Journal
REMOTE SENSING
Volume 8, Issue 10, Pages -Publisher
MDPI AG
DOI: 10.3390/rs8100813
Keywords
global monitoring; probability-based; survey design; global grid; collaborative science; citizen science
Categories
Funding
- NASA [NNX15AD41G]
- NASA [NNX15AD41G, 809404] Funding Source: Federal RePORTER
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Recent guidance on environmental modeling and global land-cover validation stresses the need for a probability-based design. Additionally, spatial balance has also been recommended as it ensures more efficient sampling, which is particularly relevant for understanding land use change. In this paper I describe a global sample design and database called the Global Grid (GG) that has both of these statistical characteristics, as well as being flexible, multi-scale, and globally comprehensive. The GG is intended to facilitate collaborative science and monitoring of land changes among local, regional, and national groups of scientists and citizens, and it is provided in a variety of open source formats to promote collaborative and citizen science. Since the GG sample grid is provided at multiple scales and is globally comprehensive, it provides a universal, readily-available sample. It also supports uneven probability sample designs through filtering sample locations by user-defined strata. The GG is not appropriate for use at locations above +/- 85 degrees because the shape and topological distortion of quadrants becomes extreme near the poles. Additionally, the file sizes of the GG datasets are very large at fine scale (resolution similar to 600 m x 600 m) and require a 64-bit integer representation.
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