Updated on 2024/10/07

Information

 

写真a

 
OTA TETSUJI
 
Organization
Faculty of Agriculture Department of Agro-environmental Sciences Associate Professor
School of Agriculture Department of Bioresource and Bioenvironment（Joint Appointment）
Graduate School of Bioresource and Bioenvironmental Sciences Department of Agro-environmental Sciences（Joint Appointment）
Title
Associate Professor
External link

Degree

  • PhD

Research History

  • 平成19年4月　～　平成20年3月　大分地方検察庁

    平成19年4月　～　平成20年3月　大分地方検察庁

Research Interests・Research Keywords

  • Research theme：Forest management

    Keyword：Forest management

    Research period： 2024

  • Research theme：Remote sensing

    Keyword：Remote sensing

    Research period： 2024

  • Research theme：Forest monitoring using remote sensing

    Keyword：Remote sensing, Forest management

    Research period： 2012.4 - 2020.3

Papers

  • 伐採収益と植栽経費の観点からみた低密度植栽の有効性 Reviewed

    太田 徹志, 高比良 聡, 中間 康介, 吉田 茂二郎, 溝上 展也

    日本森林学会誌   95 ( 2 )   126 - 133   2013.4

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    Language：Japanese   Publishing type：Research paper (scientific journal)  

  • Monitoring tropical forest change using tree canopy cover time series obtained from Sentinel-1 and Sentinel-2 data Reviewed

    Zhe Li, Tetsuji Ota, Nobuya Mizoue

    International Journal of Digital Earth   17 ( 1 )   2024.12   （ ISSN:1753-8947 eISSN:1753-8955 ）

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    Language：Others   Publishing type：Research paper (scientific journal)  

    DOI： 10.1080/17538947.2024.2312222

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  • Landslide susceptibility mapping core-base factors and models' performance variability: a systematic review

    Chicas, SD; Li, H; Mizoue, N; Ota, T; Du, Y; Somogyvári, M

    NATURAL HAZARDS   2024.5   （ ISSN:0921-030X eISSN:1573-0840 ）

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    Publisher：Natural Hazards  

    Landslides cause significant economic, social, and environmental impacts worldwide. However, selecting the most suitable model and factors for landslide susceptibility mapping (LSM) remains challenging due to the diverse factors influencing landslides and the unique environmental settings in which they occur. Here, we conducted a systematic literature review from 2001 to 2021 to identify the main core-base factors and models used in LSM and highlight areas for future research. We found that there is a need for increased research collaboration with leading knowledge-producing countries and research efforts in underrepresented regions such as Africa, Central America, and South America. Of the 31 most used landslide susceptibility factors, we identified the core-base factors slope, elevation, lithology, land use/land cover, and distance from road, which were the most used, top-ranked predictors and commonly used together when mapping landslide susceptibility. Although aspect was the third most used factor, it ranked among the eight least effective predictors of LSM. Among the core-base factors of LSM, road density, elevation, and slope exhibited the least ranking variability as LSM predictors. The most used methods in LSM were random forest, logistic regression, support vector machine, and artificial neural network, with hybrid, ensemble, and deep learning methods currently trending. Random forest was the most accurate of the four most commonly used models, followed by artificial neural networks. However, artificial neural networks exhibited the least performance variability, followed by support vector machines. This comprehensive review provides valuable insights for researchers in selecting appropriate factors and models for LSM and identifies potential areas for future collaboration and research.

    DOI： 10.1007/s11069-024-06697-9

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  • Searching for the optimal acquisition month for bamboo area detection using satellite constellation images

    Inoue Shugo, Ota Tetsuji, Mizoue Nobuya

    Japanese Journal of Forest Planning   57 ( 2 )   45 - 51   2024.3   （ ISSN:09172017 eISSN:21898308 ）

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    Language：Japanese   Publisher：Japan Society of Forest Planning  

    <p>Shugo Inoue, Tetsuji Ota and Nobuya Mizoue: Searching for the optimal acquisition month for bamboo area detection using satellite constellation images. Jpn. J. For. Plann. 57: 45～51, 2024 We verified the optimal month of data acquisition for detecting bamboo areas from satellite remote sensing data. The study area was the area around the former Tachibana Village in Fukuoka Prefecture, and a total of 11 PlanetScope data were obtained from January to December 2022. Machine learning models were applied to each of the 11 satellite data sets to classify them into two classes: bamboo area and non-bamboo area. Classification accuracy was then compared. The overall accuracy was highest in June (91.2%) and lowest in April (74.6%). The overall accuracy was low in January, gradually increased, and then peaked in May and June, followed by a decrease. In the bamboo area detection using data acquired in June, the red band had the highest importance, and the vegetation indices using the red band, green, and near-infrared band also had high importance. We concluded that data acquired in May-June by satellites with red, green, and near-infrared bands should be used to detect bamboo forests.</p>

    DOI： 10.20659/jjfp.57.2_45

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  • The adoption of climate-smart agriculture to address wildfires in the Maya Golden Landscape of Belize: Smallholder farmers' perceptions Reviewed

    Santos Daniel Chicas, Jonas Østergaard Nielsen, Guy M. Robinson, Nobuya Mizoue, Tetsuji Ota

    Journal of Environmental Management   345   118562   2023.11   （ ISSN:0301-4797 eISSN:1095-8630 ）

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    Language：Others   Publishing type：Research paper (scientific journal)  

