I hold a master's degree in remote sensing from K.N. Toosi University of Technology. My passion lies in leveraging remote sensing technologies and datasets to monitor forests, which are vital to terrestrial ecosystems and play a crucial role in resilience against climate change and biodiversity loss. I am particularly focused on utilizing open-source datasets and applying physical models to address environmental challenges.
I have experience working with R in conducting geospatial analysis; however, my primary language of interest is Python, in which I possess great expertise relevant to my field. Additionally, I am completely familiar with leveraging Google Earth Engine, especially through its Python API.
PaRaVis (Parallel Rao's Q Visualization and Analysis) is designed to streamline the extraction of Rao's Q index from diverse vegetation indices (VIs) derived from remote sensing datasets. The tool is organized into three distinct sections. The first one focuses on extracting, visualizing, and allowing users to select from 75 indices. The second part is dedicated to calculating Rao’s Q index in parallel, for both unidimensional and multidimensional modes, utilizing various distance metrics. The last section is tailored to assist users in comprehensively visualizing and analyzing Rao’s Q index outputs through various plots and visualization tools.
PaRaVis Demo
Article Fathi, M. R., Latifi, H., Gholizadeh, H., & Khare, S. (2024). PaRaVis: An automatic Python graphical package for ensemble analysis of plant beta diversity using remote sensing proxies... https://doi.org/10.1016/j.ecoinf.2024.102739
Will Be Accessible After Publication
DiTiMo (Disturbance Time-series Monitoring) is a web application designed to address the urgent need for effective monitoring of forest and terrestrial ecosystems amid rapid environmental changes and biodiversity loss. Utilizing the powerful capabilities of Google Earth Engine, DiTiMo implements a CuSum-based approach to provide precise and near real-time ecosystem monitoring. This globally accessible tool allows users worldwide to monitor ecosystems in real time, employing a variety of multispectral and radar datasets for comprehensive analysis. Additionally, DiTiMo offers tools for visualizing and downloading data at various stages of the process, making it suitable for researchers, environmentalists, and policymakers without requiring extensive hardware or programming experience.
DiTiMo Demo
The DiTiMo tool is currently under restricted access. To request access, please complete the form below:
Thank you for visiting out my profile. If you would like to get into contact with me, please fill out the form below.