Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation
  Parks Using Remote Sensing Imagery   Illegal wildlife poaching is driving the loss of biodiversity. To combat
poaching, rangers patrol expansive protected areas for illegal poaching
activity. However, rangers often cannot comprehensively search such large
parks. Thus, the Protection Assistant for Wildlife Security (PAWS) was
introduced as a machine learning approach to help identify the areas with
highest poaching risk. As PAWS is deployed to parks around the world, we
recognized that many parks have limited resources for data collection and
therefore have scarce feature sets. To ensure under-resourced parks have access
to meaningful poaching predictions, we introduce the use of publicly available
remote sensing data to extract features for parks. By employing this data from
Google Earth Engine, we also incorporate previously unavailable dynamic data to
enrich predictions with seasonal trends. We automate the entire
data-to-deployment pipeline and find that, with only using publicly available
data, we recuperate prediction performance comparable to predictions made using
features manually computed by park specialists. We conclude that the inclusion
of satellite imagery creates a robust system through which parks of any
resource level can benefit from poaching risks for years to come.

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The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th