Acharya, P., Biradar, C., Louhaichi, M., Ghosh, S., Hassan, S., Moyo, H. and Sarker, A. (2019). Finding a Suitable Niche for Cultivating Cactus Pear (Opuntia ficus-indica) as an Integrated Crop in Resilient Dryland Agroecosystems of India, Sustainability, 11(21), p.5897.
Alanbari, M.A., Al-Ansari, N., Jasim, H. K., and Knutsson, S., Qadaa, Al-M. (2014). Landfill Site Selection Using GIS and Multicriteria Decision Analysis, Engineering, vol. 06, no. 09, pp. 526-549.
Ali, A S.K., and Ahmad A. (2019). Analysis of Chemical and Heavy Metal Concentrations of Leachates and Impact on Groundwater Quality Near Dhapa Dumping Ground, Kolkata, Asian Profile, Vol. 47, No. 1.
Ali, A S.K., and Ahmad A. (2020). Suitability analysis for municipal landfill site selection using fuzzy analytical hierarchy process and geospatial technique, Environmental Earth Science, 79:227 https://doi.org/10.1007/s12665-020-08970-z
Alkaradaghi, K., Ali, S.S, Nadhir, A.A, Laue, J., and Chabuk, A. (2019). Landfill Site Selection Using MCDM Methods and GIS in the Sulaimaniyah Governorate, Iraq, Environmental Behaviour and Collective Decision Making, https://doi.org?10.3390/su11174530.
Amani, M, Ghorbanian, A., Ali, S.A., Mohammad K. (2020). Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/JSTARS.2020.3021052.
Center for International Earth Science Information Network - CIESIN - Columbia University. (2018). Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H49C6VHW.
Chabuk, J.A., Al-Ansari, N., Hussain, M.H., Knutsson, S., Pusch, R. (2017). GISbased assessment of combined AHP and SAW methods for selecting suitable sites for landfill in Al-Musayiab Qadhaa, Babylon, Iraq, Environmental Earth Sciences, Article 209.
Fuentes, I., Padarian, J., Ogtrop, F.V., and Vervoort, R.W. (2019). Comparison of surface water volume estimation methodologies that couple surface reflectance data and digital terrain models, Water, vol. 11, no. 4, Art. no. 780.
Funk, C., Pete, P., Martin, L., Diego, P., James, V., Shraddhanand, S., Gregory, H., James, R., Laura, H., Andrew, H., and Joel, M. (2015). The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. Scientific Data 2, 150066. doi:10.1038/sdata.2015.66 .
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., and Moore, R. (2017). Google earth engine: Planetary-scale geospatial analysis for everyone, Remote Sens. Environ., vol. 202, pp. 18–27.
Kaur, J, and Shekhar, C. (2020). Multimodal medical image fusion using deep learning. Advances in Computational Techniques for Biomedical Image Analysis. https://doi.org/10.1016/B978-0-12-820024-7.00002-5.
Khan, A.S., Chaabane, A., and Dweiri, T.F. (2018). Multi-Criteria Decision-Making Methods Application in Systematic Literature Review, Multi-Criteria Methods and Techniques Applied to Supply Chain Management ,doi: 10.5772/intechopen.74067
Kim, K.R., and Owens, G. (2010). Potential for enhanced phytoremediation of landfills using biosolids–a review. Journal of Environmental Management, 91(4): 791–797
KMC. (2010). Methane to Market: Assessment report. https://www.globalmethane.org/Data/ 1128_Dhapa.Assessment.Report.4-27-10.pdf.
Kumar, L., and Mutanga, O. (2018). Google Earth Engine applications since inception: Usage, trends, and potential, Remote Sens., vol. 10, no. 10, Art. no. 1509.
Marcomini A, Suter II GW, Critto A. (2008). Decision support systems for risk-based management of contaminated sites. Springer Science & Business Media
Matejczyk, M., Paza, G.A., Naêcz-Jawecki, G., Ulfig, K., Markowska-Szczupak, A. (2011). Estimation of the environmental risk posed by landfills using chemical, microbiological and ecotoxicological testing of leachates. Chemosphere, 82(7): 1017–1023
Nath, S.K., Adhikar,i M.D., Maiti, S.K., Devaraj, N., Srivastava, N., Mohapatra, L.D. (2014). Earthquake scenario in West Bengal with emphasis on seismic hazard microzonation of the city of Kolkata, India. Natural Hazards and Earth System Sciences. 14(9):2549-75.
Paoli, L., Corsini, A., Bigagli, V., Vannini, J., Bruscoli, C., Loppi, S. (2012). Long-term biological monitoring of environmental quality around a solid waste landfill assessed with lichens. Environmental Pollution, 161: 70–75
Peter, B.G., Messina, J.P., Lin, Z., and Snapp, S.S. (2020). Crop climate suitability mapping on the cloud: a geovisualization application for sustainable agriculture. Scientific Reports, 10(1), pp.1-17.
Ravanelli, R. (2018), Monitoring the impact of land cover change on surface urban heat island through Google Earth Engine: Proposal of a global methodology, first applications and problems, Remote Sens., vol. 10, no. 9, Art. no. 1488.
Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill, New York.
Swain, K.C., Singha, C. and Nayak, L. (2020). Flood susceptibility mapping through the GIS-AHP technique using the cloud. ISPRS International Journal of Geo-Information, 9(12), p.720.
Wang, L., Yan J., and Ma, Y. (2019). Cloud Computing in Remote Sensing. Chapman and Hall/CRC ISBN: 978-1138594562. DOI: 10.1201/9780429488764.
WBPCB. (2015). Environmental and social management plan for containment of Dhapa Dumpsite Final Report.
Yang, Z., Li, W., Chen, Q., Wu, S., Liu, S., and Gong, J. (2019). A scalable cyberinfrastructure and cloud computing platform for forest above ground biomass estimation based on the Google Earth Engine, Int. J. Digit. Earth, vol. 12, no. 9, pp. 995–1012.
Yalew, S.G., Van Griensven, A. and van der Zaag, P. (2016). AgriSuit: A web-based GIS-MCDA framework for agricultural land suitability assessment. Computers and Electronics in Agriculture, 128, pp.1-8.