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Article: Separation of dead tree crowns from the oak woodland forest mosaic by integrating spatial information

TitleSeparation of dead tree crowns from the oak woodland forest mosaic by integrating spatial information
Authors
KeywordsHardwood forest
Object size
Sudden
Region-based subtraction
Homogeneous object
High-resolution imagery
Remote sensing
Oak Death
NDVI
Issue Date2005
Citation
Geocarto International, 2005, v. 20, n. 2, p. 15-20 How to Cite?
AbstractA stratified method of separating dead tree crowns from the forest mosaic, especially bare soil, is proposed. Both spectral and spatial information extracted from 1 m high-resolution digital airborne imagery was used. First, spectrally homogeneous objects were recognized based on a Normalized Difference Vegetation Index (NDVI) image. From this image, large patches of bare soil and small patches of noise were excluded by object-size thresholding. Next, an incomplete bare soil image was generated from thresholding the red band using a histogram-based method. A region-based subtraction algorithm was developed and performed on the homogeneous object image and the bare soil image to remove most small patches of bare soil. Finally, medium-sized patches of bare soil were deleted using the assumption that bare soil areas are spatially much closer to larger, pure bare soil areas. The method proved to be effective. The classification accuracy of dead tree crowns was increased from 21% to 75%.
Persistent Identifierhttp://hdl.handle.net/10722/296595
ISSN
2023 Impact Factor: 3.3
2023 SCImago Journal Rankings: 0.675

 

DC FieldValueLanguage
dc.contributor.authorSun, Wanxiao-
dc.contributor.authorKelly, Maggi-
dc.contributor.authorGong, Peng-
dc.date.accessioned2021-02-25T15:16:14Z-
dc.date.available2021-02-25T15:16:14Z-
dc.date.issued2005-
dc.identifier.citationGeocarto International, 2005, v. 20, n. 2, p. 15-20-
dc.identifier.issn1010-6049-
dc.identifier.urihttp://hdl.handle.net/10722/296595-
dc.description.abstractA stratified method of separating dead tree crowns from the forest mosaic, especially bare soil, is proposed. Both spectral and spatial information extracted from 1 m high-resolution digital airborne imagery was used. First, spectrally homogeneous objects were recognized based on a Normalized Difference Vegetation Index (NDVI) image. From this image, large patches of bare soil and small patches of noise were excluded by object-size thresholding. Next, an incomplete bare soil image was generated from thresholding the red band using a histogram-based method. A region-based subtraction algorithm was developed and performed on the homogeneous object image and the bare soil image to remove most small patches of bare soil. Finally, medium-sized patches of bare soil were deleted using the assumption that bare soil areas are spatially much closer to larger, pure bare soil areas. The method proved to be effective. The classification accuracy of dead tree crowns was increased from 21% to 75%.-
dc.languageeng-
dc.relation.ispartofGeocarto International-
dc.subjectHardwood forest-
dc.subjectObject size-
dc.subjectSudden-
dc.subjectRegion-based subtraction-
dc.subjectHomogeneous object-
dc.subjectHigh-resolution imagery-
dc.subjectRemote sensing-
dc.subjectOak Death-
dc.subjectNDVI-
dc.titleSeparation of dead tree crowns from the oak woodland forest mosaic by integrating spatial information-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/10106040508542341-
dc.identifier.scopuseid_2-s2.0-33746592077-
dc.identifier.volume20-
dc.identifier.issue2-
dc.identifier.spage15-
dc.identifier.epage20-
dc.identifier.issnl1010-6049-

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