Vegetation 'greenness' characterized by spectral vegetation indices (VIs) is an integrative
measure of vegetation leaf abundance, biochemical properties and pigment composition …

Accurately estimating gross primary productivity (GPP), the largest carbon flux in terrestrial
ecosystems, is crucial for advancing our understanding of global carbon cycle and …

Landscape patterns are important drivers of biodiversity. Owing to differences in vegetation
types, sampling methods, diversity measures, spatial scales, and landscape levels, the …

Accurate and timely retrieval of leaf chlorophyll content (LCC) at fine spatial scales is crucial
for monitoring plants' photosynthetic capacity and nutritional status. The wide field-of-view …

Anthocyanins are severity indicators for apple mosaic disease and can be used to monitor
tree health. However, most of the current studies have focused on healthy leaves, and few …

Accurate estimation of the leaf or canopy chlorophyll content is crucial for monitoring crop
growth conditions. Remote sensing monitoring of crop chlorophyll is a non-destructive, large …

Leaf chlorophyll content (LCC) is a prominent plant physiological trait and a proxy for leaf
photosynthetic capacity. The acquisition of LCC data over large spatial and temporal scales …

ABSTRACT Individual inversions of Leaf Area Index (LAI) and Leaf Chlorophyll Content
(LCC) have problems due to the mutual interference between these two vegetation …

It is crucial for early detection of mechanical damage to improve the quality of commodity
fruit. For the problem of low identification accuracy of damage detection models due to the …

The goal of this study was to estimate the areas under willow cultivation by farmers, as well
as their growth and health status. Due to the extremely small patch size of land cover types …