Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: So2Sat POP -- A Curated Benchmark Data Set for Population Estimation
  from Space on a Continental Scale   Obtaining a dynamic population distribution is key to many decision-making
processes such as urban planning, disaster management and most importantly
helping the government to better allocate socio-technical supply. For the
aspiration of these objectives, good population data is essential. The
traditional method of collecting population data through the census is
expensive and tedious. In recent years, machine learning methods have been
developed to estimate the population distribution. Most of the methods use data
sets that are either developed on a small scale or not publicly available yet.
Thus, the development and evaluation of the new methods become challenging. We
fill this gap by providing a comprehensive data set for population estimation
in 98 European cities. The data set comprises digital elevation model, local
climate zone, land use classifications, nighttime lights in combination with
multi-spectral Sentinel-2 imagery, and data from the Open Street Map
initiative. We anticipate that it would be a valuable addition to the research
community for the development of sophisticated machine learning-based
approaches in the field of population estimation.

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The categories of this paper are: plasm-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: supr-con
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The categories of this paper are: cmp-lg
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The categories of this paper are: adap-org
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The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
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The categories of this paper are: math-ph
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The categories of this paper are: q-alg
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The categories of this paper are: funct-an
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The categories of this paper are: gr-qc
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The categories of this paper are: mtrl-th
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The categories of this paper are: nlin
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The categories of this paper are: chem-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: hep-lat