Extracting Land-Cover Information from Landsat Satellite Images by the Decision-Tree Model to Generate a Land-Use Map in Ba Tri District, Ben Tre Province

Thi To Ngan Nguyen; Tran Hoai Hieu Truong; Thi Phuong Uyen Ngo; Thi Lan Thi Nguyen; Kim Phuong Lieu

doi:doi:10.11648/j.rd.20230403.15

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Extracting Land-Cover Information from Landsat Satellite Images by the Decision-Tree Model to Generate a Land-Use Map in Ba Tri District, Ben Tre Province

Thi To Ngan Nguyen, Tran Hoai Hieu Truong, Thi Phuong Uyen Ngo, Thi Lan Thi Nguyen, Kim Phuong Lieu

Published in Research & Development (Volume 4, Issue 3)

Received: 31 July 2023 Accepted: 22 August 2023 Published: 31 August 2023

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Abstract

Monitoring the distribution of land-cover change plays a very important role in making decisions about land-use activities of the environmental management. Ben Tre is a new developing city in the Mekong Delta, an average topographical elevation of which is less than five meters across the province. This is one of the areas that is quite sensitive to fluctuations in mean sea level rise. In the current context, the effects of global climate change on the natural environment have become more and more obvious, especially for coastal plain areas with relatively low terrain elevation. Therefore, it is necessary to generate and update constantly land-cover or land-use maps for coastal plain areas such as Ben Tre province. Based on the land-cover or land-use maps produced over many stages, environmental managers could monitor the changing directions of the distribution of land-cover and then make sound and rational decisions about land-use activities. The main purpose of this topic is to study and build a decision tree model which can extract the real land-cover information from Landsat images in the most effective way to generate a land-cover or land-use map. Thereby, it is possible to reduce the costs of field trips during the mapping process. Research results show that the accuracy of modelling interpretation on different objects ranges from 73% to 97%. The average accuracy of the prediction results across the region reached 86.7%.

Published in	Research & Development (Volume 4, Issue 3)
DOI	10.11648/j.rd.20230403.15
Page(s)	102-110
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Land-Cover, Land-Use, Landsat Images, Ba Tri, Decision Tree

