Keywords
Profile
Tsutsumida Narumasa
| ■Faculty: | Graduate School of Science and Engineering | ■TEL: | ||
| ■Position: | Associate Professor | ■FAX: | ||
| ■Address: | 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama 338-8570, JAPAN | ■Mail Address: | ||
| ■Web site: |
Profile
Assigned Class
- International Institute for Resilient Society
Academic Background
- Degree
Research
Books, Articles, etc.
- Articles
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Perspective: Improving the accuracy of plant phenology observations and land-cover and land-use detection by optical satellite remote-sensing in the Asian tropics
,Frontiers in Forests and Global Change,6 2023
Shin Nagai, Chifuyu Katsumata, Tomoaki Miura, Narumasa Tsutsumida, Tomoaki Ichie, Ayumi Kotani, Michiko Nakagawa, Lip Khoon Kho, Hideki Kobayashi, Tomo’omi Kumagai, Shunsuke Tei, Runi anak Sylvester Pungga, Taizo Yamada, Akihiro Kameda, Masayuki Yanagisawa, Kenlo Nishida Nasahara, Hiroyuki Muraoka, Kazuhito Ichii and Yuji Tokumoto -
The Impact of Changes in Anthropogenic Activity Caused by COVID-19 Lockdown on Reducing Nitrogen Dioxide Levels in Thailand Using Nighttime Light Intensity
,Sustainability,15:4296 2023
Thongrueang, N., Tsutsumida, N., Nakaya, T. -
Prediction of the visit and occupy of the sika deer (Cervus nippon) during the summer season using a virtual ecological approach
,scientific reports,13(4007) 2023
Takeshi Osawa, Narumasa Tsutsumida, Hayato Iijima, Kimiko Okabe -
Monitoring of cherry flowering phenology with Google Trends
,Plos One,17(7):e0271648 2022
Shin N., Kotani A., Tei S., Tsutsumida N. -
Assessing the potential repercussions of the COVID-19 pandemic on global SDG attainment
,Discover Sustainability,3:2 2022
Doi H., Osawa T., Tsutsumida N. -
Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan
,Remote Sensing,14:2017 2022
Tsutsumida N., Nagai S., Miura T. -
Mapping cherry blossoms from geotagged street-level photos
,bioRxiv 2022
Funada S. and Tsutsumida N. -
gwpcorMapper: an interactive mapping tool for exploring geographically weighted correlation and partial correlation in high-dimensional geospatial datasets
,Journal of Geovisualization and Spatial Analysis,6:17 2022
Percival J., Tsutsumida N., Murakami D., Yoshida T., Nakaya T. -
Flood vulnerability assessment at the local scale using remote sensing and GIS techniques: a case study in Da Nang City
,Journal of Water and Climate Change,13(9):3217–3238 2022
Tran T.A., Saizen I., Tsutsumida N., Venkatesh R., Le N.H., Nguyen V.A., Nguyen V.L., Thi T.N., Truong P.M. -
Large, concealed islands in the urban sea: Scattered surrounding green space enhances the quality of grassland habitats in urban parks, Tokyo
,Urban Ecosystems 2022
Ohata S., Osawa T., Sato N., Tsutsumida N. -
A GIS-based Approach for Flood Vulnerability Assessment in Hoa Vang District, Danang City, Vietnam
,IOP Conference Series: Earth and Environmental Science,652(1):012003 2021
TT An, V Raghavan, NV Long, S Izuru, N Tsutsumida -
Carbon Stock Estimation of Selected Watersheds in Laguna, Philippines Using InVEST
,Philippine Journal of Science,150(2):501-513 2021
JJV Dida, CL Tiburan Jr, N Tsutsumida, I Saizen -
Impact of continuous Jakarta megacity urban expansion on the formation of the Jakarta-Bandung conurbation over the rice farm regions
,Cities,111:103000 2021
E Rustiadi, AE Pravitasari, Y Setiawan, SP Mulya, DO Pribadi,N Tsutsumida -
Usefulness of Social Sensing Using Text Mining of Tweets for Detection of Autumn Phenology
,Frontiers in Forests and Global Change 2021
Nagai S., Maruya Y., Saito T.M., Tsutsumida N. -
Mapping Fragmented Impervious Surface Areas Overlooked by Global Land-Cover Products in the Liping County, Guizhou Province, China
,Remote Sensing,12(9):1527 2020
Zhao J. and Tsutsumida N. -
Scalable GWR: A linear-time algorithm for large-scale geographically weighted regression with polynomial kernels
,Annals of the American Association of Geographers,111(2):459-480 2020
Murakami D., Tsutsumida N., Yoshida T., Nakaya T., Lu B. -
gwpcorMapper: an interactive mapping tool for exploring geographically weighted correlation and partial correlation in high-dimensional geospatial datasets
,Arxiv
Percival J., Tsutsumida N., Murakami D., Yoshida T., Nakaya T. - Presentation
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Social Sensing: An important research resource
National Geographic Science Agora 202210
Narumasa Tsutsumida -
Geographically Varying Coefficient Regression: GWR-Exit and GAM-On?
