Extraction of rice-planting area and identification of chilling damage by remote sensing technology: a case study of the emerging rice production region in high latitude
Extraction of rice-planting area and identification of chilling damage by remote sensing technology: a case study of the emerging rice production region in high latitude
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DOI：
10.1007/s10333-016-0539-x
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发表时间：
2016
影响因子：
2.2
通讯作者：
Zhongyi Sun;Xiufeng Wang;Haruhiko Yamamoto;Jiquan Zhang;H. Tani;Guosheng Zhong;Shuai Yin
中科院分区：
文献类型：
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作者：
Zhongyi Sun;Xiufeng Wang;Haruhiko Yamamoto;Jiquan Zhang;H. Tani;Guosheng Zhong;Shuai Yin
水稻是世界第二大主粮作物，在粮食安全中发挥着重要作用。水稻是一种喜热作物，对温度变化很敏感。因此，对水稻的冷害进行研究是十分必要的。三江平原是一个新兴的水稻产区，位于世界上最大的水稻生产国中国的高纬度地区。利用Landsat数据提取1985 - 2015年的水稻种植面积。利用MODIS 13Q1在水稻生育期均匀分布的数据获取2002-2015年稻田NDVI值。本文提出了无菌型冷害动态识别指标和延迟型冷害监测标准，用以判断水稻的冷害程度。结果表明：研究区2015年水稻种植面积是1985年的近12倍；延迟型冷害发生在2002年和2009年，无菌型冷害发生在2005年、2006年、2009年、2010年、2014年和2015年。结果表明，本文提出的指标和标准与现行的气象标准相比，精度高、适用性强、灵敏度高。该方法是一种宏观、准确的水稻冷害鉴定方法，也可为保证水稻产量稳定提供科学依据。
Rice is the second largest staple crop in the world and therefore plays an important role in food security. As a thermophilic crop, rice is sensitive to temperature changes. Thus, research on the chilling damage of rice is essential. The Sanjiang Plain is an emerging rice production area and is located at high latitudes in China, the world’s largest rice-producing country. Landsat data were used to extract rice-planting area from 1985 to 2015. MODIS 13Q1, which was uniformly distributed during the growing period of rice, was used to obtain NDVI values of paddies during 2002–2015. Dynamic Identification Index of sterile-type chilling damage and monitoring standard of delayed-type chilling damage were the proposed methods used in this paper, which were used to judge the chilling damage of rice. The results show that in the study region, the rice-planting area in 2015 is nearly 12 times larger than that in 1985. Delayed-type chilling damage occurred in 2002 and 2009, while sterile-type chilling damage occurred in 2005, 2006, 2009, 2010, 2014, and 2015. Comparing with the prevalent meteorological standards, the results indicate that the index and standards proposed in this paper are precise, applicable, and more sensitive than them. The method is a macroscopic and accurate method to identify chilling damage in rice and can also provide a scientific basis to ensuring the stability of rice yield.