Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Tomomi TAKEDA"'
Autor:
Daizo ISHIYAMA, Yasumasa OGAWA, Kazuyo HIROSE, Tomomi TAKEDA, Shinsaku NAKAMURA, Sachi WAKASA, Olaotse OSENYENG, Zoran STEVANOVIC
Publikováno v:
Journal of MMIJ, Vol 139, Iss 2_3, Pp 10-20 (2023)
In the study area of eastern Serbia, which includes the Bor and Maidenpek mining areas of the Republic of Serbia, a research of environmental evaluation of the study area was carried out by means of field survey for environment and satellite image an
Externí odkaz:
https://doaj.org/article/818435fc3ed841bda2ae61f72c8a8f86
Publikováno v:
Environmental Earth Sciences. 79
To determine the contamination caused by the waste generated in the historical Bor mining area and to present a sustainable environmental impact assessment method, the distribution of mine waste in the nearby riverbed is presented using remote sensin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::116de4941f074f7c9267240bb1362bdd
https://doi.org/10.1007/s12665-020-09048-6
https://doi.org/10.1007/s12665-020-09048-6
Hyperspectral image analysis has become an important topic widely researched by the remote sensing community. Classification and segmentation of such imagery help understand the underlying materials within a scanned scene, since hyperspectral images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cdfeeb589648e2f7601d6f2ced313f2
Publikováno v:
IGARSS
Using airborne hyperspectral images and field survey data of Yamada Bay, northeast Japan, we examined to improve the water depth accuracy by enhancing benthic type classification accuracy and generalize the method. Also, the method was applied to air
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37c1c8f44c414d7d6ad88942065f8f9e
https://doi.org/10.1109/igarss.2018.8518386
https://doi.org/10.1109/igarss.2018.8518386
Autor:
Tomomi Takeda, Shinya Odagawa
Publikováno v:
IGARSS
This paper describes an estimation for a sample size of deep learning used in tree species classification by using an airborne hyperspectral sensor CASI-3. Sample size is a number of reference data needed for an estimation model building. As a result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7c5171e318bc152a1dfd81ba2f76257
https://doi.org/10.1109/igarss.2018.8517564
https://doi.org/10.1109/igarss.2018.8517564
Publikováno v:
International Journal of Remote Sensing. 36:1136-1166
Soil salinity is a global environmental problem and the most widespread land degradation problem that reduces crop yields and agricultural productivity. The characteristic of soil salinity is conventionally measured by the electric conductivity EC of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ef10d6b0ca5802bfca6b04ef3b73362
https://doi.org/10.1080/01431161.2015.1007254
https://doi.org/10.1080/01431161.2015.1007254
Autor:
Kazuyo Hirose, Mitsuru Osaki, Yan Gao, Hendrik Segah, Osamu Kashimura, Tomomi Takeda, Takashi Ohki, Muhammad Evri
Publikováno v:
Tropical Peatland Ecosystems ISBN: 9784431556800
Tropical peatland is a valuable and vulnerable ecosystem storing tremendous carbon in the form of above ground biomass and soil carbon. Hokkaido University and collaborative research group with Indonesian experts are conducting a long-term research o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96097e9a82233c445de269f0f910f9cd
https://doi.org/10.1007/978-4-431-55681-7_28
https://doi.org/10.1007/978-4-431-55681-7_28
Publikováno v:
Journal of Agricultural Meteorology. 68:35-43
Leaf area index (LAI) is an important parameter used to characterize the canopy structure of forest ecosystems. Disturbances such as thinning change the canopy structure and influence various ecosystem functions. A larch plantation in Hokkaido, Japan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c9761cddb122a3ce7a4021e79906afa
https://doi.org/10.2480/agrmet.68.1.5
https://doi.org/10.2480/agrmet.68.1.5
Publikováno v:
Journal of Agricultural Meteorology. 66:237-244
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4852fee9100bde5508a21d634fa7511c
https://doi.org/10.2480/agrmet.66.4.2
https://doi.org/10.2480/agrmet.66.4.2
Publikováno v:
Agricultural and Forest Meteorology. 148:428-438
The three-dimensional (3D) distribution of plant area density (PAD) is difficult and time-consuming to determine. In this study, we measured this distribution using a ground-based laser scanner consisting of a laser range finder and two rotation stag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7da3f6d27ccca4d4d938e7c802037b4
https://doi.org/10.1016/j.agrformet.2007.10.004
https://doi.org/10.1016/j.agrformet.2007.10.004