Monitoring Land Use And Land Cover Changes In
Turkmenistan Using Remote Sensing
Author(s)
L. Orlovsky, S. Kaplan, N. Orlovsky, D. Blumberg
& E. Mamedov
Abstract
In Turkmenistan the most prominent cause for desertification is inappropriate
land use practices. The natural arid pastures have limited carrying capacity and
any changes of the fragile balance can lead to the destruction of this valuable
resource. One of the most appropriate tools for monitoring these processes is
change detection through remote sensing imagery. Accurate monitoring of
changes on the Earth's surface is important to understand the relationship
between man and nature and to provide decision makers with relevant
information. The information on vegetation change is the most important of
these relationships. Vegetation cover is also a useful indicator of the magnitude
of land degradation that is easily assessed by multispectral remote sensing. The
reduced vegetation cover causes an increase in albedo, which can also be
monitored by remote sensing. The combination of these two parameters can give
us a better map of the pasture status and its degradation rate. Landsat TM and
ETM+ images were processed to maps of land use/land cover changes in
northern Turkmenistan. The data were further processed in GIS and revealed the
shrinking and the degradation of the pasture area. From the 1970s a total of
~4000km2 of pasture were transformed into agricultural land, increasing the
grazing pressure in the remaining areas. By applying advanced techniques for
image based end-member retrieval and spectral mixture analysis a sub-pixel
fraction was obtained for each end-member. The fractions of soil and vegetation
emphasize the most degraded/rehabilitated sectors of the study area. Our results
indicate the reduction of vegetation in specific areas while most of the desert
experiences an increase in the vegetation cover. Our current study focuses on
combining the spectral mixture analysis products with other degradation criteria
such as change detection using albedo and vegetation indices to produce a more
detailed assessment and understanding of the processes leading to these changes.
Keywords: Central Asia, pastures, irrigation, secondary salinization.
Keywords
Central Asia, pastures, irrigation, secondary salinization.
Related Book
Other papers in this volume
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