15531 17 85413 2 240101 document 85413 land-07-00118-v2.pdf application/pdf 626e92b2af9d8cecec3583ac12c2ac67 MD5 7963652 2018-10-15 08:03:27 https://pure.iiasa.ac.at/id/eprint/15531/1/land-07-00118-v2.pdf 15531 1 1 application/pdf text en public cc_by_4

land-07-00118-v2.pdf

published 85414 1 240108 document 85414 indexcodes.txt text/x-c++ b454536d9f2b5e170575102f2376eb2a MD5 10476 2018-10-15 08:13:15 https://pure.iiasa.ac.at/id/eprint/15531/2/indexcodes.txt 15531 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/85413 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/85413 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/85413 85418 2 240112 document 85418 small.jpg image/png 28fe84ba9a749fc9e391c11e76f55d36 MD5 1827 2018-10-15 08:13:31 https://pure.iiasa.ac.at/id/eprint/15531/6/small.jpg 15531 6 6 image/png other Thumbnails conversion from text to thumbnail_small en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/85413 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/85413 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/85413 archive 353 disk0/00/01/55/31 2018-10-15 08:11:25 2025-03-12 05:00:27 2018-10-15 08:11:25 article show Lesiv M. 8477 0000-0001-9846-3342 See L. 8571 0000-0002-2665-7065 Laso Bayas J.C. 2106 0000-0003-2844-3842 Sturn T. 2051 Schepaschenko D. 7435 0000-0002-7814-4990 Karner M. 1983 Moorthy I. 2089 0000-0002-3664-3855 McCallum I. 1731 0000-0002-5812-9988 Fritz S. 8130 0000-0003-0420-8549 pub prog_esm very high resolution imagery; land monitoring; validation data; calibration data, Geo-Wiki Very high resolution (VHR) satellite imagery from Google Earth and Microsoft Bing Maps is increasingly being used in a variety of applications from computer sciences to arts and humanities. In the field of remote sensing, one use of this imagery is to create reference data sets through visual interpretation, e.g., to complement existing training data or to aid in the validation of land-cover products. Through new applications such as Collect Earth, this imagery is also being used for monitoring purposes in the form of statistical surveys obtained through visual interpretation. However, little is known about where VHR satellite imagery exists globally or the dates of the imagery. Here we present a global overview of the spatial and temporal distribution of VHR satellite imagery in Google Earth and Microsoft Bing Maps. The results show an uneven availability globally, with biases in certain areas such as the USA, Europe and India, and with clear discontinuities at political borders. We also show that the availability of VHR imagery is currently not adequate for monitoring protected areas and deforestation, but is better suited for monitoring changes in cropland or urban areas using visual interpretation. 2018-10-11 published MDPI 10.3390/land7040118 181 276 172 301 279 144 211 202 98 public Land 7 4 118 TRUE 2073-445X Geo-Wiki FALSE no info:eu-repo/semantics/article