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This study focuses on the classification of rangeland health in a region of Uzbekistan, utilizing Normalized Difference Vegetation Index (NDVI) values and field-based vegetation samples. NDVI values, which ranged from −0.076 to 0.480, were analyzed alongside field data to classify rangeland health into four distinct categories: healthy, low degraded, moderately degraded, and highly degraded. The classification thresholds were defined as follows: Healthy rangeland: NDVI values greater than 0.246, indicating dense and robust vegetation cover. Low degraded rangeland: NDVI values between 0.145 and 0.246, suggesting slight vegetation stress or degradation. Moderately degraded rangeland: NDVI values between 0.05 and 0.145, reflecting a notable decline in vegetation health. Highly degraded rangeland: NDVI values below 0.05, indicative of severely deteriorated vegetation or bare soil. This study underscores the effectiveness of NDVI-based remote sensing techniques for rapidly assessing rangeland health. By integrating NDVI data with ground-truth field samples, researchers can accurately identify areas experiencing degradation and prioritize them for targeted management interventions. Such assessments play a critical role in developing strategies for conservation, restoration, and sustainable utilization of rangeland ecosystems. mThe application of Remote Sensing (RS) and Geographical Information Systems (GIS) technologies in rangeland monitoring in Uzbekistan has shown significant potential to enhance management practices. These tools provide a cost-effective and scalable approach to regularly monitor the status of rangelands, enabling timely decisions for addressing degradation. Furthermore, they contribute to long-term ecological sustainability by supporting the implementation of policies aimed at conserving biodiversity, improving ecosystem services, and mitigating the impacts of climate change and anthropogenic activities on rangeland ecosystems.

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Assessment of Rangeland Health Using NDVI and Remote Sensing Techniques in Uzbekistan’s Foothill Artemisia-Ephemeral Region

  • 会议论文

  • 发表日期：

    2025年

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  • Mahmud A. Muminov,
  • Muhtor G. Nosirov,
  • Toshpulot F. Rajabov,
  • Shuhrat A. Valiev,
  • Mukhiddin Juliev,
  • Akbar Akhmedov

摘要

This study focuses on the classification of rangeland health in a region of Uzbekistan, utilizing Normalized Difference Vegetation Index (NDVI) values and field-based vegetation samples. NDVI values, which ranged from −0.076 to 0.480, were analyzed alongside field data to classify rangeland health into four distinct categories: healthy, low degraded, moderately degraded, and highly degraded. The classification thresholds were defined as follows: Healthy rangeland: NDVI values greater than 0.246, indicating dense and robust vegetation cover. Low degraded rangeland: NDVI values between 0.145 and 0.246, suggesting slight vegetation stress or degradation. Moderately degraded rangeland: NDVI values between 0.05 and 0.145, reflecting a notable decline in vegetation health. Highly degraded rangeland: NDVI values below 0.05, indicative of severely deteriorated vegetation or bare soil. This study underscores the effectiveness of NDVI-based remote sensing techniques for rapidly assessing rangeland health. By integrating NDVI data with ground-truth field samples, researchers can accurately identify areas experiencing degradation and prioritize them for targeted management interventions. Such assessments play a critical role in developing strategies for conservation, restoration, and sustainable utilization of rangeland ecosystems. mThe application of Remote Sensing (RS) and Geographical Information Systems (GIS) technologies in rangeland monitoring in Uzbekistan has shown significant potential to enhance management practices. These tools provide a cost-effective and scalable approach to regularly monitor the status of rangelands, enabling timely decisions for addressing degradation. Furthermore, they contribute to long-term ecological sustainability by supporting the implementation of policies aimed at conserving biodiversity, improving ecosystem services, and mitigating the impacts of climate change and anthropogenic activities on rangeland ecosystems.