安徽农业科学2016,Issue(4) :80-82.

重庆市植被净初级生产力的遥感估算及分析

Remote Sensing Estimation and Analysis of Vegetation Net Primary Productivity in Chongqing City

简太敏
安徽农业科学2016,Issue(4) :80-82.

重庆市植被净初级生产力的遥感估算及分析

Remote Sensing Estimation and Analysis of Vegetation Net Primary Productivity in Chongqing City

简太敏1
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作者信息

  • 1. 宁夏师范学院,宁夏固原756099
  • 折叠

摘要

[目的]遥感估算和分析2007年重庆市植被净初级生产力(NPP).[方法]基于CASA模型,结合SPOT/VEGETATION NDVI S10数据、植被覆盖分类图、气象数据等,对2007年重庆市NPP进行遥感估算,在GIS及RS的支持下,进行数据的前期处理,对2007年重庆市NPP分布状况及年内变化情况进行分析.[结果]NPP平均值为112.343 ~ 799.391 g C/m2,研究区植被净初级生产力区域变化明显,季相差异显著,其中高值主要出现在渝东南、东北区域,低值主要存在于渝西北区域;NPP值夏季(6~8月)>春季(3~5月)>秋季(9~11月)>冬季(12 ~2月),年内阔叶林植被NPP最高,水生植被NPP生产量最低.[结论]该NPP估算方法能较好地模拟重庆市的NPP及其时空格局,估算结果比较符合实际,能应用于NPP估算项目中.

Abstract

[Objective] To estimate and analyze the vegetation net primary productivity (NPP) in Chongqing City by remote sensing.[Method] Based on CASA model,remote sensing estimation of NPP in Chongqing in 2007 was carried out by using meteorological data,SPOT/VEGETATION NDVI S10 data and vegetation classification figure.Under the support of GIS and RS,data pretreatment was adopted,and NPP distribution and change situation were analyzed in Chongqing in 2007.[Result] The NPP average value was 112.343-799.391 gC/m2 ; vegetation NPP changed significantly in research region; seasonal differences were significant.The high values appeared in southeast and northeast areas of Chongqing; while low values appeared in northwest Chongqing.The NPP values were in the order of summer (June-August) >spring (March-May) > autumn (September-November) > winter (December-February).NPP of broad-leaved forest vegetation was the maximum; but NPP of aquatic vegetation was the minimum.[Conclusion] This NPP estimation method can simulate the NPP in Chongqing City and its spatial and temporal pattern.The estimation results are relatively realistic,and can be used for the NPP estimation.

关键词

植被净初级生产力/CASA模型/遥感估算/重庆市

Key words

Net Primary Productivity (NPP)/CASA model/Remote sensing estimation/Chongqing

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基金项目

宁夏高等学校科学技术研究项目(NGY2013114)

出版年

2016
安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
被引量4
参考文献量6
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