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JOURNAL OF NATURAL RESOURCES >

2016 , Vol. 31 >Issue 6: 1051 - 1060

DOI: https://doi.org/10.11849/zrzyxb.20150669

Resource Research Method

Soil Salinity Estimation and Remote Sensing Inversion Based on Near-ground Multispectral and TM Imagery in Winter Wheat Growing Area in the Yellow River Delta—Case Study in Kenli County and Wudi County, Shandong Province

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  • College of Resources and Environment, National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources, Shandong Agricultural University, Taian 271018, China

Received date: 2015-06-15

  Online published: 2016-06-20

Supported by

“Twelfth Five Year”National Science and Technology Support Project, No. 2013BAD05B06 and 2015BAD23B0202;National Natural Science Foundation of China, No. 41271235.

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Abstract

The Yellow River Delta is an important area of reserve land. Because of the great effects of the soil salinization on the agricultural production in this area, momentarily acquiring the soil salt content and its distribution in the region is of great significance. We first collected near ground and multispectral images and surface soil salinity data using ADC portable multispectral camera and EC110 portable salinometer, and extracted the growing areas of winter wheat in the Yellow River Delta with two phases of remote sensing images. We built a soil salinity estimation model based on the vegetation index from near earth multispectral images, and then, the fitted the model to the OLI image of the Yellow River Delta to obtain the spatial distribution of soil salinity in winter wheat growing areas in the target region. The soil salinity in the winter wheat growing areas was analyzed. Results indicated that the best model of estimating salt content of soil was the linear model of SAVI (Y=-0.754x+0.870, n=80), estimated R2 being 0.747 and the accuracy being 81.44%; the winter wheat planed in the study area decreased from the southwest inland to the northeast coast; 76.90% of the total cultivated area has the soil salinity ranging between 1.5-3.0 g/kg, and 14.09% of the total cultivated area has the soil salinity more than 3.0 g/kg. This study has probed into soil salinity estimation methods based on the near earth multispectral data and OLI images, which provides a quick and effective approach for crop management and soil salinity estimation in the Yellow River Delta.

Key words： ADC portable multispectral camera; OLI images; remote sensing inversion; soil salinity; the Yellow River Delta

Cite this article

ZHANG Tong-rui, ZHAO Geng-xing, GAO Ming-xiu, CHANG Chun-yan, WANG Zhuo-ran . Soil Salinity Estimation and Remote Sensing Inversion Based on Near-ground Multispectral and TM Imagery in Winter Wheat Growing Area in the Yellow River Delta—Case Study in Kenli County and Wudi County, Shandong Province[J]. JOURNAL OF NATURAL RESOURCES, 2016 , 31(6) : 1051 -1060 . DOI: 10.11849/zrzyxb.20150669

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