Dr. Javed Iqbal (HEC Approved Supervisor)
Head of Department
Geographical Information System & Remote Sensing
National University of Sciences and Technology (NUST)
IGIS Building (1st Floor)
GIS and RS Application in Natural Resource Management
Post-Doctoral(GIS & RS Application in Natural Resources Management,Purdue University,USA), Ph.D(GIS & RS Application in Natural Resources Management,Mississippi State University,USA), MS(Agric.Meteorology,Biological & Agric.Engg,University of Arkansas USA
Dr. Javed Iqbal is Professor & Head of Department of the Institute of Geographical Information Systems (IGIS), School of Civil & Environmental Engineering (SCEE). His research interests are centred on the Geospatial Applications in Glaciology, Climate Change & Variability, Water Resources, Hydrological Modeling, Natural Hazard & Disaster Management, Site Specific Agriculture, Soil Sciences, Epidemiology, and Mineral Resources Exploration. He is serving as a reviewer on the panel of several International Journals including Int. Journal of Remote Sensing, Soil Sciences Society of America Journal etc. Before joining NUST, he was a member of the faculty of Purdue University, USA for 3 years and also served with Bio. & Agriculture Engineering Department, and USDA-ARS, MSU, USA, for 5 years where he was working on a collaborative interdisciplinary projects “Modelling and Risk Management with Remote Sensing and other Spatial Data” and “Remote-Sensing based System Characterisation and Management with an interdisciplinary Team Approach”. During his PhD programme, he worked as Research Associate on many projects including Soil Moisture Sensor Calibration, Spatial Variability Analysis & Mapping of Soil Physical Properties; Calibration & Validation of GOSSYM/ COMAX simulation model, Soil-Landscape Interaction and Hydrological Modeling in GIS; Modelling Soil Erosion with Remote Sensing and GIS using RUSLE and Field-Scale Mapping of Soil Physical Properties with Hyperspectral/Multispectral Aerial Imagery. He published several papers as a leading author in various International Journals including Soil Sciences Society of America Journal, American Society of Agron. and Int. J. of Remote Sensing.
He developed several curriculums in the field of Geospatial sciences including the PhD programme in Remote Sensing & GIS and 4 year BE Geoinformatics programmes at IGIS. He also developed the PhD GRE subject entry test which was conducted first time in the country. He is serving as a member of the Geospatial curriculum development & review committees of several national based Universities in the country. He is an HEC approved supervisor and currently supervising 5 PhD students. He has supervised over 50 MS graduate students towards completion of their Masters thesis.
Geographic Information System & Remote Sensing Application in Natural Resources Management, Hydrological Modeling, Natural Hazard & Disaster, Glaciology, Site-Specific Agric., Epidemiology and Water Resources management.
1. Jul 2009 - Present: Associate Professor & Head of the Department, IGIS, NUST, Islamabad.
Supervising: 12 MS and 5 PhD students research.
2. May 2008 - Jul 2009: Assistant Professor, Dep. of Env. Sci., COMSATS, Abbottabad.
Remote sensing and GIS applications in soils and crops, crop simulation modeling (including GOSSYM/COMAX, DSSAT, and PC-Yield), hydrological modeling in GIS, Spatial variability analysis of soils and crops using Geostatistics, and calibration of soil water probes.
3. May 2005 - Nov 2008: Post-Doc Research Associate, Dep. of Agronomy, Lilly Hall of Life Sciences, 915 W. State Street, Purdue University, USA.
Worked on a collaborative project between USDA-ARS National Soil Erosion Research Laboratory (NSERL) and Agronomy department on Soil and Water Assessment Tool (SWAT) model for simulating the fate and transport of pesticides under different agricultural practices in the Cedar Creek Experimental Watershed within the St. Joseph River Basin in northeastern Indiana. Model input data like soil moisture was predicted using passive/active microwave remote sensing. Pedotransfer function were used to predict other soil hydraulic variables.
4. Jan 2001 - Apr 2005: Research Soil Scientist, USDA-ARS, USA
Worked on collaborative on-farm projects between Agric. and Bio. Eng. Dept. and USDA-ARS, USA. These on-farm projects involved a multidisciplinary team approach to manage crops and soils sit-specifically using NASA airborne remote sensing data, Hyperspectral Handheld spectroradiometer data, GIS, crop simulation modeling, and Geostatistical tools.