    Ecosystems around the globe are enduring wildfires with greater frequency, intensity, and severity and this trend is projected to continue as a result of climate change. Climate-smart agriculture (CSA) has been proposed as a strategy to prevent wildfires and mitigate climate change impacts; however, it remains poorly understood as a strategy to prevent wildfires. Therefore, the authors propose a multimethod approach that combines mapping of wildfire susceptibility and social surveys to identify priority areas, main factors influencing the adoption of CSA practices, barriers to their implementation, and the best CSA practices that can be implemented to mitigate wildfires in Belize's Maya Golden Landscape (MGL). Farmers ranked slash and mulch, crop diversification, and agroforestry as the main CSA practices that can be implemented to address wildfires caused by agriculture in the MGL. In order to reduce wildfire risk, these practices should, be implemented in agricultural areas near wildlands with high wildfire susceptibility and during the fire season (February–May), in the case of slash and mulch. However, socio-demographic and economic characteristics, together with a lack of training and extension services support, inadequate consultation by agencies, and limited financial resources, hinder the broader adoption of CSA practices in the MGL. Our research produced actionable and valuable information that can be used to design policies and programs to mitigate the impacts of climate change and wildfire risk in the MGL. This approach can also be used in other regions where wildfires are caused by agricultural practices to identify priority areas, barriers and suitable CSA practices that can be implemented to mitigate wildfires.

    DOI： 10.1016/j.jenvman.2023.118562

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  • Forest conservation effectiveness of community forests may decline in the future: Evidence from Cambodia Reviewed

    Miwa Ota, Tetsuji Ota, Katsuto Shimizu, Nariaki Onda, Vuthy Ma, Heng Sokh, Nobuya Mizoue

    PNAS Nexus   2 ( 10 )   pgad320   2023.9   （ eISSN:2752-6542 ）

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    Language：Others   Publishing type：Research paper (scientific journal)   Publisher：Oxford University Press (OUP)  

    Abstract

    Community forests (CFs) have been widely established in tropical countries as a tool to achieve forest conservation. Many studies have shown that CFs can contribute to the reduction of deforestation, yet studies that evaluate the contribution of CFs to reducing forest degradation and facilitating forest recovery remain scarce. We investigated the ability of CFs to prevent deforestation and forest degradation and to facilitate forest recovery by using a country-scale longitudinal tree canopy cover and forest cover dataset in Cambodia. We found that CFs can prevent both forest degradation and deforestation, but we did not observe a forest recovery effect. We also found that recently established CFs are not effective for forest conservation compared with older CFs. We conclude that, to date, CFs are an effective forest conservation tool; however, this does not necessarily mean that new CFs will be as effective as established ones.

    DOI： 10.1093/pnasnexus/pgad320

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  • Impact of forest type and age on shallow landslide susceptibility: a case study from the 2017 heavy rainfall in northern Kyushu, Japan Reviewed

    Masayasu Nishioka, Haruka Inoue, Tetsuji Ota, Nobuya Mizoue

    Journal of Forest Research   28 ( 6 )   389 - 396   2023.6   （ ISSN:1341-6979 eISSN:1610-7403 ）

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    Language：Others   Publishing type：Research paper (scientific journal)  

    Assessing the impact of forest type and age on shallow landslide susceptibility is important for managing protective functions of forests. Previous studies have examined the correlation between forest types and ages, and shallow landslide susceptibility, but causal effects of forest type and age on shallow landslide susceptibility are yet not clear. This study investigated the causal effect of forest type and age on shallow landslide susceptibility using a propensity score method by combining existing geo-data sets. Here, we focus on shallow landslides caused by an extreme rainfall event on 5–6 July 2017, in the mountainous areas of Asakura City and Toho Village, Fukuoka Prefecture, Japan. Randomly located samples of coniferous forest, broadleaved forest, and young forest exposed to shallow landslide events were analyzed. The inverse probability of treatment weighting with the propensity score was applied to the samples to compare the differences in shallow landslide susceptibility among the three forest classes. Young forest had increased shallow landslide susceptibility, compared with coniferous forest and broadleaved forest, by 3.70 × 10−2 and 4.12 × 10−2, respectively, which corresponded to a two to three times increase in shallow landslide susceptibility when the forest changes from coniferous or broadleaved forest to young forest. No significant difference in shallow landslide susceptibility between coniferous forest and broadleaved forest was observed. These differences in shallow landslide susceptibility should be considered when implementing forest management schemes.

    DOI： 10.1080/13416979.2023.2227820

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  • Movements of Semi-captive Elephants during Skidding Season in Myanmar

    Minn Sie Thu, Ota Tetsuji, Mizoue Nobuya

    Journal of Forest Planning   29 ( 0 )   11 - 15   2023   （ ISSN:1341562X eISSN:21898316 ）

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    Authorship：Corresponding author   Language：English   Publisher：Japan Society of Forest Planning  

    <p>Semi-captive Asian elephants (<i>Elephas maximus</i>) engaged in forestry activities in Myanmar account for 20% of all captive and semi-captive Asian elephants in the world, and are important for both forestry and the conservation of Asian elephant populations. Understanding moving behavior of the semi-captive elephants is required to sustain them. Our specific goals are 1) to determine the moving range during free time, and 2) to determine the hourly moving distance during skidding and when off duty. Three elephants were fitted with handheld global navigation satellite systems with the signals of global positioning system to collect data on their movements. The elephants were generally located between 0.534 and 0.875 km from the camp with temporary housing of the elephant handler when not skidding (i.e., free time) and between 1.365 and 1.372 km when skidding (i.e., work time). The hourly moving distance during free time (0.622–0.655 km) and work time (1.522 and 1.629 km) did not differ greatly from the hourly moving distance of wild Asian elephants (0.010–1.500 km). The elephants remained within 0.875 km of the camp of the elephant handler, and some variation in movements among individuals was observed during free time. Thus, the conservation of forest in areas near the camp is important for the well-being of these elephants.</p>

