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标题

内蒙古羊草草原返青期遥感识别方法研究

作者

范德芹 朱文泉 赵学胜 郑周涛

机构

中国矿业大学(北京) 地球科学与测绘工程学院; 北京师范大学资源学院; 北京师范大学 地表过程与资源生态国家重点实验室

摘要

研究羊草其返青期遥感识别方法对于模拟及预测内蒙古草原植被物候变化具有重要意义。为了有效识别内蒙古羊草草原的返青期,本研究基于250m分辨率的MODIS归一化差值植被指数(NDVI)时序数据,首先分别采用双高斯函数、多项式、S-G滤波三种拟合方法对原始NDVI时序数据进行重建,然后进一步分别采用最大斜率阈值法、动态阈值法及滑动平均法对重建的最优NDVI数据进行了返青期识别,并利用33个样本点的返青期地面观测数据对遥感监测结果进行了地面验证,结果表明,“S-G滤波+滑动平均法”是内蒙古羊草草原返青期的最佳遥感识别方法,可以此为基础开展内蒙古草原主要植被返青期的时空变化规律研究。

关键词

羊草;草原;NDVI;返青期;遥感

引用

赵安周; 朱秀芳; 潘耀1965—2013年黄土高原地区极端降水事件时空变化特征.[J]. 北京师范大学学报(自然科学版),2016,52(5)639-644.

基金

国家自然科学基金资助项目( 41171306,41371389)

分类号

TP79

DOI

10.16360/j.cnki.jbnuns.2016.05.018

Title

Optimal remote sensing method for estimating green-up date of Leymus chinensis steppe in Inner Mongolia

Author

Fan Deqin; Zhu Wenquan; Zhao Xuesheng; Zheng zhoutao

Affiliations

College of Geosciences and Survey Engineering, China University of Mining & Technology (Beijing); College of Resources Science and Technology, Beijing Normal University; State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University

Abstract

Accurate detection of green-up dates for L. chinensis is important to simulate and predict vegetation phenology shifts under the influence of climate change in Inner Mongolia. To identify green-up date of L. chinensis steppe effectively, double-Gaussian, Savitzky-Golay, and polynomial functions were used to reconstruct Normalized Difference Vegetation Index (NDVI) time series. After evaluations by visual inspection and root mean square error, the most feasible reconstruction method was identified. The maximum slope threshold, dynamic threshold and moving average methods were then used to derive green-up dates from the best reconstructed NDVI time series. Performance of these three methods for green-up date identification was tested against green-up data from 33 ground observation samples and corresponding Moderate-resolution Imaging Spectroradiometer NDVI time-series data at 250-meter resolution. NDVI time series reconstructed with Savitzky-Golay method indicated that green-up dates identified with moving average method agreed well with actually observed ground phenology data.

Key words

Leymus chinensis; steppe; NDVI; green-up date; remote sensing

cite

Fan Deqin; Zhu Wenquan; Zhao Xuesheng; Zheng zhoutao. Optimal remote sensing method for estimating green-up date of Leymus chinensis steppe in Inner Mongolia [J]. Journal of Beijing Normal University (Natural Science), 2016,52(5):639-644.

DOI

10.16360/j.cnki.jbnuns.2016.05.018

Copyright © 2014 Journal of Beijing Normal University (Natural Science)
Designed by Mr. Sun Chumin. Email: cmsun@mail.bnu.edu.cn