The Use of Remotely Sensed Data and Polish NFI Plots for Prediction of Growing Stock Volume Using Different Predictive Methods

The Use of Remotely Sensed Data and Polish NFI Plots for Prediction of Growing Stock Volume Using Different Predictive Methods

Forest growing stock volume (GSV) is an important parameter in the context of forest resource management. National Forest Inventories (NFIs) are routinely used to estimate forest parameters, including GSV, for national or international reporting. Remotely sensed data are increasingly used as a sourc...

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מידע ביבליוגרפי
Main Authors: Paweł Hawryło, Saverio Francini, Gherardo Chirici, Francesca Giannetti, Karolina Parkitna, Grzegorz Krok, Krzysztof Mitelsztedt, Marek Lisańczuk, Krzysztof Stereńczak, Mariusz Ciesielski, Piotr Wężyk, Jarosław Socha
פורמט: Article
שפה:English
יצא לאור: MDPI AG 2020-10-01
סדרה:Remote Sensing
נושאים:
airborne laser scanning
deep learning
Landsat
national forest inventory
stand volume
גישה מקוונת:https://www.mdpi.com/2072-4292/12/20/3331

אינטרנט

https://www.mdpi.com/2072-4292/12/20/3331

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