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Climate Change Parameter Dataset (CCPD): A Benchmark Dataset for Climate Change Parameters in Jammu and Kashmir

  • Tajamul Ashraf,
  • Janibul Bashir

摘要

In this paper, we present a Climate Change Parameter Dataset (CCPD) intending to achieve state-of-the-art results in parameters which effect climate change, including forest cover, water bodies, agriculture and vegetation, population, temperature, construction, and air index. The dataset can be used by the research community to validate the claims made in relation to the climate change. Research community has been deeply involved in extending the use case of machine learning algorithms to the effects of climate change. However, the non-availability of sufficient data related to climate change parameters has limited the research in this domain. By presenting this dataset, we want to facilitate the researchers. In this dataset, we provide a large variety of statistical and satellite data acquired by various image processing techniques and on-ground data collection. The data is collected in abundance for a specific region, and then various machine learning techniques are used to extract the useful data related to each parameter separately. We call this amalgam of processed data as CCPD dataset. CCPD dataset contains over 6000 data points for all seven parameters and covers the data from 1960 onwards. We hope this dataset will aid the research community in tackling climate change with the help of AI.