| 杨树林全生长期LAI遥感估算模型适用性 |
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| 引用本文： | 王龑,田庆久,王琦,王磊.杨树林全生长期LAI遥感估算模型适用性[J].生态学报,2016,36(8):2210-2216. |
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| 作者姓名： | 王龑 田庆久 王琦 王磊 |
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| 作者单位： | 浙江省水利水电勘测设计院, 杭州 310002;南京大学国际地球系统科学研究所, 南京 210023,南京大学国际地球系统科学研究所, 南京 210023,中机十院国际工程有限公司, 洛阳 471003,南京大学国际地球系统科学研究所, 南京 210023 |
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| 基金项目： | 国家重大科技专项(30-Y20A01-9003-12/13); 全球变化研究国家重大科学研究计划项目课题(2010CB951503) |
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| 摘 要： | 基于时间序列的植被叶面积指数(LAI)估算方法一直是遥感领域研究的热点,对植被全生长期LAI进行估算以跟踪其生长情况具有重要的实用意义。以此为出发点,以滁州地区杨树林为研究对象,获取多时相环境卫星CCD(简称HJ-CDD)遥感影像,并利用LAI-2000同步测量杨树林叶面积指数(LAI)。使用归一化植被指数(NDVI)分别建立展叶期、花果期、叶面积稳定期和落叶始期的LAI估算模型,通过对比分析得到了全生长期LAI估算模型,并利用实测LAI对估算LAI进行了验证。最后进一步对该模型的适用性进行了验证,结果表明,此模型对于各个时期LAI的估算具有一定的适用性和有效性,可用于全生育期的遥感LAI生成,从而为LAI的动态变化监测提供了一种有效的研究思路和方法途径。
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| 关 键 词： | 杨树林 遥感 HJ-CCD LAI NDVI |
| 收稿时间： | 2014/10/21 0:00:00 |
| 修稿时间： | 2016/1/25 0:00:00 |
The applicability of leaf area index estimation model in an aspen forest over a growth period |
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| WANG Yan,TIAN Qingjiu,WANG Qi and WANG Lei.The applicability of leaf area index estimation model in an aspen forest over a growth period[J].Acta Ecologica Sinica,2016,36(8):2210-2216. |
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| Authors: | WANG Yan TIAN Qingjiu WANG Qi and WANG Lei |
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| Institution: | Zhejiang Design Institute of Water Conservancy and Hydroelectric Power, Hangzhou 310002, China;International Institute for Earth System Science, Nanjing University, Nanjing 210023, China,International Institute for Earth System Science, Nanjing University, Nanjing 210023, China,China Machinery TDI International Engneering Company Limited, Luoyang 471003, China and International Institute for Earth System Science, Nanjing University, Nanjing 210023, China |
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| Abstract: | Estimation of leaf area index (LAI) time series is a hotspot in remote sensing, because it allows tracking of vegetation biomass changes over a growth period. In this study, we acquired multi-temporal HJ-CDD remote sensing images of an aspen forest in Chuzhou area and synchronously measured LAI using LAI-2000. LAI estimation models of different growth stages (leaf production, flowering, fruit bearing, leaf constant period, and leaf abscission period) were constructed using normalized difference vegetation index (NDVI). Contrastive analysis was used to obtain LAI estimation model of the aspen forest over a growth period and estimated LAI was verified. The results showed that the model could be applied to estimate LAI over a growth period and provide useful information on the dynamic monitoring change of LAI. |
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| Keywords: | aspen forest remote sensing HJ-CCD LAI NDVI |
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