Sustainable Urban Planning Challenges in the Peri-urban Landscape: Evaluating LULC Dynamics and Policy Effectiveness of Chattogram Metropolitan Region, Bangladesh DOI Open Access
Md Mohiuddin Mamun, Steffen Nijhuis, Caroline Newton

et al.

Published: July 2, 2024

Understanding the dynamics of land use and cover (LULC) change in today's context rapid urbanization is critical for sustainable urban planning environmental conservation. Therefore, research aim to understand LULC changes Chattogram Metropolitan Area assess policy implications these development. Through a comparative analysis maps two periods (1997–2007; 2007–2017), we investigated transformation detailed zone before after area plan (DAP) approval. Using mixed-method approach integrating quantitative data with analysis, elucidated impacts trends on local ecosystems—specifically conversion forest waterscape use. The findings reveal significant forested areas peri-urban landscapes, highlighting urgent need interventions that focus areas. study further critiques DAP's effectiveness, revealing disconnect between regional implementation outcomes. This proposes validated, scalable framework master plans adapts complex socio-ecological contexts rapidly urbanizing regions.

Language: Английский

A potential toxicological risk assessment of heavy metals and pesticides in irrigated rice cultivars near industrial areas of Dhaka, Bangladesh DOI
Muhammad Nurul Huda, Mohammad Harun‐Ur‐Rashid,

Anowar Hosen

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(9)

Published: Aug. 7, 2024

Language: Английский

Citations

19
The impact of urbanization on land use land cover change using geographic information system and remote sensing: a case of Mizan Aman City Southwest Ethiopia DOI Creative Commons
Addis Bikis, Mastawesha Misganaw Engdaw, Digvijay Pandey

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 8, 2025

Land use land cover change due to urbanization is the prime driving forces environmental problem and surface temperature. The gap of study lack awareness stakeholders regarding protection native forests, fruit trees, BEBEKA coffee plantations. Deforestation for urban functions, including timber production, construction materials, firewood, adversely affects environment. aim this was analyze effect on Use Cover Change (LULCC) at Mizan Aman city, southwest Ethiopia from 1992 2022 using geographic information systemand remote sensing technique. employed systematic sampling household surveys high-resolution techniques identify impact temperature change. Sample survey focused family size, education level, parcel, year house, type employment monthly income. LULC classification were based eight class (settlement, dense forest, moderate sparse closed grassland, open shrub land, annual crop land). Preprocessing, images accuracy assessment tested separately kappa coefficient. analysis incorporates factor graph optimization ambiguity resolution. results indicated that cumulative 81.52%, 82.96%, 85.41% 84.46% coefficient 82.41%, 84.86%, 89.45% 88.76%% 1992, 2002, 2012 respectively. This research showed forest significantly decreased by 68.96%, 24.60%, 31.36% 8.28% respectively in last 30 years. Urban settlement increased alarming rate demand housing, infrastructure manufacturing. Therefore, planners must prioritize sustainable management, integrated zoning, active community involvement order protect against unsustainable changes cover. For future research, incorporating methodologies such as multi-source imaging will help differentiate more effectively. City experiences a nine-month rainy season with hot climate, cloud can affect image quality, making it challenging map covers clearly. Utilizing SENTINEL data enhance resolution improve spatio-temporal monitoring frameworks. Furthermore, integrating CO2 estimation could offer deeper insights into associated urbanization.

Language: Английский

Citations

8
Predicting Future Land Use Utilizing Economic and Land Surface Parameters with ANN and Markov Chain Models DOI Creative Commons

Ankush Rani,

Saurabh Kumar Gupta, Suraj Kumar Singh

et al.

