Uncertainties in estimates of cropland area in China: a comparison between an AVHRR-derived dataset and a Landsat TM-derived dataset
文献类型：SCI/SSCI论文
| 作者 | Xiao X. M. ; Liu J. Y. ; Zhuang D. F. ; Frolking S. ; Boles S. ; Xu B. ; Liu M. L. ; Salas W. ; Moore B. ; Li C. S. |
| 发表日期 | 2003 |
| 关键词 | cropland area China Landsat TM AVHRR uncertainty cover characteristics database igbp discover census |
| 英文摘要 | The large uncertainties in estimates of cropland area in China may have significant implications for major cross-cutting themes of global environmental change-food production and trade, water resources, and the carbon and nitrogen cycles. Many earlier studies have indicated significant under-reporting of cropland area in China from official agricultural census statistics datasets. Space-borne remote sensing analyses provide an alternative and independent approach for estimating cropland area in China. In this study, we report estimates of cropland area from the National Land Cover Dataset (NLCD-96) at the 1:100,000 scale, which was generated by a multi-year National Land Cover Project in China through visual interpretation and digitization of Landsat TM images acquired mostly in 1995 and 1996. We compared the NLCD-96 dataset to another land cover dataset at I-km spatial resolution (the IGBP DIScover dataset version 2.0), which was generated from monthly Advanced Very High Resolution Radiometer (AVHRR)-derived Normalized Difference Vegetation Index (NDVI) from April, 1992 to March, 1993. The data comparison highlighted the limitation and uncertainty of cropland area estimates from the DIScover dataset. (C) 2003 Elsevier Science B.V. All rights reserved. |
| 出处 | Global and Planetary Change |
| 卷 | 37 |
| 期 | 3-4 |
| 页 | 297-306 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0921-8181 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/22743]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Xiao X. M.,Liu J. Y.,Zhuang D. F.,et al. Uncertainties in estimates of cropland area in China: a comparison between an AVHRR-derived dataset and a Landsat TM-derived dataset. 2003. |
入库方式： OAI收割
来源：地理科学与资源研究所
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