Guest lecture by Arun Kumar Pratihast, Postdoctoral Researcher, Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, The Netherlands

Freitag 27.1.2017, 10:15-11:00
Besprechungsraum 6ter Stock, Institut für Geographie

The unprecedented destruction of tropical forest cover has serious negative consequences on the regulation of the world’s climate cycle, biodiversity and other environmental variables. With rising global temperatures, improved forest monitoring, especially at the landscape scale has become increasingly important. Because forest changes manifest at a variety of spatial and temporal scales, effective monitoring will likely require an integrated approach, where detailed community-based in-situ observations are combined with remote sensing satellites. With these considerations in mind, this presentation will describe an integrated community based tropical forest monitoring system which combines emerging technologies, remote sensing and community-based observation in support of REDD+ monitoring, reporting and verification implementation.

Pratihast AK, DeVries B, Avitabile V, de Bruin S, Herold M, Bergsma A (2016) Design and Implementation of an Interactive Web-Based Near Real-Time Forest Monitoring System. PLoS ONE 11(3): e0150935. doi:10.1371/journal.pone.0150935

DeVries B, Pratihast AK, Verbesselt J, Kooistra L, Herold M (2016) Characterizing Forest Change Using Community-Based Monitoring Data and Landsat Time Series. PLoS ONE 11(3): e0147121. doi:10.1371/journal.pone.0147121

Pratihast, A., DeVries, B., Avitabile, V., de Bruin, S., Kooistra, L., Tekle, M., & Herold, M. (2014). Combining Satellite Data and Community-Based Observations for Forest Monitoring. Forests, 5, 2464-2489

Pratihast, A. K., M. Herold, et al. (2013). "Linking community-based and national REDD+ monitoring: a review of the potential." Carbon Management 4(1): 91-104.

Pratihast, A.K., Herold, M., Avitabile, V., de Bruin, S., Bartholomeus, H., Jr., C.M.S., and Ribbe, L. (2013). Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam. Sensors, 13, 21-38.