Works matching AU Takeshi ISE

Results: 19

Non-Gaussian data assimilation of satellite-based Leaf Area Index observations with an individual-based dynamic global vegetation model.

Published in:

Nonlinear Processes in Geophysics Discussions, 2016, p. 1, doi. 10.5194/npg-2016-30

By:

Hazuki Arakida;
Takemasa Miyoshi;
Takeshi Ise;
Shin-ichiro Shima;
Shunji Kotsuki

Publication type:

Article

Identification of hybrids between the Japanese giant salamander (Andrias japonicus) and Chinese giant salamander (Andrias cf. davidianus) using deep learning and smartphone images.

Published in:

Ecology & Evolution (20457758), 2023, v. 13, n. 11, p. 1, doi. 10.1002/ece3.10698

By:

Takaya, Kosuke;
Taguchi, Yuki;
Ise, Takeshi

Publication type:

Article

The global-scale temperature and moisture dependencies of soil organic carbon decomposition: an analysis using a mechanistic decomposition model.

Published in:

Biogeochemistry, 2006, v. 80, n. 3, p. 247, doi. 10.1007/s10533-006-9019-5

By:

Ise, Takeshi;
Moorcroft, Paul R.

Publication type:

Article

Effect of plant dynamic processes on African vegetation responses to climate change: Analysis using the spatially explicit individual-based dynamic global vegetation model (SEIB-DGVM).

Published in:

Journal of Geophysical Research. Biogeosciences, 2012, v. 117, n. G3, p. n/a, doi. 10.1029/2012JG002056

By:

Sato, Hisashi;
Ise, Takeshi

Publication type:

Article

Comparison of modeling approaches for carbon partitioning: Impact on estimates of global net primary production and equilibrium biomass of woody vegetation from MODIS GPP.

Published in:

Journal of Geophysical Research. Biogeosciences, 2010, v. 115, n. G4, p. n/a, doi. 10.1029/2010JG001326

By:

Ise, Takeshi;
Litton, Creighton M.;
Giardina, Christian P.;
Ito, Akihiko

Publication type:

Article

Individual identification of endangered amphibians using deep learning and smartphone images: case study of the Japanese giant salamander (Andrias japonicus).

Published in:

Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-40814-1

By:

Takaya, Kosuke;
Taguchi, Yuki;
Ise, Takeshi

Publication type:

Article

Predicting global terrestrial biomes with the LeNet convolutional neural network.

Published in:

Geoscientific Model Development, 2022, v. 15, n. 7, p. 3121, doi. 10.5194/gmd-15-3121-2022

By:

Sato, Hisashi;
Ise, Takeshi

Publication type:

Article

Explainable identification and mapping of trees using UAV RGB image and deep learning.

Published in:

Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-020-79653-9

By:

Onishi, Masanori;
Ise, Takeshi

Publication type:

Article

VARENN: graphical representation of periodic data and application to climate studies.

Published in:

NPJ Climate & Atmospheric Science, 2020, v. 3, n. 1, p. 1, doi. 10.1038/s41612-020-0129-x

By:

Ise, Takeshi;
Oba, Yurika

Publication type:

Article

Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests.

Published in:

BMC Ecology, 2020, v. 20, n. 1, p. N.PAG, doi. 10.1186/s12898-020-00331-5

By:

Watanabe, Shuntaro;
Sumi, Kazuaki;
Ise, Takeshi

Publication type:

Article

Predicting Global Terrestrial Biomes with Convolutional Neural Network.

Published in:

Geoscientific Model Development Discussions, 2021, p. 1, doi. 10.5194/gmd-2021-271

By:

Sato, Hisashi;
Ise, Takeshi

Publication type:

Article

Explainable Deep Learning Reproduces a 'Professional Eye' on the Diagnosis of Internal Disorders in Persimmon Fruit.

Published in:

Plant & Cell Physiology, 2020, v. 61, n. 11, p. 1967, doi. 10.1093/pcp/pcaa111

By:

Akagi, Takashi;
Onishi, Masanori;
Masuda, Kanae;
Kuroki, Ryohei;
Baba, Kohei;
Takeshita, Kouki;
Suzuki, Tetsuya;
Niikawa, Takeshi;
Uchida, Seiichi;
Ise, Takeshi

Publication type:

Article

Energy-water budget analysis of an Arctic terrestrial models intercomparison GTMIP.

Published in:

Journal of the Japanese Society of Snow & Ice / Seppyo, 2018, v. 80, n. 2, p. 159, doi. 10.5331/seppyo.80.2_159

By:

Kazuyuki SAITO;
Junko MORI;
Hirokazu MACHIYA;
Shin MIYAZAKI;
Takeshi ISE;
Tetshuo SUEYOSHI;
Takeshi YAMAZAKI;
Yoshihiro IIJIMA;
Hiroki IKAWA;
Kazuhito ICHII;
Akihiko ITO;
Ryouta O'OISHI;
Takeshi OOTA;
Genki KATATA;
Ayumi KOTANI;
Takahiro SASAI;
Atsushi SATO;
Hisashi SATO;
Atsuko SUGIMOTO;
Rikie SUZUKI

Publication type:

Article

Assessing streetscape greenery with deep neural network using Google Street View.

Published in:

Breeding Science, 2022, v. 72, n. 1, p. 107, doi. 10.1270/jsbbs.21073

By:

Taishin Kameoka;
Atsuhiko Uchida;
Yu Sasaki;
Takeshi Ise

Publication type:

Article

Automatic detection of alien plant species in action camera images using the chopped picture method and the potential of citizen science.

Published in:

Breeding Science, 2022, v. 72, n. 1, p. 96, doi. 10.1270/jsbbs.21062

By:

Kosuke Takaya;
Yu Sasaki;
Takeshi Ise

Publication type:

Article

Harmonized data on early stage litter decomposition using tea material across Japan.

Published in:

Ecological Research, 2019, v. 34, n. 5, p. 575, doi. 10.1111/1440-1703.12032

By:

Suzuki, Satoshi N.;
Ataka, Mioko;
Djukic, Ika;
Enoki, Tsutomu;
Fukuzawa, Karibu;
Hirota, Mitsuru;
Hishi, Takuo;
Hiura, Tsutom;
Hoshizaki, Kazuhiko;
Ida, Hideyuki;
Iguchi, Akira;
Iimura, Yasuo;
Ise, Takeshi;
Kenta, Tanaka;
Kina, Yoshifumi;
Kobayashi, Hajime;
Kominami, Yuji;
Kurokawa, Hiroko;
Makoto, Kobayashi;
Matsushita, Michinari

Publication type:

Article

Simulating boreal forest dynamics from perspectives of ecophysiology, resource availability, and climate change.

Published in:

Ecological Research, 2010, v. 25, n. 3, p. 501, doi. 10.1007/s11284-009-0680-8

By:

Ise, Takeshi;
Moorcroft, Paul R.

Publication type:

Article

Practicality and Robustness of Tree Species Identification Using UAV RGB Image and Deep Learning in Temperate Forest in Japan.

Published in:

Remote Sensing, 2022, v. 14, n. 7, p. 1710, doi. 10.3390/rs14071710

By:

Onishi, Masanori;
Watanabe, Shuntaro;
Nakashima, Tadashi;
Ise, Takeshi

Publication type:

Article

Representing subgrid-scale edaphic heterogeneity in a large-scale ecosystem model: A case study in the circumpolar boreal regions.

Published in:

Geophysical Research Letters, 2008, v. 35, n. 20, p. n/a, doi. 10.1029/2008GL035701

By:

Ise, Takeshi;
Sato, Hisashi

Publication type:

Article