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Mirza Waleed

PhD Researcher👨‍🔬🎓 - Google Developer Expert in Earth Engine 🌍

| Remote Sensing & GIS 🛰️ | Disaster Risk Management 🌊 | Land-Use Land-Cover🌆 |

I am doing my PhD in Geography from Department of Geography at the Hong Kong Baptist University.

My research interest includes: Geographic Information Science (GIS), remote sensing, and environmental modeling. More specifically, I am interested in applying geospatial techniques, machine learning, and cloud computing (e.g., Google Earth Engine) to study environmental change, to aid disaster management, and to study floods.

GDE: I have been nominated as a Google Developer Expert (GDE) in Earth Engine category.

Besides, I'm a (5 star rated & Level-1) Fiverr seller and provides Google Earth Engine based consultancy services. I have ~5 years of experience in geospatial domain, and have worked on more then 100 projects on Remote Sensing, GIS and GEE.

My current aim is to create open-sourced tools which can simplify the conventional geospatial analysis. Furthermore, I am actively creating blogs/tutorials/workshops for geospatial analysis, specifically on the use of GEE for different environmental applications.

For more information please see my Portfolio Website

           

My Tools:

                       

Mirza Waleed's Projects

30daymap-2023 icon 30daymap-2023

Repository for hosting materials for my 30 Day Map Challenge (2023) Journey!

arcpy-tools icon arcpy-tools

The repository contains arcpy scripts, toolbox, and models compatible with ArcGIS Pro

bwp-waleed2022 icon bwp-waleed2022

The repository contains resources (data, scripts, and apps) for Waleed et al. (2022) paper on Bahawalpur

earthengineprojects icon earthengineprojects

A repository containing open-sourced projects (mostly my contributed) on the use of Google Earth Engine for various environmental applications.

flood-susceptibility-mapping-ml icon flood-susceptibility-mapping-ml

The repository contains the data for the paper "Enabling Efficient Flood Susceptibility Mapping Based on Comparative Performance Evaluation of Machine Learning Models"

fsm-pk icon fsm-pk

The repository contains data for upcomming paper on "An Integrated Approach based Machine Learning Framework for High-resolution Flood Susceptibility Mapping and Exposure Analysis at a national scale: A Case Study of Pakistan"

gee_py_ml icon gee_py_ml

This repository contains materials for the workshop on Google Earth Engine Python API for ML-based Classification

geotools icon geotools

The repository contains python based tools for different geospatial applications

global_flood_mapper icon global_flood_mapper

This repository contains links to the Global Flood Mapper (GFM). Usage instructions are given here. For more details, please check the journal article titled "Global Flood Mapper: A novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR."

hazard_prediction_linearmodel icon hazard_prediction_linearmodel

One of the parameter of the earthquake data as csv file is predicted with help of Lineer Regression, an algorithm of Machine Learning.

lulc_pk icon lulc_pk

A repository containing data for the paper" Urbanization-led land cover change impacts terrestrial carbon storage capacity: A high-resolution remote sensing-based nation-wide assessment in Pakistan (1990–2020)"

lulc_py icon lulc_py

A framework for land-use classification using open sourced python based geospatial modules.

ml-road icon ml-road

Machine Learning Resources, Practice and Research

pu-waleed2022 icon pu-waleed2022

The repository contains resources (data, scripts, and apps) for Waleed & Sajjad (2022) paper on Punjab saptio temporal assessment of LULC and LST.

rice_gee icon rice_gee

This repository contains data for Waleed et al., 2022 paper on "Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation"

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