基于MODIS数据的山西省六大煤田区植被覆盖度时空变化特征及其驱动力分析

干旱区地理 ›› 2016, Vol. 39 ›› Issue (1): 162-170.

基于MODIS数据的山西省六大煤田区植被覆盖度时空变化特征及其驱动力分析

张彦彬¹, 安楠², 刘佩艳¹, 张玉虎³, 姚云军⁴, 贾坤⁴

1. 山西省自动化研究所, 山西太原 030012;
2. 堪萨斯州立大学农学系环境与农业空间分析实验室, 美国 66506;
3. 首都师范大学资源环境与旅游学院, 北京 100048;
4. 北京师范大学地理学与遥感科学学院遥感科学国家重点实验室, 北京 100875

收稿日期:2015-07-29 修回日期:2015-10-08 出版日期:2016-01-25
通讯作者: 姚云军(1980-),男,博士,硕士生导师,主要从事定量遥感方面的研究.Email:boyyunjun@163.com
作者简介:张彦彬(1967-),男,高级工程师,主要从事遥感应用方面的研究.Email:zyb9633@163.com
基金资助:
国际合作项目"利用卫星遥感技术对煤矿复垦生态环境的动态监测及分析"(2013DFA91870);国家自然科学基金"集成热红外和微波遥感的农田蒸散估算方法研究"(41201331)

Spatial-temporal variation and driving factors of fractional vegetation cover of six major coalfields in Shanxi Province

ZHANG Yan-bin¹, AN Nan², LIU Pei-yan¹, ZHANG Yuhu³, YAO Yunjun⁴, JIA Kun⁴

1 Shanxi Automation Research Institute, Taiyuan 030012, Shanxi, China;
2 Ecology & Agriculture Spatial Analysis Laboratory, Department of Agronomy, Kansas State University, 66506, USA;
3 College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China;
4 State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing 100875, China

Received:2015-07-29 Revised:2015-10-08 Online:2016-01-25

摘要/Abstract

摘要： 为了分析山西省六大煤田区2000 年之后植被覆盖度的时空分布及其驱动力因素,基于2001-2013 年MODIS NDVI 数据和像元二分方法对山西省六大煤田植被覆盖进行反演和动态监测,并利用以一元线性回归为基础的趋势分析法对研究区植被覆盖趋势变化进行研究分析.结果表明:(1)研究区在13 a 里植被覆盖整体呈先减后增,波动中上升趋势.(2)空间上看,植被覆盖河东煤田和大同煤田增长最明显,整体表现南部好于北部,东部好于西部.(3)从季节变化看,春季植被有明显退化趋势,夏季植被改善明显,秋季植被增长趋势逐渐减弱.气候变化和人类活动造成的煤田区生态环境退化是煤田区植被覆盖度时空变化的主要驱动因素.

关键词: MODIS, NDVI, 植被覆盖度, 时空变化特征, 煤田区

Abstract: Fractional vegetation cover,which refers to the fraction of green vegetation seen from the nadir of the total statistical area,is an important parameter in surface process models for numerical weather prediction,regional and global climate modeling,and global change studies. Remote sensing provides the only feasible way to generate fractional vegetation cover products at the regional and global scales because of its advantages to quickly provide broad,impartial and easily available data on the land surface. Especially,the fractional vegetation cover of Shanxi's coalfields is sentive to local eco-environmetal chenges. Therfore,assessing the fractional vegetation cover and its changes over Shanxi's coalfields is an impotant project. In this study,the spatial-temporal pattern and change of fractional vegetation cover of six major coalfields in Shanxi Province of China were analyzed since 2000. The dimidiate pixel model based on the Normalized Difference Vegetation Index(NDVI)calculated by the Moderate Resolution Imaging Spectroradiometer(MODIS)spectral reflectance data was used to estimate fractional vegetation cover of of six major coalfields in Shanxi Province of China from 2001 to 2013. The trend analysis based on linear regression method was also used to analyze the trend of fractional vegetation cover. Results showed that the overall fractional vegetation cover variation presented an ascending trend during the 13-year study period. The fractional vegetation cover of Hedong and Datong coalfields improved dramatically among the six major coalfields. The fractional vegetation cover of the southern coalfields was better than that of the northern coalfields,and better of eastern coalfields than that of western coalfields. The fractional vegetation cover showed degradation trend in spring,obvious improving trend in summer,and slow increase trend in fall. The degradation of the ecological environment caused by the climate change and human activity is the main driving factor for the spatio-temporal changes of fractional vegetation cover in coalfield area. The proposed method is reliable for fractional vegetation cover estimation and can be implemented to detect a long time series changes of regional fractional vegetation cover from MODIS reflectance data. A lot of analysis indicated that the spatial and temporal continuity of the estimates by the proposed method was superior to that by using individual MODIS index. The findings of the paper highlighted that the seasonal and spatial variations in fractional vegetation cover are significantly increased in most coalfields and multiple factors contributed to this changes. Further work should focus on an extensive assessment of the performance of the proposed method using more observed data and analyze the potential contributors to variation in fractional vegetation cover of coalfields.

Key words: MODIS, NDVI, fractional vegetation cover, spatio-temporal variability, coalfields

中图分类号:

TP79

张彦彬, 安楠, 刘佩艳, 张玉虎, 姚云军, 贾坤. 基于MODIS数据的山西省六大煤田区植被覆盖度时空变化特征及其驱动力分析[J]. 干旱区地理, 2016, 39(1): 162-170.

ZHANG Yan-bin, AN Nan, LIU Pei-yan, ZHANG Yuhu, YAO Yunjun, JIA Kun. Spatial-temporal variation and driving factors of fractional vegetation cover of six major coalfields in Shanxi Province[J]. , 2016, 39(1): 162-170.

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