[1]除多,普布次仁,德吉央宗,等.西藏高原中部草地地上生物量遥感估算方法[J].山地学报,2013,(06):664.
　CHU Duo,PUBU Ciren,DEJI Yangzong,et al.Aboveground Biomass Estimate Methods of Grassland in the Central Tibet[J].Mountain Research,2013,(06):664.
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西藏高原中部草地地上生物量遥感估算方法()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2013年06期
页码:
664
栏目:
青藏高原
出版日期:
2013-01-01

文章信息/Info

Title:
Aboveground Biomass Estimate Methods of Grassland in the Central Tibet
作者:
除多;普布次仁;德吉央宗;姬秋梅;唐洪;
1.中国气象局成都高原气象研究所拉萨分部，西藏 拉萨 850000；
2.西藏高原大气环境科学研究所，西藏 拉萨 850000；
3.西藏自治区畜牧科学研究所，西藏 拉萨 850000
Author(s):
CHU Duo; PUBU Ciren;  DEJI Yangzong; JI Qiumei; TANG Hong
1.Lhasa Campus of Institute of Plateau Meteorology, CMA, Lhasa 850000,China;
2.Tibet Institute of Plateau Atmospheric and Environmental Sciences, Lhasa 850000,China; 3.Tibet Institute of Animal Husbandry, Lhasa 850000,China
关键词:
草地地上生物量; 估算方法; 西藏中部
Keywords:
Aboveground biomass of Grassland;  Remote sensing;  Estimate method;  Central Tibet
分类号:
Q948,X87
文献标志码:
A
摘要:
为了充分利用现有MODIS卫星遥感数据和NASA等提供的相关陆地数据产品,实现对西藏高原草地生物量定量化业务监测和草地退化研究,利用西藏高原中部2004年5—9月草地植被生长期的实测地上生物量,结合同期的MODIS 16 d合成产品MOD13Q1 NDVI和EVI数据,建立了草地生长期地上生物量遥感监测模型和方法;同时,从植被非生长季等不同时段遥感监测业务需求出发,研究了以2个月为时间尺度的草地地上生物量定量化监测和估算模型。得出的主要结论如下:1.基于MODIS NDVI的指数函数模型是监测和估算西藏高原中部草地生长期地上生物量大小的最优模型,在所有模型中有最高的相关系数(0.778)和F检...
Abstract:
To take full advantage of MODIS remote sensing data obtained from the receiving station and existing NASA MODIS Land Products distributed from LP DAAC for grassland biomass monitoring and degradation study, the aboveground biomass (AGB) estimate methods of grassland in Tibet are developed at growing season from May to September and bimonthly level by integrating AGB data collected from 11 sites in the central Tibet from January to December in 2004 and concurrent vegetation index (VI) derived from MODIS MOD13Q1 products. The main results show that there are exponential relationships between AGB and NDVI during the vegetation growing season from May to September with 0778 of correlation coefficient and 127557 of F test value; at bimonthly level the exponential relationships between AGB and NDVI exist except the power relationship between AGB and NDVI from January to February and linear relationship between fresh AGB and NDVI from May to Jun; the correlation coefficients between NDVI and AGB are above 064 with the highest value of 0749 0 for AGB estimates from August to September and the lowest value of 0644 0 from January to February; the correlation coefficients between NDVI and fresh AGB are above 072 with the highest value of 0826 0 from August to September and the lowest value of 0727 5 from May to Jun. The results by P<001 test of significance indicate the highly significant positive correlation between aboveground biomass and MODIS NDVI. In contrast, MODIS NDVI is the optimum vegetation index for AGB and fresh AGB estimates in the central Tibet. The study suggests that satellite remote sensing is only practical means of monitoring grass biomass and other vegetation parameters at large scale in Tibet due to its vast area and complexity of grassland ecosystem. However, remote sensing based estimate methods of AGB should be further validated and improved using more ground based measurement data to compensate for its inadequacies. The AGB estimates developed in this study is suitable for the central Tibet and its accuracy will decrease if applied in whole Tibet plateau, which means that more detailed observation and investigation should be carried out in the future to further improve these biomass estimation models in order to be suitable for monitoring grassland AGB and other vegetation parameters of the entire Tibetan Plateau.

备注/Memo

备注/Memo:
收稿日期(Received date)：2012-12-23；改回日期(Accepted)：2013-03-15。
基金项目（Foundation item）：西藏自治区重点科技计划项目（201015）;公益性行业(气象)科研专项(GYHY201206040)。 [Key Projects of Science and Technology of Tibet Autonomous Region, No. 201015;China Special Fund for Meteorological Research in the Public Interest,No.GYHY201206040.]
作者简介（Biography）：除多(1969- )，西藏白朗县人，博士，研究员，主要从事环境遥感与GIS应用。[Chu Duo(1969-), Ph D, Professor, specialized in remote sensing and GIS applications in Tibetan Plateau.] E-mail: chu_d22@hotmail.com
更新日期/Last Update: 1900-01-01