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Editorial

Applications of GIS and Remote Sensing in Soil Environment Monitoring

1
Department of Architecture Design and Planning, University of Sassari, 07100 Sassari, Italy
2
Department of Agricultural and Environmental Science, University of Bari, 70121 Bari, Italy
3
Department of Geography, Faculty of Arts, University of Ljubljana, Aškerčeva 2, 1000 Ljubljana, Slovenia
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(18), 13705; https://doi.org/10.3390/su151813705
Submission received: 7 September 2023 / Accepted: 12 September 2023 / Published: 14 September 2023
(This article belongs to the Special Issue Applications of GIS and Remote Sensing in Soil Environment Monitoring)
Monitoring plays an essential role in the efficient and sustainable management of the environment. Accurate and rapid procedures and data enable the activation and implementation of public policies and initiatives with which to address emergencies and medium-term environmental depletion processes. Among these, soil consumption is one of the most important issues. Soil sealing threatens the protection of the environment and the security of food production [1,2] in a world where only 10–12% of natural soils are still available for agriculture [3]. Another important threat to the soil as a resource is the increase in the erosion process. Several studies expect soil erosion to increase in the 21st century due to global climate change and land use [4,5]. At this point, measures to mitigate the effects of soil erosion are currently on the agenda of international institutions such as the Food and Agriculture Organization [6] and the European Union [7].
On the other hand, the availability of remote sensing data with greater temporal and spatial resolution has increased recently [8]. This wealth of data, integrated with field observations, enables increasingly efficient monitoring processes. Therefore, it is essential to implement and perfect more accurate and efficient methods and models.
With this in mind, this Special Issue aims to collect various contributions dealing with ways to improve models for managing data in the environmental monitoring process, focusing on soil issues. In this volume, various aspects of environmental monitoring have been addressed in a logical framework. In some cases, the focus was on hazard detection and mapping [9,10,11,12,13]; in others, the focus was on the detection and description of soil properties and their contribution to land use determination [14,15,16]. The papers addressed the issues at different scales: regional scale [10,13,14,17]; watershed scale [9,12]; and field scale [11,17]. The GIS approach is indeed useful for implementing an analytical model at multiple scales, even for estimating soil erosion [18]. Finally, the published review [19] addressed the monitoring of salinization, another problem affecting more than 100 nations [20,21], and gave a general overview of the problem in China, one of the largest food producers with a critical problem in terms of self-sufficiency [22].

