The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh
Open accessAbstract
Despite research that has been conducted elsewhere, little is known, to-date, about land cover dynamics and their impacts on land surface temperature (LST) in fast growing mega cities of developing countries. Landsat satellite images of 1989, 1999, and 2009 of Dhaka Metropolitan (DMP) area were used for analysis. This study first identified patterns of land cover changes between the periods and investigated their impacts on LST; second, applied artificial neural network to simulate land cover changes for 2019 and 2029; and finally, estimated their impacts on LST in respective periods. Simulation results show that if the current trend continues, 56% and 87% of the DMP area will likely to experience temperatures in the range of greater than or equal to 30 °C in 2019 and 2029, respectively. The findings possess a major challenge for urban planners working in similar contexts. However, the technique presented in this paper would help them to quantify the impacts of different scenarios (e.g., vegetation loss to accommodate urban growth) on LST and consequently to devise appropriate policy measures.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398
NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space
Gao, B.-C. (1996) · Remote Sensing of Environment · doi:10.1016/s0034-4257(96)00067-3 · Cited by 6,951
The energetic basis of the urban heat island
Oke, T. R. (1982) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49710845502 · Cited by 4,670
Impact of regional climate change on human health
Patz, J. A., Campbell-Lendrum, D., Holloway, T., & Foley, J. A. (2005) · Nature · doi:10.1038/nature04188 · Cited by 3,103
Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
Zha, Y., Gao, J., & Ni, S. (2003) · International Journal of Remote Sensing · doi:10.1080/01431160304987 · Cited by 2,910
Impact of urbanization and land-use change on climate
Kalnay, E., & Cai, M. (2003) · Nature · doi:10.1038/nature01675 · Cited by 2,370
Chen, X.-L., Zhao, H.-M., Li, P.-X., & Yin, Z.-Y. (2006) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.11.016 · Cited by 1,730
Attributing physical and biological impacts to anthropogenic climate change
Rosenzweig, C., Karoly, D., Vicarelli, M., Neofotis, P., Wu, Q., Casassa, G., Menzel, A., Root, T. L., Estrella, N., Seguin, B., et al. (2008) · Nature · doi:10.1038/nature06937 · Cited by 1,521
Introduction Neural networks in remote sensing
Atkinson, P. M., & Tatnall, A. R. L. (1997) · International Journal of Remote Sensing · doi:10.1080/014311697218700 · Cited by 1,018
Comparing the input, output, and validation maps for several models of land change
Pontius, R. G., Boersma, W., Castella, J.-C., Clarke, K., de Nijs, T., Dietzel, C., Duan, Z., Fotsing, E., Goldstein, N., Kok, K., et al. (2008) · The Annals of Regional Science · doi:10.1007/s00168-007-0138-2 · Cited by 940
Research works printed but not linked: 18
- Ye, 2010, Urbanisation effects on summer habitat comfort: A case study of three coastal cities in southeast China, Int. J. Sust. Dev. World, 17, 317, 10.1080/13504509.2010.493324 · doi:10.1080/13504509.2010.493324
- Howard, 1833, The climate of London, London Harvey Dorton, 2, 1818
- Ohashi, 2002, Local circulations developed in the vicinity of both coastal and inland urban areas: A numerical study with a mesoscale atmospheric model, J. Appl. Meteor, 41, 30, 10.1175/1520-0450(2002)041<0030:LCDITV>2.0.CO;2 · doi:10.1175/1520-0450(2002)041<0030:lcditv>2.0.co;2
- Sheng, 2009, Comparison of land surface temperature (LST) modeled with a spatially-distributed solar radiation model (SRAD) and remote sensing data, Environ. Model. Softw, 24, 436, 10.1016/j.envsoft.2008.09.003 · doi:10.1016/j.envsoft.2008.09.003
- Ahmed, B. (2011). Urban land cover change detection analysis and modeling spatio-temporal Growth dynamics using Remote Sensing and GIS Techniques: A case study of Dhaka, Bangladesh. Master’s Thesis,.
