首页 | 本学科首页   官方微博 | 高级检索  
     检索      

太湖水生植被NDVI的时空变化特征分析
引用本文:张圳,张弥,肖薇,王伟,肖启涛,王咏薇,李旭辉.太湖水生植被NDVI的时空变化特征分析[J].遥感学报,2018,22(2):324-334.
作者姓名:张圳  张弥  肖薇  王伟  肖启涛  王咏薇  李旭辉
作者单位:南京信息工程大学气象灾害预报预警与评估协同创新中心耶鲁大学—南京信息工程大学大气环境中心;南京信息工程大学应用气象学院;
基金项目:国家自然科学基金(编号:41575147,41475141和41505005)
摘    要:为了明确太湖不同生态区水生植被长势的变化规律及其影响因子,利用MODIS传感器提供的NDVI数据,分析了太湖2000年—2015年NDVI的时间及空间变化特征。结果表明:太湖水生植被NDVI存在明显的季节变化和年际变化,NDVI每年最小值出现在冬季,最大值出现在植被生长旺盛的8月或9月,其值可达0.35;太湖全湖NDVI多年平均值为0.1,最大值为0.14,出现在2007年。太湖NDVI的空间差异可将太湖划分为不同的植被类型区,太湖西北部(竺山湾和梅梁湾)NDVI最大值可达0.2,植被类型主要以浮游藻类为主,东太湖区域最大值超过0.6,主要以沉水植被为主;太湖不同区域植被动态特征对气象因子的响应也不尽相同,沉水植物生长与平均气温有显著的正相关关系,而浮游植物区的生长状况受平均风速影响较大。

关 键 词:太湖  NDVI  时空变化  气象因子
收稿时间:2017/2/17 0:00:00

Analysis of temporal and spatial variations in NDVI of aquatic vegetation in Lake Taihu
ZHANG Zhen,ZHANG Mi,XIAO Wei,WANG Wei,XIAO Qitao,WANG Yongwei and Xuhui Lee.Analysis of temporal and spatial variations in NDVI of aquatic vegetation in Lake Taihu[J].Journal of Remote Sensing,2018,22(2):324-334.
Authors:ZHANG Zhen  ZHANG Mi  XIAO Wei  WANG Wei  XIAO Qitao  WANG Yongwei and Xuhui Lee
Institution:Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China;School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China;School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China;School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China;School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China;School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China
Abstract:The temporal and spatial variations in the Normalized Difference Vegetation Index (NDVI) were analyzed and the factors that affect the growth condition of different types of vegetation in Lake Taihu were identified using MODIS NDVI data gathered from 2000 to 2015. MOD13Q1 data were obtained with 16-day temporal resolution and 250 m spatial resolution. Projection transformation and irregular cutting were implemented according to the vector diagram of Lake Taihu. Then, abnormal values were eliminated by the band math module of ENVI 4.7 software (The range of NDVI is between -0.2 and 1). We analyzed the corresponding NDVI values and imported the results to MATLAB R2015b software according to the latitude and longitude that determine corresponding pixel points. The result indicated seasonal and inter-annual variations in the NDVI of aquatic vegetation in Lake Taihu. Annual minimum NDVI occurred in winter, and the maximum in August or September, reaching 0.35 with flourishing vegetation growth. The multi-year mean NDVI was 0.1, and the annual mean NDVI was the largest in 2007 at 0.14. The spatial distribution of NDVI and the different types of vegetation can be distinguished in Lake Taihu. The northwestern area of the lake (Zhushan Bay and Meiliang Bay) was covered by planktonic algae; the maximum value was larger than 0.2 in this area. The east area was mainly covered by submerged vegetation; the maximum value exceeded 0.6 in this region. In the different ecological areas of Lake Taihu, the responses of vegetation growth to meteorological factors differed. The seasonal NDVI variation of Lake Taihu was of single-peak type. The growth season of aquatic vegetation was from April to November. The inter-annual variability of spatial distribution of NDVI in the planktonic algae area could reflect the dynamics of cyanobacteria distribution. Submerged vegetation growth was positively correlated with mean air temperature. However, wind speed affected the growth of the planktonic algae.
Keywords:Lake Taihu  NDVI  temporal and spatial variation  meteorological factors
本文献已被 CNKI 等数据库收录!
点击此处可从《遥感学报》浏览原始摘要信息
点击此处可从《遥感学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号