Analysis of vegetation changes in land area of Syrdarya region using GIS technology and remote sensing data

Author:

Ruzikulova Oykhumor

Abstract

This article presents a map of vegetative changes in the Syrdarya region based on remote sensing data. Landsat 8 and Landsat 9 satellite images were used for analysis during the vegetation active period. The study examines the vegetation state of the selected area from 2000 to 2022 and analyzes the changes. The Normalized Difference Vegetation Index (NDVI) was calculated using ArcGIS 10.6 software and documented sequentially. The number of color-coded pixels on the map indicating the health and unhealthiness of the crops and the areas they occupy was determined through NDVI analysis. The study revealed a decrease in the vegetation layer in the Syrdarya region, and the reasons for this phenomenon were discussed. The article demonstrates the usefulness of remote sensing in analyzing vegetational changes over time and its potential applications in monitoring the health and productivity of crops in different regions. Overall, this research is valuable for developing strategies to mitigate the impact of vegetation loss in the Syrdarya region and similar regions facing similar challenges.

Publisher

EDP Sciences

Subject

General Medicine

Reference24 articles.

1. Malik M S, Shukla J P and Mishra S 2019 Relationship of LST, NDBI and NDVI using landsat-8 data in Kandaihimmat watershed, Hoshangabad, India Indian J. Geo-Marine Sci. 48 25–31

2. Bhunia G S, Shit P K, Pourghasemi H R and Edalat M 2019 Prediction of Soil Organic Carbon and its Mapping Using Regression Analyses and Remote Sensing Data in GIS and R (Elsevier Inc.)

3. Tam N T, Dat H T, Tam P M, Trinh V T and Hung N T 2020 Agricultural Land-Use Mapping with Remote Sensing Data Agricultural Land-Use Mapping with Remote Sensing Data

4. Tsangaratos P, Ilia I and Matiatos I 2019 Spatial Analysis of Extreme Rainfall Values Based on Support Vector Machines Optimized by Genetic Algorithms (Elsevier Inc.)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3