基于遥感沿海湿地植被生产力估算研究

植被净第一性生产力是评价地表植被状况的重要指标之一,对分析和评价全球以及区域生态环境、碳循环等变化具有重要作用.植被净第一生产力的研究方法很多,本文主要运用TM影像近红外和红光通道组成的标准化差植被指数（NDVI）,借助CASA模型机理以及气象学方法,建立盐城区域净第一性生产力（NPP）遥感估算模型,并以核心区-丹顶鹤自然保护区湿地为应用案例,分析了核心区2005年间8月份净第一性生产力的变化.分析结果表明,研究区8月份的湿地各种植被NPP分别为：人工芦苇和盐蒿为1184.863266 g/m2,芦苇为1083.435262g/m2,米草为822.766878g/m2.若以NPP为衡量标准,人工芦苇和盐蒿的净第一性生产力最高.

Study and Estimate of Wet Land Vegetation Based On Remote Sensing

Net primary productivity of vegetation is one of the important indices to evaluate the ground vegetation condition. It plays important role for analysis and evaluation on global and regional ecological environment and carbon circulation variation. There are many methods on research of vegetation net primary productivity. A remote sensing estimation model of the NPP was build based on NDVI of TM and CASA model in Yanhu direct and the red-crowned wetland nature reserve area was taken as an example. The changing of NPP was analyzed in core area in August 2005. The result show that the NPP of artificial reeds and salt warm wood was 1184. 863266g / m2, reeds was 1083.435262g / m2 and rice straw 822. 766878g / m2. Taking NPP as the judging criterion, the artificially reeds and salt warm wood had the maximum NPP .