Spectro-radiometer and spectral indices based environmental impact assessment for mango tree leaves in and around IIT Roorkee Campus, India

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Abstract

Cities require and use large quantities of energy and materials, metabolizing them and generating large quantities of waste products and pollutants, resulting in unsustainable urban environments. This polluted urban environment adversely affects ecological integrity and develop stress for different planting sites. Research is needed to evaluate the relative tolerance of tree species against changing urban ecological conditions with specific environment pollutants. The current state of art examines effects of air pollution on four major biochemical perimeters of tree health i.e. chlorophyll content, water content, carotenoid content and anthocyanin content. A Spectro-radiometer and remote sensing indices integrated approach is used to evaluate the impact of deteriorating air quality on mango tree planted in and around the Indian Institute of Technology Roorkee, campus. Four different Vegetation Indices content (Normalized Difference Vegetation Indices, modified normalized difference vegetation index, simple ratio and modified simple ratio) are used for estimate chlorophyll. Five different Water indices (Water index, Normalized water indices-1, Normalized water indices-2, Normalized water indices-3 and Normalized water indices-4) are used for estimating water content. Five different photochemical information indices (Carotenoid concentration index, photochemical reflectance index, Plant senescencing reflectance Index, and Carotenoid concentration index) are used for enumerate carotenoid content. Three different Anthocyanin Reflectance Indices (Modified Anthocyanin Content Index, Anthocyanin Reflectance Index and Modified Anthocyanin Reflectance Index) are used for determining anthocyanin content.

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APA

Pandey, A., & Jain, K. (2019). Spectro-radiometer and spectral indices based environmental impact assessment for mango tree leaves in and around IIT Roorkee Campus, India. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (Vol. 42, pp. 37–43). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-archives-XLII-3-W6-37-2019

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