18. Islam, A., Ali, S.M., Ali, A., Rana, S.A., Ullah, S., and Adnan, S. 2026. Relationship between Land Use Land Cover and Land Surface Temperature in the Formation of Urban Heat Islands across Pakistan. Journal of Himalayan Earth Sciences , Volume, No., 2026 pp. 1-27. View at Publisher
Peer-reviewed scientific articles
International and national journal publications.
17. Islam, A., Ali, S.M., Kanwal, A., Zaman-ul-Haq, M, Tariq, A., Ali, Iftikhar., Adnan, S., Faqeih, K. Y., Alamri, S. M., Alamery, E. R. and Bokhari, S. A. 2026. Assessing the impacts of land cover changes on urban heat island effect and evapotranspiration patterns in mountain and plateau regions. Theoretical and Applied Climatology , 157:607. View at Publisher
16. Waheed, S., Nadeem, Q., Ali, S. M., Mazhar, M., Islam, A., Qureshi, M. J. ud D. A., Ali, I., & Adnan, S.. 2025. Landscape Metrics and NDVI Analysis to analyze Urban Growth and Green Space loss: Insights from Murree Tehsil (2000-2020): Green Space Change Detection using GIS Techniques. Journal of Himalayan Earth Sciences , 58(2), 147-161. View at Publisher (Open Access)
15. Gopalakrishnan, R., Korhonen, L., Maltamo, M., Adnan, S., & Packalen, P. 2025. Prediction and mapping of boreal forest fire fuel loads using high-resolution satellite stereo imagery. International Journal of Remote Sensing , 1–23. View at Publisher (Open Access)
14. Ali, I., Islam, A., Ali, S.M., and Adnan, S. 2023. Identification and Selection of Suitable Landfill Sites using GIS-based Multi-Criteria Decision Analysis in the Peshawar District, Pakistan. Waste Management & Research: The Journal for a Sustainable Circular Economy (WM&R), 2023;41(3):608-619. View at Publisher (Open Access)
13. Adnan, S., Valbuena, R., Kauranne, T., Gopalakrishnan, R., Maltamo, M. 2022. Optimizing the airborne laser scanning estimation of basal area larger than mean (BALM): an indicator of cohort balance in forests. Ecological Indicators , 142 (2022):109162. View at Publisher (Open Access)
12. Adnan, S., Maltamo, M., Mehtätalo, L., Ammaturo, R.N.L., Packalen, P. and Valbuena, R., 2021. Determining maximum entropy in 3D remote sensing height distributions and using it to improve aboveground biomass modelling via stratification. Remote Sensing of Environment , 260 (2021):112464. View at Publisher (Open Access)
11. Adnan, S., Maltamo, M., Mehtätalo, L., Ammaturo, R.N.L., Packalen, P. and Valbuena, R., 2021. Moving on from Foliage Height Diversity: determining maximum entropy in 3-dimensional variables. In Proceedings of the SilviLaser Conference 2021 (pp. 316–318). View at Publisher (Open Access)
10. Ahmad, W., Iqbal, J., Nasir, M. J., Ahmad, B., Khan, M. T., Khan, S. N. and Adnan, S. 2021. Impact of land use/land cover changes on water quality and human health in district Peshawar Pakistan. Scientific Reports , 11, 16526 (2021). View at Publisher (Open Access)
9. Adnan, S., 2020. Improvements in forest structural type assessment using airborne laser scanning. Dissertation Forestales, 306. pp. 1-60. View at Publisher (Open Access)
8. Adnan, S., Maltamo, M., Coomes, D.A., García-Abril, A., Malhi, Y., Manzanera, J.A., Butt, N., Morecroft, M. and Valbuena, R., 2019. A simple approach to forest structure classification using airborne laser scanning that can be adopted across bioregions. Forest Ecology and Management, 433, pp.111-121. View at Publisher
7. Adnan, S., Maltamo, M., Valbuena, R., & Packalen, P. 2019. Potential of forest structural types detected directly from airborne LiDAR data in the aboveground biomass estimation. Série Técnica IPEF, 4:12 pp.24(46). View at Publisher (Open Access)
6. Adnan, S., Iqbal, J., Maltamo, M., Bacha, M.S., Shahab, A. and Valbuena, R., 2019. A Simple Approach of Groundwater Quality Analysis, Classification, and Mapping in Peshawar, Pakistan. Environments, 4:12 pp.123. View at Publisher (Open Access)
5. Adnan, S., Iqbal, J., Maltamo, M., and Valbuena., 2018. GIS-based DRASTIC model for groundwater vulnerability and pollution risk assessment in the Peshawar District, Pakistan. Arabian Journal of Geosciences 16 ( 11):458. View at Publisher OR Download
4. Shahab, A., Shihua, Q., Rad, S., Keita, S., Khan, M. and Adnan, S., 2018. Groundwater vulnerability assessment using GIS-based DRASTIC method in the irrigated and coastal region of Sindh province, Pakistan. Hydrology Research, 50 (1): 319-338. View at Publisher OR Download
3. Adnan, S., Maltamo, M., Coomes, D.A. and Valbuena, R., 2017. Effects of plot size, stand density, and scan density on the relationship between airborne laser scanning metrics and the Gini coefficient of tree size inequality. Canadian Journal of Forest Research, 47(12), pp.1590-1602. View at Publisher OR Download
2. Sajjad, A., Hussain, A., Wahab, U., Adnan, S., Ali, S., Ahmad, Z. and Ali, A., 2015. Application of Remote Sensing and GIS in Forest Cover Changes in Tehsil Barawal, District Dir, Pakistan. American Journal of Plant Sciences, 6, 1501-1508. View at Publisher (Open Access)
1. Adnan, S. and J. Iqbal (2014). Spatial Analysis of the Groundwater Quality in the Peshawar District, Pakistan. Procedia Engineering 70(0): 14-22. View at Publisher (Open Access)
2. Bacha, M.S., Nafees, M. and Adnan, S., 2018. Farmers’ perceptions about climate change vulnerabilities and their adaptation measures in District Swat. Sarhad Journal of Agriculture, 34(2), pp.311-326. View at Publisher
1. Sajjad, A., Adnan, S. and Hussain, A. 2018, "Deforestation drivers in Tehsil Barawal, Dir Upper, Pakistan", Pakistan Journal of Scientific and Industrial Research Series. B: Biological Sciences, vol. 61, no. 2, pp. 89-94. View at Publisher