5. May 1989 - 1996: Lecturer, Dep. of Soil Sciences, Peshawar University, Pakistan
Worked as PI on projects entitled “Effects of foliar application of micro-nutrients (Zn, Cu, Fe, Mn, & B) along with urea on citrus in calcareous soils of NWFP". The on-farm project objectives were to develop and formulate micronutrient foliar application rates for elimination of little leaf effect, interveinal chlorosis, twig dieback, stem gumming and increase vitamin C in orange juice. Served as advisor and assisted several graduate students towards completion of their research projects and master thesis.
1. Title: Remote-Sensing Based Agricultural System Characterization and Management With an Interdisciplinary Team Approach.
Duration: 3 years (2001-2004)
Source: Sensing Technologies Center, Mississippi State University/NASA
2. Title: Yield Modeling and Risk Management with Remote Sensing and Other Spatial Data
Duration: 3 years (2001-2004)
Source: Remote Sensing Technologies Center, Mississippi State University/NASA
3. Title: Effects of foliar application of micro-nutrients (Zn, Cu, Fe, Mn, & B) along with urea on citrus in calcareous soils of NWFP.
Duration: 3 years (1989-1992)
Source: Pakistan Science Foundation (PSF).
Amount: Rs. 150,000.
Funded Projects by USDA-ARS and Bio. & Engineering, MSU, USA
4. Title: Soil-Landscape Interaction and Hydrological Modeling in GIS
The objectives of this study were to study the interactions of soil-landscape effects on dryland cotton crop performance, reduce the risk of soil erosion and non-point soil pollution. Data collection included: Topographic and hydrologic attributes (derived in Arcview GIS from high resolution RTK-GPS elevation measurement), 2-years crop yield monitor data, soil physico-chemical, and in-situ measurements of surface and subsurface soil water content using soil moisture probes. Relationships were established between soils, crop, and topographic variables and recommendations were made to improve the crop yield and reduce the risk of soil erosion and non-point source pollution.
5. Title: Spatial Variability Analysis of Soil Physical Properties
The objectives of this study were to quantify spatial variability of soil physical properties using various geostatistical tools and to develop surface maps for site-specific applications. A 162-ha field was sampled for three horizons on a 79-m grid. Spatial structure (semivariogram/Moran’s I) of broad range of soil physical properties were analyzed such as sand, clay, bulk density, saturated soil hydraulic conductivity, and soil moisture retention curve at seven pressure head (-1 to -1500 kPa). Soil types boundaries were delineated for various site-specific application like variable N and irrigation application in cotton crop.
6. Title: Development of Soil Physical Properties Web-Database
A soil web-database has been developed for soil scientist and environmentalists to access online soil physical properties data which are in ASCII, GOSSYM, and GLYCIM format. The database has been developed in Oracle8 (RDBMS). Two search engines i.e. simple and advance has been developed for users to download data, without any restriction of ID/password.
7. Title: Remote Sensing Capabilities of Weed Detection and Mapping
The objective of the study was to determine the potential of spectral analysis of multispectral images, and field spectroradiometer data for discriminating morning glory and different types of grasses from cotton canopy. NDVI temporal pattern analysis and feature extraction procedures were used to successfully map and discriminate weeds in the cotton canopy.
8. Title: Cotton Yield Variability Analysis with Crop Modeling and Remote Sensing
The objectives of this study were to (i) use cotton growth simulation model, GOSSYM, to determine if a cotton crop can be managed site-specifically or based on dominant soil types, (ii) determine the utility of remote sensing data in characterizing spatiotemporal yield variability and (iii) determine when remote sensing data should be acquired for making management decisions.
9. Title: Poultry Litter Effects Analysis on Cotton Leaf N, Yield, and Growth Variables with Remote Sensing
The objective of this study was to determine the potential of aerial imagery to estimate and discriminate growth of cotton crop fertilized with poultry litter and inorganic-N and to recommend an economical rate of poultry litter in combination with inorganic N.
