Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs9070682 |
Reconstructing Historical Land Cover Type and Complexity by Synergistic Use of Landsat Multispectral Scanner and CORONA | |
Shahtahmassebi, Amir Reza1; Lin, Yue1; Lin, Lin1; Atkinson, Peter M.2; Moore, Nathan3; Wang, Ke1; He, Shan1; Huang, Lingyan1; Wu, Jiexia4; Shen, Zhangquan1; Gan, Muye1; Zheng, Xinyu1; Su, Yue1; Teng, Hongfen1; Li, Xiaoyan5; Deng, Jinsong1; Sun, Yuanyuan1; Zhao, Mengzhu1 | |
通讯作者 | Shahtahmassebi, Amir Reza ; Wang, Ke |
来源期刊 | REMOTE SENSING |
ISSN | 2072-4292 |
出版年 | 2017 |
卷号 | 9期号:7 |
英文摘要 | Survey data describing land cover information such as type and diversity over several decades are scarce. Therefore, our capacity to reconstruct historical land cover using field data and archived remotely sensed data over large areas and long periods of time is somewhat limited. This study explores the relationship between CORONA texture-a surrogate for actual land cover type and complexity-with spectral vegetation indices and texture variables derived from Landsat MSS under the Spectral Variation Hypothesis (SVH) such as to reconstruct historical continuous land cover type and complexity. Image texture of CORONA was calculated using a mean occurrence measure while image textures of Landsat MSS were calculated by occurrence and co-occurrence measures. The relationship between these variables was evaluated using correlation and regression techniques. The reconstruction procedure was undertaken through regression kriging. The results showed that, as expected, texture based on the visible bands and corresponding indices indicated larger correlation with CORONA texture, a surrogate of land cover (correlation > 0.65). In terms of prediction, the combination of the first-order mean of band green, second-order measure of tasseled cap brightness, second-order mean of Normalized Visible Index (NVI) and second-order entropy of NIR yielded the best model with respect to Akaike’s Information Criterion (AIC), r-square, and variance inflation factors (VIF). The regression model was then used in regression kriging to map historical continuous land cover. The resultant maps indicated the type and degree of complexity in land cover. Moreover, the proposed methodology minimized the impacts of topographic shadow in the region. The performance of this approach was compared with two conventional classification methods: hard classifiers and continuous classifiers. In contrast to conventional techniques, the technique could clearly quantify land cover complexity and type. Future applications of CORONA datasets such as this one could include: improved quality of CORONA imagery, studies of the CORONA texture measures for extracting ecological parameters (e.g., species distributions), change detection and super resolution mapping using CORONA and Landsat MSS. |
英文关键词 | historical land cover CORONA Landsat MSS land cover type land cover complexity spectral variation hypothesis (SVH) image texture regression kriging |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; England ; USA |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000406676800045 |
WOS关键词 | SATELLITE IMAGE TEXTURE ; AERIAL-PHOTOGRAPHY ; FOREST COVER ; RESOLUTION ; DIVERSITY ; INTERPOLATION ; BIODIVERSITY ; PATTERNS ; DESERT ; CHINA |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/201954 |
作者单位 | 1.Zhejiang Univ, Coll Environm & Nat Resource, Inst Agr Remote Sensing & Informat Technol, Hangzhou 310058, Zhejiang, Peoples R China; 2.Univ Lancaster, Fac Sci & Technol, Lancaster LA1 4YQ, England; 3.Michigan State Univ, Dept Geog, E Lansing, MI 48823 USA; 4.George Mason Univ, Dept Atmospher Ocean & Earth Sci, Fairfax, VA 22030 USA; 5.Jilin Univ, Dept Earth Sci, Changchun 130061, Jilin, Peoples R China |
推荐引用方式 GB/T 7714 | Shahtahmassebi, Amir Reza,Lin, Yue,Lin, Lin,et al. Reconstructing Historical Land Cover Type and Complexity by Synergistic Use of Landsat Multispectral Scanner and CORONA[J],2017,9(7). |
APA | Shahtahmassebi, Amir Reza.,Lin, Yue.,Lin, Lin.,Atkinson, Peter M..,Moore, Nathan.,...&Zhao, Mengzhu.(2017).Reconstructing Historical Land Cover Type and Complexity by Synergistic Use of Landsat Multispectral Scanner and CORONA.REMOTE SENSING,9(7). |
MLA | Shahtahmassebi, Amir Reza,et al."Reconstructing Historical Land Cover Type and Complexity by Synergistic Use of Landsat Multispectral Scanner and CORONA".REMOTE SENSING 9.7(2017). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。