A simpler, unbiased, and comprehensive random forest (RF) model is needed to improve
the accuracy of aboveground biomass (AGB) estimation. In this study, data were obtained …

Estimating the aboveground biomass (AGB) of rice using remotely sensed data is critical for
reflecting growth status, predicting grain yield, and indicating carbon stocks in …

In order to evaluate forest quality and carbon stocks and improve our understanding of
ecosystems and carbon cycling processes, the accurate measurement of aboveground …

Developing models for estimating aboveground biomass (AGB) in naturally growing forests
is critical for climate change modelling. AGB models developed using satellite imagery …

Forest fires are the result of complex interactions among human, geographic and weather
conditions. Climate change would alter the link between forest fire and the controlling …

Accurate growing stock volume (GSV) estimation is essential for forest inventory updating,
terrestrial carbon stocks reporting, and ecosystem services assessment. This study …

Leaf Area Index (LAI) is a fundamental indicator of plant growth status in agronomy and
environmental research. With the rapid development of drone technology, the estimation of …

Animals select habitat at multiple spatial scales, suggesting that biodiversity modeling, for
example of species richness, should be based on environmental data gathered at multiple …

Bamboo forests, due to rapid growth and short harvest rotation, play an important role in
carbon cycling and local economic development. Accurate estimation of bamboo forest …

Over the course of a year, vegetation and temperature have strong phenological and
seasonal patterns, respectively, and many species have adapted to these patterns. High …