Hasnat Aslam

Hasnat Aslam

  • Contact Information
  • Publications
  • Background
  • Interests

Contact Information

TitleGIS Specialist II | SNR GSA Representative
Address805 South Hardin Hall
3310 Holdrege Street
Lincoln NE
68583–0988

East Campus
Phone
  • office: 402-472-7185
E-mailhaslam2@unl.edu
VitaeDownload file

 

Contact Preference

Email

Office Hours

M,T,W,R,F

Selected Publications

Castelli, G., Howard, B. C., Adyel, T. M., AghaKouchak, A., Agramont, A., Aksoy, H., … Ceperley, N. (2025). Co-creating water knowledge: a community perspective. Hydrological Sciences Journal. https://doi.org/10.1080/02626667.2025.2571065
Raza, D., Shu, H., Ehsan, M., Fan, H., Abdelrahman, K., Aslam, H., … Sardar, A. (2025). Evaluation of agriculture land transformations with socio-economic influences on wheat demand and supply for food sustainability. Cogent Food & Agriculture, 11(1). https://doi.org/10.1080/23311932.2024.2448597Online
Raza, D., Shu, H., Mirza, S., Aslam, H., Tariq, A., Aslam, R. W., ... & Ali, M. M. (2025). Multicriteria Evaluation of Cropland Suitability using Multisource Datasets of Satellite Remote Sensing and Ground Observation. Physics and Chemistry of the Earth, Parts A/B/C, 103978.
Tadesse, T., Connolly, S., Wardlow, B., Svoboda, M., Zhang, B., Fuchs, B. A., ... & Riganti, C. (2025). Development and Evaluation of the Forest Drought Response Index (ForDRI): An Integrated Tool for Monitoring Drought Stress Across Forest Ecosystems in the Contiguous United States. Forests, 16(7), 1187.
Raza, D., Khushi, M., SHU, H., Aslam, H., Saleem, M.S., Ahmad, A., Mirza, S., Saeed, U. and Khan, S.U., 2024. CA-ANN based LULC prediction and influence assessment on LST-NDVI using multi-temporal satellite images. Environmental Earth Sciences, 83(5), pp.1-20.
Raza, D., Shu, H., Nazeer, M., Aslam, H., Mirza, S., Xiao, X., ... & Aeman, H. (2024). Improved method for cropland extraction of seasonal crops from multi-sensor satellite data. International Journal of Remote Sensing, 45(18), 6249-6284.
Sarzaeim, P., Muñoz-Arriola, F., Jarquin, D., Aslam, H., & De Leon Gatti, N. (2023). CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada. Earth System Science Data, 15(9), 3963-3990.https://doi.org/10.5194/essd-15-3963-2023. Online
Raza, D., H. Shu, S.U. Khan, M. Ehsan, U. Saeed, H. Aslam and R.W. Aslam. 2022. Comparative Geospatial Approach for Agricultural Crops Identification in Inter-Fluvial Plain – A Case Study of Sahiwal District, Pakistan. Pakistan Journal of Agricultural Sciences. 59: 567-578.Online
H. Aslam, A. Ashraf, H. Yaseen and U. Zain, "Specific Sampling Strategy Significance and Impact on Bayesian Sensitivity Analysis for Hydraulic Model", in IUGG General Assembly, Montréal, Québec, Canada, 2019, p. 289.
Raheem, A., Sajid, M., Iqbal, M. S., Aslam, H., Bilal, M., & Rafiq, F. (2019). Microbial Inhabitants of Agriculture Land Have Potential to Promote Plant Growth But They are Liable to Traditional Practice of Wheat (T. Aestivum L) Straw Burninig. Biocatalysis and Agriculture Biotechnology, 18, 101060. Online

Background

Education

DegreeMajorInstitutionYear Awarded
Master of ScienceComputer ScienceVirtual University, Pakistan2021
Master of PhilosophyRemote Sensing and GISPUCIT, University of the Punjab, Pakistan2018
Master of ScienceM.Sc Geographical Information SystemCGIS, University of the Punjab, Pakistan2015
Bachelor of ScienceApplied ScienceUniversity of the Punjab, Pakistan2013

 

Affiliations

 

Professional Organizations

NamePosition
Global Land Program
International Association of Hydrological Science
International Commission of Statistical Hydrology
IUCN, International Union for Conservation of Nature
Mapping Science Institute Australia
National Council for Geographic Education
Python Software Foundation

 

Websites

 

SNR Program Areas

  • Applied Climate and Spatial Science

Areas of Interest/Expertise

  • Climate Change
  • Remote Sensing
  • GIS
  • Hydrology and Hydraulics
  • Data Science
  • Artificial Intelligence