Nobuya Mizoue

According to our database, Nobuya Mizoue authored at least 7 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

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

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

2018

Object-Based Mapping of Aboveground Biomass in Tropical Forests Using LiDAR and Very-High-Spatial-Resolution Satellite Data.

Yasumasa Hirata, Naoyuki Furuya, Hideki Saito, Chealy Pak, Chivin Leng, Sokh Heng, Ma Vuthy, Tsuyoshi Kajisa, Tetsuji Ota, Nobuya Mizoue

Remote. Sens., 2018

2014

Estimation of Airborne Lidar-Derived Tropical Forest Canopy Height Using Landsat Time Series in Cambodia.

Tetsuji Ota, Oumer S. Ahmed, Steven E. Franklin, Michael A. Wulder, Tsuyoshi Kajisa, Nobuya Mizoue, Shigejiro Yoshida, Gen Takao, Yasumasa Hirata, Naoyuki Furuya, Takio Sano, Sokh Heng, Ma Vuthy

Remote. Sens., 2014

2004

Within country accuracy of tree crown transparency estimates using the image analysis system CROCO: a case study from Switzerland.

Nobuya Mizoue, Matthias Dobbertin

Environ. Model. Softw., 2004