Published on 10/10/202510/10/2025 by Environmental Scientists 67 / 100 Powered by Rank Math SEO SEO Score Dr. Nawar Al-Tameemi | Soil and Water Conservation | Best Researcher Award Research Assistant | Beijing Forestry University | China Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343. Nawar Al-Tameemi | Soil and Water Conservation | Best Researcher Award
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.