Author Contributions

Conceptualization, A.G., B.R. and M.E.; writing—original draft preparation, A.G., B.R. and M.E.; writing—review and editing, A.G., B.R. and M.E. All authors have read and agreed to the published version of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Rojas, R.V.; Achouri, M.; Maroulis, J.; Caon, L. Healthy Soils: A Prerequisite for Sustainable Food Security. Environ. Earth Sci. 2016, 75, 180. [Google Scholar] [CrossRef]
  2. Gardi, C.; Panagos, P.; Van Liedekerke, M.; Bosco, C.; De Brogniez, D. Land Take and Food Security: Assessment of Land Take on the Agricultural Production in Europe. J. Environ. Plan. Manag. 2015, 58, 898–912. [Google Scholar] [CrossRef]
  3. Gebrehiwot, K. Chapter 3—Soil Management for Food Security. In Natural Resources Conservation and Advances for Sustainability; Jhariya, M.K., Meena, R.S., Banerjee, A., Meena, S.N., Eds.; Elsevier: Amsterdam, The Netherlands, 2022; pp. 61–71. ISBN 978-0-12-822976-7. [Google Scholar]
  4. Borrelli, P.; Robinson, D.A.; Panagos, P.; Lugato, E.; Yang, J.E.; Alewell, C.; Wuepper, D.; Montanarella, L.; Ballabio, C. Land Use and Climate Change Impacts on Global Soil Erosion by Water (2015–2070). Proc. Natl. Acad. Sci. USA 2020, 117, 21994–22001. [Google Scholar] [CrossRef] [PubMed]
  5. Eekhout, J.P.C.; de Vente, J. Global Impact of Climate Change on Soil Erosion and Potential for Adaptation through Soil Conservation. Earth-Sci. Rev. 2022, 226, 103921. [Google Scholar] [CrossRef]
  6. Voluntary Guidelines for Sustainable Soil Management|Policy Support and Governance|Food and Agriculture Organization of the United Nations. Available online: https://www.fao.org/policy-support/tools-and-publications/resources-details/en/c/1027927/ (accessed on 29 August 2023).
  7. COMMUNICATION FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT, THE COUNCIL, THE EUROPEAN ECONOMIC AND SOCIAL COMMITTEE AND THE COMMITTEE OF THE REGIONS EU Soil Strategy for 2030 Reaping the Benefits of Healthy Soils for People, Food, Nature and Climate. 2021. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52021DC0699 (accessed on 29 August 2023).
  8. Ali, I.; Greifeneder, F.; Stamenkovic, J.; Neumann, M.; Notarnicola, C. Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data. Remote Sens. 2015, 7, 16398–16421. [Google Scholar] [CrossRef]
  9. Dapin, I.G.; Ella, V.B. GIS-Based Soil Erosion Risk Assessment in the Watersheds of Bukidnon, Philippines Using the RUSLE Model. Sustainability 2023, 15, 3325. [Google Scholar] [CrossRef]
  10. Ganga, A.; Elia, M.; D’Ambrosio, E.; Tripaldi, S.; Capra, G.F.; Gentile, F.; Sanesi, G. Assessing Landslide Susceptibility by Coupling Spatial Data Analysis and Logistic Model. Sustainability 2022, 14, 8426. [Google Scholar] [CrossRef]
  11. Giambastiani, Y.; Giusti, R.; Gardin, L.; Cecchi, S.; Iannuccilli, M.; Romanelli, S.; Bottai, L.; Ortolani, A.; Gozzini, B. Assessing Soil Erosion by Monitoring Hilly Lakes Silting. Sustainability 2022, 14, 5649. [Google Scholar] [CrossRef]
  12. Malav, L.C.; Yadav, B.; Tailor, B.L.; Pattanayak, S.; Singh, S.V.; Kumar, N.; Reddy, G.P.O.; Mina, B.L.; Dwivedi, B.S.; Jha, P.K. Mapping of Land Degradation Vulnerability in the Semi-Arid Watershed of Rajasthan, India. Sustainability 2022, 14, 10198. [Google Scholar] [CrossRef]
  13. Barrena-González, J.; Lavado Contador, J.F.; Pulido Fernández, M. Mapping Soil Properties at a Regional Scale: Assessing Deterministic vs. Geostatistical Interpolation Methods at Different Soil Depths. Sustainability 2022, 14, 10049. [Google Scholar] [CrossRef]
  14. Wang, Q.; Xie, J.; Yang, J.; Liu, P.; Chang, D.; Xu, W. A Model between Cohesion and Its Inter-Controlled Factors of Fine-Grained Sediments in Beichuan Debris Flow, Sichuan Province, China. Sustainability 2022, 14, 12832. [Google Scholar] [CrossRef]
  15. Arciniegas-Ortega, S.; Molina, I.; Garcia-Aranda, C. Soil Order-Land Use Index Using Field-Satellite Spectroradiometry in the Ecuadorian Andean Territory for Modeling Soil Quality. Sustainability 2022, 14, 7426. [Google Scholar] [CrossRef]
  16. Czigány, S.; Sarkadi, N.; Lóczy, D.; Cséplő, A.; Balogh, R.; Fábián, S.Á.; Ciglič, R.; Ferk, M.; Pirisi, G.; Imre, M.; et al. Impact of Agricultural Land Use Types on Soil Moisture Retention of Loamy Soils. Sustainability 2023, 15, 4925. [Google Scholar] [CrossRef]
  17. ul Haq, Y.; Shahbaz, M.; Asif, H.M.S.; Al-Laith, A.; Alsabban, W.H. Spatial Mapping of Soil Salinity Using Machine Learning and Remote Sensing in Kot Addu, Pakistan. Sustainability 2023, 15, 12943. [Google Scholar] [CrossRef]
  18. Wickenkamp, V.; Duttmann, R.; Mosimann, T. A Multiscale Approach to Predicting Soil Erosion on Cropland Using Empirical and Physically Based Soil Erosion Models in a Geographic Information System. In Soil Erosion: Application of Physically Based Models; Schmidt, J., Ed.; Environmental Science; Springer: Berlin/Heidelberg, Germany, 2000; pp. 109–134. ISBN 978-3-662-04295-3. [Google Scholar]
  19. Ma, Y.; Tashpolat, N. Current Status and Development Trend of Soil Salinity Monitoring Research in China. Sustainability 2023, 15, 5874. [Google Scholar] [CrossRef]
  20. Pereira, P.; Barceló, D.; Panagos, P. Soil and Water Threats in a Changing Environment. Environ. Res. 2020, 186, 109501. [Google Scholar] [CrossRef] [PubMed]
  21. Ondrasek, G.; Rengel, Z. Environmental Salinization Processes: Detection, Implications & Solutions. Sci. Total Environ. 2021, 754, 142432. [Google Scholar] [CrossRef] [PubMed]
  22. Huang, J.; Wei, W.; Cui, Q.; Xie, W. The Prospects for China’s Food Security and Imports: Will China Starve the World via Imports? J. Integr. Agric. 2017, 16, 2933–2944. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Ganga, A.; Elia, M.; Repe, B. Applications of GIS and Remote Sensing in Soil Environment Monitoring. Sustainability 2023, 15, 13705. https://doi.org/10.3390/su151813705

AMA Style

Ganga A, Elia M, Repe B. Applications of GIS and Remote Sensing in Soil Environment Monitoring. Sustainability. 2023; 15(18):13705. https://doi.org/10.3390/su151813705

Chicago/Turabian Style

Ganga, Antonio, Mario Elia, and Blaž Repe. 2023. "Applications of GIS and Remote Sensing in Soil Environment Monitoring" Sustainability 15, no. 18: 13705. https://doi.org/10.3390/su151813705

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