Backscatter analysis using multi-temporal Sentinel-1 SAR data for Crop growth of Maize in Konya Basin, Turkey

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. © Authors 2018.

Yazar Abdikan S.
Sekertekin A.
Ustunern M.
Balik Sanli F.
Nasirzadehdizaji R.
Yayın Türü Conference Object
Tek Biçim Adres https://hdl.handle.net/20.500.12628/4465
Tek Biçim Adres 10.5194/isprs-archives-XLII-3-9-2018
Konu Başlıkları Backscatter
Crop growth monitoring
Land use
Maize
SAR
Sentinel-1
Koleksiyonlar Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed | SOBİAD
Scopus İndeksli Yayınlar Koleksiyonu
Dergi Adı International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Dergi Cilt Bilgisi 42
Dergi Sayısı 3
Sayfalar 9 - 13
Yayın Yılı 2018
Eser Adı
[dc.title]
Backscatter analysis using multi-temporal Sentinel-1 SAR data for Crop growth of Maize in Konya Basin, Turkey
Yayıncı
[dc.publisher]
International Society for Photogrammetry and Remote Sensing
Yayın Türü
[dc.type]
conferenceObject
Açıklama
[dc.description]
2018 ISPRS TC III Mid-Term Symposium on Developments, Technologies and Applications in Remote Sensing -- 7 May 2018 through 10 May 2018 -- -- 136130
Özet
[dc.description.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. © Authors 2018.
Kayıt Giriş Tarihi
[dc.date.accessioned]
2019-12-23
Açık Erişim Tarihi
[dc.date.available]
2019-12-23
Yayın Yılı
[dc.date.issued]
2018
Tek Biçim Adres
[dc.identifier.uri]
https://dx.doi.org/10.5194/isprs-archives-XLII-3-9-2018
Tek Biçim Adres
[dc.identifier.uri]
https://hdl.handle.net/20.500.12628/4465
Yayın Dili
[dc.language.iso]
eng
Konu Başlıkları
[dc.subject]
Backscatter
Konu Başlıkları
[dc.subject]
Crop growth monitoring
Konu Başlıkları
[dc.subject]
Land use
Konu Başlıkları
[dc.subject]
Maize
Konu Başlıkları
[dc.subject]
SAR
Konu Başlıkları
[dc.subject]
Sentinel-1
Yazar
[dc.contributor.author]
Abdikan S.
Yazar
[dc.contributor.author]
Sekertekin A.
Yazar
[dc.contributor.author]
Ustunern M.
Yazar
[dc.contributor.author]
Balik Sanli F.
Yazar
[dc.contributor.author]
Nasirzadehdizaji R.
Haklar
[dc.rights]
info:eu-repo/semantics/openAccess
ISSN
[dc.identifier.issn]
1682-1750
Yazar Departmanı
[dc.contributor.department]
Zonguldak Bülent Ecevit Üniversitesi
İlk Sayfa Sayısı
[dc.identifier.startpage]
9
Son Sayfa Sayısı
[dc.identifier.endpage]
13
Dergi Adı
[dc.relation.journal]
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Dergi Sayısı
[dc.identifier.issue]
3
Dergi Cilt Bilgisi
[dc.identifier.volume]
42
Görüntülenme Sayısı ( Şehir )
Görüntülenme Sayısı ( Ülke )
Görüntülenme Sayısı ( Zaman Dağılımı )
Görüntülenme
9
09.12.2022 tarihinden bu yana
İndirme
1
09.12.2022 tarihinden bu yana
Son Erişim Tarihi
17 Nisan 2024 11:05
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Tıklayınız
stages values Sentinel-1 monitoring measurements multi-temporal height analysed growth development indicated correlation polarimetry backscatter preliminary agriculture during potential analyses reliable Dual-polarized mapping Authors coefficient general flowering heading elongation classified applied created accuracies results segmentation following
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