Assessement of land cover change by using remotely-sensed data in Le Thuy district, Quang Binh province during 2010–2020
Vol. 130 No. 3D (2021), Original Article
Vol. 130 No. 3D (2021)

Assessement of land cover change by using remotely-sensed data in Le Thuy district, Quang Binh province during 2010–2020

Original Article
https://doi.org/10.26459/hueunijard.v130i3D.6223
Published 2021-11-05
Pham Huu Ty
University of Agriculture and Forestry, Hue University, 102 Phung Hung St., Hue, Vietnam
Vo Manh Quyen
Le Thuy district People's Committee, Kien Giang, Le Thuy, Quang Binh, Vietnam
Nguyen Ngoc Thanh
University of Agriculture and Forestry, Hue University, 102 Phung Hung St., Hue, Vietnam
PDF (Vietnamese)

Keywords

viễn thám
biến động lớp phủ mặt đất
Lệ Thủy landsat images
land cover change
Le Thuy
Quang Binh

Abstract

The change in land use and land cover is relatively different because land use is identified by its purpose, while the land cover is the status of land use in real time. It is difficult to assess and monitor land use changes in a large area with traditional methods. In contrast, the assistance of remote monitoring means, such as remote sensing images from the satellites, is required. This study applies Landsat images and GIS to assess the variation in land cover types in Le Thuy district, Quang Binh province, in 2010, 2015, and 2020. The result indicates that using remote sensing and GIS data produced land cover maps with a Kappa coefficient of 0.71 and 0.89. The land cover of non-agricultural land use increased during 2010–2020, while that of agricultural land use decreased. A positive trend of forest land cover in sandy areas near the sea was observed from 2010 to 2020.

https://doi.org/10.26459/hueunijard.v130i3D.6223
PDF (Vietnamese)

References

  1. Ademola K. Braimoh, M. Osaki (2010), Land-use change and environmental sustainability. Sustainability Science, 5, DOI: 10.1007/s11625-009-0092-2.
  2. Walter Musakwa, Adriaan Van Niekerk (2013), Implications of land use change for the sustainability of urban areas: A case study of Stellenbosch, South Africa, Cities, 32, DOI: 10.1016/j.cities.2013.01.004.
  3. Amna Butt, Rabia Shabbir, Sheikh Saeed Ahmad, Neelam Aziz (2015), Land use change mapping and analysis using Remote Sensing and GIS: A case study of Simly watershed, Islamabad, Pakistan, The Egyptian Journal of Remote Sensing and Space Science, 18(2), DOI: 10.1016/j.ejrs.2015.07.003.
  4. Kumar N, Yamac S.S, Velmurugan A (2015), Applications of Remote Sensing and GIS in Natural Resource Management, Journal of the Andaman Science Association, 20.
  5. Yanbo Huang, Zhong-xin Chen, Tao Yu, Xiang-zhi Huang, Xing-Fa Gu (2018), Agricultural remote sensing big data: Management and applications, Journal of Integrative Agriculture, 17, DOI: 10.1016/S2095-3119(17)61859-8.
  6. Kamrul Islam, Mohammed Jashimuddin, Biswajit Nath, Tapan Kumar Nath (2018), Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh, The Egyptian Journal of Remote Sensing and Space Science, 21, DOI: 10.1016/j.ejrs.2016.12.005.
  7. Nabajit Hazarika, Apurba Kumar Das, Suranjana Bhaswati Borah (2015), Assessing land-use changes driven by river dynamics in chronically flood affected Upper Brahmaputra plains, India, using RS-GIS techniques, The Egyptian Journal of Remote Sensing and Space Science, 18, DOI: 10.1016/j.ejrs.2015.02.001.
  8. Chao Yang, Guofeng Wu, Kai Ding, Tiezhu Shi, Qingquan Li, Jinliang Wang (2017), Improving Land Use/Land Cover Classification by Integrating Pixel Unmixing and Decision Tree Methods, Remote Sensing, 9, DOI: 10.3390/rs9121222.
  9. Dušan Jovanović, Miro Govedarica, Filip Sabo, Željko Bugarinović, Olivera Novović, Teo Beker, Miloš Lauter (2015), Land Cover change detection by using Remote Sensing – A Case Study of Zlatibor (Serbia), Geographica Pannonica, 19.
  10. Narumasa Tsutsumida, Alexis J. Comber (2015), Measures of spatio-temporal accuracy for time series land cover data, International Journal of Applied Earth Observation and Geoinformation, 41, DOI: 10.1016/j.jag.2015.04.018.
  11. Nguyễn Thị Thu Hiền, Phạm Vọng Thành, Nguyễn Khắc Thời, Đánh giá biến động sử dụng đất/lớp phủ huyện Tiên Yên, tỉnh Quảng Ninh giai đoạn 2000–2010, Tạp chí Khoa học và Phát triển, 1(12) 43–51.
  12. Norida Maryantika, Chinsu Lin (2017), Exploring changes of land use and mangrove distribution in the economic area of Sidoarjo District, East Java using multi-temporal Landsat images, Information Processing in Agriculture, 4. DOI: 10.1016/j.inpa.2017.06.003.
  13. Phạm Quang Vinh và Vũ Thị Kim Dung, Ứng dụng công nghệ viễn thám và GIS đánh giá biến động tài nguyên rừng ở tỉnh Điện Biên, Tạp chí Khoa học và Công nghệ Việt Nam, 4(3).
  14. Trần Thu Hà, Phùng Minh Tám, Phạm Thanh Quế, Lê Thị Giang, Ứng dụng GIS và Viễn thám trong giám sát biến động diện tích rừng huyện Cao Phong-tỉnh Hòa Bình giai đoạn 2005–2015, Tạp chí chính sách và kinh tế, 4, 67.
  15. UBND Tỉnh Quảng Bình (2018), Quyết định phê duyệt chương trình phát triển đô thị thị trấn Kiến Giang mở rộng, huyện Lệ Thủy, tỉnh Quảng Bình giai đoạn 2017–2025, định hướng đến năm 2035, QĐ 1414/QĐ-UBND ngày 02/05/2018.