    DOI： 10.20659/jfp.2022.002

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  • Evaluating ground disturbance at elephant skid trails, logging roads and log landings under the Myanmar selection system Reviewed

    Sie Thu Minn, Nobuya Mizoue, Tetsuji Ota

    Journal of Forest Research   27 ( 6 )   409 - 418   2022.5   （ ISSN:1341-6979 eISSN:1610-7403 ）

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    Language：English   Publishing type：Research paper (scientific journal)  

    There has been growing interest in the practice of reduced-impact logging (RIL) to enhance various ecological services of selectively logged tropical forests. It is thus important to evaluate the effectiveness of different logging operations between RIL and conventional logging (CON). The Myanmar Selection System (MSS) has a long history and is well known for its use of elephants for skidding, which is considered one form of RIL. However, the difference in the impacts of logging operations between the MSS using elephants for skidding and machine-only-based operations commonly adopted in other countries is unknown. The present study evaluated ground disturbance along elephant skid trails, along logging roads and at log landings in four compartments logged under the MSS, comparing with reported values for CON and RIL in the other countries. The ground disturbance in the MSS compartments was, respectively, 2.1% and 0.4% in average for logging roads and log landings; it is not significantly different from that for CON and RIL (p > 0.05). In contrast, the disturbed area along elephant skid trails (0.9%) is much lower than that for CON (5.2%) and RIL (4.7%) (p < 0.05). A large difference in the width of skid trails was found between elephant skidding (1.0 m) and machinery (CON: 5.5 m, RIL: 4.6 m) (p < 0.0001). We conclude that elephant skidding can largely reduce ground disturbance due to much narrower width of the skid trails as compared with machine skidding, while MSS does not differ from the other countries in ground disturbance at logging roads and log landings.

    DOI： 10.1080/13416979.2022.2067618

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

    Katsuto Shimizu, Tetsuji Ota, Nariaki Onda, Nobuya Mizoue

    International Journal of Digital Earth   15 ( 1 )   832 - 852   2022.5   （ ISSN:1753-8947 eISSN:1753-8955 ）

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    Language：English   Publishing type：Research paper (scientific journal)  

    Mapping of deforestation, forest degradation, and recovery is essential to characterize country-level forest change and formulate mitigation actions. Previous studies have mainly used a simple forest/non-forest classification after forest disturbance to identify deforestation and forest degradation. However, a more flexible approach that is applicable to different forest conditions is desirable. In this study, we examined an approach for mapping deforestation, forest degradation, and recovery using disturbance types and tree canopy cover estimates from annual Landsat time-series data from 1988 to 2020 across Cambodia. We developed models to estimate both disturbance types and tree canopy cover based on a random forest algorithm using predictor variables derived from a trajectory-based temporal segmentation approach. The estimated disturbance types and canopy cover in each year were then used in a rule-based classification of deforestation, forest degradation, and recovery. The producer’s and user’s accuracies ranged from 59.1% to 72.9% and 60.8% to 91.6%, respectively, for the forest change classes of mapping deforestation, forest degradation, and recovery. The approach developed here can be adjusted for different definitions of deforestation, forest degradation, and recovery according to research objectives and thus has the potential to be applied to other study areas.

    DOI： 10.1080/17538947.2022.2061618

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  • Geographical factors trump community factors in deforestation risk in two watershed conservation forests in Myanmar

    Khin Thu Wint Kyaw, Tetsuji Ota, Nobuya Mizoue

    Forests   12 ( 5 )   2021.5

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/f12050541

  • Condition of illegally logged stands following high frequency legal logging in bago yoma, myanmar

    Thein Saung, Tual Cin Khai, Nobuya Mizoue, Tetsuji Ota, Tsuyoshi Kajisa

    Forests   12 ( 2 )   1 - 12   2021.2

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/f12020115

  • Harvesting intensity and disturbance to residual trees and ground under Myanmar selection system; comparison of four sites

    Tual Cin Khai, Nobuya Mizoue, Tetsuji Ota

    Global Ecology and Conservation   24   2020.12

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    Language：Others   Publishing type：Research paper (scientific journal)  

    DOI： 10.1016/j.gecco.2020.e01214

  • The effect of weeding frequency and schedule on weeding operation time: a simulation study on a sugi (Cryptomeria japonica) plantation in Japan

    Keiko Fukumoto, Tetsuji Ota, Nobuya Mizoue, Shigejiro Yoshida, Yukio Teraoka, Tsuyoshi Kajisa

    Journal of Forestry Research   31 ( 6 )   2129 - 2135   2020.12

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1007/s11676-019-01017-5

  • Forest degradation impacts firewood consumption patterns: A case study in the buffer zone of Inlay Lake Biosphere Reserve, Myanmar

    Khin Thu Wint Kyaw, Tetsuji Ota, Nobuya Mizoue

    Global Ecology and Conservation   24   2020.12

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1016/j.gecco.2020.e01340

  • Differences in forest use strategies for cash income between households living outside and inside selectively logged production forests in Myanmar

