基于多源数据的干旱区盐渍化农田精准管理分区研究

doi:10.13866/j.azr.2022.02.31

Abstract

Abstract:

According to the spatial heterogeneity of soil salinization, the precise management precise zoning of oasis farmland in the arid area of Southern Xinjiang is of great significance for the adjustment of areas, based on spatial heterogeneity in soil salinization, is important for determining agricultural planting structure structures and fine-scale management. This study selected the topical oasis farmland in arid zone as the study object and used electromagnetic induction data, topographic date, and satellite remote sensing data as for oasis farmland in the data sources. We analyzed arid zone of Southern Xinjiang to analyze the spatial heterogeneity of soil salinization by geostatistical. Geostatistical methods and screened the were used to evaluate vegetation index and salt index in indices for different periods with correlation analysis. The surface apparent electrical conductivity (EC_h0.375) of the farmland was used as the main variable, and the deep apparent electrical conductivity (EC_h0.75, EC_V0.75, EC_V1.5), vegetation index (RVI, GRVI, EVI), and soil salinity index (NDSI, S5, SI-T) were used as the auxiliary variables. The study area was partitioned by using an object-oriented multi-scale segmentation algorithm, and the zoning results were evaluated by the mean Coefficient of variation (C_V) and Moran’s I. The results showed that there was obvious spatial heterogeneity in the apparent electrical conductivity of each soil layers in the study area, and the auxiliary variables were significantly correlated with the main variable. The average coefficient of variation of each partition was reduced by 60% compared with that of the whole study area, and the. The interval heterogeneity based on multi-source data zoning was higher than that based on single-source data zoning. From the perspective of farmland cultivation, segmentation effects, and zoning evaluation principles, the, management zoning effect that integrated the information of surface and deep soil salinization was the best. And the zoning results were not only consistent with both local farmland management but also met the mechanized operation requirements. The findings can provide certain a technical and methodological reference for precise management zoning of oasis farmland in arid areas of Southern Xinjiang.

Key words: soil salinization, multi-source data, apparent electrical conductivity, object-oriented segmentation, precise management zoning, arid area

BAI Jianduo,PENG Jie,SHI Zhou,WANG Yuzhen,LIU Weiyang,LI Hongyi. Precise management zoning in arid soil croplands based on multi-source data[J].Arid Zone Research, 2022, 39(2): 646-655.

Figures/Tables 7

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References 27

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表观电导率	最小值/(mS·m^-1)	最大值/(mS·m^-1)	平均值/(mS·m^-1)	变异系数/%	峰度	偏度
EC_h0.375	2.39	300.98	59.39	81.82	1.54	1.87
EC_h0.75	3.23	287.15	55.58	71.95	1.32	1.83
EC_v0.75	1.17	280.04	54.67	74.52	1.16	1.72
EC_v1.5	2.24	290.43	54.19	78.97	2.82	1.02

表观电导率	模型	块金值	基台值	块金值/基台值/%	变程/m	决定系数	残差
EC_h0.375	指数	5.33	10.79	49.38	2579.00	0.96	0.92
EC_h0.75	指数	3.59	7.18	49.99	2148.00	0.94	0.68
EC_v0.75	指数	4.82	9.64	49.99	2067.00	0.94	1.27
EC_v1.5	指数	3.05	6.27	48.61	1383.00	0.93	0.52

	光谱指数及地形数据	相关系数	计算公式
植被指数	比值植被指数（RVI）	-0.11^**	NIR/R
	差值植被指数（DVI）	-0.02	NIR-R
	绿度差值植被指数（GDVI）	-0.02	NIR-G
	绿度比值植被指数（GRVI）	-0.12^**	NIR/G
	归一化植被指数（NDVI）	-0.09^**	（NIR-R）/（NIR+R）
	增强植被指数（EVI）	-0.11^**	2.5×（NIR-R）/（NIR+6×R-7.5×B+1）
	近红外归一化（NNIR）	-0.09^**	NIR/（NIR+R+G）
	红光归一化指数（NR）	-0.09^**	R/（NIR+R+G）
	绿光归一化指数（NG）	0.09^**	G/（NIR+R+G）
土壤盐分指数	归一化差值盐分指数（NDSI）	0.11^**	（R-NIR）/（R+NIR）
	盐渍化指数1（S1）	0.02	B/R
	盐渍化指数2（S2）	0.03	（B-R）/（B+R）
	盐渍化指数3（S3）	0.07^*	（G×R）/B
	盐渍化指数5（S5）	0.10^**	（B×R）/G
	盐渍化指数6（S6）	-0.03	（R×NIR）/G
	盐渍化指数（SI-T）	0.10^**	（R/NIR）×100
	盐分指数（SI）	0.08^*	SQRT（B×R）
	盐分指数1（SI1）	0.07^*	SQRT（G×R）
	盐分指数2（SI2）	0.04	SQRT（G^2+R^2+NIR^2）
	盐分指数3（SI3）	0.07^*	SQRT（G^2+R^2）
	强度指数1（Int1）	0.07^*	（G+R）/2
	强度指数2（Int2）	0.05	（G+R+NIR）/2
地形数据	地形数据（DEM）	-0.01	-

分区信息	分区内变异系数/%	分区间莫兰指数
EC_h0.375	13.60	0.1281
EC_h0.375+深层表观电导率	15.84	0.0075
EC_h0.375+植被指数	18.65	0.0184
EC_h0.375+土壤盐分指数	16.30	0.0168

Precise management zoning in arid soil croplands based on multi-source data

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