10. Title: Field-Scale Mapping of Soil Physical Properties with Hyperspectral/Multispectral Aerial Imagery
The objective of this study was to explore the relationships between bare soil reflectance (414-920 nm) and surface soil texture (sand, clay), organic matter, and soil moisture. Remotely derived surfaces of soil texture maps has been developed overlaid by the NRCS-soil survey maps of the farm and draped over the LIDAR elevation data. This helped in the identification of different soil types present in the field and will pinpoint any potential drainage problems at the farm level.
11. Title: in-Season Cotton leaf N and Yield Estimation with Remote Sensing
The objective of this study was to model cotton leaf N and lint yield in mid-season and compared with yield monitor (AgLeader) data. A methodology was suggested that could be used for other crops and would enable producers to better manage their crops site-specifically during mid-season.
12. Title: Monitoring of Soil Moisture
The objective of this study was to monitor soil moisture at various depths during the cotton growing season and compare it with the GOSSYM (RHIZOS) output for the soil moisture profile. This was a validation study of the GOSSYM's RHIZOS module.
13. Title: Modeling and Monitoring Soil Erosion with Remote Sensing and GIS
This is a on-going project with the following objective: (a) to use remote sensing for identification and monitoring erosion prone, and eroded agricultural landscape and establish turbidity indices for water quality (b) to use remotely sensed data to derive digital maps of soil types, elevation (RTK-GPS, LIDAR), land use and soil hydrology (c) to model soil erosion in a GIS Geo-WEPP environment using remotely derived thematic maps and (d) to implement the soil conservation practices according to the severity of soil erosion.
PhD Students (Click here)
MS Thesis Supervised (Since 2010)
Modeling of 2010 of Kabul River using HEC-RAS
of Snowmelt Runoff Model in Neelum River Catchments: A Case Study of Climate
Change Impact on Flow Discharge
Urban Storm Water Runoff and Selection of Harvesting Sites
Top Rain Water Harvesting and Runoff using GIS and Remote Sensing: A Case Study
of Pakistan, Muzaffarabad
Hazard Modeling and Risk Assessment using Remote sensing and GIS
and Implementation of a Web-Based GIS For Flood Disaster Management: A Case Study
of Nowshera District
Flood Management: A Case Study of Dera Ghazi Khan City
– A Web GIS Based Flood Awareness and Decision Support System
Modeling in selected catchment of Muzaffarabad using Green Ampt and SCS loss
mapping for aquifer zones using Geoinformatics and geophysical technologies: A
case study of Cholistan Desert
of Hydropower Potential of Astor River Basin Using HEC HMS Model and GIS
Suitability and Temporal Analysis of Uchalli Lake for White Headed Duck
Management Zones Using Multiyear Crop Yield Monitor Data
Water Quality Assessment and its Correlation with Gastroenteritis Using GIS A
Case Study of Rawal Town
Quality Modeling Using Soil And Water Assessment Tool: A Case Study of
Modeling Ground Water Quality Assessment: A Case Study of Peshawar District.
of Best Management Practices Using ArcSWAT: A Case Study of Mansehra Tehsil
Yield Estimation using Satellite Remote Sensing
& Mapping of Potential Sites for Biogas Production using GITs
Texture Classification and Soil Fertility Variability Analysis by RS & GIS
of Soil Erosion using RUSLE and GIS: A case study of Tarbela Sub-Watershed
of Low Cost Soil Moisture Sensor and Wireless System Net Work for crop
Irrigation in GIS
Shigar basin Glacier Changes in Relation to Climate variability
of Soil Moisture using Multispectral and FTIR Techniques
of Climate Change on Wheat Yield by using DSSAT Spatial Model: A case Study of
Rice Yield Forecasting using Landsat 8 Satellite Imagery and Field data
Management Using Remote Sensing and GIS: A Case Study of Kohistan
of Carbon Stocks of Moist Temperate Forest of Pakistan using Remote Sensing
Methods and Forest Inventory
Land Use Change Assessment for REDD+ Monitoring Reporting and Verification
and Potentials Hazard Analysis of Landslide Lake Attaabad – Hunza Pakistan
and Simulation of Glacier Avalanche: A Case Study of Gayari Sector Glaciers
Assessment Gyong Sector Siachen Pakistan
Integrated Approach for Landslide Susceptibility Mapping using Remote Sensing
and GIS in Rawalakot, AJK
Severity Modeling Using RS & GIS: A Case Study of Arid Zone of Tharparkar.
