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Remote Sens. 2016, 8(10), 813; doi:10.3390/rs8100813

A General-Purpose Spatial Survey Design for Collaborative Science and Monitoring of Global Environmental Change: The Global Grid

Conservation Science Partners, Fort Collins, CO 80524, USA
Academic Editors: Chandra Giri, Parth Sarathi Roy, Clement Atzberger and Prasad S. Thenkabail
Received: 4 June 2016 / Revised: 18 September 2016 / Accepted: 26 September 2016 / Published: 30 September 2016
(This article belongs to the Special Issue Monitoring of Land Changes)
View Full-Text   |   Download PDF [1408 KB, uploaded 30 September 2016]   |  

Abstract

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° 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 ~600 m × 600 m) and require a 64-bit integer representation. View Full-Text
Keywords: global monitoring; probability-based; survey design; global grid; collaborative science; citizen science global monitoring; probability-based; survey design; global grid; collaborative science; citizen science
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Theobald, D.M. A General-Purpose Spatial Survey Design for Collaborative Science and Monitoring of Global Environmental Change: The Global Grid. Remote Sens. 2016, 8, 813.

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