EVALUATION OF TREE SPECIES CLASSIFICATION METHODS USING MULTI-TEMPORAL SATELLITE IMAGES
Tree species classification is an important step towards forest monitoring and biodiversity conservation. This research study evaluates several multispectral image classification techniques for tree species over Ahwa village in Dang district, South Gujarat, India. Multispectral images consisting of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-11-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/79/2020/isprs-archives-XLII-3-W12-2020-79-2020.pdf |
| _version_ | 1819055068878471168 |
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| author | A. Saha S. Sastry V. A. Dave R. Ghosh |
| author_facet | A. Saha S. Sastry V. A. Dave R. Ghosh |
| author_sort | A. Saha |
| collection | DOAJ |
| description | Tree species classification is an important step towards forest monitoring and biodiversity conservation. This research study evaluates several multispectral image classification techniques for tree species over Ahwa village in Dang district, South Gujarat, India. Multispectral images consisting of 4 bands-R, G, B and NIR collected over 4 months was used. Object-based segmentation using mean shift, cluster-based using K-Means and Gaussian Mixture Model (GMM) and pixel-based methods have been analyzed. Additionally, a new method of classification has been described using the Dynamic Time Warping (DTW) algorithm. It outperformed supervised classification techniques with accuracy over 95%. The GMM+DTW model accurately reflected the actual species distribution found in the ground truth. |
| first_indexed | 2024-12-21T13:01:39Z |
| format | Article |
| id | doaj.art-3e3cb761bfae4153be0f78f949791722 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-21T13:01:39Z |
| publishDate | 2020-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-3e3cb761bfae4153be0f78f9497917222022-12-21T19:03:09ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-11-01XLII-3-W12-2020798210.5194/isprs-archives-XLII-3-W12-2020-79-2020EVALUATION OF TREE SPECIES CLASSIFICATION METHODS USING MULTI-TEMPORAL SATELLITE IMAGESA. Saha0S. Sastry1V. A. Dave2R. Ghosh3Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, IndiaDhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, IndiaDhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, IndiaDhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, IndiaTree species classification is an important step towards forest monitoring and biodiversity conservation. This research study evaluates several multispectral image classification techniques for tree species over Ahwa village in Dang district, South Gujarat, India. Multispectral images consisting of 4 bands-R, G, B and NIR collected over 4 months was used. Object-based segmentation using mean shift, cluster-based using K-Means and Gaussian Mixture Model (GMM) and pixel-based methods have been analyzed. Additionally, a new method of classification has been described using the Dynamic Time Warping (DTW) algorithm. It outperformed supervised classification techniques with accuracy over 95%. The GMM+DTW model accurately reflected the actual species distribution found in the ground truth.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/79/2020/isprs-archives-XLII-3-W12-2020-79-2020.pdf |
| spellingShingle | A. Saha S. Sastry V. A. Dave R. Ghosh EVALUATION OF TREE SPECIES CLASSIFICATION METHODS USING MULTI-TEMPORAL SATELLITE IMAGES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | EVALUATION OF TREE SPECIES CLASSIFICATION METHODS USING MULTI-TEMPORAL SATELLITE IMAGES |
| title_full | EVALUATION OF TREE SPECIES CLASSIFICATION METHODS USING MULTI-TEMPORAL SATELLITE IMAGES |
| title_fullStr | EVALUATION OF TREE SPECIES CLASSIFICATION METHODS USING MULTI-TEMPORAL SATELLITE IMAGES |
| title_full_unstemmed | EVALUATION OF TREE SPECIES CLASSIFICATION METHODS USING MULTI-TEMPORAL SATELLITE IMAGES |
| title_short | EVALUATION OF TREE SPECIES CLASSIFICATION METHODS USING MULTI-TEMPORAL SATELLITE IMAGES |
| title_sort | evaluation of tree species classification methods using multi temporal satellite images |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/79/2020/isprs-archives-XLII-3-W12-2020-79-2020.pdf |
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