Titlebook: Geo-intelligence for Sustainable Development; T. P. Singh,Dharmaveer Singh,R. B. Singh Book 2021 The Editor(s) (if applicable) and The Aut

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Geo-intelligence in Public Health: A Panoptical to COVID-19 Pandemic,ate, and crowding index. Not individually but together, these indices highlighted extreme cases of COVID-19. States like Maharashtra in India were high in crowding index as well as demographic vulnerability index and hence, a greater number of deaths were observed. On the other hand, Mizoram showed

Conspiracy

Urban Growth Impact on Cauvery River: A Geospatial Perspective,-5 TM (30?m), Landsat-8 OLI (30?m) and Resourcesat-2 LISS IV MX (5.8?m) were utilized to understand and assess the temporal changes in the study region. Stream network was derived from Open Street Maps (OSM)/India-Water Resources Information System (India-WRIS) using Digital Elevation Model (DEM). R

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Long-Term Satellite Data Time Series Analysis for Land Degradation Mapping to Support Sustainable Lunt their probabilistic distribution. The proposed approach is applied in assessing long-term changes of the land cover in the Southern Ukraine, the region suffering the most from land degradation. Two land cover maps, for two distant years, were obtained with overall relevant accuracy. As a result

FUME

Modeling of the Mass Balance of Glaciers with Debris Cover,ng the last few decades, many mass-balance models have been proposed, which vary from degree-day models to energy-balance models. This chapter will introduce the recent progress of glacier mass balance modeling over the Tibetan Plateau and surroundings, as well as other regions of the world. In part

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Geo-Intelligence-Based Approach to Investigate Temporal Changes in the Length and Surface Area and is tedious and challenging. The exploitation of geospatial data and information through Geo-intelligence (GI) has, thus, emerged as a data collection and processing method in the study of glaciers. It processes images from satellites and airborne vehicles with high-end mathematical and statistical a

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https://doi.org/10.1007/978-3-642-94160-3Poverty and food insecurity are interrelated, for instance, economically challenged people tend to be more vulnerable to food prices shocks and access. Human beings rely on terrestrial ecosystem for survival from where it is estimated that over 90% of food comes from. It is also viewed as a source o