Research output

Publications & Research

A curated record of journal articles, conference contributions, theses, research data and research funding, with the original publication details and publisher links retained.

20Journal articles
6Conference contributions
3Theses
2Other research outputs
A

Peer-reviewed scientific articles

International and national journal publications.

A1 International Journals

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

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)

A2 National Journals

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

B

Non-refereed scientific articles

Other scientific publications and research data outputs.

2. Adnan, S., Zeb, A. Potentials of Chilghoza Nuts (Pinus gerardiana) in the Economic Uplifts of Mountainous Rural Communities. Preprints 2022, 2022100332. View at Publisher (Open Access)

1. Adnan, S. 2022. Open source measurement data of the ground water physio-chemical parameters in the Peshawar District, Pakistan [Data set]. Available at Zenodo

C

Conferences

International and national conference contributions.

C1 International

5. Adnan, S., Valbuena, R., Kauranne, T., Gopalakrishnan, R., Maltamo, M. 2022. Optimal Plot Size, Sample Size and Point Density Selection for Airborne Laser Scanning Assisted Basal Area Larger than Mean (𝑩𝑨𝑳𝑴) Estimation. Abstract. ForestSAT 2022 conference (30August – 02 September, 2022) at Freie Universität Berlin, Germany. Available at ResearchGate OR Conference website

4. Adnan, S., Maltamo, M., Valbuena, R., 2022. Improvements in airborne laser scanning based forest structural type assessment. Abstract. XV World Forestry Congress 2022. , 2–6 May 2022. Coex, Seoul, Republic of Korea. Available at XV World Forestry Congress 2022

3. 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. Abstract. SilviLaser 2019 conference on “Lidar applications for assessing and managing forest ecosystems”, October 8-10 2019. Iguazu Falls, Brazil. Available at Silvilaser 2019

2. 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 for bioregional assessment of forest structure types using airborne laser scanning. Abstract. IUFRO 2019 congress on “Forest Research and Cooperation for Sustainable Development”, September 29-October 5, 2019. Curitiba, Brazil. Available at IUFRO 2019 OR Oxfordabstracts

1. Adnan, S., Maltamo, M., Coomes, D.A. and Valbuena, R., 2018. 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. Abstract. ForestSAT 2018 conference on “Entering a new era in forest observation and analysis”, October 1-5, 2018. University of Maryland and NASA Goddard Space Flight Centre, USA. Available at ForestSAT 2018

C2 National

1. Adnan, S. and Iqbal, J. (2013). Spatial Modelling of groundwater quality assessment: A case study of Peshawar District. Abstract. One day conference on Sustainable Utilization Of Natural Resources (Sun-R) Of Khyber Pakhtunkhwa & FATA . Journal of Himalayan Earth Sciences. ISSN: 1994-3237, Online ISSN: 2305-6959. NCEG Peshawar, Pakistan. Available at Conference webpage

D

Theses

Doctoral, master’s and bachelor’s research.

3. Adnan, S., 2020. Improvements in forest structural type assessment using airborne laser scanning. Dissertation Forestales 306. pp. 1-60. Read on Dissertation Forestales

2. Adnan, S., 2013. Spatial modelling of groundwater quality assessment: A case study of Peshawar District Pakistan. Master's thesis. Institute of Geographical Information System, National University of Sciences and Technology, Pakistan. Read Online

1. Adnan, S,. 2009. The role of Chilghoza Pine (Pine nusts) ( Pinus gerardiana ) in the livelihood of poor and marginalized communities of Shishi Koh Valley District Chitral, Pakistan. Bachelor's Thesis. Department of Forestry, University of Malakand, Pakistan.

E

Fundings & travel grants

Research funding and conference travel support listed in the original profile.

Funding Research Fundings

3. PostDoc Research Grant 2021 (12 months) from the Finnish Society of Forest Sciences and Post Docs in Companies (PoDoCo) program for Predicting tree diameter distributions in direct airborne laser scanning detected forest structural type.

2. Abroad Ph.D. Scholarship 2015 from the National University of Sciences and Technology, Pakistan.

3. Bachelors Thesis Funding from the Livelihood Program North Region, Swat, Pakistan for the thesis entitled the role of Pinus gerardiana (Chilghoza pine) in the livelihoods of poor and marginalized communities of the Shishi Koh Valley, District Chitral, Pakistan.

Travel Travel Grants

5. Travel grant from the Finnish Society of Forest Sciences for ForestSAT 2022 Conference at the Freie Universität Berlin, Germany.

4. Travel grant from the Finnish Society of Forest Sciences for IUFRO World Congress 2019 at Brazil.

3. Travel grant from the School of Forest Sciences, UEF Bioeconomy program for Slivilaser 2019 Conference at Brazil.

2. Travel grant from the Finnish Society of Forest Sciences for ForestSAT 2018 Conference at the University of Maryland, USA.

1. Travel grant from the National University of Sciences and Technology, Pakistan for one day conference on Sustainable Utilization Of Natural Resources (Sun-R) Of Khyber Pakhtunkhwa & FATA organized by Pakistan Academy of Sciences (PAS) and the National Centre of Excellence in Geology (NCEG) in 2013.