- Maki, 2004, Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data, Remote Sens. Environ, 90, 441, 10.1016/j.rse.2004.02.002 · doi:10.1016/j.rse.2004.02.002
- Kalnay, 2003, Impact of urbanization and land-use change on climate, Nature, 423, 528, 10.1038/nature01675 · DOI · Paper page
- Silva, 2002, Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal, Comput. Environ. Urban Syst, 26, 525, 10.1016/S0198-9715(01)00014-X · doi:10.1016/s0198-9715(01)00014-x
- Hilferink, 1999, Land Use Scanner: An integrated GIS based model for long term projections of land use in urban and rural areas, J. Geogr. Syst, 1, 155, 10.1007/s101090050010 · doi:10.1007/s101090050010
- Castella, 2005, Agrarian transition and lowland-upland interactions in mountain areas in northern Vietnam: Application of a multi-agent simulation model, Agric. Syst, 86, 312, 10.1016/j.agsy.2004.11.001 · doi:10.1016/j.agsy.2004.11.001
- Harris, L., and Sanderson, J. (2000). Landscape Ecology: A Top down Approach, CRC Press.
- Kok, 2001, Evaluating impact of spatial scales on land use pattern analysis in Central America, Agric. Ecosyst. Environ, 85, 205, 10.1016/S0167-8809(01)00185-2 · doi:10.1016/s0167-8809(01)00185-2
- Balzter, 2000, Markov chain models for vegetation dynamics, Ecolog. Model, 126, 139, 10.1016/S0304-3800(00)00262-3 · doi:10.1016/s0304-3800(00)00262-3
- Ahmed, 2013, Evaluation of model validation techniques in land cover dynamics, ISPRS Int. J. Geo-Inf, 2, 577, 10.3390/ijgi2030577 · doi:10.3390/ijgi2030577
- Chen, 2002, A study on urban thermal field in summer based on satellite remote sensing, Remote Sens. Land Resour, 4, 55
- Atkinson, 1997, Introduction Neural networks in remote sensing, Int. J. Remote Sens, 18, 699, 10.1080/014311697218700 · DOI · Paper page
- Zeug, 2010, Population growth and its expression in spatial built-up patterns: The Sana’a, Yemen case study, Remote Sens, 2, 1014, 10.3390/rs2041014 · doi:10.3390/rs2041014
- Kibert, C.J. (2012). Sustainable Construction: Green Building Design and Delivery, John Wiley and Sons, Inc. [3rd ed].
Cited by
Faisal, A.-A., Kafy, A. A., Al Rakib, A., Akter, K. S., Jahir, D. M. A., Sikdar, M. S., Ashrafi, T. J., Mallik, S., & Rahman, M. M. (2021) · Environmental Challenges · doi:10.1016/j.envc.2021.100192 · Cited by 167
Self-citationChaudhuri, G., & Mishra, N. B. (2016) · Applied Geography · doi:10.1016/j.apgeog.2016.01.002 · Cited by 125
Abrar, R., Sarkar, S. K., Nishtha, K. T., Talukdar, S., Shahfahad, Rahman, A., Islam, A. R. M. T., & Mosavi, A. (2022) · Sustainability · doi:10.3390/su14094945 · Cited by 87
“Using an artificial neural network and thermal indices, the researchers described land cover dynamics and consequences on UHI in the Dhaka metropolitan region (DMP) [34].”
BackgroundRahman, M. S., Ahmed, B., & Di, L. (2017) · Journal of Mountain Science · doi:10.1007/s11629-016-4220-z · Cited by 66
Self-citationTrotter, L., Department of Spatial Sciences, C. U., Dewan, A., & Robinson, T. (2017) · AIMS Environmental Science · doi:10.3934/environsci.2017.1.145 · Cited by 45
Metadata
- Authors
- Ahmed, B., Kamruzzaman, M., Zhu, X., Rahman, M., & Choi, K.
- Venue
- Remote Sensing
- Publisher
- MDPI AG
- Published
- 2013-11-15
- Volume
- 5
- Issue
- 11
- Pages
- 5969-5998
- ISSN
- 2072-4292 (ISSN-L)
- OpenAlex
- W2081688099
- Cited by
- 364
- References
- 48
- FWCI
- 4.91
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh. https://app.cochat.ai/papers/10.3390/rs5115969
- The paper
- Ahmed, B., Kamruzzaman, M., Zhu, X., Rahman, M., & Choi, K. (2013). Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh. Remote Sensing. https://doi.org/10.3390/rs5115969
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.