    Thein Saung, Nobuya Mizoue, Tetsuji Ota, Tsuyoshi Kajisa

    Forests   11 ( 12 )   1 - 15   2020.12

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    Language：Others   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/f11121263

  • Accuracy assessments of local and global forest change data to estimate annual disturbances in temperate forests Reviewed

    Katsuto Shimizu, Tetsuji Ota, Nobuya Mizoue

    Remote Sensing   12 ( 15 )   2020.8

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/RS12152438

  • 地上レーザスキャナによる林分構造の推定精度に下層植生とスキャナの設置間隔が及ぼす影響 Reviewed

    末松 直輝, 大政 康史, 太田 徹志, 志水 克人, 福本 桂子, 溝上 展也, 井上 昭夫, 北里 春香, 草野 秀雄, 甲斐 博文

    森林計画学会誌   54 ( 1 )   45 - 54   2020.8

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    Language：Japanese   Publishing type：Research paper (scientific journal)  

    <p>末松直輝・太田徹志・志水克人・福本桂子・溝上展也・井上昭夫・北里春香・草野秀雄・甲斐博文・大政康史：地上レーザスキャナによる林分構造の推定精度に下層植生とスキャナの設置間隔が及ぼす影響，森林計画誌54：45～54，2020 マルチスキャンを用いた地上レーザスキャナ（TLS）による林分構造の推定精度にTLSの設置間隔と下層植生の有無が与える影響を評価した。ヒノキ人工林内に設置した下層植生を完全に除去したプロットと下層植生を残したプロット3つずつを対象に，TLSの設置間隔が5mから20mまで4つのTLS計測パターンで個体検出，胸高直径（DBH）・樹高・幹材積推定を行った。その結果，下層植生がある，もしくは設置間隔が長い場合，TLSの位置合わせや個体検出，DBH推定，樹高推定，幹材積推定の精度が低下した。</p>

    DOI： 10.20659/jjfp.54.1_45

  • A country scale analysis revealed effective forest policy affecting forest cover changes in Cambodia Reviewed

    Tetsuji Ota, Pichdara Lonn, Nobuya Mizoue

    Land Use Policy   95   2020.6

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1016/j.landusepol.2020.104597

  • Comparison of multi-temporal planetscope data with Landsat 8 and Sentinel-2 data for estimating airborne LiDAR derived canopy height in temperate forests Reviewed

    Katsuto Shimizu, Tetsuji Ota, Nobuya Mizoue, Hideki Saito

    Remote Sensing   12 ( 11 )   1876 - 1876   2020.6

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    Language：Others   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/rs12111876

  • 地上レーザスキャナによる樹高推定のための望高法の改良 Reviewed

    越河一樹, 太田徹志, 溝上展也, 山本一清, 井上昭夫

    日本森林学会誌   102   印刷中   2020.4

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  • Post-Harvest stand dynamics over five years in selectively logged production forests in Bago, Myanmar Reviewed

    Tual Cin Khai, Nobuya Mizoue, Tetsuji Ota

    Forests   11 ( 2 )   2020.2

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    Language：Others   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/f11020195

  • Assessing the importance of tree cover threshold for forest cover mapping derived from global forest cover in Myanmar Reviewed

    Kay Khaing Lwin, Tetsuji Ota, Katsuto Shimizu, Nobuya Mizoue

    Forests   10 ( 12 )   2019.12

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    Language：Others   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/F10121062

  • A comprehensive evaluation of disturbance agent classification approaches: Strengths of ensemble classification, multiple indices, spatio-temporal variables, and direct prediction Reviewed

    Katsuto Shimizu, Tetsuji Ota, Nobuya Mizoue, Shigejiro Yoshida

    ISPRS Journal of Photogrammetry and Remote Sensing   158   99 - 112   2019.12

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    DOI： 10.1016/j.isprsjprs.2019.10.004

  • Land use change detection and prediction in upper Siem Reap River, Cambodia Reviewed

    Kosal Chim, Jon Tunnicliffe, Asaad Shamseldin, Tetsuji Ota

    Hydrology   6 ( 3 )   2019.9

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    DOI： 10.3390/hydrology6030064

  • Using Forest Cover Maps and Local People's Perceptions to Evaluate the Effectiveness of Community-based Ecotourism for Forest Conservation in Chambok (Cambodia) Reviewed

    Pichdara Lonn, Nobuya Mizoue, Tetsuji Ota, Tsuyoshi Kajisa, Shigejiro Yoshida

    Environmental Conservation   46 ( 2 )   111 - 117   2019.6

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    Language：Others   Publishing type：Research paper (scientific journal)  

    DOI： 10.1017/S0376892918000462

  • 地域における獣害問題と動物園の動物福祉問題をつなぐ新たな実践活動：駆除された野生獣を動物園の 動物福祉に役立てる Reviewed

    細谷忠嗣, 伴和幸, 大渕希郷, 西村直人, 田川哲, 御田成顕, 太田徹志, 楠戸建, 雷陽, 三木望, 穆云妹, 白新田佳代子, 宋閻徳嘉, 齊藤礼, 椎原春一

    決断科学   6   24 - 49   2019.3

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  • Estimating selective logging impacts on aboveground biomass in tropical forests using digital aerial photography obtained before and after a logging event from an unmanned aerial vehicle Reviewed

