Sentinel-2 Based Temporal Detection of Agricultural Land Use Anomalies in Support of Common Agricultural Policy Monitoring

Autor: Urška Kanjir, Nataša Đurić, Tatjana Veljanovski

Publikováno v: ISPRS International Journal of Geo-Information, Vol 7, Iss 10, p 405 (2018)

The European Common Agricultural Policy (CAP) post-2020 timeframe reform will reshape the agriculture land use control procedures from a selected risk fields-based approach into an all-inclusive one. The reform fosters the use of Sentinel data with t

Externí odkaz: https://doaj.org/article/fddeff2537e441d2af79e63f288b596f

Sentinel-2 Based Temporal Detection of Agricultural Land Use Anomalies in Support of Common Agricultural Policy Monitoring

Autor: Nataša Đurić, Tatjana Veljanovski, Urška Kanjir

Publikováno v: ISPRS International Journal of Geo-Information
Volume 7
Issue 10
ISPRS International Journal of Geo-Information, Vol 7, Iss 10, p 405 (2018)

The European Common Agricultural Policy (CAP) post-2020 timeframe reform will reshape the agriculture land use control procedures from a selected risk fields-based approach into an all-inclusive one. The reform fosters the use of Sentinel data with t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c25cdcb016c12cc1e7c03b19275ac7ec

Application of In-Segment Multiple Sampling in Object-Based Classification

Autor: Krištof Oštir, Peter Pehani, Nataša Đurić

Publikováno v: Remote Sensing
Volume 6
Issue 12
Pages 12138-12165
Remote Sensing, Vol 6, Iss 12, Pp 12138-12165 (2014)

When object-based analysis is applied to very high-resolution imagery, pixels within the segments reveal large spectral inhomogeneity
their distribution can be considered complex rather than normal. When normality is violated, the classification

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e292a44a6e463d798e620231387076e8

Can segmentation evaluation metric be used as an indicator of land cover classification accuracy?

Autor: Nataša Đurić, Krištof Oštir, Klemen Ritlop, Klemen Čotar, Andreja Švab Lenarčič

Publikováno v: Journal of Applied Remote Sensing. 10:045010

It is a broadly established belief that the segmentation result significantly affects subsequent image classification accuracy. However, the actual correlation between the two has never been evaluated. Such an evaluation would be of considerable impo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::70015157f3a9a0d7afb900334e2dee65
https://doi.org/10.1117/1.jrs.10.045010