Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.rse.2004.01.016 |
Land cover characterization of Temperate East Asia using multi-temporal VEGETATION sensor data | |
Boles, SH; Xiao, XM; Liu, JY; Zhang, QY; Munkhtuya, S; Chen, SQ; Ojima, D | |
通讯作者 | Boles, SH |
来源期刊 | REMOTE SENSING OF ENVIRONMENT |
ISSN | 0034-4257 |
EISSN | 1879-0704 |
出版年 | 2004 |
卷号 | 90期号:4页码:477-489 |
英文摘要 | Temperate East Asia (TEA) is characterized by diverse land cover types, including forest and agricultural lands, one of the world’s largest temperate grasslands, and extensive desert and barren landscapes. In this paper, we explored the potential of SPOT-4 VEGETATION (VGT) data for the classification of land cover types in TEA, An unsupervised classification was performed using multi-temporal (March-November 2000) VGT-derived spectral indices (Land Surface Water Index [LSWI] and Enhanced Vegetation Index [EVI]) to generate a land cover map of TEA (called VGT-TEA). Land cover classes from VGT-TEA were aggregated to broad, general class types, and then compared and validated with classifications derived from fine-resolution (Landsat) data. VGT-TEA produced reasonable results when compared to the Landsat products. Analysis of the seasonal dynamics of LSWI and EVI allows for the identification of distinct growth patterns between different vegetation types. We suggest that LSWI seasonal curves can be used to define the growing season for temperate deciduous vegetation, including grassland types. Seasonal curves of EVI tend to have a slightly greater dynamic range than LSWI during the peak growing season and can be useful in discriminating between vegetation types. By using these two complementary spectral indices, VGT data can be used to produce timely and detailed land cover and phenology maps with limited ancillary data needed. (C) 2004 Elsevier Inc. All rights reserved. |
英文关键词 | Temperate East Asia VEGETATION sensor data land cover |
类型 | Article |
语种 | 英语 |
国家 | USA ; Peoples R China ; Mongolia |
收录类别 | SCI-E |
WOS记录号 | WOS:000221309000007 |
WOS关键词 | REMOTE-SENSING DATA ; WATER-CONTENT ; SPECTRAL INDEX ; INNER-MONGOLIA ; GRASSLAND ; CARBON ; VALIDATION ; CHINA ; NDVI ; VARIABILITY |
WOS类目 | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
来源机构 | 中国科学院地理科学与资源研究所 ; Colorado State University |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/147968 |
作者单位 | (1)Univ New Hampshire, Inst Study Earth Oceans & Space, Durham, NH 03824 USA;(2)Chinese Acad Sci, Inst Geog Sci & Nat Resources, Beijing, Peoples R China;(3)Minist Nat & Environm, Natl Remote Sensing Ctr, Ulaanbaatar, Mongolia;(4)Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA |
推荐引用方式 GB/T 7714 | Boles, SH,Xiao, XM,Liu, JY,et al. Land cover characterization of Temperate East Asia using multi-temporal VEGETATION sensor data[J]. 中国科学院地理科学与资源研究所, Colorado State University,2004,90(4):477-489. |
APA | Boles, SH.,Xiao, XM.,Liu, JY.,Zhang, QY.,Munkhtuya, S.,...&Ojima, D.(2004).Land cover characterization of Temperate East Asia using multi-temporal VEGETATION sensor data.REMOTE SENSING OF ENVIRONMENT,90(4),477-489. |
MLA | Boles, SH,et al."Land cover characterization of Temperate East Asia using multi-temporal VEGETATION sensor data".REMOTE SENSING OF ENVIRONMENT 90.4(2004):477-489. |
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