STUDY OF CLIMATE CHANGE BASED ON SATELLITE IMAGERY AND GOOGLE EARTH ENGINE (IN THE CONTEXT OF THE REPUBLIC OF KARAKALPAKSTAN)

STUDY OF CLIMATE CHANGE BASED ON SATELLITE IMAGERY AND GOOGLE EARTH ENGINE (IN THE CONTEXT OF THE REPUBLIC OF KARAKALPAKSTAN) Berdimbetov Timur Tileubergenovich PhD, Nukus State Technical University; Institute of Agriculture and Agrotechnologies of Karakalpakstan E-mail: [email protected] Kipshakbaeva Gauxar Adilbaevna Institute of Agriculture and Agrotechnologies of Karakalpakstan E-mail: [email protected] Yerejepov Miyratdiyn Sharapatdiyn ulı First-year master's student, Nukus State Technical University E-mail: [email protected] https://doi.org/10.5281/zenodo.19736283 Abstract: This study investigates the dynamics of climate change in the Republic of Karakalpakstan using multi-temporal satellite imagery and the Google Earth Engine (GEE) cloud platform. By integrating Landsat and MODIS datasets, Land Surface Temperature (LST) and the Normalized Difference Vegetation Index (NDVI) were analyzed to assess regional environmental shifts. The spatio-temporal analysis reveals a significant trend of rising surface temperatures coupled with a progressive decline in vegetation density, signaling intensified aridification and drought processes. These findings provide a robust empirical basis for environmental monitoring and the formulation of sustainable adaptation strategies in the Aral Sea region. Keywords: climate change, Karakalpakstan, Google Earth Engine, Land Surface Temperature (LST), NDVI, Aral Sea, desertification, remote sensing.

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Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-24
DOI
https://doi.org/10.5281/zenodo.19736283
Primary Topic
Engineering and Agricultural Innovations
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article
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article

STUDY OF CLIMATE CHANGE BASED ON SATELLITE IMAGERY AND GOOGLE EARTH ENGINE (IN THE CONTEXT OF THE REPUBLIC OF KARAKALPAKSTAN)

Berdimbetov Timur Tileubergenovich, Kipshakbaeva Gauxar Adilbaevna, Yerejepov Miyratdiyn Sharapatdiyn ulı
Zenodo (CERN European Organization for Nuclear Research)
Engineering and Agricultural Innovations
article

STUDY OF CLIMATE CHANGE BASED ON SATELLITE IMAGERY AND GOOGLE EARTH ENGINE (IN THE CONTEXT OF THE REPUBLIC OF KARAKALPAKSTAN)

Berdimbetov Timur Tileubergenovich, Kipshakbaeva Gauxar Adilbaevna, Yerejepov Miyratdiyn Sharapatdiyn ulı
article en

Abstract

STUDY OF CLIMATE CHANGE BASED ON SATELLITE IMAGERY AND GOOGLE EARTH ENGINE (IN THE CONTEXT OF THE REPUBLIC OF KARAKALPAKSTAN) Berdimbetov Timur Tileubergenovich PhD, Nukus State Technical University; Institute of Agriculture and Agrotechnologies of Karakalpakstan E-mail: [email protected] Kipshakbaeva Gauxar Adilbaevna Institute of Agriculture and Agrotechnologies of Karakalpakstan E-mail: [email protected] Yerejepov Miyratdiyn Sharapatdiyn ulı First-year master's student, Nukus State Technical University E-mail: [email protected] https://doi.org/10.5281/zenodo.19736283 Abstract: This study investigates the dynamics of climate change in the Republic of Karakalpakstan using multi-temporal satellite imagery and the Google Earth Engine (GEE) cloud platform. By integrating Landsat and MODIS datasets, Land Surface Temperature (LST) and the Normalized Difference Vegetation Index (NDVI) were analyzed to assess regional environmental shifts. The spatio-temporal analysis reveals a significant trend of rising surface temperatures coupled with a progressive decline in vegetation density, signaling intensified aridification and drought processes. These findings provide a robust empirical basis for environmental monitoring and the formulation of sustainable adaptation strategies in the Aral Sea region. Keywords: climate change, Karakalpakstan, Google Earth Engine, Land Surface Temperature (LST), NDVI, Aral Sea, desertification, remote sensing.

Zenodo (CERN European Organization for Nuclear Research)
Andijan Institute of Agricultural (UZ), Abiola Ajimobi Technical University Ibadan (NG), Karakalpak State University (UZ), Institute of Agriculture and Agrotechnologies of Karakalpakstan
Openalex Percentile: Top 4%
Engineering and Agricultural Innovations
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