Typical reclamation vegetation classification based on phenological feature parameters for coalfields in Shanxi Province

doi:10.6046/gtzyyg.2017.01.26

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Abstract

In this paper, the authors reconstructed MOD13Q1 time-series NDVI data from 2001 to 2013 using Savitzky-Golay filter and Chebyshev Polynomial methods for classifying vegetation types in the six coalfields in Shanxi Province. The key phenological parameters were extracted from the reconstructed NDVI data, such as the beginning dates of the growing season, length of the growing season, the ending dates of the growing season, the maximum NDVI value and the responding dates. The results show that different vegetation types of the six major coalfields in Shanxi have different phenological features. Cropland has distinguishable differences from grass and forest. Similarly, forest is distinguished from grass and cropland by integration of total growth. It is shown that the classification of vegetation types can achieve better results by extracting and analyzing the phonological parameters compared with multi-temporal unsupervised classification. The overall classification accuracy reaches 89.67%. This study provides a robust method for assessing long-term ecological conditions and monitoring vegetation coverage changes of the six major coalfields in Shanxi Province.

Keywords variogram grid division residential areas robustness texture difference curve spatial structure

:	TP79
	S127

Issue Date: 23 January 2017

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	ZHANG Enbing
	QIN Kun
	YUE Mengxue
	ZHANG Ye
	ZENG Cheng

Cite this article:

ZHANG Enbing,QIN Kun,YUE Mengxue, et al. Typical reclamation vegetation classification based on phenological feature parameters for coalfields in Shanxi Province[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 170-177.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.01.26 OR https://www.gtzyyg.com/EN/Y2017/V29/I1/170

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