Spectal variation of vegetative areas in leaf-off season observed by hyperspectral data

Material type: 文書・図像類

Author: Lee, Kyu-Sungほか

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Publication date: 2005-01-01

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Note (General)：: Inha UniversityAgency for Defense DevelopmentDue to the phenological variation of vegetation growth in temperate region, it is often difficult to accu...

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Material Type: 文書・図像類
Title: Spectal variation of vegetative areas in leaf-off season observed by hyperspectral data
Author/Editor: Lee, Kyu-Sung
Kim, Sun-Hwa
Ma, Jeong-Rim
Kook, Min-Jung
Inha, Jung-Il Shin
Eo, Yang-Dam
Lee, Yong-Woong
Author Heading: Lee, Kyu-Sung
Kim, Sun-Hwa
Ma, Jeong-Rim
Kook, Min-Jung
Inha, Jung-Il Shin
Eo, Yang-Dam
Lee, Yong-Woong
Publication Date: 2005-01-01
Publication Date (W3CDTF): 2005-01-01
Alternative Title: 5.IEEE-IGARSS in Seoul, Korea
Periodical title: Environmental Monitoring In East Asia ; Remote Sensing and Forests
Pages: 71-74
Text Language Code: eng
Subject Heading: Crop residue
Dry vegetation
Hyperspectral sensing
Spectral reflectance
Spectroradiometer
Target Audience: 一般
Note (General): Inha University
Agency for Defense Development
Due to the phenological variation of vegetation growth in temperate region, it is often difficult to accurately assess the surface conditions on agricultural croplands, grasslands, and disturbed forests by current multi-spectral remote sensor data. In particular, the spectral similarity between soil and dry vegetation has been primary concern to correctly appraise the surface conditions during the non-growing seasons in temperature region. This study analyzes the spectral characteristics of the mixture of dry vegetation and soil. The reflectance spectra were obtained from laboratory spectroradiometer measurement and from EO-1 Hyperion image data. The reflectance spectra of several samples having different level of dry vegetation fractions show similar pattern from both lab measurement and hyperspectral image. Shortwave IR wavelengths, in particular at wavelength near 2200nm, are more sensitive to the fraction of dry vegetation. The reflectance spectra of bare soil could be distinguished from the other surfaces covered by dry vegetation during the leaf-off season. © 2005 IEEE.
Project Number 14404021, Peport of Research Project ; Grant-in-Aid for Scientific Research(B)(2), from April 2002 to March 2006, Edited by Muramoto,Ken-ichiro
Kamata, Naoto
Kawanishi, Takuya
Kubo, Mamoru
Liu, Jiyuan
Lee, Kyu-Sung , 人工衛星データ活用のための東アジアの植生調査、課題番号14404021, 平成14年度～平成17年度科学研究費補助金, 基盤研究（B)(2)研究成果報告書, 研究代表者：村本, 健一郎, 金沢大学自然科学研究科教授
identifier:International Geoscience and Remote Sensing Symposium (IGARSS) 6, art. no. 1525881, pp. 4347-4350
Source: https://kanazawa-u.repo.nii.ac.jp/?action=repository_action_common_download&item_id=35152&item_no=1&attribute_id=26&file_no=1
https://kanazawa-u.repo.nii.ac.jp/?action=repository_action_common_download&item_id=35152&item_no=1&attribute_id=26&file_no=1
Access Restrictions: 限定公開
Rights (production): Institute of Electrical and Electronics Engineers (IEEE)
Related Material: http://dx.doi.org/10.1109/IGARSS.2005.1525881
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 金沢大学 : 金沢大学学術情報リポジトリKURA