Detection of Non-Stand-Replacing Cuttings Using Satellite Image Time Series with a Kalman Filter
Detection of non-stand-replacing disturbances is becoming highly important for forest monitoring. Methods to detect severe, stand-replacing disturbances are inc
New ๐จPreprint๐จ on change detection in forests with satellite image time series: dx.doi.org/10.2139/ssrn... with @akuseppanen.bsky.social and Petteri Packalen
Thinning detection improved from ~50% to >70% when using an informative prior and modeling abruptness of changes.
27.03.2025 11:22 โ
๐ 4
๐ 0
๐ฌ 0
๐ 1
Maps of total harvest rate, frequency of harvest events and intensity of harvest events, based on field-measured forest inventory data from 11 European countries
If you want to understand what's happening in European forests in terms of harvests, take a look at this! Iโm so glad to finally have out our results quantifying harvest events from forest inventory data across 11 European countries. doi.org/10.1029/2024...
11.02.2025 13:36 โ
๐ 45
๐ 18
๐ฌ 3
๐ 2