15th International Conference on Spatial Information Theory (COSIT 2022),15th International Conference on Spatial Information Theory (COSIT 2022),240:13:1--13:10 202209
Comber A., Harris P., Murakami D., Tsutsumida N., Brunsdon C. -
A Comparison of Geographically Weighted Principal Components Analysis Methodologies
15th International Conference on Spatial Information Theory (COSIT 2022),15th International Conference on Spatial Information Theory (COSIT 2022),240:21:1--21:6 202209
Tsutsumida N., Murakami D., Yoshida T., Nakaya T., Binbin L., Harris P., and Comber A. -
Large-Scale Spatial Prediction by Scalable Geographically Weighted Regression
15th International Conference on Spatial Information Theory (COSIT 2022),15th International Conference on Spatial Information Theory (COSIT 2022),240:12:1--12:5 202209
Murakami D., Tsutsumida N., Yoshida T., and Nakaya T. -
Land cover classification from street-level photos
IGARSS2022,2022 IEEE International Geoscience and Remote Sensing Symposium:5524-5526 202207
Tsutsumida N., Zhao J., Nasahara K., and Tadono T. -
Mapping cherry blossoms from geotagged street-level photos
IGARSS2022,2022 IEEE International Geoscience and Remote Sensing Symposium:5645-5647 202207
Funada S. and Tsutsumida N. -
Estimating Land Cover from Geo-tagged Street-level Photos
AGU Fall meeting 2021 202112
Tsutsumida N., Zhao J., Nasahara K. and Tadono T. -
Stable geographically weighted Poisson regression for count data
GIScience,GIScience 2021 Short Paper Proceedings 202109
Murakami D., Tsutsumida N., Yoshida T., Nakaya T., Lu B. and Harris P. -
Geographically weighted regression for compositional data: An application to the U.S. household income compositions
GIScience,GIScience 2021 Short Paper Proceedings 202109
Yoshida T., Murakami D., Seya H., Tsutsumida N., and Nakaya T. -
Deep learning with 3D laser data to identify tree species
silvilaser 202109
Kato A. and Tsutsumida N. -
Himawari-8 AHI NDVI Temporal Signature Variability of Broadleaf Deciduous Forests Along Temperature, Elevation, and Latitudinal Gradients in Northern Japan
JpGU 202105
Miura T., Nagai S., Tsutsumida N., Yamamoto Y. -
Geographically weighted regression for compositional data
Data Science Workshop, Center for Data Science and Service Research, Tohoku University 202101
Yoshida T., Murakami D., Seya H., Tsutsumida N., Nakaya T. -
A Geographically Weighted Total Composite Analysis for Soft Classification
IGARSS,IGARSS 2020:874−876 202009
Tsutsumida N., Yoshida T., Murakami D.,Nakaya T.