التفاصيل البيبلوغرافية
| العنوان: |
Mapping diversified peri-urban agriculture – potential of object-based versus per-field land cover/land use classification |
| المؤلفون: |
Forster, Dionys, Kellenberger, Tobias Walter, Buehler, Yves, Lennartz, Bernd |
| بيانات النشر: |
Taylor & Francis |
| سنة النشر: |
2010 |
| مصطلحات موضوعية: |
field boundary, high-pass filter, high spatial resolution satellite data, object-oriented classification, per-field classification |
| الوصف: |
High spatial resolution satellite data contribute to improving land cover/land use (LCLU) classification in agriculture. A classification procedure based on Quickbird satellite image data was developed to map LCLU of diversified agriculture at sub-communal and communal level (7 km 2 ). Segmentation performance of the panchromatic band in combination with high pass filters (HPF) was tested first. Accuracy of field boundary delineation was evaluated by an object-based segmentation, a per-field and a manual classification, along with a quantitative accuracy assessment. Sub-communal classification revealed an overall accuracy of 84% with a κ coefficient of 0.77 for the per-field vector segmentation compared to an overall accuracy of 56–60% and a κ coefficient of 0.37–0.42 for object-based approaches. Per-field vector segmentation was thus superior and used for LCLU classification at communal level. Overall accuracy scored 83% and the κ coefficient 0.7. In diversified agriculture, per-field vector segmentation and classification achieved higher classification results. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| تدمد: |
1010-6049 |
| Relation: |
Geocarto International--Geocarto Int.--journals:4085--1010-6049--1752-0762; eawag:16275; journal id: journals:4085; e-issn: 1752-0762; ut: 000208630000002; scopus: 2-s2.0-77952604955 |
| DOI: |
10.1080/10106040903243416 |
| الاتاحة: |
https://doi.org/10.1080/10106040903243416 |
| رقم الانضمام: |
edsbas.4DA3226F |
| قاعدة البيانات: |
BASE |