Katsuto Shimizu

According to our database, Katsuto Shimizu authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Mapping Land Use/Land Cover Changes and Forest Disturbances in Vietnam Using a Landsat Temporal Segmentation Algorithm.

Katsuto Shimizu, Wataru Murakami, Takahisa Furuichi, Ronald C. Estoque

Remote. Sens., February, 2023

2022

Combining post-disturbance land cover and tree canopy cover from Landsat time series data for mapping deforestation, forest degradation, and recovery across Cambodia.

Katsuto Shimizu, Tetsuji Ota, Nariaki Onda, Nobuya Mizoue

Int. J. Digit. Earth, 2022

Integrating terrestrial laser scanning and unmanned aerial vehicle photogrammetry to estimate individual tree attributes in managed coniferous forests in Japan.

Katsuto Shimizu, Tomohiro Nishizono, Fumiaki Kitahara, Keiko Fukumoto, Hideki Saito

Int. J. Appl. Earth Obs. Geoinformation, 2022

2021

Country-wide mapping of harvest areas and post-harvest forest recovery using Landsat time series data in Japan.

Katsuto Shimizu, Hideki Saito

Int. J. Appl. Earth Obs. Geoinformation, 2021

2020

Causal Analysis of Accuracy Obtained Using High-Resolution Global Forest Change Data to Identify Forest Loss in Small Forest Plots.

Yusuke Yamada, Toshihiro Ohkubo, Katsuto Shimizu

Remote. Sens., 2020

Comparison of Multi-temporal PlanetScope Data with Landsat 8 and Sentinel-2 Data for Estimating Airborne LiDAR Derived Canopy Height in Temperate Forests.

Katsuto Shimizu, Tetsuji Ota, Nobuya Mizoue, Hideki Saito

Remote. Sens., 2020

Accuracy Assessments of Local and Global Forest Change Data to Estimate Annual Disturbances in Temperate Forests.

Katsuto Shimizu, Tetsuji Ota, Nobuya Mizoue

Remote. Sens., 2020

2019

Detecting Forest Changes Using Dense Landsat 8 and Sentinel-1 Time Series Data in Tropical Seasonal Forests.

Katsuto Shimizu, Tetsuji Ota, Nobuya Mizoue

Remote. Sens., 2019