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Hideki Saito 0002
Person information
- affiliation: Forestry and Forest Products Research Institute, Tsukuba, Japan
Other persons with the same name
- Hideki Saito 0001 — Intel Corporation, Santa Clara, CA, USA
- Hideki Saito 0003 — Japan Digital Equipment R&D Center, Ltd.
- Hideki Saito 0004 — Utsunomiya University, Japan
- Hideki Saito 0005 — Fujitsu Laboratories Ltd., System LSI Development Laboratories, Kawasaki, Japan
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2020 – today
- 2022
- [j5]Katsuto Shimizu, Tomohiro Nishizono, Fumiaki Kitahara, Keiko Fukumoto, Hideki Saito:
Integrating terrestrial laser scanning and unmanned aerial vehicle photogrammetry to estimate individual tree attributes in managed coniferous forests in Japan. Int. J. Appl. Earth Obs. Geoinformation 106: 102658 (2022) - [c1]Masato Hayashi, Takeo Tadono, Osamu Ochiai, Ko Hamamoto, Sota Hirayama, Hideki Saito, Masayoshi Takahashi, Gen Takao, Takashi Yamanobe, Kazushi Matsuura, Kensuke Fukuda, Takuya Itoh:
Advancement of Logging Monitoring Using ALOS-2/PALSAR-2 for Japanese Forest Management. IGARSS 2022: 4443-4444 - 2021
- [j4]Katsuto Shimizu, Hideki Saito:
Country-wide mapping of harvest areas and post-harvest forest recovery using Landsat time series data in Japan. Int. J. Appl. Earth Obs. Geoinformation 104: 102555 (2021) - 2020
- [j3]Katsuto Shimizu, Tetsuji Ota, Nobuya Mizoue, Hideki Saito:
Comparison of Multi-temporal PlanetScope Data with Landsat 8 and Sentinel-2 Data for Estimating Airborne LiDAR Derived Canopy Height in Temperate Forests. Remote. Sens. 12(11): 1876 (2020)
2010 – 2019
- 2018
- [j2]Yasumasa Hirata, Naoyuki Furuya, Hideki Saito, Chealy Pak, Chivin Leng, Sokh Heng, Ma Vuthy, Tsuyoshi Kajisa, Tetsuji Ota, Nobuya Mizoue:
Object-Based Mapping of Aboveground Biomass in Tropical Forests Using LiDAR and Very-High-Spatial-Resolution Satellite Data. Remote. Sens. 10(3): 438 (2018) - 2015
- [j1]Shinya Tanaka, Tomoaki Takahashi, Tomohiro Nishizono, Fumiaki Kitahara, Hideki Saito, Toshiro Iehara, Eiji Kodani, Yoshio Awaya:
Stand Volume Estimation Using the k-NN Technique Combined with Forest Inventory Data, Satellite Image Data and Additional Feature Variables. Remote. Sens. 7(1): 378-394 (2015)
Coauthor Index
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