– Temporal Modeling of Malaria Risk Mapping Using GPs A Case Study of
Analysis of Tuberculosis in Relation to Socio-economic and Environmental
Paper Mulberry An Invasive Species and Its Health Impact: A Case Study of
– Temporal Modeling of Land Use/Land Cover Charge Detection Using RS/GIS: A
Case Study Lahore
Oriented Image Analysis for Slum Detection and Mapping, Case Study of Islamabad
site selection in Islamabad using Fuzzy AHP and its Environmental Impact
based Solar and Wind from Site Selection Using Malty Criteria Decision Support
Analysis A Case Study of KPK
of Hyperspectral Imagery for the Identification and Mapping of Minerals
Hazard Analysis of Salt Range Using GIS
Investigation for Locating Petroleum Reservoirs Using Geoinformatics In Meyal,
Potwar Region, Pakistan
GIS for Crime Mapping & Analysis: A Case Study of Hayatabad Peshawar
of Algorithm for Defining Un-Biased Electoral Districts and its Implementation
in a GIS Environment: A Case Study of Rawalpindi District, Pakistan
Based Geo Intelligence Surveillance and Reconnaissance Spatial Decision Support
Peer Reviewed Journal Publications
Anwar, Y. and J. Iqbal. 2018. SPATIO TEMPORAL CHANGE OF SELECTED GLACIERS ALONG KARAKORAM HIGHWAY FROM 1994-2017 USING REMOTE SENSING AND GIS TECHNIQUES. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences 4(3).
Rashid, B. and J. Iqbal. 2018. SPATIOTEMPORAL CHANGE DETECTION IN FOREST COVER DYNAMICS ALONG LANDSLIDE SUSCEPTIBLE REGION OF KARAKORAM HIGHWAY, PAKISTAN. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences 4(3)
Adnan, and J. Iqbal. 2018. GIS-based DRASTIC Model for Groundwater Vulnerability and Pollution Risk Assessment in the Peshawar District, Pakistan. Arabian Journal of Geosciences 1(16), 458.
Shaheen, A., Iqbal, J. & Hussain, S. 2018. Adaptive geospatial modeling of soil contamination by selected heavy metals in the industrial area of Sheikhupura, Pakistan Int. J. Environ. Sci. Technol. (2018). https://doi.org/10.1007/s13762-018-1968-4
Shaheen, A.; Javed Iqbal. 2018. Spatial Distribution and Mobility Assessment of Carcinogenic Heavy Metals in Soil Profiles Using Geostatistics and Random Forest, Boruta Algorithm. Sustainability, 10, 799. https://doi.org/10.3390/su10030799
Amin, Ali; Javed Iqbal; Asghar, Areesha; Ribbe, Lars. 2018. Analysis of Current and Future Water Demands in the Upper Indus Basin under IPCC Climate and Socio-Economic Scenarios Using a Hydro-Economic WEAP Model." Water 10, no. 5: 537. https://doi.org/10.3390/w10050537
Atif, Iqra; Javed Iqbal; Mahboob, Muhammad A. 2018. Investigating Snow Cover and Hydrometeorological Trends in Contrasting Hydrological Regimes of the Upper Indus Basin." Atmosphere 9, no. 5: 162. https://doi.org/10.3390/atmos9050162.
Muhammad Haris Mazhar, Javed Iqbal, Ahsan Mehboob and Iqra Atif. 2018. Modeling spatio-temporal malaria risk using remote sensing and environmental factors. Iranian Journal of Public Health Iranian Journal of Public Health, 47(9), 1280-1290.
Shahid Mehmood Akhtar and Javed Iqbal. 2017. Assessment of emerging hydrological, water quality issues and policy discussion on water sharing of transboundary Kabul River. Water Policy. 19. 650-672. DOI: 10.2166/wp.2017.119.
Zaheer Ul Islam, Javed Iqbal, Junaid Aziz Khan, and Waqas A. Qazi. (2016). Palaeochannel delineation using Landsat 8 OLI and Envisat ASAR image fusion techniques in Cholistan desert, Pakistan. J. Appl. Remote Sens. 10(4), 046001, doi: 10.1117/1.JRS.10.046001.