Earth, Journal Year: 2023, Volume and Issue: 4(3), P. 728 - 751

Published: Sept. 15, 2023

The main aim of this study is to comprehensively analyze the dynamics land use and cover (LULC) changes in Bathinda region Punjab, India, encompassing historical, current, future trends. To forecast LULC, Cellular Automaton–Markov Chain (CA) based on artificial neural network (ANN) concepts was used using cartographic variables such as environmental, economic, cultural. For segmenting a combination ML models, support vector machine (SVM) Maximum Likelihood Classifier (MLC). empirical nature, it employs quantitative analyses shed light LULC variations through time. result indicates that barren expected shrink from 55.2 km2 1990 5.6 2050, signifying better management or increasing human activity. Vegetative expanses, other hand, are rise 81.3 205.6 reflecting balance between urbanization ecological conservation. Agricultural fields increase 2597.4 2859.6 2020 before stabilizing at 2898.4 2050. Water landscapes 13.4 providing possible issues for water resources. Wetland regions decrease, thus complicating irrigation groundwater reservoir sustainability. These findings confirmed by strong statistical indices, with study’s high kappa coefficients Kno (0.97), Kstandard (0.95), Klocation (0.97) indicating reasonable level accuracy CA prediction. From F1 score, significant issue found MLC vegetation, resolved SVM classification. can be inform policy plans sustainable development beyond.

Language: Английский

Citations

25
Land Use Planning and Green Environment Services: The Contribution of Trail Paths to Sustainable Development DOI Creative Commons
Grigorios L. Kyriakopoulos

Land, Journal Year: 2023, Volume and Issue: 12(5), P. 1041 - 1041

Published: May 10, 2023

Recently land-use planning and green environment services have been considered as inseparable parts of the design trail paths for a sustainable development. At present there is need holistic overview land uses cover, to be linked with natural regional The key determinants such an approach embody changes in wake drivers anthropocentric well global greenhouse gases, causing climate change affecting biodiversity. In this study main research objects previously developed studies were systematically approached by search literature through Scopus database using these four fields keywords: (a) “land use” AND development, (b) “trail path” “article titles” subcategory “land”, (c) “sustainable development”, and, (d) “sustainable” “trail”. derived documents collected organized into following domains, being paired together by: year country/territory, keyword subject area. classification was followed calculation relevant “intensity ratios” that disclose well-defined emerging further perspectives regarding use particular dynamics development paths.

Language: Английский

Citations

23
Navigating Sustainability through Greenhouse Gas Emission Inventory: ESG Practices and Energy Shift in Bangladesh’s Textile and Readymade Garment Industries DOI
Mithun Kumar Biswas, Abul Kalam Azad,

Anupa Datta

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 345, P. 123392 - 123392

Published: Jan. 21, 2024

Language: Английский

Citations

9
An interval-valued Pythagorean fuzzy approach to mitigate traffic congestion in densely populated cities with implications for sustainability DOI Creative Commons
Md. Fahim Bin Alam, A.B.M. Mainul Bari,

Saifur Rahman Tushar

et al.

Decision Analytics Journal, Journal Year: 2025, Volume and Issue: unknown, P. 100558 - 100558

Published: March 1, 2025

Language: Английский

Citations

1
Prediction of land use changes at a metropolitan city using integrated cellular automata: past and future DOI Creative Commons

Shahfahad,

Mohd Waseem Naikoo, Tanmoy Das

et al.

Geology Ecology and Landscapes, Journal Year: 2022, Volume and Issue: 8(3), P. 287 - 305

Published: Oct. 14, 2022

In the cities of developing countries like India, rapid and uncontrolled urbanization has been taking place due to continuous population growth in last few decades. As a result, land use/land cover (LU/LC) is changing very fast countries. Therefore, this study aims examine changes LU/LC pattern Delhi during 1991–2018 simulate future for 2030. The mapping was done from Landsat datasets using k-means clustering technique. cellular automata (CA) technique integrated with artificial neural network (ANN) simulating patterns. projected shows that Delhi's built-up area will increase nearly 60% total city, while cropland open decrease 19.86 0.15%, respectively. highest observed northern, western, south-western sub-districts Delhi. Outcomes may be used use planning other cities. addition, they can also provide valuable insights development transportation facilities amenities areas urban expansion.

