Understanding the long-term development of an irrigation network using a sinuosity-based automatic classification of waterways

buir.contributor.authorMassa, Michele
buir.contributor.orcidMassa, Michele|0000-0003-4992-9016
dc.citation.epage43
dc.citation.issueNumber1
dc.citation.spage29
dc.citation.volumeNumber35
dc.contributor.authorBoon, Maddy
dc.contributor.authorMotta, Davide
dc.contributor.authorMassa, Michele
dc.contributor.authorWainwright, John
dc.contributor.authorLawrence, Dan
dc.contributor.authorAyala, Gianna
dc.date.accessioned2025-02-20T08:29:38Z
dc.date.available2025-02-20T08:29:38Z
dc.date.issued2024-10-17
dc.departmentDepartment of Archaeology
dc.description.abstractThis study investigates the use of planform sinuosity as a metric to produce an automatic classification of waterways in the pre-modern and present-day irrigation networks in the Konya Plain in south-central Türkiye. Results show that such automatic classification may replace a time-consuming manual classification or provide a preliminary classification for subsequent manual refinement, depending on the number of classification categories used, the distribution of sinuosity across the network, and the degree of human modification. They also show that sinuosity thresholds for classification are area- and time-specific. Sinuosity is then used to quantify and interpret network changes in planform alignment and expansion and to identify long-term trends and areas of landscape modification. Results reveal a general pattern of decreasing sinuosity over time in the Konya Plain, indicating a continual human intervention, with areas where the present-day network was built upon the old Ottoman system. The methods presented in this investigation may be applicable to other studies of irrigation-network evolution and impact on landscape and can be used in conjunction with archeological and historical analysis.
dc.description.provenanceSubmitted by İlknur Sarıkaya (ilknur.sarikaya@bilkent.edu.tr) on 2025-02-20T08:29:38Z No. of bitstreams: 1 Understanding_the_long-term_development_of_an_irrigation_network_using_a_sinuosity-based_automatic_classification_of_waterways.pdf: 5849347 bytes, checksum: a2c0b38abc5b1dddbb8892df0a2aeb21 (MD5)en
dc.description.provenanceMade available in DSpace on 2025-02-20T08:29:38Z (GMT). No. of bitstreams: 1 Understanding_the_long-term_development_of_an_irrigation_network_using_a_sinuosity-based_automatic_classification_of_waterways.pdf: 5849347 bytes, checksum: a2c0b38abc5b1dddbb8892df0a2aeb21 (MD5) Previous issue date: 2025-01en
dc.identifier.doi10.1177/09596836241285795
dc.identifier.eissn1477-0911
dc.identifier.issn0959-6836
dc.identifier.urihttps://hdl.handle.net/11693/116481
dc.language.isoEnglish
dc.publisherSage Publications Ltd.
dc.relation.isversionofhttps://doi.org/10.1177/09596836241285795
dc.rightsCC BY 4.0 DEED (Attribution 4.0 International)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.source.titleThe Holocene
dc.subjectClassification
dc.subjectIrrigation network
dc.subjectLong-term development
dc.subjectSinuosity
dc.subjectWaterway
dc.titleUnderstanding the long-term development of an irrigation network using a sinuosity-based automatic classification of waterways
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Understanding_the_long-term_development_of_an_irrigation_network_using_a_sinuosity-based_automatic_classification_of_waterways.pdf
Size:
5.58 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: