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Dr. Javed Iqbal (HEC Approved Supervisor)
Head of Department
Geographical Information System & Remote Sensing

IGIS
National University of Sciences and Technology (NUST)
IGIS Building (1st Floor)
Tel : 051-9085-4473

Specialization
GIS and RS Application in Natural Resource Management

Education
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 an Associate Professor  & Head of Department in the Institute of Geographical Information Systems (IGIS), School of Civil & Environmental Engineering (SCEE). His research interests are centered 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. & Agric. Engineering Dept. & USDA-ARS, MSU, USA, for 5 years where he was working on a collaborative interdisciplinary projects “Modeling and Risk Management with Remote Sensing and Other Spatial Data” and “Remote-Sensing Based System Characterization and Management with an interdisciplinary Team Approach”. During his PhD program 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; Modeling 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 program in Remote Sensing & GIS and 4 year BE Geoinformatics programs 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 a HEC approved supervisor and currently supervising 5 PhD students. He has supervised over 50 MS graduate students towards completion of their Master thesis.

Research Interest:

Geographic Information System & Remote Sensing Application in Natural Resources Management, Hydrological Modeling, Natural Hazard & Disaster, Glaciology, Site-Specific Agric., Epidemiology and Water Resources management.

 

Research Experience:

1.    July, 2009-present, Associate Professor & Head of the Department, IGIS, NUST, Islamabad.

Supervising: 12 MS and 5 PhD students research.

2.    May, 2008- July, 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, Pesh. Univ. 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.

 

Funded Projects:

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

Amount: $1,650,230

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

Amount: $1,110,004

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)

Trans-Boundary River

1.    Trans-boundary environmental and hydrological impact assessment of Indian Dams: A case study of Chenab River Basin.

2.    Hydrological and Environmental Impact Assessment of Trans-Boundary Kabul and Jhelum Rivers.

Flood/Water

3.    Flood Modeling of 2010 of Kabul River using HEC-RAS

4.    Application of Snowmelt Runoff Model in Neelum River Catchments: A Case Study of Climate Change Impact on Flow Discharge

5.    Modeling Urban Storm Water Runoff and Selection of Harvesting Sites

6.    Roof Top Rain Water Harvesting and Runoff using GIS and Remote Sensing: A Case Study of Pakistan, Muzaffarabad

7.    Flood Hazard Modeling and Risk Assessment using Remote sensing and GIS

8.    Design and Implementation of a Web-Based GIS For Flood Disaster Management: A Case Study of Nowshera District

9.    Flash Flood Management: A Case Study of Dera Ghazi Khan City

10.  eFADSS – A Web GIS Based Flood Awareness and Decision Support System

11.   Hydrologic Modeling in selected catchment of Muzaffarabad using Green Ampt and SCS loss methods

12.   Palaeochannels mapping for aquifer zones using Geoinformatics and geophysical technologies: A case study of Cholistan Desert

13.   Assessment of Hydropower Potential of Astor River Basin Using HEC HMS Model and GIS

Environment/Water Quality

14.   Ecological Suitability and Temporal Analysis of Uchalli Lake for White Headed Duck

15.   Delineation Management Zones Using Multiyear Crop Yield Monitor Data

16.   Ground Water Quality Assessment and its Correlation with Gastroenteritis Using GIS A Case Study of Rawal Town

17.   Water Quality Modeling Using Soil And Water Assessment Tool: A Case Study of Rawal Watershed

18.   Spatial Modeling Ground Water Quality Assessment: A Case Study of Peshawar District.

19.   Implementation of Best Management Practices Using ArcSWAT: A Case Study of Mansehra Tehsil

Agriculture

20.   Wheat Yield Estimation using Satellite Remote Sensing

21.   Identification & Mapping of Potential Sites for Biogas Production using GITs

22.   Soil Texture Classification and Soil Fertility Variability Analysis by RS & GIS

23.   Assessment of Soil Erosion using RUSLE and GIS: A case study of Tarbela Sub-Watershed

24.   Development of Low Cost Soil Moisture Sensor and Wireless System Net Work for crop Irrigation in GIS

25.   Modeling Shigar basin Glacier Changes in Relation to Climate variability

26.   Estimation of Soil Moisture using Multispectral and FTIR Techniques

27.   Impact of Climate Change on Wheat Yield by using DSSAT Spatial Model: A case Study of Pothohar region.

28.   Regional Rice Yield Forecasting using Landsat 8 Satellite Imagery and Field data

Forestry

29.   Forest Management Using Remote Sensing and GIS: A Case Study of Kohistan

30.   Assessment of Carbon Stocks of Moist Temperate Forest of Pakistan using Remote Sensing Methods and Forest Inventory