    Tetsuji Ota, Oumer S. Ahmed, Sie Thu Minn, Tual Cin Khai, Nobuya Mizoue, Shigejiro Yoshida

    Forest Ecology and Management   433   162 - 169   2019.2

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    Language：Others   Publishing type：Research paper (scientific journal)  

    DOI： 10.1016/j.foreco.2018.10.058

  • Detecting forest changes using dense Landsat 8 and Sentinel-1 time series data in tropical seasonal forests Reviewed

    Katsuto Shimizu, Tetsuji Ota, Nobuya Mizoue

    Remote Sensing   11 ( 16 )   2019.1

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/rs11161899

  • Evaluating the Contribution of Community-based Ecotourism (CBET) to Household Income and Livelihood Changes: A Case Study of the Chambok CBET Program in Cambodia

    Pichdara Lonn, Nobuya Mizoue, Tetsuji Ota, Tsuyoshi Kajisa, Shigejiro Yoshida

    Ecological Economics   151   62 - 69   2018.9

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    DOI： 10.1016/j.ecolecon.2018.04.036

  • Patch-based assessments of shifting cultivation detected by Landsat time series images in Myanmar Reviewed

    Katsuto Shimizu, Tetsuji Ota, Nobuya Mizoue, Shigejiro Yoshida

    Sustainability (Switzerland)   10 ( 9 )   2018.9

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    DOI： 10.3390/su10093350

  • Consumption rates and use patterns of firewood and charcoal in urban and rural communities in Yedashe Township, Myanmar

    Zar Chi Win, Nobuya Mizoue, Tetsuji Ota, Tsuyoshi Kajisa, Shigejiro Yoshida

    Forests   9 ( 7 )   2018.7

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    Language：Others   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/f9070429

  • Biophysical factors affecting forest cover changes in community forestry: A country scale analysis in Cambodia

    Pichdara Lonn, Nobuya Mizoue, Tetsuji Ota, Tsuyoshi Kajisa, Shigejiro Yoshida

    Forests   9 ( 5 )   2018.5

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    Language：Others   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/f9050273

  • Assessments of preprocessing methods for Landsat time series images of mountainous forests in the tropics

    Katsuto Shimizu, Tetsuji Ota, Nobuya Mizoue, Shigejiro Yoshida

    Journal of Forest Research   23 ( 3 )   139 - 148   2018.5

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    Language：Others   Publishing type：Research paper (scientific journal)  

    DOI： 10.1080/13416979.2018.1434034

  • 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, Heng Sokh, Vuthy Ma, Tsuyoshi Kajisa, Tetsuji Ota, Nobuya Mizoue

    Remote Sensing   10 ( 3 )   2018.3

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    Language：Others   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/rs10030438

  • The importance of tree height in estimating individual tree biomass while considering errors in measurements and allometric models

    Thuch Phalla, Tetsuji Ota, Nobuya Mizoue, Tsuyoshi Kajisa, Shigejiro Yoshida, Ma Vuthy, Sokh Heng

    Agrivita   40 ( 1 )   131 - 140   2018.2

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    DOI： 10.17503/agrivita.v40i1.1730

  • Differences in consumption rates and patterns between firewood and charcoal: A case study in a rural area of Yedashe Township, Myanmar

    Zar Chi Win, Nobuya Mizoue, Tetsuji Ota, Tsuyoshi Kajisa, Shigejiro Yoshida, Thaung Naing Oo, Hwan ok Ma

    Biomass and Bioenergy   109   39 - 46   2018.2

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    DOI： 10.1016/j.biombioe.2017.12.011

  • 下刈り回数,斜面方位および植栽密度の違いがスギ植栽木の枯死および誤伐に与える影響 : 鹿児島大学附属高隈演習林を事例として

    福本 桂子, 太田 徹志, 溝上 展也, 岩永 史子, 吉田 茂二郎, 寺岡 行雄, 加治佐 剛

    森林計画学会誌 = Japanese journal of forest planning   51 ( 1 )   1 - 7   2017.12

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    Language：Japanese  

  • Forest Structure Estimation from a UAV-Based Photogrammetric Point Cloud in Managed Temperate Coniferous Forests

    Tetsuji Ota, Miyuki Ogawa, Nobuya Mizoue, Keiko Fukumoto, Shigejiro Yoshida

    FORESTS   8 ( 9 )   2017.9

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/f8090343

  • Attribution of Disturbance Agents to Forest Change Using a Landsat Time Series in Tropical Seasonal Forests in the Bago Mountains, Myanmar

    Katsuto Shimizu, Oumer S. Ahmed, Raul Ponce-Hernandez, Tetsuji Ota, Zar Chi Win, Nobuya Mizoue, Shigejiro Yoshida

    FORESTS   8 ( 6 )   2017.6

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/f8060218

  • Using Landsat time series imagery to detect forest disturbance in selectively logged tropical forests in Myanmar

    Katsuto Shimizu, Raul Ponce-Hernandez, Oumer S. Ahmed, Tetsuji Ota, Zar Chi Win, Nobuya Mizoue, Shigejiro Yoshida

    CANADIAN JOURNAL OF FOREST RESEARCH   47 ( 3 )   289 - 296   2017.3

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1139/cjfr-2016-0244

  • Differences in growth responses between Cryptomeria japonica and Chamaecyparis obtusa planted in group selection openings in Kyushu, southern Japan Reviewed

