FU Wei, CHEN Yanlei, SHI Meiwu, et al. The spatiotemporal changes of surface cover color in China revealed by satellite observations[J]. Journal of Remote Sensing, 2014,18(1):154-179.
FU Wei, CHEN Yanlei, SHI Meiwu, et al. The spatiotemporal changes of surface cover color in China revealed by satellite observations[J]. Journal of Remote Sensing, 2014,18(1):154-179. DOI: 10.11834/jrs.20132323.
The spectral reflectance data of Moderate-Resolution Imaging Spectroradiometer( MODIS) from 2001 to 2010 was clustered in spatial and temporal dimension and we analyzed the spatial distribution and temporal changes of land-surface cover color of China. The conclusions are:( 1) Land surface colors are composed of green of vegetation
brown of bare soil
yellow of mixture of soil and vegetation
blue of water and white of snow and ice. Brown color distributed in north-west China is the dominant color in all seasons; Green color of low Normalized DifferenceVegetation Index( NDVI) is the dominant color in spring
a utumn and winter; Green color of high NDVI is the dominant color of summer
distributed in the middle and lower reaches of Yangtze River
South China
south-west and north-east China.( 2) Color in the agricultural regions of Huang-Huai-Hai plain a ppeared in a brown-green-brown-green-brown pattern during the year
that are in agreement with the pattern of crop cultivation in a phenological calendar of first growth-fallow-the second growth-harvest. The unique spectral cluster characteristics of the paddy fields in the middle and lower reaches of Yangtze River and South China imply a mixture of vegetation and water in the sow and growth period.From south to north
crops are sown later and reaped earlier
presenting a trend of decreasing growth period.( 3) The dominant color often transforms from green to yellow in the southern part of Gansu
southern part of Shanxi
northern part of S ichuan
northern part of Shanxi and the northern part of Hebei. Those regions with the most frequent color changes are also the regions with significant greenness change and uncertainty in land use and land cover.