Browsing by Author "Aashri Chauhan"

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Challenges and future possibilities toward himalayan forest monitoring
(wiley, 2022) Ayushi Gupta; Prashant K. Srivastava; K.V. Satish; Aashri Chauhan; Prem C. Pandey
The Himalayan region is one of the most sensitive of the Earth's biodiversity hotspots. This chapter explores the environmental, cultural, and socio-economic importance of the Himalayan forest ecosystem, which is prone to rapidly increasing ecological deteriorations due to deforestation, forest fire, soil erosion, climate change, and various anthropogenic disturbances and challenges to monitoring these consequences for better management of the Himalayan forest. Satellite monitoring helps to identify and collect spatial data on land-use changes, emissions, and productions from forests as well other natural resources. Species distribution models are of paramount importance in the conservation and management of biodiversity, and are considered one of the spatially quantifiable essential biodiversity variables. Forest surveys in mountainous areas are particularly difficult due to variable topography and weather patterns. Seasonal taxonomic and floristic surveys are significantly more difficult and entirely dependent on nature's grace. © 2023 John Wiley & Sons Ltd. Published 2023 by John Wiley & Sons Ltd.
Earth observation applications for urban mapping and monitoring: research prospects, opportunities and challenges
(Elsevier, 2023) Aashri Chauhan; Md. Wasim; Smrutisikha Mohanty; Prem C. Pandey; Manish Pandey; Neeraj K. Maurya; Shalini Rankavat; Surya Bhushan Dubey
The significant loss of urban green spaces led to increasing Urban Heat Island (UHI) effects, environmental pollution, and other factors that have made it more difficult for societies to create healthier living conditions. The first-generation Earth Observation (EO) data like MODIS500 and GlobCover300 had less to moderate spectral and spatial resolution having limitations in the precise mapping of urban environmental variables. Monitoring and evaluating the urban environment have improved with the advancement of EO like GlobeCover30 and the Global Human Settlement Layer, which are connected to a multisensor approach, Unmanned Aerial Vehicles (UAVs) - LIDAR for 3D mapping, as well as microwave SAR applications. The present chapter offers an overview of interesting facets of urban area research that uses EO datasets directly or indirectly to address the complexity present in the urban environment for mapping and monitoring. It also offers potential future directions for creating a sustainable urban environment. It also included some case studies that demonstrate the potential of EO in mapping and monitoring urban areas, land use/land cover changes, air pollution, site suitability, road safety, urban flood monitoring, and UHI effects. © 2024 Elsevier Ltd. All rights reserved.