Hatef Dastour

Has grant

Assistant Teaching Professor

University of Missouri Columbia

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Hatef Dastour is an Assistant Teaching Professor at the University of Missouri–Columbia, USA. His research primarily focuses on machine learning applications in environmental science, particularly concerning forest fire management and climate variable analysis. Recent articles include studies on spatiotemporal models for fire management and the influence of climate on vegetation dynamics through remote sensing techniques.

Recent Grants

Grant: Close

Watershed functioning in the face of climate change: integration of satellite and ground base observation

Open Date: 2023-04-01

Close Date: 2024-03-31

Articles (10)

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (3)

Anil Gupta

Adjunct Professor

University of Calgary

CANADA

View details

Quazi K. Hassan

University of Calgary

CANADA

View details

Md. Hanif Bhuian

Graduate Teaching Assistant

University of Calgary

CANADA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Hatef Dastour

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (10)

Comparison of Perimeter Delineation Methods for Remote Sensing Fire Spot Data in Near/Ultra-Real-Time Applications

Active Fire Clustering and Spatiotemporal Dynamic Models for Forest Fire Management

Utilizing MODIS remote sensing and integrated data for forest fire spread modeling in the southwest region of Canada

Analysis of forest fire patterns and their relationship with climate variables in Alberta's natural subregions

Quantifying the Influence of Climate Variables on Vegetation Through Remote Sensing and Multi-dimensional Data Analysis

A multidimensional machine learning framework for LST reconstruction and climate variable analysis in forest fire occurrence

A Comparison of Deep Transfer Learning Methods for Land Use and Land Cover Classification

A Machine-Learning Framework for Modeling and Predicting Monthly Streamflow Time Series

A Robust Regime Shift Change Detection Algorithm for Water-Flow Dynamics

Least-Squares Triple Cross-Wavelet and Multivariate Regression Analyses of Climate and River Flow in the Athabasca River Basin

Collaborators (3)

Anil Gupta

Quazi K. Hassan

Md. Hanif Bhuian

Make your next move.