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Ryoichi Doi

Biographic Data

ID7996595
NAMERyoichi Doi
GIVEN NAMESRyoichi
FAMILY NAMEDoi
SIGNATUREDOI R
AFFILIATIONSThe University of Tokyo
ORCID0000-0002-3023-0136
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2004
LATEST PUBLICATION YEAR2020
H-INDEX0
  • Assessing the reforestation effects of plantation plots in the Thai savanna based on 45 cm resolution true-color images and machine learning

    Open Access•Ryoichi Doi•ARTICLE•Environmental Research Letters•2020

    In forest restoration projects, assessing progress is critically important. This study was conducted to quantify the restoration progress for approximately 30 year old plantation plots of Acacia and Pterocarpus in Sakaerat, Thailand. For 22.5 × 22.5 m areas in the plantation plots, as a continuous measure of forest restoration, dry evergreen forest-likelihood was determined using 45 cm resolution satellite images and an artificial neural network …

  • Feasibility of system of rice intensification practices in natural and socioeconomic contexts in Thailand

    Ryoichi Doi, Masaru Mizoguchi•ARTICLE•International Journal of…•2013

    The system of rice intensification (SRI) is a set of practices in rice cultivation known for higher yields, lower water consumption, and environmentally friendly effects. However, few Thai farmers have adopted SRI even though Thailand is one of the largest rice producing nations. In this study, rice farmers in the northeastern, central, and southern regions of Thailand provided open-ended responses to descriptions of SRI prepared by the Thai gove…

  • Principal components derived from soil physicochemical data explained a land degradation gradient, and suggested the applicability of new indexes for estimation of soil productivity in the Sakaerat En…

    Ryoichi Doi, Katsutoshi Sakurai•ARTICLE•International Journal of…•2004

    To find a principal component (PC) that quantifies the degree of soil degradation, we analyzed various physicochemical characteristics of soils over a land degradation gradient related to aboveground vegetation in the Sakacrat Environmental Research Station (SERS), Thailand. The aboveground vegetative types representing the degradation gradient were bare ground (BG, highly degraded), dry dipterocarp forest (DDF, moderately disturbed) and dry ever…

No prominent works on this page.

  • Principal components derived from soil physicochemical data explained a land degradation gradient, and suggested the applicability of new indexes for estimation of soil productivity in the Sakaerat En…

    Ryoichi Doi, Katsutoshi Sakurai•ARTICLE•International Journal of…•2004

    To find a principal component (PC) that quantifies the degree of soil degradation, we analyzed various physicochemical characteristics of soils over a land degradation gradient related to aboveground vegetation in the Sakacrat Environmental Research Station (SERS), Thailand. The aboveground vegetative types representing the degradation gradient were bare ground (BG, highly degraded), dry dipterocarp forest (DDF, moderately disturbed) and dry ever…

  • Feasibility of system of rice intensification practices in natural and socioeconomic contexts in Thailand

    Ryoichi Doi, Masaru Mizoguchi•ARTICLE•International Journal of…•2013

    The system of rice intensification (SRI) is a set of practices in rice cultivation known for higher yields, lower water consumption, and environmentally friendly effects. However, few Thai farmers have adopted SRI even though Thailand is one of the largest rice producing nations. In this study, rice farmers in the northeastern, central, and southern regions of Thailand provided open-ended responses to descriptions of SRI prepared by the Thai gove…

  • Assessing the reforestation effects of plantation plots in the Thai savanna based on 45 cm resolution true-color images and machine learning

    Open Access•Ryoichi Doi•ARTICLE•Environmental Research Letters•2020

    In forest restoration projects, assessing progress is critically important. This study was conducted to quantify the restoration progress for approximately 30 year old plantation plots of Acacia and Pterocarpus in Sakaerat, Thailand. For 22.5 × 22.5 m areas in the plantation plots, as a continuous measure of forest restoration, dry evergreen forest-likelihood was determined using 45 cm resolution satellite images and an artificial neural network …

Biology (3 works) · Environmental Science (3 works) · Geography (3 works) · Agronomy (2 works) · Ecology (2 works) · Acacia (1 work) · Agricultural economics (1 work) · Agricultural science (1 work) · Agriculture (1 work) · Agroforestry (1 work)

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