Titlebook: Geospatial Technology to Support Communities and Policy; Pathways to Resilien Swagata Ghosh,Maya Kumari,Varun Narayan Mishra Book 2024 The

nerve-sparing

GRACE

Three-Dimensional Constitutive Equations,ns and ecosystems all over the world. In this context, Machine Learning (ML) has become a potent tool that enables scientists and forest managers to estimate fire risks and develop effective fire prevention and recovery systems. However, using Machine Learning (ML) algorithms in decision-making rais

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Re-inventing Engineering Curriculum,c activities can alter soil and affect health of soil. These activities include excess use of chemical fertilizers, pesticides, irrigation, faulty agricultural practices, modern machinery, shifting cultivation etc. Alternative exists in the form of precision agriculture, as it will help in practicin

epidermis

Johan Natt och Dag,Vincenzo Gervasiand creation of many forms of the spatial data and their data base management. In this context, geospatial techniques provided a scope to monitor of these resources using different satellite data for their management. In remote sensing technology, Electromagnetic (EM) energy is the principal source

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使人入神

Graph and Network Toolbox: Metanetrmalized Difference Vegetation Index (NDVI) are global-based vegetation indicators intended to deliver information regarding spatial and temporal data about the world’s vegetation. These indicators could, however, contain, mistakes caused by various environmental conditions such as air conditions an

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Mahmoud Abdulwahed,Mazen O. Hasnahin the atmosphere. These particles emanate from diverse sources, encompassing vehicular emissions, industrial processes, construction activities, and natural contributors like dust and pollen (Guan et al., Environ Pollut 230:189–198. ., 2017). The variegated composition and size distribution of the