References

[1]	Assembly, V. N. Law of the landuse. 2013.
[2]	Baumann, M., T. Kuemmerle, M. Elbakidze, M. Ozdogan, V. C. Radeloff, N. S. Keuler, et al. (2011). Patterns and drivers of post-socialist farmland abandonment in Western Ukraine. Land Use Policy. 28 (3): p. 552-562.
[3]	Binh, T. N. K. D., N. Vromant, N. T. Hung, L. Hens and E. K. Boon. (2005). Land Cover Changes Between 1968 and 2003 In Cai Nuoc, Ca Mau Peninsula, Vietnam. Environment, Development and Sustainability. 7 (4): p. 519-536.
[4]	Center), B. T. G. B. T. P. I. P. Potential information – investment opportunities in Ba Tri district. 2014 [cited 2016 29 June]; Available from: http://ipabentre.gov.vn/vi/news/Huyen-Ba-Tri/Thong-tin-tiem-nang-co-hoi-dau-tu-huyen-Ba-Tri-302/.
[5]	Chen, C. F., N.-T. Son and L. Chang. (2012). Monitoring of rice cropping intensity in the upper Mekong Delta, Vietnam using time-series MODIS data. Advances in Space Research - ADV SPACE RES. 49.
[6]	Feng, L. (2009). Applying remote sensing and GIS on monitoring and measuring urban sprawl. A case study of China. Revista Internacional Sostenibilidad, Tecnología y Humanismo, (4): p. 47-56.
[7]	Finance, M. o. N., Regulations on collection rates, regimes of collection, payment, management and use of fees for exploitation and use of national remote sensing data, M. o. N. Finance, Editor. 2012: Government portal.
[8]	Gao, B.-C. (1996). NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space. Remote sensing of environment. 58 (3): p. 257-266.
[9]	Hiền, N. T. T., P. V. Thành and N. K. Thời. (2014). Assessing Land Use and Land Cover Change: A Case of Tien Yen District, Quang Ninh Province from 2000 to 2010. Journal Science and Development, Vietnam. 12 (1): p. 8.
[10]	Interior, U. S. D. o. t. Landsat Data Dictionary Image Quality Landsat 8 January 2015 [cited 2016 July; Available from: https://lta.cr.usgs.gov/landsat_dictionary.html - image_quality_landsat_8.
[11]	Irons, N. O. J. R. Landsat 8 [cited 2016 29 June]; Available from: http://landsat.gsfc.nasa.gov/?p=3186.
[12]	Kriegler FJ, Malila WA, Nalepka RF and R. W. (1969). Preprocessing transformations and their effect on multispectral recognition. Remote Sensing Environment. VI: p. 35.
[13]	Liu, J., M. Liu, H. Tian, D. Zhuang, Z. Zhang, W. Zhang, et al. (2005). Spatial and temporal patterns of China's cropland during 1990–2000: an analysis based on Landsat TM data. Remote sensing of Environment. 98 (4): p. 442-456.
[14]	Liu, S. A., X. Li, D. Chen, D. Yuanqiang, J. Hanyu and L. Zhang. (2020). Understanding the land use/land cover dynamics and impacts of human activities in the Mekong Delta over the last 40 years. Global Ecology and Conservation. 22: p. e00991.
[15]	Nguyen, D. B., K. Clauss, S. Cao, V. Naeimi, C. Kuenzer and W. Wagner. (2015). Mapping Rice Seasonality in the Mekong Delta with Multi-Year Envisat ASAR WSM Data. Remote Sensing. 7 (12): p. 15868-15893.
[16]	Nguyen, D. B., A. Gruber and W. Wagner. (2016). Mapping rice extent and cropping scheme in the Mekong Delta using Sentinel-1A data. Remote Sensing Letters. 7 (12): p. 1209-1218.
[17]	Nguyen, H., C. A. J. M. Bie, A. Ali, E. Smaling and C. Hoanh. (2012). Mapping the irrigated rice cropping patterns of the Mekong delta, Vietnam, through hyper-temporal SPOT NDVI image analysis. International Journal of Remote Sensing. 33: p. 415-434.
[18]	Nguyen, H., T. H. Trung, D. C. Phan, T. Anh Tran, N. Thi Hai Ly, K. N. Nasahara, et al. (2022). Transformation of rural landscapes in the Vietnamese Mekong Delta from 1990 to 2019: a spatio-temporal analysis. Geocarto International: p. 1-23.
[19]	Nguyễn, T. T. N. and T. P. U. Ngô, Using remote sensing images and GIS to generate a map of sedimentary geomorphological units and survey shoreline changes in Ben Tre province. 2014, University of Science HCMC: Falcuty of Geology.
[20]	Phan, D. C., T. H. Trung, V. T. Truong, T. Sasagawa, T. P. T. Vu, D. T. Bui, et al. (2021). First comprehensive quantification of annual land use/cover from 1990 to 2020 across mainland Vietnam. Scientific Reports. 11 (1): p. 9979.
[21]	Phan, H., T. Le Toan and A. Bouvet. (2021). Understanding Dense Time Series of Sentinel-1 Backscatter from Rice Fields: Case Study in a Province of the Mekong Delta, Vietnam. Remote Sensing. 13 (5): p. 921.
[22]	Phung, H.-P., L.-D. Nguyen, T. Nguyen-Huy, T. Le-Toan and A. Apan. (2020). Monitoring rice growth status in the Mekong Delta, Vietnam using multitemporal Sentinel-1 data. Journal of Applied Remote Sensing. 14 (1): p. 014518.
[23]	Safavian, S. R. and D. Landgrebe. (1990). A survey of decision tree classifier methodology.
[24]	Sakamoto, T., P. Cao Van, A. Kotera, K. Nguyen Duy and M. Yokozawa. (2009). Detection of Yearly Change in Farming Systems in the Vietnamese Mekong Delta from MODIS Time-Series Imagery. Japan Agricultural Research Quarterly: JARQ. 43 (3): p. 173-185.
[25]	Sakamoto, T., C. van Phung, A. Kotera, K. Nguyễn Duy and M. Yokozawa. (2009). Detection of Yearly Change in Farming Systems in the Vietnamese Mekong Delta from MODIS Time-Series Imagery. JARQ-Jpn. Agric. Res. Quart. 43: p. 173-185.
[26]	Shalaby, A. and R. Tateishi. (2007). Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt. Applied Geography. 27 (1): p. 28-41.
[27]	Son, N.-T., C.-F. Chen, C.-R. Chen, H.-N. Duc and L.-Y. Chang. (2014). A Phenology-Based Classification of Time-Series MODIS Data for Rice Crop Monitoring in Mekong Delta, Vietnam. Remote Sensing. 6 (1): p. 135-156.
[28]	Thi-To-Ngan, N. and L. Cheng-Chien. (2014). Combining bivariate and multivariate statistical analyses to assess landslide susceptibility in the Chen-Yu-Lan watershed, Nantou, Taiwan. Sustainable Environment Research. 24 (4).
[29]	Toan, L. T. and T. Đ. Minh. (2005). Application of remote sensing and GIS technology to research and management of land use in Chau Khe commune, Con Cuong district, Nghe An province.
[30]	Tran, H., T. Tran and M. Kervyn. (2015). Dynamics of Land Cover/Land Use Changes in the Mekong Delta, 1973–2011: A Remote Sensing Analysis of the Tran Van Thoi District, Ca Mau Province, Vietnam. Remote Sensing. 7 (3): p. 2899-2925.
[31]	Vietnam, E. Esri introduces Landsat satellite data to the world. Free global multi-temporal, multi-spectrum photo service. 2011 [cited 2016 7 July]; Available from: http://www.esrivn.com/vi/News/m1541/esri-gioi-thieu-du-lieu-ve-tinh-landsat-toi-toan-the-gioi.html.
[32]	Vu, H. T. D., D. D. Tran, A. Schenk, C. P. Nguyen, H. L. Vu, P. Oberle, et al. (2022). Land use change in the Vietnamese Mekong Delta: New evidence from remote sensing. Science of The Total Environment. 813: p. 151918.
[33]	Vu, H. T. D., H. L. Vu, P. Oberle, S. Andreas, P. C. Nguyen and D. D. Tran. (2022). Datasets of land use change and flood dynamics in the vietnamese mekong delta. Data in Brief. 42: p. 108268.
[34]	Yuan, F., K. E. Sawaya, B. C. Loeffelholz and M. E. Bauer. (2005). Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing. Remote sensing of Environment. 98 (2): p. 317-328.
[35]	Zhang, Z., S. Tian and W. Dang. (2011). Study of Wetland Information Enhancement Approach Based on Landsat Etm Data. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 3825: p. 150-152.

