Sensitivity of Landsat 7 & 8-derived vegetation indices on semi-arid rangelands of southwestern Uzbekistan-Reference-Cited by-同舟云学术

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Sensitivity of Landsat 7 & 8-derived vegetation indices on semi-arid rangelands of southwestern Uzbekistan

Published:2020-02-11 Issue:2 Volume:37 Page:510-525
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Rajabov Toshpulot F.¹,Ramsey R. Douglas²,Mardonov Bakhtiyor K.¹,Nasirov Muhtor G.¹,Rakhimova Tashkhanim³,Valiev Shuhrat A.¹

Affiliation:

1. Department of Botany, Samarkand State University, Samarkand, Uzbekistan

2. Department of Wildland Resources, Quinney College of Natural Resources, Utah State University, Logan, UT, USA

3. Laboratory of Geobotany and Plant Ecology, Institute of Botany, Academy of Sciences, Tashkent, Uzbekistan

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2020.1723715

Reference50 articles.

1. Satellite remote sensing of grasslands: from observation to management

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1. Estimation of standing crop biomass in rangelands of the Middle Atlas mountains using remote sensing data;African Journal of Range & Forage Science;2024-08-27

2. Phytocoenotic Distribution of Hulthemia persica (Michaut ex Juss.) Bornm. (Rosaceae) under Different Ecological Conditions in Uzbekistan;Plant Science Today;2024-01-22

3. Current state of Anabasis salsa pasture varieties in Karakalpak Ustyurt (Uzbekistan) due to Aral Sea drying;Plant Science Today;2022-10-02

4. Spatiotemporal characterization of land cover and degradation in the agreste region of Pernambuco, Brazil, using cloud geoprocessing on Google Earth Engine;Remote Sensing Applications: Society and Environment;2022-04

5. Land–Use and Land-Cover Change Detection Using Dynamic Time Warping–Based Time Series Clustering Method;Canadian Journal of Remote Sensing;2020-01-02

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