Narumasa Tsutsumida

Associate professor

Saitama University

Japan

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Dr. Narumasa Tsutsumida is an Associate Professor at Saitama University, Japan. His research focuses on urban land cover change detection, land cover classification, and the application of advanced statistical models in geography. Recent articles include work on optimizing algorithms for urban land analysis and utilizing deep learning for street-level imagery classification. His contributions also explore plant phenology and the impacts of spatial relationships in ecological studies.

Articles (15)

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2020

Collaborators (7)

Tomoaki Miura

Professor

University of Hawaii at Manoa

UNITED STATES

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Tomoki Nakaya

Professor

Tohoku University

JAPAN

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Hiroyuki Muraoka

Gifu University

JAPAN

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Alexis Comber

Professor of Spatial Data Analytics

University of Leeds

UNITED KINGDOM

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Akihiro Kameda

JAPAN

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Takeshi Osawa

Associate Professor

University of Tokyo

JAPAN

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Tomoaki Ichie

JAPAN

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Narumasa Tsutsumida

Research Interests

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Articles (15)

Comparative Global Assessment and Optimization of LandTrendr, CCDC, and BFAST Algorithms for Enhanced Urban Land Cover Change Detection Using Landsat Time Series

A bayesian inference approach for reducing inter-investigator variability in sampling-based land cover classification

Encapsulating Spatially Varying Relationships with a Generalized Additive Model

Retrieval of cherry flowering phenology on Flickr and YouTube: a case study along the Tarumi railway, Gifu, Japan

Investigating the use of deep learning models for land cover classification from street-level imagery

A linearization for stable and fast geographically weighted Poisson regression

The Impact of Changes in Anthropogenic Activity Caused by COVID-19 Lockdown on Reducing Nitrogen Dioxide Levels in Thailand Using Nighttime Light Intensity

Large, concealed islands in the urban sea: Scattered surrounding green space enhances the quality of grassland habitats in urban parks, Tokyo

Perspective: Improving the accuracy of plant phenology observations and land-cover and land-use detection by optical satellite remote-sensing in the Asian tropics

Geographically weighted accuracy for hard and soft land cover classifications: 5 approaches with coded illustrations

Mapping cherry blossom phenology using a semi-automatic observation system with street level photos

Exploratory Spatial Data Analysis with gwpcorMapper: an Interactive Mapping Tool for Geographically Weighted Correlation and Partial Correlation

Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan

Scalable GWR: A Linear-Time Algorithm for Large-Scale Geographically Weighted Regression with Polynomial Kernels

Mapping Fragmented Impervious Surface Areas Overlooked by Global Land-Cover Products in the Liping County, Guizhou Province, China

Collaborators (7)

Tomoaki Miura

Tomoki Nakaya

Hiroyuki Muraoka

Alexis Comber

Akihiro Kameda

Takeshi Osawa

Tomoaki Ichie

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