Application of Haralick’s Texture Features for Rapid Detection of Windthrow Hotspots in Orthophotos
Windthrow and storm damage are crucial issues in practical forestry. We propose a method for rapid detection of windthrow hotspots in airborne digital orthophotos. Therefore, we apply Haralick’s texture features on 50 × 50 m cells of the orthophotos and classify the cells with a random forest algori...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-07-01
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| Series: | Forests |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4907/11/7/763 |
| _version_ | 1797562315416010752 |
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| author | Hans-Joachim Klemmt Rudolf Seitz Christoph Straub |
| author_facet | Hans-Joachim Klemmt Rudolf Seitz Christoph Straub |
| author_sort | Hans-Joachim Klemmt |
| collection | DOAJ |
| description | Windthrow and storm damage are crucial issues in practical forestry. We propose a method for rapid detection of windthrow hotspots in airborne digital orthophotos. Therefore, we apply Haralick’s texture features on 50 × 50 m cells of the orthophotos and classify the cells with a random forest algorithm. We apply the classification results from a training data set on a validation set. The overall classification accuracy of the proposed method varies between 76% for fine distinction of the cells and 96% for a distinction level that tried to detect only severe damaged cells. The proposed method enables the rapid detection of windthrow hotspots in forests immediately after their occurrence in single-date data. It is not adequate for the determination of areas with only single fallen trees. Future research will investigate the possibilities and limitations when applying the method on other data sources (e.g., optical satellite data). |
| first_indexed | 2024-03-10T18:26:31Z |
| format | Article |
| id | doaj.art-38bf649f33554bc8af77345ae09787c5 |
| institution | Directory Open Access Journal |
| issn | 1999-4907 |
| language | English |
| last_indexed | 2024-03-10T18:26:31Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Forests |
| spelling | doaj.art-38bf649f33554bc8af77345ae09787c52023-11-20T06:57:03ZengMDPI AGForests1999-49072020-07-0111776310.3390/f11070763Application of Haralick’s Texture Features for Rapid Detection of Windthrow Hotspots in OrthophotosHans-Joachim Klemmt0Rudolf Seitz1Christoph Straub2Bavarian Institute of Forestry (LWF), Division “Climate and Soil”, Hans-Carl-von-Carlowitz-Platz 1, D-85354 Freising, GermanyBavarian Institute of Forestry (LWF), Division “Information Technologies and Remote Sensing”, Hans-Carl-von-Carlowitz-Platz 1, 85354 Freising, GermanyBavarian Institute of Forestry (LWF), Division “Information Technologies and Remote Sensing”, Hans-Carl-von-Carlowitz-Platz 1, 85354 Freising, GermanyWindthrow and storm damage are crucial issues in practical forestry. We propose a method for rapid detection of windthrow hotspots in airborne digital orthophotos. Therefore, we apply Haralick’s texture features on 50 × 50 m cells of the orthophotos and classify the cells with a random forest algorithm. We apply the classification results from a training data set on a validation set. The overall classification accuracy of the proposed method varies between 76% for fine distinction of the cells and 96% for a distinction level that tried to detect only severe damaged cells. The proposed method enables the rapid detection of windthrow hotspots in forests immediately after their occurrence in single-date data. It is not adequate for the determination of areas with only single fallen trees. Future research will investigate the possibilities and limitations when applying the method on other data sources (e.g., optical satellite data).https://www.mdpi.com/1999-4907/11/7/763aerial imageairborne orthophotoHaralickstorm damagetexture featurewindthrow |
| spellingShingle | Hans-Joachim Klemmt Rudolf Seitz Christoph Straub Application of Haralick’s Texture Features for Rapid Detection of Windthrow Hotspots in Orthophotos Forests aerial image airborne orthophoto Haralick storm damage texture feature windthrow |
| title | Application of Haralick’s Texture Features for Rapid Detection of Windthrow Hotspots in Orthophotos |
| title_full | Application of Haralick’s Texture Features for Rapid Detection of Windthrow Hotspots in Orthophotos |
| title_fullStr | Application of Haralick’s Texture Features for Rapid Detection of Windthrow Hotspots in Orthophotos |
| title_full_unstemmed | Application of Haralick’s Texture Features for Rapid Detection of Windthrow Hotspots in Orthophotos |
| title_short | Application of Haralick’s Texture Features for Rapid Detection of Windthrow Hotspots in Orthophotos |
| title_sort | application of haralick s texture features for rapid detection of windthrow hotspots in orthophotos |
| topic | aerial image airborne orthophoto Haralick storm damage texture feature windthrow |
| url | https://www.mdpi.com/1999-4907/11/7/763 |
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