Sami Ullah Shah, and Javed Iqbal (2016) Spatial–temporal variations of vegetation and drought severity across Tharparkar, Pakistan, using remote sensing-derived indices. J. Appl. Remote Sens. 10(3), 036005 (2016), doi: 10.1117/1.JRS.10.036005.
Munir, B. A., & Iqbal, J. (2016). Flash flood water management practices in Dera Ghazi Khan City (Pakistan): a remote sensing and GIS prospective. Natural Hazards, 81(2), 1303–1321. http://doi.org/10.1007/s11069-015-2136-5.
Younis, S. M. Z., & Iqbal, J. (2015). Estimation of soil moisture using multispectral and FTIR techniques. The Egyptian Journal of Remote Sensing and Space Science, 18(2), 151–161. http://doi.org/10.1016/j.ejrs.2015.10.001.
Ahmad, S., and Iqbal. J. (2016). Transboundary impact assessment of Indian dams: A case study of Chenab River Basin in perspective of Indus Water Treaty. Water Policy 18 (2016) 545–564. doi: 10.2166/wp.2015.137.
Mahboob, M., Atif, I., & Iqbal, J. (2015). Remote Sensing and GIS Applications for Assessment of Urban Sprawl in Karachi, Pakistan. Science, Technology and Development, 34(3):179-188. DOI:10.3923/std.2015.179.188.
Atif, I., Iqbal, J., & Mahboob, M. (2015). Snow Cover Area Change Assessment in 2003 and 2013 Using MODIS Data of the Upper Indus Basin Pakistan. Journal of Himalayan Earth Sciences, 1-23. [In Press]
Mahboob, M. A., Iqbal, J., and Atif, I. 2015. Modeling and Simulation of Glacier Avalanche: A Case Study of Gayari Sector Glaciers Hazards Assessment. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 53 ( 11):5824-5834. Shahid, S. U. and Iqbal, J. 2014. Groundwater Quality Assessment and its Correlation with Gastroenteritis using GIS: A Case Study of Rawal Town, Rawalpindi, Pakistan. Environmental Monitoring and Assessment. 186(11): 7525-7537
Zaheer, Ahmed and Javed Iqbal. 2014. Evaluation of Landsat TM5 Multispectral Mapping of Surface Soil Texture and Organic Matter in GIS. European Journal of Remote Sensing. 47: 557-573
Adnan, and J. Iqbal. 2014. Spatial analysis of the groundwater quality in the Peshawar district, Pakistan. Procedia Engineering. 70 : 14–22
Iqbal, J., J. J. Read and F. D. Whisler. 2013. Using remote sensing and soil physical properties for predicting the spatial distribution of cotton lint yield. Turkish Journal of Field Crops, 18(2): 158-165
Iqbal, J., John J. Read and J. Alex Thomasson. 2008. Site specific N application and remote sensing of cotton crop. p. 112-115. in. M. A. Tahir, and M. U. Khattak (ed.) Proc. of 2nd int. Conf. on Advances in Space Technologies, Islamabad, Pakistan, 29th-30th November, 2008.
Iqbal, J., P.R. Owens and Jeffery L. Willers. 2006. Evaluation of remote sensing for weed detection and mapping in cotton field. Journal of Agriculture. 1(4)186-191.
Iqbal, J., J. J. Read, J. Alex Thomasson, and Johnie N. Jenkins. 2005. Relationship between soil-landscape and dryland cotton lint yield. Soil Sci. Soc. Am. J. 69: 872-882.
Iqbal, J., John A. Thomasson, and Johnie N. Jenkins, Phillip R. Owens, Frank D. Whisler. 2005. Spatial variability analysis of soil physical properties of alluvial soils. Soil Sci. Soc. Am. J. 69: 1338-1350.
Ishtiaq Ali, Frank D. Whisler, Javed Iqbal, Johnie N. Jenkins, and James M. Mckinion. 2004. Soil physical properties web-database for GOSSYM and GLYCIM crop simulation models. Agron. J. 96:1706-1710.
Iqbal, J., Whisler, F.D., Read, J.J., Thomasson, A., Jenkins, J.N. 2003. Spatial validation of cotton simulation model in relation to soils and multispectral imagery. Proceedings of Ecosystems Dynamics, Agricultural Remote Sensing and Modeling, and Site Specific Agriculture. 5153:200-207.
