Zobrazeno 1 - 10 of 71 pro vyhledávání: '"Yoshio Awaya"'
1
Akademický článek
Estimating Three-Dimensional Distribution of Leaf Area Using Airborne LiDAR in Deciduous Broad-Leaved Forest
Autor: Yoshio Awaya, Kazuho Araki
Publikováno v: Remote Sensing, Vol 15, Iss 12, p 3043 (2023)
We examined the performance of airborne light detection and ranging (LiDAR) data obtained in 2011 for leaf area estimation in deciduous broad-leaved forest using the Beer–Lambert law in Takayama, Gifu, Japan. We estimated leaf area index (LAI, allo
Externí odkaz: https://doaj.org/article/3e7e4796efb8412980439d9fb3db88b4
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2
Akademický článek
Analysis and Prediction of Gap Dynamics in a Secondary Deciduous Broadleaf Forest of Central Japan Using Airborne Multi-LiDAR Observations
Autor: Kazuho Araki, Yoshio Awaya
Publikováno v: Remote Sensing, Vol 13, Iss 1, p 100 (2020)
Gaps are important for growth of vegetation on the forest floor. However, monitoring of gaps in large areas is difficult. Airborne light detection and ranging (LiDAR) data make precise gap mapping possible. We formulated a method to describe changes
Externí odkaz: https://doaj.org/article/0b157a4b124f40bfb071207ffeee826a
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3
Akademický článek
Stand Volume Estimation Using the k-NN Technique Combined with Forest Inventory Data, Satellite Image Data and Additional Feature Variables
Autor: Shinya Tanaka, Tomoaki Takahashi, Tomohiro Nishizono, Fumiaki Kitahara, Hideki Saito, Toshiro Iehara, Eiji Kodani, Yoshio Awaya
Publikováno v: Remote Sensing, Vol 7, Iss 1, Pp 378-394 (2014)
The main objective of this study was to evaluate the effectiveness of adding feature variables, such as forest type information and topographic- and climatic-environmental factors to satellite image data, on the accuracy of stand volume estimates mad
Externí odkaz: https://doaj.org/article/95d561d65f4b46179857d58244198a68
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4
Akademický článek
Estimation of Leaf Area Index in a Mountain Forest of Central Japan with a 30-m Spatial Resolution Based on Landsat Operational Land Imager Imagery: An Application of a Simple Model for Seasonal Monitoring
Autor: Irina Melnikova, Yoshio Awaya, Taku M. Saitoh, Hiroyuki Muraoka, Takahiro Sasai
Publikováno v: Remote Sensing, Vol 10, Iss 2, p 179 (2018)
An accurate estimation of the leaf area index (LAI) by satellite remote sensing is essential for studying the spatial variation of ecosystem structure. The goal of this study was to estimate the spatial variation of LAI over a forested catchment in a
Externí odkaz: https://doaj.org/article/ed1091a1243946a6922f338b0564a957
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5
Akademický článek
Evaluating the Differences in Modeling Biophysical Attributes between Deciduous Broadleaved and Evergreen Conifer Forests Using Low-Density Small-Footprint LiDAR Data
Autor: Yoshio Awaya, Tomoaki Takahashi
Publikováno v: Remote Sensing, Vol 9, Iss 6, p 572 (2017)
Airborne light detection and ranging (LiDAR) has been used for forest biomass estimation for the past three decades. The performance of estimation, in particular, has been of great interest. However, the difference in the performance of estimation be
Externí odkaz: https://doaj.org/article/6b3fb14bbe5f4b2e87355da74597aa75
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6
Estimating Three-Dimensional Distribution of Leaf Area Using Airborne LiDAR in Deciduous Broad-Leaved Forest
Autor: Araki, Yoshio Awaya, Kazuho
Publikováno v: Remote Sensing; Volume 15; Issue 12; Pages: 3043
We examined the performance of airborne light detection and ranging (LiDAR) data obtained in 2011 for leaf area estimation in deciduous broad-leaved forest using the Beer–Lambert law in Takayama, Gifu, Japan. We estimated leaf area index (LAI, allo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::92386e032bb2ca9635ff6318d6a1d307
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8
Analysis and Prediction of Gap Dynamics in a Secondary Deciduous Broadleaf Forest of Central Japan Using Airborne Multi-LiDAR Observations
Autor: Yoshio Awaya, Kazuho Araki
Publikováno v: Remote Sensing; Volume 13; Issue 1; Pages: 100
Remote Sensing, Vol 13, Iss 100, p 100 (2021)
Gaps are important for growth of vegetation on the forest floor. However, monitoring of gaps in large areas is difficult. Airborne light detection and ranging (LiDAR) data make precise gap mapping possible. We formulated a method to describe changes
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fb61c035ecaf6c42077a71ca83f4d7b
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