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- Title
Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery.
- Authors
Schepaschenko, Dmitry; See, Linda; Lesiv, Myroslava; Bastin, Jean-François; Mollicone, Danilo; Tsendbazar, Nandin-Erdene; Bastin, Lucy; McCallum, Ian; Laso Bayas, Juan Carlos; Baklanov, Artem; Perger, Christoph; Dürauer, Martina; Fritz, Steffen
- Abstract
The land area covered by freely available very high-resolution (VHR) imagery has grown dramatically over recent years, which has considerable relevance for forest observation and monitoring. For example, it is possible to recognize and extract a number of features related to forest type, forest management, degradation and disturbance using VHR imagery. Moreover, time series of medium-to-high-resolution imagery such as MODIS, Landsat or Sentinel has allowed for monitoring of parameters related to forest cover change. Although automatic classification is used regularly to monitor forests using medium-resolution imagery, VHR imagery and changes in web-based technology have opened up new possibilities for the role of visual interpretation in forest observation. Visual interpretation of VHR is typically employed to provide training and/or validation data for other remote sensing-based techniques or to derive statistics directly on forest cover/forest cover change over large regions. Hence, this paper reviews the state of the art in tools designed for visual interpretation of VHR, including Geo-Wiki, LACO-Wiki and Collect Earth as well as issues related to interpretation of VHR imagery and approaches to quality assurance. We have also listed a number of success stories where visual interpretation plays a crucial role, including a global forest mask harmonized with FAO FRA country statistics; estimation of dryland forest area; quantification of deforestation; national reporting to the UNFCCC; and drivers of forest change.
- Subjects
FOOD &; Agriculture Organization of the United Nations; FOREST management; FOREST monitoring; ESTIMATION theory; AUTOMATIC classification; DEFORESTATION; TIME series analysis
- Publication
Surveys in Geophysics, 2019, Vol 40, Issue 4, p839
- ISSN
0169-3298
- Publication type
Article
- DOI
10.1007/s10712-019-09533-z