Gogineni, S., J.A. Thomasson, Javed Iqbal, J.R. Wooten, B.M. Kolla, and R. Sui. 2004. Remote sensing input to GIS-integrated cotton growth model: Preliminary results. infrared Spaceborne Remote Sensing XII. Strojnik, Marija (Ed.). Proc. of the SPIE, Vol. 5544:186-197.
Read, J.J., Iqbal, J., Thomasson, J.A., Willers, J.L., Jenkins, J.N. 2003. Remote sensing in dryland cotton: relationship to yield potential and soil properties. Proceedings of Ecosystems Dynamics, Agricultural Remote Sensing and Modeling, and Site-Specific Agriculture. 5153:61-72.
Iqbal, J. and F. D. Whisler. 2000. Spatial Variability analysis of soil physical properties and validation of GOSSYM/COMAX on selected growth parameters of a cotton crop II. Beltwide Cotton Conf. Proc. 2:1430-1431
Non-Refereed Conference Papers and Abstracts
Atif, I., and Iqbal, J. 2013. Modeling Shigar Basin Glacier Changes in Relation To Climate Variability. Journal of Himalayan Earth Sciences. ISSN: 1994-3237,Online ISSN: 2305-6959. NCEG Peshawar.
Adnan and Iqbal, J. 2013. Spatial modeling of groundwater quality assessment: a case study of Peshawar District. Journal of Himalayan Earth Sciences. ISSN: 1994-3237, Online ISSN: 2305-6959. NCEG Peshawar.
Ali. S., and Iqbal, J. 2013. Geoinformatics based multi-criteria decision support analysis of selection of renewable energy sites: A case study of Khyber Pakhtunkhwa Province, Pakistan. Journal of Himalayan Earth Sciences. ISSN: 1994-3237, Online ISSN: 2305-6959. NCEG Peshawar.
Khan, J., A. and Iqbal, J. 2013. Evaluation of hyperspectral imagery for identification and mapping of minerals in Chitral. Journal of Himalayan Earth Sciences. ISSN: 1994-3237, Online ISSN: 2305-6959. NCEG Peshawar.
Mahboob, M. A., Iqbal, J. and Atif, I. 2012. The Impact of Climate Change: Monitoring of Baltoro Glacier using Geoinformatics. International Conference on Climate Change Opportunities and Challenges, organized by PCST. NUST Islamabad.
Ali, M., Iqbal, J. and Nizami, S., M. 2012. Assessment of Carbon Stocks of Moist Temperate Forests of Pakistan using Remote Sensing Methods and Forest inventory. International Conference on Climate Change Opportunities and Challenges, organized by PCST. NUST Islamabad.
Munir, B., Iqbal, J. and Mahboob, M. A. 2012. Climate Change Impact On Flow Discharge of Neelum River Catchment Using Snowmelt Runoff Model. International Conference on Climate Change Opportunities and Challenges, organized by PCST. NUST Islamabad.
Atif, I., Iqbal, J. and Mahboob, M. A. 2012. Modeling Shigar Basin Glaciers Mass Balance in Relation To Climate Variability. International Conference on Climate Change Opportunities and Challenges, organized by PCST. NUST Islamabad.
Mazher, H., M. and Iqbal, J. 2012. Spatio-Temporal Modeling of Malaria Risk Mapping Using Gi’s: A Case Study of Rawalpindi District. International Conference on Climate Change Opportunities and Challenges, organized by PCST. NUST Islamabad.
Iqbal, J. 2011. Role of RS and Hydrological Modeling in Flood Mapping and Forecasting. international Workshop on Strengthening North-South Cooperation in Climate Change Research: An initiative for Upper indus Basin. ETH- Swiss Federal institute of Technology, Zurich, Switzerland.
Jamil, U., and Iqbal, J. 2011 Customer and network care solutions for telecommunications using Geo-informatics. International Conference on information and Systems Engineering. Dubai, UAE.
Iqbal, J. 2011. Overview of Hydrological Modeling in indus Basin, international Workshop on “Hydro-Meteorological Monitoring of the upper indus basin”. Pakistan Meteorological Department (PMD), Islamabad.
