Abstract
This manuscript presents a comprehensive study on soil quality analysis and mapping across various land uses in the city of Madurai, India, leveraging advanced geospatial technology. Soil quality assessment is crucial for sustainable land management and informed decision-making in urban planning and agriculture. The study integrates geospatial data, remote sensing imagery, and ground-truthing techniques to evaluate soil properties and categorize land uses, facilitating a holistic understanding of the city’s soil health. The research begins by collecting soil samples from multiple locations representing diverse land uses, including urban, peri-urban, and agricultural areas within Madurai. Laboratory analyses are performed to measure various soil attributes such as pH, organic matter content, nutrient levels, and texture. Simultaneously, high-resolution satellite imagery and geographic information system (GIS) data are employed to create detailed land use maps, identifying distinct patterns and spatial distributions. The pH, amount of organic matter, amount of nutrients, and texture of the soil were all examined. Based on the significance of these characteristics in determining soil quality, a soil quality index was devised, and maps of soil quality were made for each type of land use. The consistency index map is created to gauge the level of soil contamination. Using statistical and geospatial analyses, the manuscript highlights significant variations in soil properties across different land use types. It explores the impact of urbanization on soil quality, revealing areas of soil degradation and pollution in urban zones. Furthermore, the study identifies regions with fertile soils suitable for agricultural purposes and suggests potential areas for soil improvement and sustainable land management practices.
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The data that support the fndings of this study are not openly available and are available from the corresponding author upon reasonable request.
References
Abdellatif MA et al (2021) "A GIS-based approach for the quantitative assessment of soil quality and sustainable agriculture. Sustainability 13(23):13438
AbdelRahman MAE, Tahoun S (2019) GIS model-builder based on comprehensive geostatistical approach to assess soil quality.". Remote Sens Appl: Soc Environ 13:204–214
Abuzaid AS, Abdellatif AD, Fadl ME (2021) Modeling soil quality in Dakahlia Governorate, Egypt using GIS techniques. Egypt J Remote Sens Space Sci 24(2):255–264
Alaboz P, Işıldar AA, Müjdeci M, Şenol H (2017) Effects of different vermicompost and soil moisture levels on pepper (capsicum annuum) grown and some soil properties. Yuzuncu Yıl Univ J Agric Sci 27(1):30–36
Asadi SS, Azeem S, Prasad AV, Reddy MA (2008) Analysis and mapping of soil quality in Khandaleru catchment area using remote sensing and GIS. Current Science 10:391–396
Aslam B et al (2021) Soil erosion susceptibility mapping using a GIS-based multi-criteria decision approach: Case of district Chitral, Pakistan.". Ain Shams Eng J 12(2):1637–1649
Azharul I, Hasan A, Farukh MA (2017) Application of GIS in general soil mapping of Bangladesh. J Geographic Inf Syst 5:604–621
Balamurugan P, Balakumaran S (2015) Soil quality assessment around magnesite mines and Salem township using GIS techniques. Int J Adv Eng Technol 8(1):1997
Borgogno-Mondino E, Fabietti G, Ajmone-Marsan F (2015) Soil quality and landscape metrics as driving factors in a multi-criteria GIS procedure for peri-urban land use planning. Urban Forestry & Urban Greening 14(4):743–750
Chand S (2010) Challenges of soil quality of Indian soils vis-á-vis food security. Curr Sci 99(3):278–280
de Paul Obade V, Lal Rattan (2013) Assessing land cover and soil quality by remote sensing and geographical information systems (GIS). Catena 104:77–92
Dengiz O (2013) Land suitability assessment for rice cultivation based on GIS modelling. Turk J Agric for 37(3):326–334
Gao J-F, Li C-F, Zhang H-H (2003) Soil spatial analysis and agricultural land use optimization by using GIS. Chin Geogra Sci 13:25–29
Hammam AA et al (2022) Assessment of soil contamination using gis and multi-variate analysis: a case study in El-Minia Governorate, Egypt. Agronomy 12(5):1197
Jiang X et al (2019) Spatial distribution mapping of Hg contamination in subclass agricultural soils using GIS enhanced multiple linear regression. J Geochem Explor 196:1–7
Li H, Chen X, Cai X, He L, Huang W (2005) Assessment of soil quality using GIS & RS. Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05, Seoul, p 2972–2975. https://doi.org/10.1109/IGARSS.2005.1525693
Lovett AA et al (2009) Land use implications of increased biomass production identified by GIS-based suitability and yield mapping for Miscanthus in England. Bioenergy Research 2:17–28
Maleki S et al (2022) Assessing variation of soil quality in agroecosystem in an arid environment using digital soil mapping. Agronomy 12(3):578
Moore F et al (2016) Soil quality assessment using GIS-based chemometric approach and pollution indices: Nakhlak mining district, Central Iran.". Environ Monitoring Assess 188:1–16
Nabiollahi K, Taghizadeh-Mehrjardi R, Eskandari S (2018) Assessing and monitoring the soil quality of forested and agricultural areas using soil-quality indices and digital soil-mapping in a semi-arid environment. Arch Agronomy Soil Sci 64(5):696–707
Nael M, Khademi H, Hajabbasi MA (2004) Response of soil quality indicators and their spatial variability to land degradation in central Iran. Appl Soil Ecol 27(3):221–232
Ochola WO, Kerkides P (2004) An integrated indicator-based spatial decision support system for land quality assessment in Kenya. Comput Electron Agric 45(1–3):3–26
Ozsahin E, Eroglu I, Pektezel H (2017) Soil quality index (SQI) ANALYSIS of Tekirdag province using GIS (Thrace, Turkey). Fresen Environ Bull 26(4):3005–3014
Panday D et al (2018) Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS. PloS one 13(10):e0206350
Rahmanipour F, Marzaioli R, Bahrami HA, Fereidouni Z, Bandarabadi SR (2014) Assessment of soil quality indices in agricultural lands of Qazvin Province, Iran. Ecol Indic 40:19–26
Ray, S. K., et al. "Soil and land quality indicators of the Indo-Gangetic Plains of India." Current Science (2014): 1470–1486.
Rezaee L et al (2020) Soil quality indices of paddy soils in Guilan province of northern Iran: spatial variability and their influential parameters. Ecol Indic 117:106566
Samaei F, Emami H, Lakzian A (2022) Assessing soil quality of pasture and agriculture land uses in Shandiz county, northwestern Iran. Ecol Ind 139:108974
Şenol H et al (2020) Computational intelligence applied to soil quality index using GIS and geostatistical approaches in semiarid ecosystem. Arabian J Geosci 13:1–20
Taghipour K et al (2022) Assessing changes in soil quality between protected and degraded forests using digital soil mapping for semiarid oak forests, Iran. Catena 213:106204
Vilas MA, Ghosal A (2015) Water and soil quality analysis of selected areas of Sunderban and mapping using GIS technique. Int J Res Chem Environ (IJRCE) 4:44–59
Zeraatpisheh M et al (2020) Assessing the effects of deforestation and intensive agriculture on the soil quality through digital soil mapping. Geoderma 363:114139
Zhu A-X et al (2001) Soil mapping using GIS, expert knowledge, and fuzzy logic. Soil Sci Soc Am J 65:1463–1472
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Anuradha, C.T. Soil quality analysis and mapping of various land uses using geospatial technology: a case study. Appl Geomat 16, 57–66 (2024). https://doi.org/10.1007/s12518-023-00538-3
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DOI: https://doi.org/10.1007/s12518-023-00538-3