    Kazuki Ito, Tetsuji Ota, Nobuya Mizoue, Shigejiro Yoshida, Kotaro Sakuta, Akio Inoue, Satoshi Ito, Hiroyuki Okada

    Journal of Forest Research   22 ( 2 )   126 - 130   2017.2

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1080/13416979.2017.1283978

  • The effect of weeding frequency and timing on the height growth of young sugi (Cryptomeria Japonica) in southwestern Japan Reviewed

    Keiko Fukumoto, Tetsuji Ota, Nobuya Mizoue, Shigejiro Yoshida, Yukio Teraoka, Tsuyoshi Kajisa

    Journal of Forest Research   22 ( 3 )   204 - 207   2017.1

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1080/13416979.2017.1322347

  • Using a tree-based approach to evaluate logging damage in a tropical mixed deciduous forest of Myanmar Comparison with cases in Cambodia Reviewed

    Tual Cin Khai, Nobuya Mizoue, Tsuyoshi Kajisa, Tetsuji Ota, Shigejiro Yoshida

    Journal of Forest Research   22 ( 3 )   185 - 190   2017.1

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1080/13416979.2017.1302545

  • Effects of directional felling, elephant skidding and road construction on damage to residual trees and soil in Myanmar selection system

    T. C. Khai, N. Mizoue, T. Kajisa, T. Ota, S. Yoshida

    INTERNATIONAL FORESTRY REVIEW   18 ( 3 )   296 - 305   2016.9

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1505/146554816819501718

  • The effects of topographic correction and gap filling in imagery on the detection of tropical forest disturbances using a Landsat time series in Myanmar

    Katsuto Shimizu, Raul Ponce-Hernandez, Oumer S. Ahmed, Tetsuji Ota, Zar Chi Win, Nobuya Mizoue, Shigejiro Yoshida

    INTERNATIONAL JOURNAL OF REMOTE SENSING   37 ( 16 )   3655 - 3674   2016.8

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1080/01431161.2016.1201230

  • Stand structure, composition and illegal logging in selectively logged production forests of Myanmar: Comparison of two compartments subject to different cutting frequency

    Tual Cin Khai, Nobuya Mizoue, Tsuyoshi Kajisa, Tetsuji Ota, Shigejiro Yoshida

    GLOBAL ECOLOGY AND CONSERVATION   7   132 - 140   2016.7

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1016/j.gecco.2016.06.001

  • Estimating aboveground carbon using airborne LiDAR in Cambodian tropical seasonal forests for REDD plus implementation

    Tetsuji Ota, Tsuyoshi Kajisa, Nobuya Mizoue, Shigejiro Yoshida, Gen Takao, Yasumasa Hirata, Naoyuki Furuya, Takio Sano, Raul Ponce-Hernandez, Oumer S. Ahmed, Heng Sokh, Vuthy Ma, Eriko Ito, Jumpei Toriyama, Yukako Monda, Hideki Saito, Yoshiyuki Kiyono, Sophal Chann, Nang Ket

    JOURNAL OF FOREST RESEARCH   20 ( 6 )   484 - 492   2015.12

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1007/s10310-015-0504-3

  • Aboveground Biomass Estimation Using Structure from Motion Approach with Aerial Photographs in a Seasonal Tropical Forest

    Tetsuji Ota, Miyuki Ogawa, Katsuto Shimizu, Tsuyoshi Kajisa, Nobuya Mizoue, Shigejiro Yoshida, Gen Takao, Yasumasa Hirata, Naoyuki Furuya, Takio Sano, Heng Sokh, Vuthy Ma, Eriko Ito, Jumpei Toriyama, Yukako Monda, Hideki Saito, Yoshiyuki Kiyono, Sophal Chann, Nang Ket

    FORESTS   6 ( 11 )   3882 - 3898   2015.11

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/f6113882

    Other Link： http://www.mdpi.com/1999-4907/6/11/3882

  • Comparing 30-year diameter censuses and tree-ring chronologies in natural old-growth Cryptomeria japonica forest on Yakushima Island, Japan

    Shizu Itaka, Shigejiro Yoshida, Nobuya Mizoue, Tetsuji Ota, Atsushi Takashima, Tsuyoshi Kajisa

    JOURNAL OF FOREST RESEARCH   20 ( 2 )   255 - 262   2015.4

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1007/s10310-014-0476-8

  • Estimation of aboveground biomass using manual stereo viewing of digital aerial photographs in tropical seasonal forest

    Katsuto Shimizu, Tetsuji Ota, Tsuyoshi Kajisa, Nobuya Mizoue, Shigejiro Yoshida, Gen Takao, Yasumasa Hirata, Naoyuki Furuya, Takio Sano, Sokh Heng, Ma Vuthy

    Land   3 ( 4 )   1270 - 1283   2014.12

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    Language：Others   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/land3041270

  • 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 SENSING   6 ( 11 )   10750 - 10772   2014.11

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/rs61110750

  • Estimation of Growth Rates Based on Tree-ring Analysis of Cryptomeria japonica on Yakushima Island, Japan

    Shizu Itaka, Shigejiro Yoshida, Nobuya Mizoue, Tetsuji Ota, Atsushi Takashima, Tsuyoshi Kajisa, Koh Yasue

    Journal of Forest Planning   19 ( 1 )   1-7   2014.3

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    Language：Others  

    Estimation of Growth Rates Based on Tree-ring Analysis of Cryptomeria japonica on Yakushima Island, Japan

