Faculty in the Department of Forestry

RESEARCH INTEREST

• RemoteSensing
• ForestInventory
• GIS/RemoteSensingApplication in Natural Resources Management
• Land-use land-cover change assessment using Remote sensing

ACADEMIC QUALITICATIONS

• PhD(Dr.rer.net)in (Forest Inventory and Remote Sensing) completed 2014-2017 from chair of Remote Sensing and Landscaping InformationSystem,Faculty ofEnvironmentalSciences and Natural Resources,Universityof Freiburg,Germany

• M.Phil. (2011-2012) in(Geospatial Sciences) completedfromNationalCenterof

• M.Sc.(2004-2006)in(Forestry) completedfromPakistanForestInstitute (PFI), Universityof Peshawar, Pakistan

EXPERTISE IN REMOTE SENSING DATA PROCESSING

• Processing and extraction of information from all kinds of space borne multispectral satellite images including high resolution to medium and coarse resolution sensors
• Processing and extraction of information from airborne, ground, and space borne active sensors including LiDAR and TanDEM-X data
• Processing and extraction of information from airborne, and space borne stereo aerial photographs, and stereo very high resolution satellite data
• Processing and extraction of information from UAV drones images and videos

LIST OF INTERNATION PUBLICATIONS

• Ullah, S,  Dees, M, Datta, P; Adler, P; Koch, B. Comparing Airborne Laser Scanning, and Image-Based Point Clouds by Semi-Global Matching and Enhanced Automatic Terrain Extraction to Estimate Forest Timber Volume. Forests 2017, 8, 215. http://www.mdpi.com/1999-4907/8/6/215

• Ullah S, Shafique M, Farooq M, Zeeshan M, Dees M (2017) Evaluating the impact of classification algorithms and spatial resolution on the accuracy of land cover mapping in a mountain environment in Pakistan. Arabian Journal of Geosciences. (Springer). 10:67 doi:10.1007/s12517-017-2859-6. https://link.springer.com/article/10.1007/s12517-017-2859-6
• Ullah S, Adler P, Dees M, Weinaker H, Datta P, Koch B (2017) Comparing image-based point clouds and airborne laser scanning for estimating forest heights. iForestBiogeosciences and Forestry. 0:328-335 doi:10.3832ifor2077-009. http://www.sisef.it/iforest/contents/?id=ifor2077-009
• Ullah S , Farooq M, Shafique M, Siyab MA, Kareem F, Dees M (2016) Spatial assessment of forest cover and land-use changes in the Hindu-Kush mountain ranges of northern Pakistan. Journal of Mountain Science. (Springer). 13:1229-1237. https://link.springer.com/article/10.1007/s11629-015-3456-3
• Ullah S, Adler P, Dees M, Koch B (2015) Evaluating the Potential of Stereo Aerial Photographs for Canopy Height Model Generation. ForstlicheForschungsberichte. 214:83-90.

LIST OF INTERNATIONAL CONFERENCES PRESENTATIONS

• Ullah S, Adler P, Dees M, Koch B. Exploring the potential of stereo aerial photographs for canopy height model generation using in presence and absence of pre-existing LiDAR based digital terrain model. Conference presentation, The pixel Forest-reloaded!  17. /18. March 2015, Freising, Germany
• Ullah S, Adler P, Dees M, Datta P, Koch B (2016). Comparing the potential of stereo aerial photographs, stereo very high resolution steatite images and TanDEM-X for estimating forest height. FowiTa, ForstwissenschaftlicheTagung, 26. - 29.09.2016, Freiburg, Germany
• Ullah S, Farooq M, Shafique M, Dees M (2016). Mapping landcover from space borne imager in mountain environment: impact of spatial resolution and classification algorithums. Mountain2016. I International Conference on Research for Sustainable Development in Mountain Regions 5-7 October 2016, Bragança,Portugal

• Research Assistantat the Forest Research Institute Baden-Wuerttemberg, Germany from (June, 2014-2017)

• PhD scholar at the Chair of Remote Sensing and Landscape Information System University of Freiburg, Germany (June, 2013 – June, 2017)

• Assistant Editor (Open Agriculture-De Gruyter Open) till date

• Reviewer of various International Journal including
• International Journal of Remote Sensing
• Forest journal (MDPI)
• iForest Bio-geosciences and Forestry (Italian Society of Silviculture)
• Sensors (MDPI)
• Advancement in Remote Sensing