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APA Style

Thi To Ngan Nguyen, Tran Hoai Hieu Truong, Thi Phuong Uyen Ngo, Thi Lan Thi Nguyen, Kim Phuong Lieu. (2023). Extracting Land-Cover Information from Landsat Satellite Images by the Decision-Tree Model to Generate a Land-Use Map in Ba Tri District, Ben Tre Province. Research & Development, 4(3), 102-110. https://doi.org/10.11648/j.rd.20230403.15

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ACS Style

Thi To Ngan Nguyen; Tran Hoai Hieu Truong; Thi Phuong Uyen Ngo; Thi Lan Thi Nguyen; Kim Phuong Lieu. Extracting Land-Cover Information from Landsat Satellite Images by the Decision-Tree Model to Generate a Land-Use Map in Ba Tri District, Ben Tre Province. Res. Dev. 2023, 4(3), 102-110. doi: 10.11648/j.rd.20230403.15

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AMA Style

Thi To Ngan Nguyen, Tran Hoai Hieu Truong, Thi Phuong Uyen Ngo, Thi Lan Thi Nguyen, Kim Phuong Lieu. Extracting Land-Cover Information from Landsat Satellite Images by the Decision-Tree Model to Generate a Land-Use Map in Ba Tri District, Ben Tre Province. Res Dev. 2023;4(3):102-110. doi: 10.11648/j.rd.20230403.15

