Towards detecting mowing of agricultural grasslands from multi-temporal COSMO-SkyMed data

Karlis Zalite, Kaupo Voormansik, Jaan Praks, Oleg Antropov, Mart Noorma

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

6 Citations (Scopus)

Abstract

This work investigates applicability of spaceborne repeat-pass interferometric SAR images for detecting mowing events on agricultural fields. Four pairs of one-day repeat-pass COSMO-SkyMed acquisitions were analysed and compared to in situ measurements of 11 agricultural grasslands to study the potential of X-band temporal interferometric coherence for detecting mowing events. Field works covered 11 test plots in Central Estonia with varying species composition and homogeneity. Temporal decorrelation due to changes in the grass height and wet biomass was analysed. A nonlinear relationship was observed between the wet biomass and temporal coherence, as well as between the grass height and the temporal coherence. Our results show that one-day temporal coherence decreases as the grass height and the wet biomass increases, until reaching a noise level at 25 cm and 400 g, respectively. The current study shows that detecting mowing event from multitemporal interferometric SAR images is a feasible technique and could be used for monitoring applications on the European level.

Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5076-5079
Number of pages4
ISBN (Electronic)978-1-47995-775-0
DOIs
Publication statusPublished - 4 Nov 2014
MoE publication typeA4 Article in a conference publication
EventJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada
Duration: 13 Jul 201418 Jul 2014

Conference

ConferenceJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
CountryCanada
CityQuebec City
Period13/07/1418/07/14

Fingerprint

COSMO-SkyMed
mowing
grassland
grass
Biomass
biomass
synthetic aperture radar
in situ measurement
homogeneity
fieldwork
monitoring
Monitoring
Chemical analysis

Keywords

  • Radar remote sensing

Cite this

Zalite, K., Voormansik, K., Praks, J., Antropov, O., & Noorma, M. (2014). Towards detecting mowing of agricultural grasslands from multi-temporal COSMO-SkyMed data. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 5076-5079). [6947638] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2014.6947638
Zalite, Karlis ; Voormansik, Kaupo ; Praks, Jaan ; Antropov, Oleg ; Noorma, Mart. / Towards detecting mowing of agricultural grasslands from multi-temporal COSMO-SkyMed data. International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc., 2014. pp. 5076-5079
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title = "Towards detecting mowing of agricultural grasslands from multi-temporal COSMO-SkyMed data",
abstract = "This work investigates applicability of spaceborne repeat-pass interferometric SAR images for detecting mowing events on agricultural fields. Four pairs of one-day repeat-pass COSMO-SkyMed acquisitions were analysed and compared to in situ measurements of 11 agricultural grasslands to study the potential of X-band temporal interferometric coherence for detecting mowing events. Field works covered 11 test plots in Central Estonia with varying species composition and homogeneity. Temporal decorrelation due to changes in the grass height and wet biomass was analysed. A nonlinear relationship was observed between the wet biomass and temporal coherence, as well as between the grass height and the temporal coherence. Our results show that one-day temporal coherence decreases as the grass height and the wet biomass increases, until reaching a noise level at 25 cm and 400 g, respectively. The current study shows that detecting mowing event from multitemporal interferometric SAR images is a feasible technique and could be used for monitoring applications on the European level.",
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Zalite, K, Voormansik, K, Praks, J, Antropov, O & Noorma, M 2014, Towards detecting mowing of agricultural grasslands from multi-temporal COSMO-SkyMed data. in International Geoscience and Remote Sensing Symposium (IGARSS)., 6947638, Institute of Electrical and Electronics Engineers Inc., pp. 5076-5079, Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014, Quebec City, Canada, 13/07/14. https://doi.org/10.1109/IGARSS.2014.6947638

Towards detecting mowing of agricultural grasslands from multi-temporal COSMO-SkyMed data. / Zalite, Karlis; Voormansik, Kaupo; Praks, Jaan; Antropov, Oleg; Noorma, Mart.

International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc., 2014. p. 5076-5079 6947638.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AU - Praks, Jaan

AU - Antropov, Oleg

AU - Noorma, Mart

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N2 - This work investigates applicability of spaceborne repeat-pass interferometric SAR images for detecting mowing events on agricultural fields. Four pairs of one-day repeat-pass COSMO-SkyMed acquisitions were analysed and compared to in situ measurements of 11 agricultural grasslands to study the potential of X-band temporal interferometric coherence for detecting mowing events. Field works covered 11 test plots in Central Estonia with varying species composition and homogeneity. Temporal decorrelation due to changes in the grass height and wet biomass was analysed. A nonlinear relationship was observed between the wet biomass and temporal coherence, as well as between the grass height and the temporal coherence. Our results show that one-day temporal coherence decreases as the grass height and the wet biomass increases, until reaching a noise level at 25 cm and 400 g, respectively. The current study shows that detecting mowing event from multitemporal interferometric SAR images is a feasible technique and could be used for monitoring applications on the European level.

AB - This work investigates applicability of spaceborne repeat-pass interferometric SAR images for detecting mowing events on agricultural fields. Four pairs of one-day repeat-pass COSMO-SkyMed acquisitions were analysed and compared to in situ measurements of 11 agricultural grasslands to study the potential of X-band temporal interferometric coherence for detecting mowing events. Field works covered 11 test plots in Central Estonia with varying species composition and homogeneity. Temporal decorrelation due to changes in the grass height and wet biomass was analysed. A nonlinear relationship was observed between the wet biomass and temporal coherence, as well as between the grass height and the temporal coherence. Our results show that one-day temporal coherence decreases as the grass height and the wet biomass increases, until reaching a noise level at 25 cm and 400 g, respectively. The current study shows that detecting mowing event from multitemporal interferometric SAR images is a feasible technique and could be used for monitoring applications on the European level.

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Zalite K, Voormansik K, Praks J, Antropov O, Noorma M. Towards detecting mowing of agricultural grasslands from multi-temporal COSMO-SkyMed data. In International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc. 2014. p. 5076-5079. 6947638 https://doi.org/10.1109/IGARSS.2014.6947638