Language: Английский

Citations

32
Evaluation of Global Land Use–Land Cover Data Products in Guangxi, China DOI Creative Commons
Xuan Hao, Yubao Qiu, Guoqiang Jia

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(5), P. 1291 - 1291

Published: Feb. 26, 2023

Land use–land cover (LULC) is an important feature for ecological environment research, land resource management and evaluation. Although global high-resolution LULC data sets are booming, their regional performances were still evaluated in limited regions. To demonstrate the local applicability of products, six emerging products compared Guangxi, China. The used European Space Agency GlobCover (ESAGC), ESRI Use–Land Cover (ESRI–LULC), Finer Resolution Observation Monitoring Global (FROM–GLC), China Dataset (CLCD), product with Fine Classification System at 30 m (GLC_FCS30) GlobeLand30 (GLC30). Reference obtained from government statistical yearbook remote sensing images on Google Earth. results showed that CLCD, ESRI–LULC GLC30 found to agree well forest reference data, highest correlation coefficient 0.999. For cropland areas, GLC30, CLCD ESAGC agreed was 0.957. Combined comparison by Earth, we finally concluded ESAGC, can best represent LULCs Guangxi. Furthermore, spatial consistency analysis three or more identified same type as high 96.98% area. We suggest majority voting might be applied provide fused better a scale avoid error caused single product.

Language: Английский

Citations

18
Integration of Sentinel-1 and Sentinel-2 Data for Ground Truth Sample Migration for Multi-Temporal Land Cover Mapping DOI Creative Commons
Meysam Moharrami, Sara Attarchi, Richard Gloaguen

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(9), P. 1566 - 1566

Published: April 28, 2024

Reliable and up-to-date training reference samples are imperative for land cover (LC) classification. However, such datasets not always available in practice. The sample migration method has shown remarkable success addressing this challenge recent years. This work investigated the application of Sentinel-1 (S1) Sentinel-2 (S2) data migration. In addition, impact various spectral bands polarizations on accuracy migrated was also assessed. Subsequently, combined S1 S2 images were classified using Support Vector Machines (SVM) Random Forest (RF) classifiers to produce annual LC maps from 2017 2021. results showed a higher (98.25%) migrations both comparison (87.68%) (96.82%) independently. Among classes, highest found water, built-up, bare land, grassland, cropland, wetland. Inquiries efficiency different polarization used that 4 8 VV water class more important, while wetland class, 5, 6, 7, 8, 8A together with superior performance. RF classifier provided better performance than SVM (higher overall, producer, user accuracy). Overall, our findings suggested shared use can be as suitable means producing high-quality samples.

Language: Английский

Citations

7
Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Gazipur City Corporation, Bangladesh DOI Open Access
Md Shihab Uddin, Badal Mahalder,

Debabrata Mahalder

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(16), P. 12329 - 12329

Published: Aug. 13, 2023

Anthropogenic activities have a significant influence on land use and cover (LULC) changes, especially in rapidly growing areas. Among several models, the combination of cellular automata–artificial neural network (CA-ANN) model is being widely used for assessing future LULC changes using satellite images. This study aimed to investigate Gazipur City Corporation (GCC), Bangladesh, patterns over last two decades (2002 2022). In this study, maximum likelihood supervised classification technique was processing available The results show that urban area vegetation coverage increased by 150% 22.78%, whereas bare waterbody decreased 7.02% 78.9%, respectively, from 2002 2022 inside GCC area. For predictions, CA-ANN developed, accuracy percentage which 86.49%, kappa value 0.83. prediction will increase 47.61%, are supposed decrease 24.17% 67.23%, 2042. findings could be useful sustainable planning management, as well enabling decision making authorities improvements environmental ecological conditions

Language: Английский

Citations

14