Identifying and characterizing vascular plants in time and space is required in various
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …

Forest aboveground biomass (AGB) is crucial as it serves as a fundamental indicator of the
productivity, biodiversity, and carbon storage of forest ecosystems. This paper presents a …

With the maturation of satellite technology, Hyperspectral Remote Sensing (HRS) platforms
have developed from the initial ground-based and airborne platforms into spaceborne …

Some invasive tree species threaten biodiversity and cause irreversible damage to global
ecosystems. The key to controlling and monitoring the propagation of invasive tree species …

The classification of tree species through remote sensing data is of great significance to
monitoring forest disturbances, biodiversity assessment, and carbon estimation. The dense …

Plastic greenhouses (PGs) are widely built near cities in China to produce vegetables and
fruits. In order to promote sustainable agriculture, rural landscape construction, and better …

The spatial distribution of coastal wetlands affects their ecological functions. Wetland
classification is a challenging task for remote sensing research due to the similarity of …

Accurate and reliable information on tree species composition and distribution is crucial in
operational and sustainable forest management. Developing a high-precision tree species …

Mapping the distribution of bamboo species is vital for the sustainable management of
bamboo and for assessing its ecological and socioeconomic value. However, the spectral …

Tree species classification is crucial for forest resource investigation and management.
Remote sensing images can provide monitoring information on the spatial distribution of tree …