It is of great significance to strengthen the research on the relationship between land use/cover and environmental sustainable development. Taking Hekou District in the Yellow River Delta as an example, based on “3S” technology, using the methods of field investigation, sampling test and statistical analysis, combining remote sensing classification with spatial interpolation, the land information is accurately extracted, and the land salinization and utilization characteristics and their matching relationship are analyzed. The spatial characteristics of land use in Hekou District are obvious. Cultivated land is concentrated in the southwest and southeast, a little in the middle. Aquaculture water surface and saline wasteland are concentrated in the northeast and northwest coastal area. Construction land is concentrated in the south, and salt pan fields are mainly distributed in the northwest. The spatial distribution of soil salinization in Hekou District increased from southwest to east and north in spring, showing strong variability. The spatial distribution and quantity of land use and salinization are in the relationship of "overall matching and partial mismatch". Land use should be adjusted according to the characteristics of salinization and land demand. Hekou District should strengthen the protection of cultivated land, develop characteristic gardens and animal husbandry, explore the multi-functional utilization of saline land resources, and promote regional ecological improvement and sustainable development.
In the quantitative estimation by spectra of soil organic matter (SOM), there are great difficulties in the extraction of characteristic spectral information. It is difficult to effectively improve the correlation with SOM by ordinary spectral transformations, and the spectral estimation models are not high in accuracy and applicability. The purpose of this paper is to explore a more accurate and more suitable non-destructive evaluation model for apple orchard soil. In this paper, an apple orchard in Shuangquan Town, Changqing District, Jinan City, was selected as the study area. The continuous wavelet transform (CWT) was used to process the original soil spectra at multiple scales, and the effect of the estimation model on the SOM correlation at different resolutions was investigated. The results showed that the CWT treatment significantly improved the degree of spectral response to SOM in the orchard. Compared with the original spectra, the prediction accuracy of the model constructed by CWT was higher. After wavelet algorithm processing, the prediction ability of the model tends to increase with the decrease of spectral resolution. The best prediction accuracy was found at the spectral resolution of 20 nm, with the coefficient of determination R2= 0.7547 and the root means square error RMSE=0.0042; the validation accuracy R2=0.8015 and the root mean square error RMSE=0.0039. The model achieved a more satisfactory prediction result at the spectral resolution of 5 nm also. The results show that the broad-band spectral data processed by CWT can be used for accurate monitoring of SOM in apple orchards.
Timely and accurate grasp of land salinization status and its matching relationship with land use is the basis for scientific improvement of saline land and rational land use. The current land use types of Shouguang City on the south coast of the Bohai Sea were obtained based on Landsat 8 OLI multispectral images using supervised classification. And the spatial distribution map of land salinization was obtained by IDW interpolation. By superimposed analysis of the current land use types and the spatial distribution of salinization, the information of salinization degree was obtained. The matching relationship between salinization and land use was analyzed from both quantitative and spatial aspects. The results show that OLI multispectral image and filed survey can improve the extraction accuracy of land types and salinization degree information. The distribution of salinized land in Shouguang City has prominent regional characteristics, with non-saline, mild, moderate, severe, and saline soil distributed in a pattern of “large concentration and small insertion” from south to north. The spatial consistency of land use and salinization in Shouguang is remarkable, forming spatial characteristics of “vegetable in the south, grain and cotton in the middle, and fishery and salt in the north”. However, no matter from space or quantity, the land use and salinization in Shouguang City have the problem of “overall match, local mismatch”. It is suggested to take differentiated measures to regulate land use according to the current situation of distribution characteristics of land salinization and utilization.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.