Mahboob, M. A., and Iqbal, J. 2011. Monitoring of Balturo Glacier using Rs and GIS Techniques. International Workshop on “Hydro-Meteorological Monitoring of the upper indus basin”. Pakistan Meteorological Department (PMD), Islamabad.
Jan, Q., and Iqbal, J. 2011. Modeling Flood inundation of River Kabul Using HEC-GeoRAS. international Conference on Flood 2010: A Dialogue to Transform Devastation to Opportunity”. institute of Civil Engineering, School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology, Islamabad, Pakistan.
Iqbal, J., P.R. Owens, B. D. Lee, H.E. Winzeler. 2006. Apparent Conductivity of an Fragiudalf-Glossaqualf Catena in Loess over Illinoisan Till, Southeastern indiana. ASA Abstracts. Madison WI
Winzeler, H. P.R. Owens, B.D. Lee, J. Iqbal, and K. Hart. 2006. Soil Spatial Variability on the Wabash End Moraine, indiana. ASA Abstracts. Madison WI
Owens, P.R., J. Iqbal and D.E. Rowe. 2005. Spatial variability of nutrients in soils following long-term poultry litter applications. ASA Abstracts. Madison WI
Iqbal, J., P. R. Owens, S.M. Brouder, J.A. Thomasson, J. Willers. 2005. Evaluation of AEGIS/Win a Crop Model interface to Simulate Maize Crop Yield under different Soil input Scenarios. ASA Abstracts. Madison WI
Iqbal, J. and Phillip R. Owens. 2005. Field-Scale Mapping of Soil Properties Using Hyperspectral / Multispectral Aerial Imagery. ASA Abstracts. Madison WI
Thomasson, J. A., S. Gogineni, B. M. Kolla, J. M. McKinion, J. Iqbal, and R. Sui. 2004. Remotely sensed plant height input to cotton growth model in GIS framework. in Proc. Beltwide Cotton Conf. Memphis, Tenn.: Nat. Cotton Council. Am.(in press).
Iqbal, J., J. N. Jenkins, A.J. Thomasson, and J. M. Mckinion. 2004. in-season cotton yield variability estimation with remote sensing. in 2004 Agronomy Abstract. Proc. ASA-SSSA-CSCA Meeting, Seattle, WA. Nov. 2-6.
Villarroel, D., Javed Iqbal, Alex J. Thomasson, and Scott D. Stewart. 2003. Evaluation of remote sensing capabilities in weed detection and mapping in cotton. Beltwide cotton conferences, Nashville, TN. p. 1545-1548. January 6-10.
Iqbal, J., J.J. Read, J.A. Thomasson, and J.N. Jenkins. 2003. Using remote sensing, field terrain and geospatial variability analysis of soils in dryland cotton production. Proc Beltwide Cotton Conference.
Iqbal, J., F. D. Whisler, I. Ali, J. J. Read, J. A. Thomasson, J. M. McKinion, J. L. Willers, and J. N. Jenkins. 2003. Spatial validation of cotton simulation model in relation to soils and multispectral imagery. in Proc. Beltwide Cotton Conf. Memphis,Tenn.: Nat. Cotton Council. Am.
Read, J. J., J. Iqbal, , J.A. Thomasson, and J.L Willers. 2003. Remote sensing in dryland cotton: relationship to yield potential and soil properties. in Proc. Society for Photo-Optical instrumentation Engineers 48th Annual Meeting. Bellingham, Wash.,SPIE (in press).
Read, J.J., Javed Iqbal, J. A. Thomasson, and J. N. Jenkins. 2002. Determination of yield and soil variability with remote sensing and other spatial data. Mississippi Chapter ASA Meeting, Macon, MS, July 17.
Read, J. J., J. N. Jenkins, J. Iqbal, and J. A. Thomasson. 2002. Site-specific temporal patterns of multispectral reflectance, leaf area index, and plant development in dryland cotton. in Proc. Beltwide Cotton Conf. (in press). Memphis, Tenn.: Nat. Cotton Council Am.
Iqbal, J., J.J. Read, J.A. Thomasson, and J.N. Jenkins. 2002. Remote sensing in dryland cotton: Relationship to field terrain, soil properties and GOSSYM. BSSG Conference, Starkville, MS, March 11-14.
