Abstract
Development of economic way and increased population caused rapid changes to Earth’s land cover over the past few centuries and for sure these changes in land will be more rapid in time. Rapid changes in land cover affect the ability of the land to support human activities through the supply of various ecosystem services because the subsequent economic activities cause counter climate and other facets of worldwide change. To Deland cover languages in land covered faultlessly, a model that catches the changes between two date times is necessary. With satellite Natural Agricultural Imagery Project (NAIP) images, this study uses multi-spectral images of two timestamps to disclose land cover ranges over a piece of land. Detection of land cover changes can be done with the object-based classification of the area. Geospatial analysis is carried out through Google Earth Engine (GEE).
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Puligadda, P., Manne, S., Raja, D.R. (2024). Land Cover Changes Detection Based on Object-Based Image Classification Using the Google Earth Engine. In: Shrivastava, V., Bansal, J.C., Panigrahi, B.K. (eds) Power Engineering and Intelligent Systems. PEIS 2023. Lecture Notes in Electrical Engineering, vol 1098. Springer, Singapore. https://doi.org/10.1007/978-981-99-7383-5_22
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DOI: https://doi.org/10.1007/978-981-99-7383-5_22
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