The selection of suitable scales is one of the key issues in the monitoring of the land use, or more generally, in the study
areas of ecology and geography. The scale change trend of land use in the mainstream area of the Tarim River in recent
50 years are lucubrated in this paper by interpreting the land use data in the 1950s, 1970s, 1990s and 2000 with the
available maps and RS images. Taking the area of land use as the parameter in selecting the scales, the histograms of the
patches in area as are charted. The normalized scale variances under 9 scales are calculated. By reinforcing the calculated
results with the landscape indexes including the Shannon-Weaver diversity index, Simpson diversity index and fractal
dimensions, the characteristics and scale change trends of the land use in the Tarim River Basin can be summarized as
following: (1) The variance of the areas as patches in the region is in great disparity. The patch of sandlands is the largest
and its proportion in the year of 2000 was 43.77%; (2) In the course of the study period, the frequency distribution of the
areas of patches, sandlands, saline or alkaline lands, forest land and shrub lands in this region was in normal distribution.
However, the positions of the peak values and the distribution patterns were different; (3) Normalized scale variance
table reveals that the most suitable scale of land use in the region is at 1:50000 or in the range of 1: 50000~1: 100000 in
general. The general patterns of the normalized scale variances in the Tarim River Basin in the 4 study periods were
similar; (4) Comparing with the normalized scale variances, there were no significant distribution trends of the three
In this paper, the goal is to found indices best for Cab estimation with leaves and heperion pixels. There are several indices chosen, which showed best results for Cab estimation at both leaf and canopy levels in other studies. Forty-eight typical leaves were sampled in middle and lower reach of the Tarim River, Xinjiang, China. Leaf reflectance and Chlorophyll of leaves collected. Result demonstrated that Indices such as red edge and derivative indices R750/R710, R740/R720, (R734-R747)/(R715+R720), Blog(1/R737), D715/D705,(R734-R747)/(R715+R726), (R694-R680)/(R732-R760) were shown to be the good indicators for Cab estimation at leaf. Hyperion data were acquired for Aqike section in the middle reaches of the Tarim River in Nine 28, 2006. Field data were collected at same day to coincide with the Hyperion, including Chlorophyll of each tree, LAI, green vegetation cover. LAI derived from scanopy 2006. Inventory field plots were 120m×120m quadrants, and Chlorophyll of pixel is deduced from field data of 360 trees. Generally good results are found for Cab estimation at pixel level with indices such as, (R734-R747)/(R715+R726), Blog(1/R737), (R694-R680)/(R732-R760), TCARI, TCARI/OSAVI, MCARI/OSAVI and so on. It was found that (R734-R747)/(R715+R720), Blog(1/R737), D715/D705, (R734-R747)/(R715+R726), (R694-R680)/(R732-R760),R740/R720 were successfully test on leaves and piexls. On the other hand, the "modified" indices (TCARI, MCAVI, TCARI/OSAVI, MCARI/OSAVI) already give good results at the piexl level.