images

Mirzaee, S.; Motagh, Mahdi; Arefi, Hossein; Nooryazdan, M.

doi:10.5194/isprsarchives-xl-2-w3-191-2014

Cited by 9 publications

(7 citation statements)

References 10 publications

(9 reference statements)

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“…As it is outlined in the Introduction, other polarimetric features could be used as inputs for the classifier, as they have been tested at X band in [17][18][19][20]. However, we have not included them in this work because the main focus is placed on the contribution of the interferometric coherence provided by TanDEM-X, which has not been studied elsewhere.…”

Section: Polarimetric Datamentioning

confidence: 99%

“…To date, time series of dual-pol SAR images acquired by TerraSAR-X and TanDEM-X have been successfully applied for crop classification by exploiting either the backscattering coefficient at the two channels [14][15][16] or sets of polarimetric features [17][18][19][20] as inputs to the classifier. An intercomparison is complicated due to the specific conditions of each experiment, in terms of the crop types present in the study sites and the available sets of images.…”

Section: Introductionmentioning

confidence: 99%

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Exploring TanDEM-X Interferometric Products for Crop-Type Mapping

et al. 2020

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The application of satellite single-pass interferometric data to crop-type mapping is demonstrated for the first time in this work. A set of nine TanDEM-X dual-pol pairs of images acquired during its science phase, from June to August 2015, is exploited for this purpose. An agricultural site located in Sevilla (Spain), composed of fields of 13 different crop species, is employed for validation. Sets of input features formed by polarimetric and interferometric observables are tested for crop classification, including single-pass coherence and repeat-pass coherence formed by consecutive images. The backscattering coefficient at HH and VV channels and the correlation between channels form the set of polarimetric features employed as a reference set upon which the added value of interferometric coherence is evaluated. The inclusion of single-pass coherence as feature improves by 2% the overall accuracy (OA) with respect to the reference case, reaching 92%. More importantly, in single-pol configurations OA increases by 10% for the HH channel and by 8% for the VV channel, reaching 87% and 88%, respectively. Repeat-pass coherence also improves the classification performance, but with final scores slightly worse than with single-pass coherence. However, it improves the individual performance of the backscattering coefficient by 6–7%. Furthermore, in products evaluated at field level the dual-pol repeat-pass coherence features provide the same score as single-pass coherence features (overall accuracy above 94%). Consequently, the contribution of interferometry, both single-pass and repeat-pass, to crop-type mapping is proved.

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Section: Polarimetric Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring TanDEM-X Interferometric Products for Crop-Type Mapping

et al. 2020

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“…This can be due to the fact that both maize and barley are cultivated for various purposes and the purpose for which the crops are intended impacts on the method of cultivation. The fact that the study in the Fuhrberg area applied a filter in the data processing could also probably explain the slight differences that existed in the mean backscatter values [27]. In order to improve the performance of crop separability by the means of the backscatter values, records of other parameters, like soil characteristic values, the moisture present on the surface of the leaves during the time of acquisition, the local weather condition during the time of acquisition, and the cultivation practices undertaken by the farmer e.g.…”

Section: Discussionmentioning

confidence: 99%

Separability of Dominant Crop Cultures in Southern Germany Using TerraSAR-X Data

Thiongo¹,

Pasternak²,

Kleusberg³

et al. 2015

ARS

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“…The classification was done for the two years by using polarimetric features of one satellite images (TSX). The procedure has been defined in the previous paper of Mirzaee et al, (2014). Then two types of coherence values were plotted for each class, which are copolar coherence with HH and VV channels of TSX, and interferometric coherence of HH and also VV of two satellites (TSX and TDX).…”

Section: Methodsmentioning

confidence: 99%

Phenological tracking og agricultural feilds investigated by using dual polarimetry tanDEM-X images

Mirzaee

Motagh

Arefi

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Remote sensing plays a key role in monitoring and assessing environmental changes. Because of its special imaging characteristics such as high-resolution, capabilities to obtain data in all weather conditions and sensitivity to geometrical and dielectric properties of the features, Synthetic Aperture Radar (SAR) technology has become a powerful technique to detect small scale changes related to earth surface.SAR images contain the information of both phase and intensity in different modes like single, dual and full polarimetric states which are important in order to extract information about various targets. In this study we investigate phenological changes in an agricultural region using high-resolution X-band SAR data. The case study is located in Doroud region of Lorestan province, west of Iran. The purpose is to investigate the ability of copolar and interferometric coherence extracted from TanDEM-X dual polarimetry (HH/VV) in bistatic StripMap mode for tracking the phenological changes of crops during growing season. The data include 11 images acquired between 12. 06.2012 and 02.11.2012 and 6 images acquired between 30.05.2013 and 04.08.2013 in the CoSSC format. Results show that copolar coherence is almost able to follow phenological changes but interferometric coherence has a near constant behaviour with fluctuations mainly related to baseline variations.

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Classification of agricultural fields using time series of dual polarimetry TerraSAR-X images

Cited by 9 publications

References 10 publications

Exploring TanDEM-X Interferometric Products for Crop-Type Mapping

Exploring TanDEM-X Interferometric Products for Crop-Type Mapping

Separability of Dominant Crop Cultures in Southern Germany Using TerraSAR-X Data

Phenological tracking og agricultural feilds investigated by using dual polarimetry tanDEM-X images

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