Although our observing capabilities of solar‐induced chlorophyll fluorescence (SIF) have
been growing rapidly, the quality and consistency of SIF datasets are still in an active stage …

Solar-induced chlorophyll fluorescence (SIF) emitted from photosystem I (PSI) and
photosystem II (PSII) is characterized by two peaks centered in the red and far-red spectral …

Using unmanned aerial vehicle (UAV) hyperspectral images to accurately estimate the
chlorophyll content of summer maize is of great significance for crop growth monitoring …

Rice blast (RB, caused by the fungus Magnaporthe oryzae) is the most devastating disease
in global rice production, and can cause significant yield losses and increasingly threaten …

Accurate, spatially extensive, and frequent assessments of plant nitrogen (N) enabled by
remote sensing allow growers to optimize fertilizer applications and reduce environmental …

In recent years, remote sensing images of various types have found widespread
applications in resource exploration, environmental protection, and land cover classification …

There were significant differences in the dominant driving factors of the change process of
different types of wetlands in the Yellow River delta. In addition, to our knowledge, the …

Recently, remote sensing community has seen a surge in the use of multimodal data for
different tasks such as land cover classification, change detection and many more. However …

Accurate estimation of leaf chlorophyll content (LCC) in field for wheat crops is important to
provide guidance for precision management. Solar-induced chlorophyll fluorescence (SIF) …

Observations of sun-induced chlorophyll fluorescence (SIF) by remote sensing have
improved our understanding of the structural and physiological dynamics of vegetation …