Browsing by Author "Upreti, Manjari"

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    Earth observations for urban policies and future pathways for urban environmental research
    (Elsevier, 2023) Ekka, Pawan; Upreti, Manjari; Shilky; Saikia, Purabi; Kumar, Amit; Pandey, Prem C.; Srivastava, Prashant K.
    Urban research is now evolving, and there are several challenges that need to be addressed in the near future, which has led to pathways for further development. The scientific community must consider a multitude of options for urban monitoring, evaluation, planning, and management. In this chapter, we have provided a brief overview of different models for urban studies and research based on Earth observation datasets. This chapter discusses a variety of potential research areas, including satellite-based monitoring of urban areas, IoT and cloud computing in urban management, and the use of machine learning in urban environmental research. In addition to digitization, the availability of big data sets, machine learning (ML), and artificial intelligence (AI) will revolutionize the way urban areas are analyzed and planned, opening up new possibilities for sustainable urban challenges. The chapter outlines qualitative and quantitative methods utilizing predictive models and scenario analysis for identifying and implementing urban environmental policies. The recommendations provided in this chapter can be used for further urban studies, research, and the development of smart and resilient cities. � 2024 Elsevier Ltd. All rights reserved.
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    Introduction to earth observation in urban monitoring
    (Elsevier, 2023) Kumar, Amit; Upreti, Manjari; Ekka, Pawan; Prasad, Alisha; Saikia, Purabi; Srivastava, Prashant K.
    The rapid urban growth and increasing demand for natural resources lead to the considerable environmental degradation and habitat loss. The application of earth observation-based methods enables a better understanding of urban complexity with different spatio-spectral resolutions at temporal scales and contributes to addressing the adverse ecological impacts. There is an urgent need to understand the interdependencies of ecological conditions and changing urban growth to formulate a city-specific framework for sustainable urban development. Therefore the present chapter elucidates the fundamental components of the urban system emphasizing the earth observation-based technologies available to assess the urban environmental conditions that help in defining the settlement pattern and segregation of different land cover features. The inclusion of advanced artificial intelligence and machine learning algorithms provides precision analysis for future predictions and formulation of mitigation strategies. Furthermore, it helps in the determination of factors responsible for urban risk and of societal importance as well as in the implementation of significant policies and reforms for sustainable urban planning, monitoring, and management. � 2024 Elsevier Ltd. All rights reserved.
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    Monitoring urban ecological conditions using remote sensing
    (Elsevier, 2023) Upreti, Manjari; Kumar, Amit; Prasad, Alisha; Srivastava, Prashant K.; Saikia, Purabi
    Urban ecosystem assessment and monitoring is a complex and dynamic blend of socioeconomic and physical components. The significant changes in land surfaces and pollutant concentrations in the atmosphere due to anthropogenic influences may pose risks and susceptibility to ecological hazards in urban areas as they concentrate more on population, assets, infrastructure, etc. Satellite-based remote sensing observation provides an understanding of urban evolution and its capacity to preserve natural resources and plays an important role in evaluating the ecosystem service value, seasonal dynamics, and vegetation structure. Evaluation of green infrastructures as an important instrument for reducing carbon footprint, effects of land transformation and fragmentation, and boosting the opportunities for the better integration of land use and ecosystem services in different geographical regions. The utilization of a remote sensing-based ecological index approach exhibiting the Pressure-State-Response framework to assess eco-environmental conditions in urban areas. The advances in satellite-based earth observation with the inclusion of emerging tools and algorithms in different spatiotemporal scales have made it possible to strategize multiple ecological workflow models to study urban ecological conditions. Therefore it has provided improved scientific opportunities for sustainable monitoring, management, and planning of biodiversity conservation, and ecosystem restoration, especially in urban ecosystems. The present chapter emphasizes the complexities and ecological imbalances with increasing urbanization at local, regional, and global levels. � 2024 Elsevier Ltd. All rights reserved.