摘要
洪涝灾害是影响水稻生产的重要逆境因子。利用多时相HJ卫星影像数据评估了2012年辽宁洪涝灾害对水稻的影响。类似于土壤线,首先基于洪涝浑浊水体像元建立了水体线WL(NIR=0.693 1RED+0.022 7),并以此定义水体浑浊指数WTI和垂直植被指数PVI来分别监测洪涝水体的泥沙含量和水稻作物产量,对PVI与地面实测产量数据进行了相关分析,建立了灾后水稻产量与PVI的线性回归方程Yield=50 279PVI-2 804.1。研究结果表明,泥沙含量越高,水稻受灾越严重,产量越低。WTI可用于监测洪水泥沙含量,PVI则与水稻产量具有极显著的相关关系(R2=0.965),洪涝灾害对水稻的影响不仅可以从水稻收获前的遥感影像进行估测,更能够在洪涝灾害发生后及时进行估测,对洪涝灾后的水稻实际生产具有一定的指导意义。
Flood disaster is an important influence factor of rice production. Effects of the 2012 Liaoning flood disaster on rice are evaluated by using muhi-temporal HJ satellite image data. A water line （ WL）, analogous to soil line, is established by flood turbid water pixels as NIR =0. 6931RED ＋0. 0227, then water turbidity index （WTI） and perpendicular vegetation index （PVI） are defined based on WL to monitor the flood sediment content and rice crop yield respectively. Correlation between PVI and field yield data is analyzed, and the linear regression equation is Yield = 50 279PVI -2804. 1. Results show that, the higher the sediment content is, the more seriously afflicted of rice, and the lower the yield is. WTI could be used to monitor the flood sediment content, and PVI showed a highly significant correlation with rice yield as well, the effects of flood disaster on rice could be estimated not only from remote sensing images by PVI before rice harvest, but also be done after the flood disaster by WTI immediately, which has certain guiding significance for the actual production of rice after flood disaster.
出处
《灾害学》
CSCD
北大核心
2014年第2期188-192,共5页
Journal of Catastrophology
基金
国家自然科学青年基金项目(41001199)
国家科技支撑项目(2012BAH29B01)
公益性行业(农业)科技专项(2013031098)
北京市农林科学院科技创新能力建设专项(KJCX201104012)
关键词
水稻
洪涝
水体浑浊指数
垂直植被指数
产量估测
rice
flood
water turbidity index
perpendicular vegetation index
yield estimation
