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Tracking the dynamics of paddy rice planting area in 1986-2010 through time series Landsat images and phenology-based algorithms
文献类型：SCI/SSCI论文
| 作者 | Dong J. W.; Xiao, X. M.; Kou, W. L.; Qin, Y. W.; Zhang, G. L.; Li, L.; Jin, C.; Zhou, Y. T.; Wang, J.; Biradar, C. |
| 发表日期 | 2015 |
| 关键词 | Paddy rice Landsat-RICE Phenology Land use change Northeast China evergreen needleleaf forest multitemporal modis images gross primary production cloud shadow detection central great-plains northeast china sanjiang plain cover change surface reflectance vegetation indexes |
| 英文摘要 | Agricultural land use change substantially affects climate, water, ecosystems, biodiversity, and human welfare. In recent decades, due to increasing population and food demand and the backdrop of global warming, croplands have been expanding into higher latitude regions. One such hotspot is paddy rice expansion in northeast China. However, there are no maps available for documenting the spatial and temporal patterns of continuous paddy rice expansion. In this study, we developed an automated, Landsat-based paddy rice mapping (Landsat-RICE) system that uses time series Landsat images and a phenology-based algorithm based on the unique spectral characteristics of paddy rice during the flooding/transplanting phase. As a pilot study, we analyzed all the available Landsat images from 1986 to 2010 (498 scenes) in one tile (path/row 113/27) of northeast China, which tracked paddy rice expansion in epochs with five-year increments (1986-1990, 1991-1995, 1996-2000, 2001-2005, and 2006-2010). Several maps of land cover types (barren land and built-up land; evergreen, deciduous and sparse vegetation types; and water-related land cover types such as permanent water body, mixed pixels of water and vegetation, spring flooded wetlands and summer flooded land) were generated as masks. Air temperature was used to define phenology timing and crop calendar, which were then used to select Landsat images in the phenology-based algorithms for paddy rice and masks. The resultant maps of paddy rice in the five epochs were evaluated using validation samples from multiple sources, and the overall accuracies and Kappa coefficients ranged from 84 to 95% and 0.6-0.9, respectively. The paddy rice area in the study area substantially increased from 1986 to 2010, particularly after the 1990s. This study demonstrates the potential of the Landsat-RICE system and time series Landsat images for tracking agricultural land use changes at 30-m resolution in the temperate zone with single crop cultivation. (C) 2015 Elsevier Inc. All rights reserved. |
| 出处 | Remote Sensing of Environment |
| 卷 | 160 |
| 页 | 99-113 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0034-4257 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/38593]  |
| 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 | Dong J. W.,Xiao, X. M.,Kou, W. L.,et al. Tracking the dynamics of paddy rice planting area in 1986-2010 through time series Landsat images and phenology-based algorithms. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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