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@article{10.11648/j.rd.20230403.15,
  author = {Thi To Ngan Nguyen and Tran Hoai Hieu Truong and Thi Phuong Uyen Ngo and Thi Lan Thi Nguyen and Kim Phuong Lieu},
  title = {Extracting Land-Cover Information from Landsat Satellite Images by the Decision-Tree Model to Generate a Land-Use Map in Ba Tri District, Ben Tre Province},
  journal = {Research & Development},
  volume = {4},
  number = {3},
  pages = {102-110},
  doi = {10.11648/j.rd.20230403.15},
  url = {https://doi.org/10.11648/j.rd.20230403.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.rd.20230403.15},
  abstract = {Monitoring the distribution of land-cover change plays a very important role in making decisions about land-use activities of the environmental management. Ben Tre is a new developing city in the Mekong Delta, an average topographical elevation of which is less than five meters across the province. This is one of the areas that is quite sensitive to fluctuations in mean sea level rise. In the current context, the effects of global climate change on the natural environment have become more and more obvious, especially for coastal plain areas with relatively low terrain elevation. Therefore, it is necessary to generate and update constantly land-cover or land-use maps for coastal plain areas such as Ben Tre province. Based on the land-cover or land-use maps produced over many stages, environmental managers could monitor the changing directions of the distribution of land-cover and then make sound and rational decisions about land-use activities. The main purpose of this topic is to study and build a decision tree model which can extract the real land-cover information from Landsat images in the most effective way to generate a land-cover or land-use map. Thereby, it is possible to reduce the costs of field trips during the mapping process. Research results show that the accuracy of modelling interpretation on different objects ranges from 73% to 97%. The average accuracy of the prediction results across the region reached 86.7%.},
 year = {2023}
}

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TY  - JOUR
T1  - Extracting Land-Cover Information from Landsat Satellite Images by the Decision-Tree Model to Generate a Land-Use Map in Ba Tri District, Ben Tre Province
AU  - Thi To Ngan Nguyen
AU  - Tran Hoai Hieu Truong
AU  - Thi Phuong Uyen Ngo
AU  - Thi Lan Thi Nguyen
AU  - Kim Phuong Lieu
Y1  - 2023/08/31
PY  - 2023
N1  - https://doi.org/10.11648/j.rd.20230403.15
DO  - 10.11648/j.rd.20230403.15
T2  - Research & Development
JF  - Research & Development
JO  - Research & Development
SP  - 102
EP  - 110
PB  - Science Publishing Group
SN  - 2994-7057
UR  - https://doi.org/10.11648/j.rd.20230403.15
AB  - Monitoring the distribution of land-cover change plays a very important role in making decisions about land-use activities of the environmental management. Ben Tre is a new developing city in the Mekong Delta, an average topographical elevation of which is less than five meters across the province. This is one of the areas that is quite sensitive to fluctuations in mean sea level rise. In the current context, the effects of global climate change on the natural environment have become more and more obvious, especially for coastal plain areas with relatively low terrain elevation. Therefore, it is necessary to generate and update constantly land-cover or land-use maps for coastal plain areas such as Ben Tre province. Based on the land-cover or land-use maps produced over many stages, environmental managers could monitor the changing directions of the distribution of land-cover and then make sound and rational decisions about land-use activities. The main purpose of this topic is to study and build a decision tree model which can extract the real land-cover information from Landsat images in the most effective way to generate a land-cover or land-use map. Thereby, it is possible to reduce the costs of field trips during the mapping process. Research results show that the accuracy of modelling interpretation on different objects ranges from 73% to 97%. The average accuracy of the prediction results across the region reached 86.7%.
VL  - 4
IS  - 3
ER  -

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Author Information

Thi To Ngan Nguyen

Faculty of Geology, VNUHCM-University of Science, Ho Chi Minh City, Vietnam
Tran Hoai Hieu Truong

Faculty of Geology, VNUHCM-University of Science, Ho Chi Minh City, Vietnam
Thi Phuong Uyen Ngo

Faculty of Geology, VNUHCM-University of Science, Ho Chi Minh City, Vietnam
Thi Lan Thi Nguyen

Faculty of Biology, VNUHCM-University of Science, Ho Chi Minh City, Vietnam
Kim Phuong Lieu

Ho Chi Minh City Institute of Resources Geography, Tay Nguyen Institute of Scientific Research, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam

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APA Style

Thi To Ngan Nguyen, Tran Hoai Hieu Truong, Thi Phuong Uyen Ngo, Thi Lan Thi Nguyen, Kim Phuong Lieu. (2023). Extracting Land-Cover Information from Landsat Satellite Images by the Decision-Tree Model to Generate a Land-Use Map in Ba Tri District, Ben Tre Province. Research & Development, 4(3), 102-110. https://doi.org/10.11648/j.rd.20230403.15

