Ali Reza Shahvaran

Ali Reza Shahvaran
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Ali Reza verified their affiliation via an institutional email.
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Ali Reza verified their affiliation via an institutional email.
University of Waterloo | UWaterloo · Department of Earth and Environmental Sciences

Master of Science
Research Assistant II

About

4
Publications
6,194
Reads
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21
Citations
Introduction
Driven by a passion for environmental sustainability, I am an environmental scientist and engineer with a multidisciplinary background. Over the past five years, I've combined expertise in remote sensing, GIS, hydrologic modeling, and data science to tackle environmental monitoring and climate change challenges. Certified in advanced machine learning and deep learning, I leverage programming skills in Python, MATLAB, and R to develop innovative, data-driven solutions.
Additional affiliations
September 2019 - March 2020
Iran University of Science and Technology
Position
  • Research Assistant
Description
  • Project: The Environmental Report of Meighan Wetland
Education
September 2021 - June 2024
University of Waterloo
Field of study
  • Earth Sciences - Water
September 2020 - August 2021
Iran University of Science and Technology
Field of study
  • Civil Engineering - Environmental
September 2014 - March 2018
Persian Gulf University
Field of study
  • Civil Engineering

Publications

Publications (4)
Article
The creation of tools and services for tracking, estimating, and predicting water resource indices that might provide authorities access to information in close to real-time is essentially a must. The considerable development of Web GIS-DSS (Geographic Information System-Decision Support System) allows for the analysis of geospatial data and scenar...
Article
Full-text available
Chlorophyll-a concentration (Chl-a) is commonly used as a proxy for phytoplankton abundance in surface waters of large lakes. Mapping spatial and temporal Chl-a distributions derived from multispectral satellite data is therefore increasingly popular for monitoring trends in trophic state of these important ecosystems. We evaluated products of elev...
Article
Full-text available
Growing demand for water, as a consequence of population growth, farmland irrigation, and industrial expansion, results in groundwater resources exploitation. This, in combination with droughts induced by climate change, has caused a sharp drop in groundwater levels throughout arid and semiarid countries. In Iran, all these factors are resulting in...

Questions

Questions (9)
Question
I'm developing a machine learning model that requires up-to-date climate data of recent years. However, the historical period in the CMIP6 datasets typically ends in 2014.
Are there any solutions that can provide "historical" climate data extending beyond 2014?
Is it reasonable to use the "SSP 2 RCP 4.5" scenario of 2015-2023 "projection" data as "historical"?
Question
* I am using ENVI 5.6.
* I do not want to use any other AC processor or L2 products.
I have already read several similar Q/A posts on several forums, but that did not help.
If you successfully were able to apply FLAASH on Sentinel 2 L1C images using ENVI, please share your workflow on this post.
This is my workflow, but I keep receiving this error:
1. Adding the data using the "MTD_MSIL1C.xml' file
2. Staking 10m, 20m, and 60m layers using "Build Layer Stack."
3. Converting BSQ encoding to BIL using "Convert Interleave."
4. Adjusting the necessary parameters on the FLAASH module
Question
Digital numbers of adjacent scan lines differ significantly, creating such a noticeable difference. All bands exhibit this problem, not just the RGB. Around 20% of all the images I downloaded for my study area (whether Sentinel 2 A or B) had this problem. I am not sure why.
Question
I am doing a SST study and I am not sure which satellite image to use, I have read some papers, each using different images like Landsat, AVHRR, MODIS and etc. How can I fine a comprehensive comparison?
Question
Are there any differences between weighted sum model (WSM) method & simple additive weighting (SAW) method in multi-criteria decision analysis (MCDA)?

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