基于光学和雷达多源遥感的于田绿洲土壤盐渍化时空分析

doi:10.13866/j.azr.2023.01.07

Abstract

Abstract:

Soil salinization is currently a prominent global environmental problem. Spatiotemporal variation of soil salinization in Yutian Oasis was explored, and the advantages of radar remote sensing in excavated soil salinity were investigated to monitor and evaluate the temporal and spatial variabilities of soil salinization in arid oasis. Based on Phased Array type L-band Synthetic Aperture Radar 2 (PALSAR-2), Sentinel-1 polarimetric synthetic aperture radar data, and Landsat 8 Operational Land Imager (Landsat 8 OLI) multi-source dataset, the optimal backscattering characteristics of radar images were selected, and optical images were combined based on principal component analysis. Finally, the random forest method was used to classify the images. Quantitative extraction of soil salinization information in Yutian Oasis and the spatial and temporal variation of soil salinization were analyzed. Results showed that (1) under the random forest classification approach, the total accuracy of optical images in each year was 80.36%, and the kappa coefficient was 0.77. The classification accuracy of optical images combined with radar images was higher than that of optical images, the total accuracy was 85.62%, and the kappa coefficient was 0.82. (2) From 2015 to 2021, the area of salinized soil in Yutian Oasis was mainly distributed in the north of the study area, interlaced edge of the oasis, and desert. (3) The average annual variation of saline land area from 2015 to 2021 was -1120.55 hm²·a^-1, and the change rate was -10.67%. The salinization of Yutian Oasis generally showed a downward trend and was mainly mild to moderate saline land.

Key words: soil salinization, synthetic aperture radar, Landsat 8 OLI, random forest classification, spatial and temporal variation

XIAO Sentian, Ilyas NURMEMET, Nuerbiye MUHETAER, Zhao Jing, Adilai ABULAITI. Spatial and temporal analysis of soil salinity in Yutian Oasis by combined optical and radar multi-source remote sensing[J].Arid Zone Research, 2023, 40(1): 59-68.

Figures/Tables 12

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卫星传感器	获取日期	分辨率/m	产品类型	极化方式/波段
PALSAR-2	2015-04-23	10×10	Level 1.1	VV、VH
Sentinel-1A	2018-04-23	10×10	GRD	VV、VH
Sentinel-1A	2021-04-18	10×10	GRD	VV、VH
Landsat8 OLI	2015-04-26	30×30	Level1T	1~7
Landsat8 OLI	2018-04-18	30×30	Level1T	1~7
Landsat8 OLI	2021-04-10	30×30	Level1T	1~7

序列	组合方式	简称	波段	备注
Ⅰ	PCA光谱特征	方式一	3	-
Ⅱ	后向散射特征	方式二	4	VV VV+VH VV²+VH (VV²+VH²)/VH
Ⅲ	PCA+后向散射特征	方式三	7	-

地物	数据集	样本J-M测度
地物	数据集	轻中度盐渍地	裸地	植被	水体
重度盐渍地	方式一	1.710	1.928	1.762	1.924
	方式二	1.274	1.249	1.456	1.684
	方式三	1.893	1.899	1.973	2.000

组合方式	2015年		2018年		2021年
组合方式	总体精度/%	Kappa系数	总体精度/%	Kappa系数	总体精度/%	Kappa系数
方式一	79.55	0.75	80.32	0.77	81.21	0.79
方式三	85.19	0.81	84.59	0.80	87.07	0.84

分类类别	2015年		2018年		2021年
分类类别	面积/hm²	比例/%	面积/hm²	比例/%	面积/hm²	比例/%
水体	4839.01	3.09	7652.32	4.88	5553.04	3.52
植被	61061.10	38.94	68645.04	43.78	71506.76	45.31
裸地	27970.34	17.84	25340.48	16.16	24533.92	15.54
轻中度盐渍地	41518.64	26.48	36462.24	23.25	32359.16	20.51
重度盐渍地	21411.11	13.65	18700.08	11.93	23847.28	15.12

Spatial and temporal analysis of soil salinity in Yutian Oasis by combined optical and radar multi-source remote sensing

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