Wetland Plant Extraction Based on the Time Series Landsat NDVI in Dongting Lake Area

doi:10.13466/j.cnki.lyzygl.2017.04.016

Abstract

Abstract:

As an important ecological system,wetland of lake groups and river system in Dongting Lake area is essential for the ecological environment.Due to the continuous disturbance of human activities and globe climate change,wetland in Dongting Lake area has degraded and it’s urgent to monitor the wetland change timely.In this paper,we used Landsat8 OLI data and MODIS data to get the time series Landsat NDVI data based on spatial and temporal adaptive reflectance fusion model (STARFM).Then,the Savitzky-Golay (S-G) filter was employed to smooth the time series Landsat NDVI data.With the phonological calendar of plant wetland and the computation of Jeffries-Matsushita distance (J-M),and through selecting validation data randomly throughout the study area for many times,we got the best J-M distance and the optimal Landsat NDVI data combination.Support vector machine was used to map wetland distribution of study area.Results showed that this method could map wetland fields effectively,and get a high overall precision of 91.52% with the Kappa coefficient of 0.85,and overall accuracy and Kappa coefficient were improved about 4.16% and 0.03,respectively,compared with using single date Landsat8 OLI spectral data.Especially,the precision of plant wetland,such as sedge,reed,polar and paddy,were improved about 2.35%,0.67%,10.47% and 4.75% for user accuracy and 3.57%,2.31%,10.11% and 6.21% for producer accuracy.The research can provide an important way to solve the problem of missing data on monitoring wetland.

Key words: time series, NDVI, STARFM, Dongting Lake area, wetland vegetation

CLC Number:

S757.2
TP79

LIU Xiaonong, XING Yuanjun, LUO Peng. Wetland Plant Extraction Based on the Time Series Landsat NDVI in Dongting Lake Area[J]. FOREST RESOURCES WANAGEMENT, 2017, (4): 103-109.

Figures/Tables 8

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数据类型	行列号	获取日期
Landsat8 OLI	123/39	2015年云量<5%的所有影像
	123/40
	124/39
	124/40
MODIS 13Q1	h27v05	2015年1月—2015年12月共23期
MODIS 13Q1	h27v06	2015年1月—2015年12月共23期

NDVI编号	NDVI对应日期	NDVI对应天数/d
1	5月09日	129
2	5月25日	145
3	6月10日	161
4	6月26日	177
5	7月12日	193
6	7月28日	209
7	8月13日	225
8	8月29日	241
9	9月14日	257
10	9月30日	273
11	10月16日	289
12	11月01日	305
13	11月17日	311

Landsat NDVI 数据组合序号	J-M值
Landsat NDVI 数据组合序号	芦苇-双季稻	苔草-一季稻	苔草-芦苇	双季稻-一季稻	双季稻-芦苇	一季稻-芦苇
1 4 6 8	1.873	1.813	1.785	1.826	1.831	1.782
1 4 6 8 10	1.894	1.839	1.822	1.852	1.848	1.825
1 3 4 6 8 10	1.924	1.857	1.842	1.863	1.891	1.849
1 3 4 6 8 10 13	1.918	1.934	1.919	1.938	1.946	1.927
1 3 4 6 8 9 10 13	1.988	1.974	1.972	1.989	1.978	1.969
1 3 4 6 7 8 9 10 13	1.999	2.000	1.998	1.992	2.000	2.000
1 3 4 5 6 7 8 9 10 13	2.000	2.000	2.000	1.999	2.000	2.000
1 3 4 5 6 7 8 9 10 11 13	2.000	2.000	2.000	1.999	2.000	2.000

数据集	分类方法	湿地类型	生产者精度/%	用户精度/%	总体分类精度/%	Kappa系数
单时相Landsat	SVM	水体	97.43	96.27	87.36	0.82
		泥沙滩地	91.03	92.19
		苔草沼泽	78.45	81.74
		芦苇沼泽	88.26	90.17
		杨树林沼泽	78.45	80.26
		水田	82.06	85.37
时序Landsat	SVM	水体	96.24	98.31	91.52	0.85
		泥沙滩地	94.26	93.98
		苔草沼泽	82.13	84.09
		芦苇沼泽	90.57	90.84
		杨树林沼泽	88.56	90.73
		水田	88.27	90.12