  • Influence of using texture information in remote sensed data on the accuracy of forest type classification at different levels of spatial resolution

    Tetsuji Ota, Nobuya Mizoue, Shigejiro Yoshida

    JOURNAL OF FOREST RESEARCH   16 ( 6 )   432 - 437   2011.12

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1007/s10310-010-0233-6

  • 九州本島における再造林放棄地の発生率とその空間分布 Reviewed

    村上拓彦・吉田茂二郎・太田徹志・溝上展也・佐々木重行・桑野泰光・佐保公隆・清水正俊・宮崎潤二・福里和朗・小田三保・下園寿秋

    日本森林学会誌   93   2011.12

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    Language：Japanese   Publishing type：Research paper (scientific journal)  

  • 低コスト林業にむけた植栽密度の検討―オビスギ植栽密度試験地の結果から― Reviewed

    福地晋輔・吉田茂二郎・溝上展也・村上拓彦・加治佐剛・太田徹志・長島啓子

    日本森林学会誌   93   2011.12

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    Publishing type：Research paper (scientific journal)  

  • 未利用林地残材の収集が林分経営戦略と収支に与える影響 Reviewed

    中間 康介・太田徹志・溝上展也・吉田茂二郎

    日本森林学会誌   96   2011.10

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    Language：Japanese   Publishing type：Research paper (scientific journal)  

  • Fourier transform analysis of very high resolution remote sensed imagery shows potential for estimating stand density of regular-spaced planted forests Reviewed International journal

    Ota, T., Mizoue, N., Yoshida, S.

    Journal of forest planning   16   2010.9

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    Language：English  

  • Detection of Clear-Cut Areas Using the Image Differencing Method with LANDSAT/TM Data Reviewed International journal

    Murakami, T., Ota, T., Kajisa, T., Mizoue, N., Yoshida S.

    Asian Journal of Geoinformatics   10   2010.3

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    Language：English  

  • 高解像度衛星データから得られるテクスチャ情報とスギ本数密度との関係解析 : シミュレーションを用いた検討

    太田 徹志, 村上 拓彦, 加治佐 剛, 溝上 展也, 吉田 茂二郎

    写真測量とリモートセンシング   46 ( 6 )   4 - 15   2008.1

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    Language：Japanese  

    DOI： 10.4287/jsprs.46.6_4

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Books

  • 植生構造の多方向リモートセンシングと放射伝達特性のモデル化,森北出版,植生のリモートセンシング [H. G. Jones (著), R. A. Vaughan (著), 久米 篤(監訳) (著), 大政 謙次(監訳) (著) ]

    太田 徹志（ Role： Joint translator）

    森北出版  2013.9 

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    Language：Japanese   Book type：Scholarly book

Presentations

  • 伐採時の収益と植栽経費の観点からみた低密度植栽の有効性

    太田徹志, 溝上展也, 吉田茂二郎

    日本森林学会九州支部大会  2011.10 

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    Event date： 2011.10

    Language：Others  

    Venue：鹿児島県鹿児島市鹿児島大学   Country：Japan  

  • 高分解能リモートセンシングデータを用いた人工林本数密度推定手法の比較

    太田徹志, 溝上展也, 吉田茂二郎

    日本森林学会九州支部大会  2010.10 

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    Event date： 2010.10

    Language：Others  

    Venue：長崎県長崎市長崎大学   Country：Japan  

  • 高分解能リモートセンシングデータを用いた森林情報取得の可能性

    太田徹志, 溝上展也, 吉田茂二郎

    日本森林学会九州支部大会  2009.10 

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    Event date： 2009.10

    Language：Others  

    Venue：福岡県福岡市九州大学   Country：Japan  

  • 同時生起行列から得られるテクスチャ情報とスギ林分本数密度との関係解析

    太田徹志, 村上拓彦, 葛岡成樹, 加治佐剛, 溝上展也, 吉田茂二郎

    日本森林学会九州支部大会  2006.11 

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    Event date： 2006.11

    Language：Others  

    Venue：宮崎県宮崎市宮崎大学   Country：Japan  

  • LANDSAT/TMデータを用いた森林伐採地抽出方法の比較検討

    太田 徹志, 村上 拓彦, 吉田 茂二郎, 溝上 展也

    日本森林学会九州支部大会  2004.10 

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    Event date： 2004.10

    Language：Others  

    Venue：鹿児島県鹿児島市鹿児島大学   Country：Japan  

  • Detection of clear-cut areas using the image differencing method with LANDSAT/TM data

    Takuhiko Murakami, Tetsuji Ohta, Tsuyoshi Kajisa, Nobuya Mizoue, Shigejiro Yoshida

    31st Asian Conference on Remote Sensing 2010, ACRS 2010  2010.12 

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    Language：Others  

    Country：Other  

    Detection of clear-cut areas using the image differencing method with LANDSAT/TM data
    Detecting the occurrence of clear-cutting is a practical use for remotely sensed data, and the image differencing method is one technique that can be used. This method is simple and powerful, but a systematic evaluation of its accuracy and a statistical determination of threshold values have not been established. We examined the accuracy of image differencing methods using a single band or band combinations, or scene combinations, to detect clear-cuts with LANDSAT/ TM data. Furthermore, we examined the relationship between clear-cut size and detection accuracy with a focus on the most effective bands. Results showed that bands 3 and 7 are optimal because they detect clear-cut areas with less error. Accuracy varied with the clear-cut size, and clear-cut regions less than 1 ha in area exhibited more error.