31.   Forest Land Use Change Assessment for REDD+ Monitoring Reporting and Verification System

Natural Hazard

32.   Inundation and Potentials Hazard Analysis of Landslide Lake Attaabad – Hunza Pakistan

33.   Modeling and Simulation of Glacier Avalanche: A Case Study of Gayari Sector Glaciers Hazard Assessment

34.   Avalanche Assessment Gyong Sector Siachen Pakistan

35.   An Integrated Approach for Landslide Susceptibility Mapping using Remote Sensing and GIS in Rawalakot, AJK

36.   Drought Severity Modeling Using RS & GIS: A Case Study of Arid Zone of Tharparkar.

Health Care

37.   Spatio – Temporal Modeling of Malaria Risk Mapping Using GPs A Case Study of Rawalpindi

38.   Spatio-Temporal Analysis of Tuberculosis in Relation to Socio-economic and Environmental Factors.

39.   Mapping Paper Mulberry An Invasive Species and Its Health Impact: A Case Study of Islamabad

Urban

40.   Spatio – Temporal Modeling of Land Use/Land Cover Charge Detection Using RS/GIS: A Case Study Lahore

41.   Object Oriented Image Analysis for Slum Detection and Mapping, Case Study of Islamabad

42.   Landfill site selection in Islamabad using Fuzzy AHP and its Environmental Impact Assessment

Renewable Energy
43.   GIS based Solar and Wind from Site Selection Using Malty Criteria Decision Support Analysis A Case Study of KPK

Geology

44.   Evaluation of Hyperspectral Imagery for the Identification and Mapping of Minerals

45.   Seismic Hazard Analysis of Salt Range Using GIS

46.   Structural Investigation for Locating Petroleum Reservoirs Using Geoinformatics In Meyal, Potwar Region, Pakistan

Crime
47.   Web GIS for Crime Mapping & Analysis: A Case Study of Hayatabad Peshawar

Electoral
48.   Development of Algorithm for Defining Un-Biased Electoral Districts and its Implementation in a GIS Environment: A Case Study of Rawalpindi District, Pakistan

Defense
49.   Web Based Geo Intelligence Surveillance and Reconnaissance Spatial Decision Support System

Business

50.   Customer and Network Care Solution for Telecommunications Using Geo-informatics

51.   Spatial Information and Geographical Information Systems: Development of Power Theft Monitoring System

52.   Application of Geoinformatics in Technical Electric Power Loss Calculation and Overloaded Transforms Identification

 


Peer Reviewed Journal Publications 

1.    Muhammad Haris Mazhar, Javed Iqbal, Ahsan Mehboob and Iqra Atif. 2016. Modeling spatio-temporal malaria risk using remote sensing and environmental factors. Iranian Journal of Public Health (In Review)

2.    Naeem Abbas Malik and Javed Iqbal. 2016. Delineation Management Zones Using Multiyears Crop Yield Monitor Data. Italian Journal of Agronomy (In Review).

3.    Shahid Mehmood Akhtar and Javed Iqbal. 2016. Hydrological and Environmental Impact Assessment of Trans-Boundary Kabul River. Water Policy (In Review).

4.   Saima Iftikhar and Javed Iqbal. 2016. Regional Rice Yield Forecasting using Landsat 8 Satellite Imagery and Field data. Journal of Agricultural Science and Technology (In Review).

5.   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.

6.     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.

7.    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.

8.     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.

9.     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.

10.    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.

11.    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]

12.    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. 

13.    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

14.    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

15.    Adnan, and J. Iqbal. 2014. Spatial analysis of the groundwater quality in the Peshawar district, Pakistan. Procedia Engineering. 70 : 14–22

16.    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

17.    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.

18.    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.

19.    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.

20.    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.

21.    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.

22.    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.

23.    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.

24.    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.

25.    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

1.  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.

2.    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.

3.    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.

4.    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.

5.    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.

6.    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.

7.    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.

8.    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.

9.    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.

10.    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.

11.    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.

12.    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.

13.    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.

14.    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.

15.    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

16.    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

17.    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

18.    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

19.    Iqbal, J. and Phillip R. Owens. 2005. Field-Scale Mapping of Soil Properties Using Hyperspectral / Multispectral Aerial Imagery. ASA Abstracts. Madison WI

20.    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).

21.    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.

22.    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.

23.    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.

24.    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.

25.    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).

26.    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.

27.    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.

28.    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.

29.    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

30.    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.

31.    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).

32.    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.

33.    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).

34.    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-Nov. 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.    Jan, 2001-Apr. 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, Dep. of Soil Sciences, Pesh. Univ. 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