Toshiaki Ichinose

TL;DR: In this paper, the authors quantified the contribution through energy consumption, to the heat island phenomena and discussed how reductions in energy consumption could mitigate impacts on the urban thermal environment, where very detailed maps of anthropogenic heat were drawn with data from energy statistics and a very detailed digital geographic land use data set including the number of stories of building at each grid point.

TL;DR: Wang et al. as mentioned in this paper simulated China's population density in 1998 at 1.km×1.km resolution by integrating DMSP/OLS non-radiance-calibrated night-time images, SPOT/VGT 10-day maximum NDVI composite, population census data and vector county boundaries.

TL;DR: Based on the current administrative unit-based urban land area statistical data in China, a new approach to quickly and cheaply derive urban land information from the non-radiance-calibrated Defense Meteorological Satellite Program/ Operational Linescan System (DMSP/OLS) nighttime light imagery is presented in this paper.

TL;DR: The Global Environment Assessment (GEA) as mentioned in this paper estimates that between 60 and 80% of the final energy use globally is urban, with a central estimate of 75% to 80%.

TL;DR: The long-term trends in surface temperature in several large Asian cities have been analyzed for estimating the effects of urban warming and a new index, E-HII, is proposed: it is the value obtained by subtracting the temperature data of the four grids around the city from the observational temperature data in the city.