In the Takeuchi laboratory, remote sensing technology has been using for the application areas such like atmospheric environment, high carbon reservoirs and urban environment. For this case, the objects are detected by various sensors and modeling can be done by extracting the useful information from the captured data.
The spatial scale is varying from urban/local to global level. The sensors named according to the wavelength they are used in the electromagnetic spectrum such as hyper-spectrum, visible, near infrared, thermal infrared and microwave and use relevant data based on the purpose of the application and objects.

[Research category] Atmosphere / High carbon reservoirs | Agriculture | Urban environmental assessment | Natural disaster | Field survey

Atmosphere / High carbon reservoirs

In recent years, increase of green house gas emission and air pollution became a serious problem in the world. In this case, anthropogenic impact is significant in the context of urbanization, forest fire for cultivation and land reclamation on coastal ecosystem and wetlands. Understanding the reciprocal relationship among the CO2 source and pools and the terrestrial ecosystem and atmospheric environment is necessary to solve the problem.
In our laboratory, we extract ecological parameters from satellite data and estimate terrestrial/coastal CO2 and CH4 for wetlands.

Comparative analysis of CH4 measured by MODIS and SCIAMACHY from west Siberian lowland [PDF]

CO2 budget estimation with considering human effects of tropical peat lands in Indonesia [PDF]

Effect of land-use change on carbon budget in tropical region [PDF]

Monitoring of forest fire with Himawari-8 imager(AHI) [PDF]

Effects of damming on seagrass distribution near Mekong river mouth [PDF]

Detection and calculation of peatland subsidence in Indonesia by using Interferometric Synthetic Aperture Radar [PDF]


Agriculture

Since the world's population increase, rice cultivation in South East Asia is an important industry as a food source. In this region, though the rice production mainly depends on the annual precipitation, the trend of decreasing is occurred due to the drought. In our laboratory we aim to estimate the rice harvest and develop cropping calendar using remote sensing technology.

Comparison between global rice paddy field mapping and methane flux data from GOSAT [PDF]

Spatio-temporally continuous evaluation on methane emission from tropical rice production [PDF]

Assessment of drought impact on rice production in Indonesia by satellite remote sensing and dissemination with Web-GIS [PDF]

Developing the global crop water requirements simulation technique by integrating remote sensing datasets and FAO-CROPWAT model [PDF]


Urban environmental assessment

It is important to understand environmental problems specific to urban area because of the urbanization have progressed in the world. With aid of satellite data we could estimate the temperature and humidity and analyze the characteristic of atmospheric condition in mega cities.

Development of global livability index (GLI) for evaluating global cities [PDF]

Characterization of air quality in global mega-cities by remote sensing and inventory data [PDF]

Evaluating thermal comfort in city and its relation to socio economic activities [PDF]

Urban morphology identification using Digital Surface Model (DSM) over indian cities [PDF]

Exploring nighttime lightes, MODIS global land cover and socio-economic datasets for electrification coverage and poverty mapping studies [PDF]

Impacts of regional railways to the transigion of population, urban area and income in Australian cities [PDF]

Estimation of land price in Yangon, Myanmar based on empirical model using remotely sensed data [PDF]

Bridge tower displacement assessment based on dense Structure-from-Motion point clouds: Application to Twantay Bridge, Myanmar [PDF]

Examination of infrastructure monitoring techniques of the Yangon loop railway [PDF]

Surface deformation detected by ALOS PALSAR baseline interferometry over surabaya city, indonesia [PDF]


Natural disaster

Due to the global warming combined with excessive human activities, various natural disasters happened all over the world. It was not only a threat to human life, but also related losses in infrastructure and economy.
In our laboratory, with use of modern computing power, we develop a new framework to detect the natural disaster、carry out disaster forecasting and evaluation by integrating real-time computing, remote sensing and GIS.

Flood event detection by AMSR-E and PALSAR on global scale [PDF]

Vulnerability assessment in the unrest volcano based on time-series land surface defomation and GIS approach (Case study at Mt. Bromo, Indonesia) [PDF]


Field survey

In situ measurements are important to carry out accuracy assessment for the retrieval data from satellite images. In this case developed GPS photo database software can be used to understanding the land use land cover types where the measurements have been took place. Moreover we aim to estimate the grassland biomassrice by combining satellite and in-situ measurement data.

Development of GPS photos database for land use and land cover mapping [PDF]

Characterization and mapping pf mangrove forest types based on ALOS-PALSAR and topography data in Indonesia [PDF]

モンゴル草地におけるバイオマス観測 [PDF]