Impact of Elevation and Aspect on the Spatial Distribution of Vegetation in the Qilian Mountain Area with Remote Sensing Data

نویسندگان

  • X. M. Jin
  • Y.-K. Zhang
چکیده

The spatial distribution of vegetation in the Qilian Mountain area was quantified with remote sensing data. The MODIS NDVI values for June, July, August and September are the best indicators for the vegetation growth during a year in this area and thus were used in this study. The results obtained by analyzing the NDVI data for seven years from 2000 to 2006 clearly indicated that elevation is the dominating factor determining the vertical distribution of vegetation in the area: the vegetation growth is at its best between the elevations of 3200 m and 3600 m with the NDVI values lager than 0.5 and a peak value of larger than 0.56 at 3400 m. The horizontal distribution of vegetation within the zone of 3200 m and 3600 m is significantly impacted by the aspect of hillslopes: the largest NDVI value or the best vegetation growth is found in the shady slope whose aspect is between NW340o to NE70o due to relatively less evapotranspiration. The methodology developed in this study should be useful for similar ecological studies related to vegetation distribution.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Introducing Satellite Remote Sensing Systems and its Application in Archaeology Case Study: Behshahr Plain- Mazandaran

Human groups have considered the Behshahr plain of Mazandaran in the past Due to its particular geographical shape, location between the Caspian Sea and mountains, and the existence of some rivers in the region. However, our knowledge of this area is limited to several published surveys and archaeological investigation of its ancient sites. No detailed research has conducted on the formation of...

متن کامل

Application of remote sensing data in measuring the area of the Zardkuh glaciers

Glaciers influenced by climatic factors and therefore as an important indicator in the study of climate change are studied. Although morphometric analyzes of glaciers based on the analysis of optical satellite data can provide an opportunity to measure ice outcrops, but the identification and determination of the buried glaciers underneath the glacial debris and, consequently, the determination...

متن کامل

Remote Sensing Based Retrieval of Snow Cover Properties Case Study (Shirkooh Mountain Yazd, Iran)

Snow cover area is one of the most important criteria to calculate snow melt runoff. This can have an effect on the biology of the plant and the environment of a region. Using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. Most of the useful methods in calculating snow cover area are based on satellite i...

متن کامل

Remote Sensing Based Retrieval of Snow Cover Properties Case Study (Shirkooh Mountain Yazd, Iran)

Snow cover area is one of the most important criteria to calculate snow melt runoff. This can have an effect on the biology of the plant and the environment of a region. Using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. Most of the useful methods in calculating snow cover area are based on satellite i...

متن کامل

Air temperature estimation based on environmental parameters using remote sensing data

 This study is aimed at estimating monthly mean air temperature (Ta) using the MODIS Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), latitude, altitude, slope gradient and land use data during 2001-2015. The results showed that despite some spatial similarities between annual spatial patterns of Ta and LST, their variations are significantly different, so that the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008