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Abstract
Rapid change in land use and land cover (LULC) and unplanned urban expansion in Dhaka City, Bangladesh, receives continuous attention from local policymakers and the international community. This study employed a supervised classification procedure and postclassification change detection technique to estimate major changes between different LULC classes. The study revealed that built-up area increased significantly from 1989 to 2014. The total urban growth of 81.54 percent resulted in a substantial decrease in natural vegetation cover and agricultural land. In addition, water bodies have declined consistently over the last twenty-five years. The overall accuracy of LULC change maps produced from Landsat data ranged from 89.72 percent to 92.97 percent. The results should contribute to ongoing LULC information updates while forecasting possible future LULC change and sustainable development under greater population density.
在孟加拉达卡市, 土地使用与土地覆盖（LULC）的快速变迁与未经规划的城市扩张, 持续受到地方政策制定者与国际社会的关注。本研究运用受监督的分类过程以及分类后的变迁侦测技术, 评估不同的 LULC 分类间的重大变迁。本研究显示, 1989 年至 2014 年间, 建成环境面积有显着的增加。百分之八十一点五四的总体城市成长, 导致植被覆盖和农业用地的大幅减少。此外, 过去二十五年来水体持续降低。陆地卫星数据所生产的 LULC 变迁地图的总体正确率从百分之八十九点七二至百分之九十二点九七不等。研究结果应可对持续进行的LULC信息更新作出贡献, 同时预测在更大人口密度下 LULC 可能的未来变迁与可持续发展。
El rápido cambio en uso del suelo y cobertura de la tierra (LULC), y la expansión urbana sin planificación de Ciudad Dhaka, Bangladesh, reciben continua atención de los legisladores locales y de la comunidad internacional. Este estudio utilizó un procedimiento de clasificación supervisado y una técnica de detección de cambio posterior a la clasificación para estimar los cambios importantes entre diferentes clases de LULC. El estudio reveló que el área construida se incrementó significativamente de 1989 a 2014. El crecimiento urbano total del 81.54 por ciento resultó en una sustancial reducción de la cubierta de vegetación natural y de la tierra agrícola. Además de esto, los cuerpos de agua han declinado consistentemente durante los pasados veinticinco años. La exactitud general de los mapas de cambio de LULC producidos a partir de datos de Landsat oscilaron del 89.72 por ciento al 92.97 por ciento. Los resultados deben contribuir a las actualizaciones en curso de la información sobre los LULC, al tiempo que se pronostica el posible cambio de los LULC a futuro y un desarrollo sustentable bajo densidades más altas de la población.
Acknowledgments
We are thankful to the editor and reviewers for their constructive criticism and comments. We would like to express our heartfelt gratitude to Dr. David R. Butler, Texas State University, for his thoughtful reviews and suggestions. We are also grateful to Brendan Lavy, Thomas Shelton, and Paul Zunkel, Texas State University, for their comments and suggestions on an earlier version of the article.
Additional information
Notes on contributors
Niaz Morshed
NIAZ MORSHED is a PhD student in the Geography Department at Texas State University, San Marcos, TX 78666. E-mail: [email protected]. His research interests and specializations include GIScience, land use and land cover change dynamics, and human health and environment.
Charles Yorke
CHARLES YORKE is a GIS software developer for Lake Superior Consulting (LSC), Duluth, MN 55802. E-mail: [email protected]. LSC is a diversified engineering and consulting company providing integrity management solutions for the energy industry. He has coauthored articles in both computer science and GIS fields.
Qiaofeng Zhang
QIAOFENG ZHANG is a Professor in the Department of Geosciences, Murray State University, Murray, KY 42071. E-mail: [email protected]. Her research interests include land cover and land use change monitoring and modeling, GIS analysis of urban development, and information extraction from remotely sensed data.