[1]黄肖寒,陈燕丽,黄冬梅.基于气候信息的河池市植被NDVI模拟[J].气象研究与应用,2018,39(04):42-45.
　Huang Xiaohan,Chen Yanli,Huang Dongmei.NDVI simulation of vegetation in Hechi based on climate information[J].Journal of Meteorological Research and Application,2018,39(04):42-45.
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基于气候信息的河池市植被NDVI模拟()
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气象研究与应用[ISSN:1673-8411/CN:45-1356/P]

卷:
第39卷
期数:
2018年04期
页码:
42-45
栏目:
应用气象
出版日期:
2018-12-31

文章信息/Info

Title:
NDVI simulation of vegetation in Hechi based on climate information
作者:
黄肖寒1;  陈燕丽2;  黄冬梅1
1. 河池市气象局, 河池 547000;
2. 广西壮族自治区气象减灾研究所, 南宁 530022
Author(s):
Huang Xiaohan1;  Chen Yanli2;  Huang Dongmei1
1. Hechi Meteorological Service, Hechi Guangxi 547000;
2. Guangxi Institute of Meteorological Disaster Reduction, Nanning 530022
关键词:
植被; NDVI; 模型; 气候信息
Keywords:
vegetation; NDVI; model; climate information
分类号:
P468
摘要:
以河池市10个县（区）植被为研究对象，对2000~2016年MOD13Q1遥感数据进行预处理得到NDVI数据集，采用线性趋势分析、反距离加权插值等方法分析植被NDVI值年际变化规律、空间分布特征，探讨石漠化演变过程中多种气候因子与植被指数的相关性及作用机制，采用逐步回归分析法建立基于气候因子的植被NDVI拟合模型。结果表明：（1）2000~2016年河池市的NDVI值呈现逐年上升的趋势，倾向率约为48.15·a-1；在空间上，NDVI值呈现较为显著的经向分布特征，沿市中部地区向两边地区逐渐递增。（2）对植被NDVI起直接作用的主要是温度类气候因子，水分类气候因子对植被NDVI的直接作用不明显，且植被NDVI对降水、水汽压和相对湿度的响应存在一定的滞后，但对日照时数、平均气温、月极端最高气温和极端最低气温的响应滞后不明显。（3）选入植被NDVI拟合模型的气候因子为同期的平均气温和日照时数，模型的拟合R2为0.81，拟合精度较高。
Abstract:
This paper took the vegetation of 10 counties (districts) in Hechi as research objects and obtained NDVI data sets by the pretreatment of MOD13Q1 remote sensing data from 2000 to 2016. Linear trend analysis and inverse distance weighted interpolation were used to analyze the interannual variations and spatial distribution characteristics of NDVI value. Additionally, the correlation and mechanism between climatic factors and vegetation index in the process of rocky desertification evolution were discussed, and the NDVI fitting model of vegetation based on climatic factors was established by stepwise regression analysis. The results show that (1) from 2000 to 2016, the NDVI value of Hechi goes up every year, with a tendency rate of about 48.15/a; the NDVI value presents a significant meridional distribution characteristic, and gradually increases along the central city to both sides. (2) Temperature climate factors play a direct role in vegetation NDVI, while water climate factors do not. The response of vegetation NDVI to precipitation, vapor pressure and relative humidity lag behind, but to sunshine duration, average temperature, monthly extreme maximum temperature, and monthly extreme minimum temperature, this effect is negligible. (3) The climate factors selected for NDVI fitting model are average temperature and sunshine duration in the same period. The fitting R2 of the model is 0.81 and it has a good fitting accuracy.

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备注/Memo

备注/Memo:
收稿日期:2018-06-30。
基金项目:河池市科技局项目“河池市石漠化片区自然生态环境演变趋势及其应对策略研究”（河科D1717-30）资助。
作者简介:黄肖寒(1987-),女,硕士,工程师,主要从事业务管理及气候变化研究工作,E-mail:530165343@qq.com。
更新日期/Last Update: 1900-01-01