湿地植被演替变化的遥感监测,在一个前冷却湖四年减少期间

John R. Jensen, Xueqiao Huang, Halkard E. Mackey Jr.
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引用次数: 6

摘要

研究人员利用多季节、多年的卫星遥感数据监测和模拟了南卡罗来纳州萨凡纳河流域Par Pond湿地的演替变化,该变化是由淡水水库水位下降19英尺(约6米)引起的。通过对1992年3月14日至1994年10月25日7幅土地覆被图和10幅遥感数据变化探测图的分析,定量地记录了土地覆被演替的空间分布。拟合连续土地覆盖信息的多项式方程可用于预测自下降以来暴露地形上特定日期的穗木、老田和松木/硬木植被的百分比(和公顷)。©1997 John Wiley &儿子,Inc。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote sensing of successional changes in wetland vegetation as monitored during a four-year drawdown of a former cooling lake

Multiple-season and multiple-year satellite remote sensor data were used to monitor and model wetland successional changes in Par Pond on the Savannah River Site, South Carolina, caused by the 19-ft (approximately 6 m) drawdown of the freshwater reservoir's water. The analysis of seven land-cover maps from March 14, 1992 through October 25, 1994 and ten change-detection maps derived from the remote sensor data quantitatively documented the spatial distribution of the successional changes in land cover. Polynomial equations fit to the successional land cover information may be used to predict the percent (and hectares) of spikerush, old field, and pine/hardwood vegetation present on exposed terrain at specific dates since drawdown. © 1997 John Wiley & Sons, Inc.

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