Based on Landsat MSS/TM images and CBERS-02 CCD data of Beitun Oasis in Ertix River Watershed in the years of
1972, 1989, 1999 and 2005, the landscape patterns for the past 30 years were analyzed. Using the GIS data collective
platform, we calculated the landscape pattern conversion probability matrix, landscape pattern index, and contribution
rates of major landscape components to characterize the impacts and responses of landscape pattern changes and
landscape ecological processes. The results indicate that in this region the areas of farmlands, urban & rural residential
lands and waters are increasing, the area of woodlands is decreasing, and that of grasslands is decreasing and then
increasing. In the desert landscape patterns, the areas of sandlands and Gobi deserts & bare lands are decreasing after
increasing, and those of saline or alkaline lands & marchlands are increasing obviously in the latter period. The features
of landscape ecological process of urban & rural residential lands are concentrated in spatial pattern, but for grasslands
and woodlands, those are fragmentized in spatial patterns. The landscape components convert very frequently, and the
landscape pattern is not stable. Woodlands ecosystem function reducing and soil salinization and alkalization result in a
negative influence on the local ecological system. It is essential to adjust the landscape patterns to rehabilitate and
construct the fragile ecological system of modern oasis landscape ecosystem in arid area and use water resources
reasonably, so that ecological environment and social economy is healthy and stable with sustainable development.
The growing concern about land resource management and the associated decline in land quality have led to the attention
of land consolidation in many countries. Land consolidation is a tool for improving the effectiveness of land cultivation
and may improve land productivity and possibly also the total factor productivity if it induces and enhances technical
progress and increases scale economies. Land consolidation can also improve labor productivity to supporting rural
development. Consolidation deals with a large number of phenomena, such as fields, roads, and land use, all of which
exhibit characteristic forms and patterns which can be analyzed as to their existing spatial organization, or as to their
changing spatial organization through time. This Paper put forward some approaches and advices about carrying out the
principles of the agro-land consolidation, guiding the ideology, developing the strategy and tidying up the farmland.
Firstly, the main conception and methodology of land consolidation are described. Then, the strengths and weaknesses of
land consolidation in their process are discussed. Finally, as an example, through analyzing of the present condition and
potential of land use and landscape in Beitun Oasis, China, a discussion and conclusions on land consolidation aided by
GIS are presented. This will certainly play an exemplary role in the similar areas of north-west arid zone of China.
Based on some remote sensing data and software platform of image processing and analysis, the standard image for ecological thematic mapping is decided. Moreover, the vegetation type maps and land sandy desertification type maps are made. Relaying on differences of natural resources and ecological environment in Tarim River Basin, the assessment indicator system and ecological fragility index (EFI) of ecological environment are built up. The assessment results are very severely. That is, EFI is only 0.08 in Akesu River Basin, it belongs to slight fragility area. EFI of Yarkant River Basin and upper reaches of Tarim River Basin are 0.23 and 0.25 respectively, both of them belong to general fragility areas. Meanwhile, EFI of Hotan River Basin and middle reaches of Tarim River Basin are 0.32 and 0.49 respectively; they all belong to middle fragility areas. However, the fragility of the lower reaches of Tarim River Basin belongs to severe fragility area that the EFI is 0.87.The maladjustment among water with hot and land as well as salt are hindrance of energy transfer and material circulation and information transmission. It is also the main reason that caused ecological environment fragility.
Optical vegetation coverage can be defined as the ratio of the optical information content of the actual vegetation to that of at the full of vegetation in pixel. Its reflectance model of NOAA/AVHRR is as follows: Cov equals RA2-RA1- rso/RA2V-RA1V-rso Where: Cov is optical vegetation coverage; RA2 and RA1 are respectively the reflectances of the second and the first channel; RA2V and RA1V are respectively the reflectance of the second and the first channel at the full of vegetation; rso is a constant, which is the difference of soil reflectance between the second channel and the first channel. Similarly, its radiance model of NOAA/AVHRR is as follows: Cov equals BA2-BA1-bso/BA2V-BA1V-bso Its geometric meaning is analogous to the ratio of the projection of plant branches and leaves to pixel area. OVC has removed effects of soil background, and shows the weight of vegetation optical information, moreover, it has a uniform standard, as a parameter for estimating vegetation biomass, it is better than DVI, RVI and NVI. This parameter is used to monitor vegetation growing in Xinjiang and achieved good results. In order to extract the spectral information of soil water contents, Cov is used to decompose pixels and removed the vegetation effects.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.