基于ENDVI-SI3特征空间的盐渍化反演模型及风险评估

doi:10.6046/zrzyyg.2021349

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摘要

土壤盐渍化是干旱和半干旱地区面临的最严重环境风险,利用特征参量建立特征空间的遥感方法为土壤盐渍化的及时监测与反演提供了更有效、更经济的工具和技术。目前反演盐渍化的特征参量多选用归一化植被指数(normalized difference vegetation index,NDVI)和盐分指数(salinity index,SI),缺乏精细化分析与地区适用性。以内蒙古乌拉特前旗为研究区,基于Landsat8 OLI数据,选用引入短波红外波段的增强型归一化植被指数(enhanced normalized difference vegetation index,ENDVI)和半干旱区反演效果最优的盐分指数3(salinity index 3,SI3)构建ENDVI-SI3特征空间,建立改进型盐渍化监测指数(improved salinization monitoring index,ISMI)模型。结果表明,ISMI与土壤含盐量相关系数达0.82,反演精度优于NDVI,EDNVI和SI3(-0.66,-0.70和0.75),在ISMI基础上实现了内蒙古乌拉特前旗土壤盐渍化的定量反演分析与风险评估,为半干旱区盐渍化反演特征空间中特征参量的选取提供了优化思路。

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	张思源
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关键词 ：盐渍化, 遥感模型, 增强型归一化植被指数(ENDVI), 盐分指数3(SI3), 特征空间, 风险评估

Abstract：

Soil salinization is the most severe environmental risk in arid and semi-arid areas. The remote sensing method that constructs a characteristic space based on characteristic parameters provides an effective and economical tool and technique for the timely monitoring and inversion of soil salinization. Presently, the normalized difference vegetation index (NDVI) and the salinity index (SI) are mainly selected as the characteristic parameters for salinization inversion, while refined analysis and regional applicability are lacking. This study investigated Urad Front Banner in Inner Mongolia based on the Landsat8 OLI data. The ENDVI-SI3 characteristic space was constructed using the enhanced normalized difference vegetation index (ENDVI) that introduced the shortwave infrared band and the salinity index 3 (SI3) with the best inversion effect for semi-arid areas. Accordingly, the improved salinization monitoring index (ISMI) model was built. The results show that the correlation coefficient between ISMI and soil salt content was up to 0.82, and the inversion precision of the ISMI model was higher than that of NDVI, EDNVI, and SI3 (-0.66, -0.70, and 0.75, respectively). Based on the ISMI, this study achieved the quantitative inversion analysis and risk assessment of soil salinization in Urad Front Banner. This study provides an approach for selecting the optimal characteristic parameters of the characteristic space in the salinization inversion of semi-arid areas.

Key words： salinization remote sensing model ENDVI SI3 feature space risk assessment

收稿日期: 2021-10-21 出版日期: 2022-12-27

ZTFLH:

TP79

基金资助:中国地质调查局项目“黄河流域巴彦淖尔地区地表基质层调查”(DD20211591);国家自然科学基金项目“典型人为有机质记录反演西藏地区近代湖泊沉积环境演变”(41872100)

通讯作者: 袁国礼(1971-),男,教授,主要从事岩石地球化学与环境地球化学研究。Email: yuangl@cugb.edu.cn。

作者简介: 张思源(1991-),男,工程师,主要从事自然资源综合调查研究。Email: zhangsy5@qq.com。

引用本文:

张思源, 岳楚, 袁国礼, 袁帅, 庞文强, 李俊. 基于ENDVI-SI3特征空间的盐渍化反演模型及风险评估[J]. 自然资源遥感, 2022, 34(4): 136-143.
ZHANG Siyuan, YUE Chu, YUAN Guoli, YUAN Shuai, PANG Wenqiang, LI Jun. Salinization inversion model based on ENDVI-SI3 characteristic space and risk assessment. Remote Sensing for Natural Resources, 2022, 34(4): 136-143.

链接本文:

https://www.gtzyyg.com/CN/10.6046/zrzyyg.2021349 或 https://www.gtzyyg.com/CN/Y2022/V34/I4/136

Fig.1 乌拉特前旗地理位置示意图

Fig.2 ENDVI-SI3二维散点图

指数	全称	公式^①	相关系数
NDVI	归一化植被指数	$N D V I = N I R - R N I R + R$	-0.66
ENDVI	增强型归一化植被指数	$E N D V I = N I R - R + S W I R 2 N I R + R + S W I R 2$	-0.70
EVI	增强植被指数	$E V I = 2.5 N I R - R N I R + 6 R - 7.5 B + 1$	-0.54
EEVI	扩展型增强植被指数	$E E V I = 2.5 N I R - R + S W I R 2 N I R + 6 R - 7.5 B + 1$	-0.46
MSAVI	修正土壤调节植被指数	$M S A V I = 12 [(2 N I R - 1) - 2 (N I R + 1) - 8 (N I R - R)$	-0.67
SI	盐分指数	$S I = B R$	0.72
ESI	增强型盐分指数	$E S I 1 = B R + S W I R 1 S W I R 1$	0.73
SI3	盐分指数3	$S I 3 = G 2 + R 2$	0.75
ESI3	增强型盐分指数3	$E S I 3 = (G 2 + R 2 + S W I R) 2 S W I R 1$	0.64
S2	盐分指数	$S 2 = B - R B + R$	0.62
ES2	增强型盐分指数	$E S 2 = B - R + S W I R 2 B + R + S W I R 2$	-0.61
SI-T	盐分指数	$S I - T = R N I R × 100$	0.68
ESI-T	增强型盐分指数	$E S I - T = R N I R + S W I R 2$	0.73
NDSI	归一化盐分指数	$N D S I = R - N I R R + N I R$	0.43
ENDSI	增强型归一化盐分指数	$E N D S I = R - N I R R + N I R + S W I R 2$	0.61

Tab.1 指数相关性分析结果

Tab.2 基于ISMI的盐渍土壤分级

Fig.3 基于ISMI的乌拉特前旗盐渍土壤空间分布

变量	相关系数r	显著水平P	样本数	灰色关联度 $γ$	权重 $w$
镁离子/(g·kg^-1)	0.836	<0.001	66	0.909	0.126
含盐量/(g·kg^-1)	0.820	<0.001	66	0.917	0.127
氯离子/(g·kg^-1)	0.772	<0.001	66	0.897	0.124
钠离子/(g·kg^-1)	0.752	<0.001	66	0.884	0.123
硫酸根/(g·kg^-1)	0.635	<0.001	66	0.833	0.115
钙离子/(g·kg^-1)	0.524	<0.001	66	0.949	0.132
有机质/(g·kg^-1)	-0.327	0.007	66	0.924	0.128
有效磷/(mg·kg^-1)	0.289	0.019	66	0.900	0.125
钾离子/(g·kg^-1)	0.228	0.065	66	0.949	—
pH	0.212	0.087	66	0.958	—
全氮/(g·kg^-1)	-0.203	0.103	66	0.927	—
容重/(g·cm^-3)	-0.196	0.115	66	0.952	—
碳酸氢根/(g·kg^-1)	0.061	0.629	66	0.939	—

Tab.3 盐渍化风险评估因子相关性筛选及赋权

Fig.4 SRAV与ISMI的函数关系

Fig.5 乌拉特前旗土壤盐渍化风险评估空间分布

Tab.4 乌拉特前旗土壤盐渍化风险评估分级

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