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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Detaylı Bibliyografya
Asıl Yazarlar: Paweł Hawryło, Saverio Francini, Gherardo Chirici, Francesca Giannetti, Karolina Parkitna, Grzegorz Krok, Krzysztof Mitelsztedt, Marek Lisańczuk, Krzysztof Stereńczak, Mariusz Ciesielski, Piotr Wężyk, Jarosław Socha
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2020-10-01
Seri Bilgileri:Remote Sensing
Konular:
airborne laser scanning
deep learning
Landsat
national forest inventory
stand volume
Online Erişim:https://www.mdpi.com/2072-4292/12/20/3331

Internet

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

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