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MISC

  • 動物園における屠体給餌に対する見学者の反応

    御田成顕, 細谷忠嗣, 太田徹志, 大渕希郷, 伴和幸, 田川哲, 西村直人, 楠戸建, 雷陽, 三木望, 穆云妹, 白新田佳代子, 宋閻徳嘉

    屋久島学ソサイエティ会誌屋久島学   2019.12

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    Language：Japanese  

  • 熱帯林の持続的管理に向けて：環境モジュール，カンボジア海外実習報告

    梅村啓太郎, 杉山悠生理, 百村帝彦, 細谷忠嗣, 御田成顕, 太田徹志, 布施健吾

    決断科学   2019.3

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    Language：Japanese  

  • 福岡の人が感じたヤクシカ肉の味と値段：福岡市内でのジビエ料理アンケート調査結果

    御田 成顕, 久保裕貴, 須藤竜之介, 宋閻徳嘉, 杉山悠生理, 雷陽, 謝俊, 楠戸建, 金城まりあ, 富本創, 齋藤健太, 池山草馬, 辻真樹, 黒木謙, 藤田大生, 細谷忠嗣, 太田徹志, 藤原敬大

    屋久島学ソサイエティ会誌   2018.12

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    Language：Japanese  

  • ヤクシカはおいしいよ！

    御田成顕, 杉山悠生理, 久保裕貴, 須藤竜之介, 宋閻徳嘉, 細谷忠嗣, 太田徹志

    やくヤクシカじか   2018.3

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    Language：Japanese  

  • 航空機LiDARと時系列衛星データによる平均林冠高の推定 (特集 リモートセンシングでバイオマスを測る)

    太田 徹志

    森林科学   2015.6

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    Language：Japanese  

Academic Activities

  • 日本森林学会誌

    2020.6 - 2024.5

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    Type：Academic society, research group, etc. 

  • 座長（Chairmanship）

    日本森林学会  （ 埼玉県さいたま市 ） 2014.3

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    Type：Competition, symposium, etc. 

Research Projects

  • 多時期空中写真由来の変化量に基づく新たな森林モニタリング手法の開発

    Grant number：21K05670  2021 - 2024

    日本学術振興会  科学研究費助成事業  基盤研究(C)

    太田 徹志, 溝上 展也

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    Authorship：Principal investigator  Grant type：Scientific research funding

    森林の減少・劣化を高精度かつ安価にモニタリングする技術の開発が求められている。森林減少・劣化は森林の３次元構造の変化に他ならないので，森林減少・劣化量のモニタリングは，森林の３次元構造の変化を定量化と言い換えることができる。本研究では，長期間にわたり撮影された空中写真から，森林の３次元構造の変化を求める手法の確立を目指す。具体的には，長期間に渡り継続して撮影された空中写真から森林の三次元構造の変化量を軌跡として定量化する。定量化した変化量を利用することに表現することで，地標高データを使用せずに森林減少・劣化を推定する技術を開発する

    CiNii Research

  • 全国スケールにおける熱帯林保全政策の評価：ミャンマー・ カンボジアを対象として.

    Grant number：JP19H04339  2019 - 2022

    日本学術振興会  科学研究費助成事業  基盤研究(B)

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    Authorship：Coinvestigator(s)  Grant type：Scientific research funding

  • UAVを利用した熱帯季節林の減少・劣化量把握

    Grant number：16K18721  2016 - 2018

    科学研究費助成事業  若手研究(B)

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    Authorship：Principal investigator  Grant type：Scientific research funding

  • 高解像度衛星データのテクスチャ情報と林分構造因子との関係解析

    Grant number：08J02375  2008 - 2010

    日本学術振興会  科学研究費助成事業  特別研究員奨励費

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    Authorship：Principal investigator  Grant type：Scientific research funding

Class subject

  • Forest Management Ⅱ

    2023.12 - 2024.2   Winter quarter

  • 森林機能制御学演習

    2023.12 - 2024.2   Winter quarter

  • 森林資源環境モニタリング論

    2023.12 - 2024.2   Winter quarter

  • 森林環境経営学

    2023.10 - 2023.12   Fall quarter

  • 基幹教育セミナー

    2023.6 - 2023.8   Summer quarter

  • 森林資源環境モニタリング論

    2022.12 - 2023.2   Winter quarter

  • 森林計画学特論

    2022.12 - 2023.2   Winter quarter

  • 森林機能制御学演習

    2022.12 - 2023.2   Winter quarter

  • 森林環境経営学

    2022.10 - 2022.12   Fall quarter

  • 森林計画学実習

    2022.10 - 2022.12   Fall quarter

  • 森林資源管理学

    2022.4 - 2022.6   Spring quarter

  • 森林環境経営学

    2021.12 - 2022.2   Winter quarter

  • 森林調査実習Ⅰ

    2021.10 - 2022.3   Second semester

  • 森林資源環境モニタリング論

    2021.10 - 2022.3   Second semester

  • 森林機能制御学演習

    2021.10 - 2022.3   Second semester

  • 基幹教育セミナー

    2021.6 - 2021.8   Summer quarter

  • 森林資源管理学

    2021.4 - 2021.6   Spring quarter

  • 森林資源環境モニタリング論

    2020.10 - 2021.3   Second semester

  • 森林環境経営学

    2020.10 - 2021.3   Second semester

  • 森林調査実習Ⅰ

    2020.10 - 2021.3   Second semester

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