Paper
8 November 2014 Winter wheat field transformation monitoring through remote sensing in Beijing suburb
Author Affiliations +
Proceedings Volume 9260, Land Surface Remote Sensing II; 92602L (2014) https://doi.org/10.1117/12.2068390
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China
Abstract
Winter wheat is one of the most important crops planted in Beijing suburb. In recent 20 years, winter wheat planted area decreased obviously in Beijing area owning to the urbanization process. This study focuses on the winter wheat planted area transformation monitoring of Beijing suburb from 1992 to 2009 through remote sensing technique. Multi-temporal Landsat- TM images are collected during the winter wheat growth season of 1992,2000 and 2009 and used to analyze the trend and characteristics of winter wheat field variation in Beijing suburb in recent two decades years. The PCA analysis and Tasseled Cap transform technique are adopted in this study for feature classification. The study result shows that the winter wheat planted area in 1992,2000 and 2009 in Beijing is 113671 ha,84322 ha and 61529 ha, respectively. It indicates that winter wheat planting area in Beijing has a significantly decreasing trend and the total reduced area is 52143 ha from 1992 to 2009. Winter wheat planted area is decreased by 29349 ha from 1992 to 2000. Most of reduced wheat fields are transformed into bare land or used for urban land accounting for 42.8% and 39.7%. Others wheat fields are used for greenhouse and water bodies (fish ponds and water fields), accounting for 13.3% and 3%. The winter wheat field decreased by 22794 ha from 2000 to 2009, more than 41.93% of wheat field is turned into bare land. Reduce field for greenhouse land and water bodies (ponds or water fields) are account for21.61% and 7.79%, respectively.
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Xiaoyu Song, Fangnin Cui, Xiaohe Gu, Xingang Xu, and Jihua Wang "Winter wheat field transformation monitoring through remote sensing in Beijing suburb", Proc. SPIE 9260, Land Surface Remote Sensing II, 92602L (8 November 2014); https://doi.org/10.1117/12.2068390
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KEYWORDS
Remote sensing

Earth observing sensors

Landsat

Agriculture

Atmospheric corrections

Principal component analysis

Vegetation

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