Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Katsuro Ogawa"'
Publikováno v:
Journal of Structural and Construction Engineering (Transactions of AIJ). 80:39-46
Publikováno v:
Journal of Life Cycle Assessment, Japan. 5:473-485
Publikováno v:
Journal of Life Cycle Assessment, Japan. 4:270-278
Autor:
Junzo Kasahara, Hiromichi Nagao, Katsuro Ogawa, Mineo Kumazawa, Naoyuki Fujii, Kayoko Tsuruga, Yoko Hasada
Publikováno v:
Journal of Geography (Chigaku Zasshi). 114:659-664
Publikováno v:
Hydrological Processes. 19:1839-1854
An approach that makes use of meteorological measurements and the spatial perspective provided by satellite data to estimate the time series (monthly or daily) of evapotranspiration (ET) over heterogeneous terrain two-dimensionally has been developed
Publikováno v:
Geocarto International. 18:41-49
A simple and straightforward technique based on remote sensing was applied for the estimation of surface emissivity and surface temperature at different dates in the northwestern part of Bangladesh for the summer and autumn period (March through Octo
Publikováno v:
Journal of Marine Systems. 32:307-321
Remote sensing technique was applied to estimate suspended sediment concentration (SSC) and to understand transportation, distribution and deposition of suspended sediment in the estuary and throughout the coastal sea, off the Ganges–Brahmaputra Ri
Publikováno v:
Hydrological Processes. 16:2853-2865
Ablation processes of snow under a thin dust cover are complicated compared with those under a thick cover, mainly owing to the effects of aggregation (redistribution) of dust particles on the conditions of surface melting. Aggregation of dust partic
Publikováno v:
Hydrological Processes. 15:493-509
Remote sensing was used to understand the seasonal and spatial variation of suspended sediment in the Ganges and Brahmaputra Rivers in Bangladesh for two different discharge periods. Suspended sediment concentration (SSC) in these rivers was estimate
Publikováno v:
Geocarto International. 15:59-70
A practical approach that combines Landsat TM, DEM and in situ conventional meteorological data to estimate the actual evapotranspiration (ET), and to predict the surface soil moisture content (SSMC) in a heterogeneous terrain was proposed and applie