•  
  •  
 

Karakalpak Scientific Journal

Abstract

In the article presents the radiometric readings of the Landsat satellite in landscape monitoring. The object of the research is the monitoring of agro-irrigation landscapes adjacent to the Aydar-Arnasay lakes system using Landsat 8 EVI (Enhanced Vegetation Index). Landsat EVI proved to be the most optimal vegetative index for plant monitoring.

First Page

22

Last Page

29

References

1. Dzhalilova G. O'zbekiston o'rta va past tog'laridagi eroziya jarayonlarini geoaxborot tahlili (Chotqol va Turkiston tog'lari tuproqlari misolida). Bio.fan.dok. (DSc) avtoref. -T.: 2018.-53 b

2. Meliev B.A. O'rta Zarafshon landshaftlarini tadqiq etishda zamonaviy (aerokosmik, matematik, geoinformacion) metodlardan foydalanish. PhD avtoref. -Samarqand, 2019. -40 b.

3. Bogaert J. and Hong S. 2004. Landscape Ecology: Monitoring Landscape dynamics using spatial pattern metrics. //Ecological use in a Changing World. –P.109-132.

4. Chander G., Markham B.L., Helder D.L., Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+ and EO-1ALI sensors. //Romote sensing of environment. 2009. 113 (5), 893-903.

5. Franklin S.E., et al., 2000. Quantification of landscape change from satellite remote sensing. //The forestry chronicle, VOL. 76, NO. 6. –p. 877-886.

6. Gao B.C. NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space. //Remote Sensing of Environment 58: 1996. –P. 257-266.

7. Huete A. et al. Olerview of the radiometric and biophysical performance of the MODIS vegetation indeces //Romote Sensing of Enveroment. 2002. Vol. 32: 195-213.

8. Kaufman Y.J. and Tanre D. 1992. Atmospherically Resistant Vegetation Index (ARVI) for EOS-MODIS. //IEEE Transactions on geoscience and remote sensing, Vol.30. NO.2.–P. 261-270.

9. Mcfeeters S.K. 1996. The use of the Normalized Difference Water Index (NDWI) in thedelineation of open water features. J. Remote sensing. VOL. 17, No. 7, 1425-1432.

10. Newton A.C., et al. 2009. Remote sensing and the future of landscape ecology. //Progress in Physical Geography 33(4), - pp. 528–546.

11. Sabirova N.T., & Berdikulov F.F. 2020. The importance of remote sensing in landscape research (on the example of adjacent areas of Aydar-Arnasay lake system). Russian Science in the Modern World. XXX International Scientific-Practical conference. –Moscow. –P.166-169.

12. Sabirova N. 2019. The importance of aerospace methods in the study of landscapes transformation (in the case of adjacent areas of the Aydar-Arnasay lakes system). Pacific island science, technology and resources network conference. -Suva, Fiji. –P.30.

13. Vina A., et al. 2004. Satellite monitoring of vegetation dynamics: Sensitivity enhancement by the wide dynamic range vegetation index.// Geophysical research letters, Vol. 31. –P. 1-4.

14. Welikhe P. et al. 2017. Estimation of Soil Moisture Percentage Using LANDSAT-based Moisture Stress Index. //Journal of Remote Sensing & GIS.

15. Wahyuni S., et al. 2009. Analysis of water-level fluctuations in Aydarkul-Arnasay-Tuzkan lake system and its impacts on the surrounding groundwater level. //Annual Journal of Hydraulic Engineering, JSCE, Vol.53: 37-42.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.