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"3S" Technology in Land Resource Management

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DOI: 10.23977/pree.2024.050108 | Downloads: 5 | Views: 101

Author(s)

Haoqi Chang 1,2, Taoqian Xie 3

Affiliation(s)

1 College of Urban and Environmental Sciences, Central China Normal University, Wuhan, Hubei, 430000, China
2 Warner College of Natural Resources, Colorado State University, Fort Collins, CO 80523, USA
3 School of Public Administration, Central China Normal University, Wuhan, Hubei, 430000, China

Corresponding Author

Taoqian Xie

ABSTRACT

Land resources are an important foundation for the survival and development of human society, but the development and utilization of land require scientific planning and management to achieve sustainable development. "3S" technology, namely remote sensing (Remote Sensing), Geographic Information System (GIS), and Global Positioning System (GPS), has advantages such as wide data coverage, high data acquisition accuracy, and fast analysis speed, and has important application value in land resource management (LRM). This article takes land as the research area, uses remote sensing and GIS technology to obtain high-resolution remote sensing image data and related GIS data of the land, generates a high-precision map of the land, and then uses GIS tools to classify land use types, calculate land area and characteristics. At the same time, soil quality and terrain elevation of the land can be analyzed, and spatial variation patterns can be recorded. Finally, this article applies "3S" technology for sustainable land use planning and management of the land, achieving scientific regulation of land resources. The research results indicate that "3S" technology has outstanding value in the process of land resource management. Under its management, the highest land yield can reach 5499 kilograms, the lowest land use efficiency can reach 80%, and the highest environmental impact index can reach 9. Therefore, "3S" technology can play an important role in sustainable land use planning and land resource management.

KEYWORDS

Remote Sensing, Geographic Information Systems, Global Positioning System, Land Resource Management

CITE THIS PAPER

Haoqi Chang, Taoqian Xie, "3S" Technology in Land Resource Management. Population, Resources & Environmental Economics (2024) Vol. 5: 52-59. DOI: http://dx.doi.org/10.23977/pree.2024.050108.

REFERENCES

[1] Luo Yu. Analysis of land use transformation and land resource management .Low carbon World, 2023, 13(9): 121-123
[2] Zhang Guoman. Suggestions for measures to strengthen land resource management and realize the conservation of intensive land use .Smart Agriculture Guide, 2023, 3(14):60-63
[3] Yang Song. Comprehensive planning of land resource management and land use in the new period .China Kitchen and Bathroom, 2023, 22(5):110-112
[4] Xiang Zhi. Analysis on land use transformation and land resource management in the new period. Nonferrous Metals, 2023, 46(4):109-110
[5] Chen Hong.Research and design of county-level land resource management system based on WebGIS .Information and computers, 2023, 35(9):114-117
[6] Mugambiwa S S, Makhubele J C. Indigenous knowledge systems based climate governance in water and land resource management in rural Zimbabwe. Journal of Water and Climate Change, 2021, 12(5): 2045-2054.
[7] Beillouin D, Cardinael R, Berre D, et al. A global overview of studies about land management, land‐use change, and climate change effects on soil organic carbon. Global change biology, 2022, 28(4): 1690-1702.
[8] Mesfin S, Gebresamuel G, Haile M, et al. Modelling spatial and temporal soil organic carbon dynamics under climate and land management change scenarios, northern Ethiopia. European Journal of Soil Science, 2021, 72(3): 1298-1311.
[9] Hurley P, Lyon J, Hall J, et al. Co‐designing the environmental land management scheme in England: The why, who and how of engaging ‘harder to reach’ stakeholders. People and Nature, 2022, 4(3): 744-757.
[10] Nziguheba G, Adewopo J, Masso C, et al. Assessment of sustainable land use: linking land management practices to sustainable land use indicators. International Journal of Agricultural Sustainability, 2022, 20(3): 265-288.
[11] Duffy C, Prudhomme R, Duffy B, et al. Randomized national land management strategies for net-zero emissions. Nature Sustainability, 2022, 5(11): 973-980.
[12] DeFries R, Ahuja R, Friedman J, et al. Land management can contribute to net zero. Science, 2022, 376(6598): 1163-1165.
[13] Mikha M M, Johnson J M F, et al. Land management effects on wet aggregate stability and carbon content. Soil Science Society of America Journal, 2021, 85(6): 2149-2168.
[14] Bagwan W A, Gavali R S, Maity A. Quantifying soil organic carbon (SOC) density and stock in the Urmodi River watershed of Maharashtra, India: implications for sustainable land management. Journal of Umm Al-Qura University for Applied Sciences, 2023, 9(4): 548-564.
[15] Biswal D. Nematodes as ghosts of land use past: elucidating the roles of soil nematode community studies as indicators of soil health and land management practices. Applied Biochemistry and Biotechnology, 2022, 194(5): 2357-2417.
[16] Ibrahim A S, Akanbang B A A, Laube W. Sustaining decentralized collaborative governance arrangements in Africa: A case study of land management committees in the Upper West Region, Ghana. GeoJournal, 2022, 87(2): 641-660.
[17] Dzurume T, Dube T, Thamaga K H, et al. Use of multispectral satellite data to assess impacts of land management practices on wetlands in the Limpopo Transfrontier River Basin, South Africa. South African Geographical Journal, 2022, 104(2): 193-212.
[18] Mansergh I M, Cheal D C, Burch J W, et al. Something went missing: cessation of Traditional Owner land management and rapid mammalian population collapses in the semi-arid region of the Murray–Darling Basin, southeastern Australia. Proceedings of the Royal Society of Victoria, 2022, 134(1): 45-84.
[19] Chen W, Zhu K, Wu Q, et al. Adaptability evaluation of human settlements in Chengdu based on 3S technology. Environmental Science and Pollution Research, 2022, 29(4): 5988-5999.
[20] Chen T, Guo R, Yan Q, et al. Land management contributes significantly to observed vegetation browning in Syria during 2001–2018. Biogeosciences, 2022, 19(5): 1515-1525.  
[21] Fawanz Almunlihi. Water Quality Monitoring and Early Warning Technology of Zebrafish Behavior Based on 3s Technology. Academic Journal of Environmental Biology, 2021, 2(3): 39-46.

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