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ACS Style

Thi To Ngan Nguyen; Tran Hoai Hieu Truong; Thi Phuong Uyen Ngo; Thi Lan Thi Nguyen; Kim Phuong Lieu. Extracting Land-Cover Information from Landsat Satellite Images by the Decision-Tree Model to Generate a Land-Use Map in Ba Tri District, Ben Tre Province. Res. Dev. 2023, 4(3), 102-110. doi: 10.11648/j.rd.20230403.15

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AMA Style

Thi To Ngan Nguyen, Tran Hoai Hieu Truong, Thi Phuong Uyen Ngo, Thi Lan Thi Nguyen, Kim Phuong Lieu. Extracting Land-Cover Information from Landsat Satellite Images by the Decision-Tree Model to Generate a Land-Use Map in Ba Tri District, Ben Tre Province. Res Dev. 2023;4(3):102-110. doi: 10.11648/j.rd.20230403.15

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@article{10.11648/j.rd.20230403.15,
  author = {Thi To Ngan Nguyen and Tran Hoai Hieu Truong and Thi Phuong Uyen Ngo and Thi Lan Thi Nguyen and Kim Phuong Lieu},
  title = {Extracting Land-Cover Information from Landsat Satellite Images by the Decision-Tree Model to Generate a Land-Use Map in Ba Tri District, Ben Tre Province},
  journal = {Research & Development},
  volume = {4},
  number = {3},
  pages = {102-110},
  doi = {10.11648/j.rd.20230403.15},
  url = {https://doi.org/10.11648/j.rd.20230403.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.rd.20230403.15},
  abstract = {Monitoring the distribution of land-cover change plays a very important role in making decisions about land-use activities of the environmental management. Ben Tre is a new developing city in the Mekong Delta, an average topographical elevation of which is less than five meters across the province. This is one of the areas that is quite sensitive to fluctuations in mean sea level rise. In the current context, the effects of global climate change on the natural environment have become more and more obvious, especially for coastal plain areas with relatively low terrain elevation. Therefore, it is necessary to generate and update constantly land-cover or land-use maps for coastal plain areas such as Ben Tre province. Based on the land-cover or land-use maps produced over many stages, environmental managers could monitor the changing directions of the distribution of land-cover and then make sound and rational decisions about land-use activities. The main purpose of this topic is to study and build a decision tree model which can extract the real land-cover information from Landsat images in the most effective way to generate a land-cover or land-use map. Thereby, it is possible to reduce the costs of field trips during the mapping process. Research results show that the accuracy of modelling interpretation on different objects ranges from 73% to 97%. The average accuracy of the prediction results across the region reached 86.7%.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Extracting Land-Cover Information from Landsat Satellite Images by the Decision-Tree Model to Generate a Land-Use Map in Ba Tri District, Ben Tre Province
AU  - Thi To Ngan Nguyen
AU  - Tran Hoai Hieu Truong
AU  - Thi Phuong Uyen Ngo
AU  - Thi Lan Thi Nguyen
AU  - Kim Phuong Lieu
Y1  - 2023/08/31
PY  - 2023
N1  - https://doi.org/10.11648/j.rd.20230403.15
DO  - 10.11648/j.rd.20230403.15
T2  - Research & Development
JF  - Research & Development
JO  - Research & Development
SP  - 102
EP  - 110
PB  - Science Publishing Group
SN  - 2994-7057
UR  - https://doi.org/10.11648/j.rd.20230403.15
AB  - Monitoring the distribution of land-cover change plays a very important role in making decisions about land-use activities of the environmental management. Ben Tre is a new developing city in the Mekong Delta, an average topographical elevation of which is less than five meters across the province. This is one of the areas that is quite sensitive to fluctuations in mean sea level rise. In the current context, the effects of global climate change on the natural environment have become more and more obvious, especially for coastal plain areas with relatively low terrain elevation. Therefore, it is necessary to generate and update constantly land-cover or land-use maps for coastal plain areas such as Ben Tre province. Based on the land-cover or land-use maps produced over many stages, environmental managers could monitor the changing directions of the distribution of land-cover and then make sound and rational decisions about land-use activities. The main purpose of this topic is to study and build a decision tree model which can extract the real land-cover information from Landsat images in the most effective way to generate a land-cover or land-use map. Thereby, it is possible to reduce the costs of field trips during the mapping process. Research results show that the accuracy of modelling interpretation on different objects ranges from 73% to 97%. The average accuracy of the prediction results across the region reached 86.7%.
VL  - 4
IS  - 3
ER  -

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