基于1990—2019年多时相影像的干旱区绿洲景观格局分析

doi:10.13866/j.azr.2022.02.26

Abstract

Abstract:

In this study, 226 scenes of Landsat image data of Aral Reclamation Area from 1990 to 2019 were used to compare different classification methods, from which that with the highest accuracy was selected. The landscape pattern changes in the Aral Reclamation Area for more than 30 years were analyzed in terms of patch type level, landscape level, abrupt changes, and spatial distribution, respectively. The best results were obtained for the multi-temporal object-oriented classification, with an overall accuracy of 96.57% and a Kappa coefficient of 0.95. At the patch type level, arable land tends to fragment over 30 years, the dominance of unused land decreases, the landscape shape of parkland and woodland tends to become more complex, and the landscape of water bodies and built-up land tends to become more balanced. At the landscape level, landscape shapes become more complex and fragmented, landscape connectivity decreases, and landscape richness and heterogeneity increase. The Aral Reclamation Area underwent a sudden change in landscape pattern in 2005. In terms of spatial distribution, there is a tendency for the central Tarim River region to spread out in all directions.

Key words: Landsat, multi-temporal object-oriented, continuous time series, landscape pattern, mutation point inspection, Aral Reclamation Area

SONG Qi,SHI Zhou,FENG Chunhui,MA Ziqiang,JI Wenjun,PENG Jie,GAO Qi,JIANG Xuewei. Analysis of landscape pattern from 1990 to 2019 based on multi-temporal imagery in arid oasis[J].Arid Zone Research, 2022, 39(2): 594-604.

Figures/Tables 12

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预测类别
		耕地	林草地	园地	水体	建设用地	未利用地	总计	UA/%
真实类别	耕地	24474	229	183	387	1	756	26030	94.02
	林草地	148	63977	443	449	0	1292	66309	96.48
	园地	152	809	24921	686	0	588	27156	91.77
	水体	0	16	0	57601	99	2242	59958	96.07
	建设用地	0	1	0	44	5421	403	5869	92.37
	未利用地	0	7	0	2441	642	162761	165851	98.14
总计		24774	65039	25547	61608	6163	168042	351173
PA/%		98.79	98.37	97.55	93.50	87.96	96.86	OA/%	98.79

	NP	LSI	CONTAG	SHDI
K-S检验Z值	1.830	2.132	2.407	2.252
双尾显著性检验(sig)	0.002^**	0.000^**	0.000^**	0.000^**

Analysis of landscape pattern from 1990 to 2019 based on multi-temporal imagery in arid oasis

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