ANALYZING THE SATURATION OF GROWING STEM VOLUME BASED ON ZY-3 STEREO AND MULTISPECTRAL IMAGES IN PLANTED CONIFEROUS FOREST

Analyzing the Saturation of Growing Stem Volume Based on ZY-3 Stereo and Multispectral Images in Planted Coniferous Forest

Recently, remote sensing (RS) technology are becoming an increasingly important technology in estimating forest growing stem volume (GSV), and the saturation issue of spectral variables from various optical sensors severely hinders the improvement of mapping forest GSV, especially in the planted forest with high GSV.Forest canopy height is widely c

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Comparison of Artificial Intelligence and Physical Models for Forecasting Photosynthetically-Active Radiation

Different kinds of radiative transfer models, including a relative sunshine-based model (BBM), a physical-based model for tropical environment (PBM), an efficient physical-based model (EPP), a look-up-table-based model (LUT), and six artificial intelligence models (AI) were introduced for modeling the daily photosynthetically-active radiation (PAR,

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