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Fractional Vegetation Cover Estimation Algorithm for FY-3B Reflectance Data Based on Random Forest Regression Method
fractional vegetation cover FY-3B reflectance data random forest regression method
2023/12/8
As an important land surface vegetation parameter, fractional vegetation cover (FVC) has been widely used in many Earth system ecological and climate models. In particular, high-quality and reliable F...
Site Quality Classification Models of Cunninghamia Lanceolata Plantations Using Rough Set and Random Forest West of Zhejiang Province, China
Cunninghamia lanceolata plantations site quality classification models site quality evaluation rough set random forest
2023/12/1
The site quality evaluation of plantations has consistently been the focus in matching tree species with sites. This paper studied the site quality of Chinese fir (Cunninghamia lanceolata) plantations...
APPLYING RANDOM FOREST CLASSIFICATION TO MAP LAND USE/LAND COVER USING LANDSAT 8 OLI
Classification Landsat 8 OLI Land use Land cover Random Forest Decision Tree
2018/4/18
This study used the Random Forest classifier (RF) running in R environment to map Land use/Land cover (LULC) of Dak Lak province in Vietnam based on the Landsat 8 OLI. The values of two RF parameters ...
Differential success of somatic embryogenesis in random gene pool of Norway spruce
Norway spruce somatic embryogenesis Picea abies
2015/3/6
Somatic embryogenic cultures were established from proembryonal suspensor masses (PEMs) derived from mature seeds of Norway spruce. In this study we used more than 4,300 seeds of Picea abies from rand...
Equilibrium forest age structure: Simulated effects of random wild fires, fire control, and harvesting
age structure British Columbia equilibrium fire control forest fires harvesting sustained yield
2010/8/31
Historically, fire has been one of the main determinants of age structure in the forests of British Columbia, but in the face of recurring fires and other disruptive processes, achieving a stable fore...