Ram Avtar

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Associate Professor

Hokkaido University

Japan

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About

Dr. Ram Avtar is an Associate Professor at Hokkaido University in Japan. His research areas include land use dynamics, coastal protection, remote sensing applications, and climate resilience. His recent publications examine urban surface metrics, the impacts of extreme flooding, and the use of artificial intelligence for infrastructure mapping. He also explores vegetation water requirements and pollution hotspots, contributing to advancements in environmental science and urban planning.

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2022

Collaborators (10)

K.M. Khedher

College of Engineering

SAUDI ARABIA

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Cuizhen Wang

Professor

University of South Carolina

UNITED STATES

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Hitoshi Tanaka

Professor

Tohoku University

JAPAN

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Teiji Watanabe

Professor

Hokkaido University

JAPAN

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Pankaj Kumar

JAPAN

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Vaibhav Katiyar

Associate professor

Yamaguchi University

JAPAN

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Tetsuya Takemi

教授 / Professor

Kyoto University

JAPAN

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Ali Kharrazi

International Institute for Applied Systems Analysis

AUSTRIA

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uday kiran rage

University of Tokyo

JAPAN

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Hideaki Shibata

Professor

Hokkaido University

JAPAN

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Ram Avtar

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Recent Grants

Articles (20)

Transformative Spatio-Temporal Insights into Indian Summer Days for Advancing Climate Resilience and Regional Adaptation in India

Identifying Micro-Level Pollution Hotspots Using Sentinel-5P for the Spatial Analysis of Air Quality Degradation in the National Capital Region, India

UAS Remote Sensing for Coastal Wetland Vegetation Biomass Estimation: A Destructive vs. Non-Destructive Sampling Experiment

Simulating the Coastal Protection Performance of Breakwaters in the Mekong Delta: Insights from the Western Coast of Ca Mau Province, Vietnam

Influence of Land Use/Land Cover Dynamics on Urban Surface Metrics in Semi-Arid Heritage Cities

Extreme flood significantly altered urban ground deformation patterns: multi-source remote sensing evidence from the 2020 Chongqing flood

Assessing the efficacy of artificial intelligence based city-scale blue green infrastructure mapping using Google Earth Engine in the Bangkok metropolitan region

Daily Water Requirements of Vegetation in the Urban Green Spaces in the City of Panaji, India

Rill Erosion and Drainage Development in Post-Landslide Settings Using UAV–LiDAR Data

Multi-scale characteristics of drought propagation from meteorological to hydrological phases: variability and impact in the Upper Mekong Delta, Vietnam

A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends

Hydrochemical indices as a proxy for assessing land-use impacts on water resources: a sustainable management perspective and case study of Can Tho City, Vietnam

Are Countries Ready for REDD+ Payments? REDD+ Readiness in Bhutan, India, Myanmar, and Nepal

Uncrewed Aerial Systems in Water Resource Management and Monitoring: A Review of Sensors, Applications, Software, and Issues

Heavy Metal Exposures on Freshwater Snail Pomacea insularum: Understanding Its Biomonitoring Potentials

Deep Learning-Based Spatiotemporal Fusion of Unmanned Aerial Vehicle and Satellite Reflectance Images for Crop Monitoring

Quantifying spatio-temporal variation in aquaculture production areas in Satkhira, Bangladesh using geospatial and social survey

Strategic Slum Upgrading and Redevelopment Action Plan for Jammu City

Post-typhoon forest damage estimation using multiple vegetation indices and machine learning models

Understanding Dry and Wet Conditions in the Vietnamese Mekong Delta Using Multiple Drought Indices: A Case Study in Ca Mau Province

Collaborators (10)

K.M. Khedher

Cuizhen Wang

Hitoshi Tanaka

Teiji Watanabe

Pankaj Kumar

Vaibhav Katiyar

Tetsuya Takemi

Ali Kharrazi

uday kiran rage

Hideaki Shibata

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