Read, J.J., Javed Iqbal, S. D. Stewart, and J.N. Jenkins. 2002. Classification of plant growth regulator treatments using multispectral and hyperspectral reflectance data. Proc Beltwide Cotton Conference
Ishtiaq Ali, Frank D. Whisler and Javed Iqbal. 2002. Oracle web-database for soil physical properties and GOSSYM, GLYCIM model files. BSSG Conference, Mississippi State University, MS, March 11-14.
Iqbal, J., J.J. Read, J.A. Thomasson, and J.N. Jenkins. 2002. Site-specific temporal patterns of multispectral reflectance, leaf area index, and plant development in dryland cotton. Proc Beltwide Cotton Conference (Oral Presentation).
Iqbal, J. and F. D. Whisler. 2000. Spatial variability analysis of soil physical properties and validation of GOSSYM/COMAX on selected growth parameters of cotton crop I. 5th international Conference on Precision Agriculture. Bloomington, Minnesota USA. July 16-19. p. 221.
Iqbal, J. and F. D. Whisler. 1999. Spatial changes in soil water content, leaf water potential and GOSSYM validation. Bio. Sys. Sim. Group. Abstract 29:22. Kansas State University (Oral Presentation).
Iqbal, J. and J. A. Ferguson. 1995. Comparisons of measured and predicted soil temperature using SURFTEMP model. Annual Meeting Abstracts. A.S.A., C.S.S., S.S.S. p.283.
Non-Peer Reviewed Technical Reports
1. Armstrong, Shalamar, Phillip Owens, Javed Iqbal and Douglas Smith. 2006. Spatial Variability of Nutrients in Soils Following Long-Term Poultry Litter Applications. Site Specific Management Center Newsletter. http://www.agriculture.purdue.edu/ssmc/Frames/SSMCnewsletter12_2006.pdf
2. Owens, P.R., J. Iqbal and D.M . Miles. 2006. Using Geostatistics to Determine Spatial Variability of Nutrients within a Poultry House. http://www.agriculture.purdue.edu/ssmc/Frames/SSMCnewsletter3_06.pdf
3. Iqbal, J., Phillip R. Owens Ishtiaq Ali Frank D. Whisler. 2005. A Web-Database of Soil Physical Properties for Crop and Environmental Modeling. http://www.agriculture.purdue.edu/ssmc/Frames/SSMC%20_newsletter_9_05.pdf
4. Iqbal, J., Phillip R. Owens, H. Tewolde, D. E. Rowe, Bruce Erickson. 2005. Using Multispectral Aerial Imagery to Estimate the Growth of Cotton Fertilized With Poultry Litter and inorganic Nitrogen. http://www.agriculture.purdue.edu/ssmc/Frames/SSMC_NewsLetter_7_2005.pdf
1. July 2009 - Present: Associate Professor & Head of the Department, IGIS, NUST, Islamabad.
Teaching to UG and PG Students:
a. Advance Spatial Data Analysis & Modeling
b. Advance GIS
c. Spatial Data Analysis
d. GIS & RS Applications in Agric.
e. Research Methodology
2. May 2008 - July 2009: Assistant Professor, Dep. of Env. Sci., COMSATS, Abbottabad.
Taught to UG and PG Students
a. Introduction to GIS and Remote Sensing
b. Research Methodology in Environmental Science
c. GIS & Environment
d. Hydrology & Water Resources Management
3. May 2005 - November 2008: Post-Doc Research Associate, Dep. of Agronomy, Lilly Hall of Life Sciences, 915 W. State Street, Purdue University, USA.
Taught to PG Students:
a. Application of GIS and Remote Sensing in Soils
4. January 2001 - April 2005: Research Soil Scientist, USDA-ARS, USA
Taught to UG and PG Students:
a. Advance Soil Physics
b. Physical Edaphology
5. May 1989 - 1996: Lecturer, Department of Soil Sciences, Peshawar University, Pakistan
Taught to UG and PG Students:
a. Introduction to Soil Science
b. Introductory Soil Fertility & Plant Nutrition
c. Soil-Plant-Atmosphere Relationship
d. Introduction to weather