Predicting land use change base on GIS and remote sensing

  • Affiliations:

    Institute Technical Special Engineer, Military Technical Academy, 236 Hoang Quoc Viet Road, Ha Noi

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  • Received: 15th-Jan-2019
  • Revised: 20th-Mar-2020
  • Accepted: 29th-Apr-2020
  • Online: 28th-Apr-2020
Pages: 106 - 115
Views: 2142
Downloads: 1150
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Abstract:

The process of urbanization in Vietnam is developing rapidly, corresponding to the rapid changes in land use. Forecasting land use development assists policymakers in making accurate decisions in urban planning and development. The objective of this paper is to forecast and analyze land use development trends based on Landsat images in 2006, 2010, and 2016 with the help of remote sensing and GIS, a case study at Gio Linh district, Quang Tri province. The analysis results show that the rapid urbanization in Gio Linh district has led to a rapid decrease in the forest area from 28.14% compared to the total area, in 2016 to 13.5%, in 2026 to 2.67% and 2036 to 0.33%. The forecast processing was done on the neural network built-in module in the Selva version of IDRISI. The accuracy achieved is 80.5%.

How to Cite
Nguyen, N.Thu Thi and Tong, H.Thi 2020. Predicting land use change base on GIS and remote sensing (in Vietnamese). Journal of Mining and Earth Sciences. 61, 2 (Apr, 2020), 106-115. DOI:https://doi.org/10.46326/JMES.2020.61(2).12.
References

Nguyễn Đình Thúc (2000), Trí tuệ nhân tạo - mạng Nơ ron - Phương pháp và ứng dụng. Nhà xuất bản Giáo dục. 27.

Nguyễn Thị Thu Hiền (2015), Nghiên cứu biến động và đề xuất các giải pháp quản lý sử dụng đất hợp lý huyện Tiên Yên, tỉnh Quảng Ninh, Luận án Tiến sỹ Quản lý đất đai, Học viện Nông nghiệp Việt Nam. 

Nguyen Viet Nghia (2020), Building DEM for deep open-pit coal mines using DJI Inspire 2 (Vietnamese). Journal of Mining and Earth Sciences 61 (1), 1 - 10.

Phạm Hồng Luân, Phạm Trường Giang (2006), Nghiên cứu ứng dụng mạng noron nhân tạo hỗ trợ công tác chọn thầu thi công theo quy trình đấu thầu Việt Nam. Tạp chí Phát triển Khoa học và công nghệ 9(7).

Ramamohana Rao, P., and Suneetha, P., (2012), Land use oderling for sustainable rural development. International Journal of Science Environmentand Technology 1(5). 519 – 532.

Sundara Kumar, K., Harika, M., Sk., Aspiya begum, S. Yamini, K. Bala Krishna (2012), Land use and land cover change detection and urban sprawl analysis of vijayawada city using Multi-temporal landsat data. International Journal of Engineering and sciences 4(1). ISSN: 0975-5462.