Stress Detection in New Zealand Kauri Canopies with WorldView-2 Satellite and LiDAR Data
New Zealand kauri trees are threatened by the kauri dieback disease (<i>Phytophthora agathidicida</i> (PA)). In this study, we investigate the use of pan-sharpened WorldView-2 (WV2) satellite and Light Detection and Ranging (LiDAR) data for detecting stress symptoms in the canopy of kaur...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/12/1906 |
| _version_ | 1797565477252235264 |
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| author | Jane J. Meiforth Henning Buddenbaum Joachim Hill James D. Shepherd John R. Dymond |
| author_facet | Jane J. Meiforth Henning Buddenbaum Joachim Hill James D. Shepherd John R. Dymond |
| author_sort | Jane J. Meiforth |
| collection | DOAJ |
| description | New Zealand kauri trees are threatened by the kauri dieback disease (<i>Phytophthora agathidicida</i> (PA)). In this study, we investigate the use of pan-sharpened WorldView-2 (WV2) satellite and Light Detection and Ranging (LiDAR) data for detecting stress symptoms in the canopy of kauri trees. A total of 1089 reference crowns were located in the Waitakere Ranges west of Auckland and assessed by fieldwork and the interpretation of aerial images. Canopy stress symptoms were graded based on five basic stress levels and further refined for the first symptom stages. The crown polygons were manually edited on a LiDAR crown height model. Crowns with a mean diameter smaller than 4 m caused most outliers with the 1.8 m pixel size of the WV2 multispectral bands, especially at the more advanced stress levels of dying and dead trees. The exclusion of crowns with a diameter smaller than 4 m increased the correlation in an object-based random forest regression from 0.85 to 0.89 with only WV2 attributes (root mean squared error (RMSE) of 0.48, mean absolute error (MAE) of 0.34). Additional LiDAR attributes increased the correlation to 0.92 (RMSE of 0.43, MAE of 0.31). A red/near-infrared (NIR) normalised difference vegetation index (NDVI) and a ratio of the red and green bands were the most important indices for an assessment of the full range of stress symptoms. For detection of the first stress symptoms, an NDVI on the red-edge and green bands increased the performance. This study is the first to analyse the use of spaceborne images for monitoring canopy stress symptoms in native New Zealand kauri forest. The method presented shows promising results for a cost-efficient stress monitoring of kauri crowns over large areas. It will be tested in a full processing chain with automatic kauri identification and crown segmentation. |
| first_indexed | 2024-03-10T19:13:44Z |
| format | Article |
| id | doaj.art-1e4777362c91406c813b6ebb2dc19612 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T19:13:44Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-1e4777362c91406c813b6ebb2dc196122023-11-20T03:35:35ZengMDPI AGRemote Sensing2072-42922020-06-011212190610.3390/rs12121906Stress Detection in New Zealand Kauri Canopies with WorldView-2 Satellite and LiDAR DataJane J. Meiforth0Henning Buddenbaum1Joachim Hill2James D. Shepherd3John R. Dymond4Environmental Remote Sensing and Geoinformatics, Trier University, D-54296 Trier, GermanyEnvironmental Remote Sensing and Geoinformatics, Trier University, D-54296 Trier, GermanyEnvironmental Remote Sensing and Geoinformatics, Trier University, D-54296 Trier, GermanyManaaki Whenua-Landcare Research, Palmerston North 4472, New ZealandManaaki Whenua-Landcare Research, Palmerston North 4472, New ZealandNew Zealand kauri trees are threatened by the kauri dieback disease (<i>Phytophthora agathidicida</i> (PA)). In this study, we investigate the use of pan-sharpened WorldView-2 (WV2) satellite and Light Detection and Ranging (LiDAR) data for detecting stress symptoms in the canopy of kauri trees. A total of 1089 reference crowns were located in the Waitakere Ranges west of Auckland and assessed by fieldwork and the interpretation of aerial images. Canopy stress symptoms were graded based on five basic stress levels and further refined for the first symptom stages. The crown polygons were manually edited on a LiDAR crown height model. Crowns with a mean diameter smaller than 4 m caused most outliers with the 1.8 m pixel size of the WV2 multispectral bands, especially at the more advanced stress levels of dying and dead trees. The exclusion of crowns with a diameter smaller than 4 m increased the correlation in an object-based random forest regression from 0.85 to 0.89 with only WV2 attributes (root mean squared error (RMSE) of 0.48, mean absolute error (MAE) of 0.34). Additional LiDAR attributes increased the correlation to 0.92 (RMSE of 0.43, MAE of 0.31). A red/near-infrared (NIR) normalised difference vegetation index (NDVI) and a ratio of the red and green bands were the most important indices for an assessment of the full range of stress symptoms. For detection of the first stress symptoms, an NDVI on the red-edge and green bands increased the performance. This study is the first to analyse the use of spaceborne images for monitoring canopy stress symptoms in native New Zealand kauri forest. The method presented shows promising results for a cost-efficient stress monitoring of kauri crowns over large areas. It will be tested in a full processing chain with automatic kauri identification and crown segmentation.https://www.mdpi.com/2072-4292/12/12/1906WorldView-2kauri<i>Agathis australis</i>stress detectionforest healthPA |
| spellingShingle | Jane J. Meiforth Henning Buddenbaum Joachim Hill James D. Shepherd John R. Dymond Stress Detection in New Zealand Kauri Canopies with WorldView-2 Satellite and LiDAR Data Remote Sensing WorldView-2 kauri <i>Agathis australis</i> stress detection forest health PA |
| title | Stress Detection in New Zealand Kauri Canopies with WorldView-2 Satellite and LiDAR Data |
| title_full | Stress Detection in New Zealand Kauri Canopies with WorldView-2 Satellite and LiDAR Data |
| title_fullStr | Stress Detection in New Zealand Kauri Canopies with WorldView-2 Satellite and LiDAR Data |
| title_full_unstemmed | Stress Detection in New Zealand Kauri Canopies with WorldView-2 Satellite and LiDAR Data |
| title_short | Stress Detection in New Zealand Kauri Canopies with WorldView-2 Satellite and LiDAR Data |
| title_sort | stress detection in new zealand kauri canopies with worldview 2 satellite and lidar data |
| topic | WorldView-2 kauri <i>Agathis australis</i> stress detection forest health PA |
| url | https://www.mdpi.com/2072-4292/12/12/1906 |
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