Journal: Sensors (Basel, Switzerland)

Article Title: Remote Sensing Applications in Medicinal Plant Monitoring and Quality Assessment: A Review

doi: 10.3390/s26082465

Figure Lengend Snippet: Representative monitoring results and limitations of medicinal plants across remote sensing application scenarios. ( a ) Remote sensing monitoring of spatiotemporal variations in Panax notoginseng planting area in Kaiyuan city using satellite data . ( b ) Rapid and non-destructive retrieval of chlorophyll content in ginseng leaves based on spectral reflectance data . ( c ) Early diagnosis of heat-stressed ginseng plants using fluorescence hyperspectral imaging . ( d ) Precise identification of exogenous impurities in semen ziziphi spinosae using hyperspectral imaging .

Article Snippet: Chlorophyll retrieval , Syringa oblata , Ground-based remote sensing (Specim IQ handheld HSI system) , RF , VR , R cal 2 = 0.9442, R val 2 = 0.9517 , [ ] .

Techniques: Biomarker Discovery, Fluorescence, Imaging

Journal: Sensors (Basel, Switzerland)

Article Title: Background and Recent Advances in the Locata Terrestrial Positioning and Timing Technology

doi: 10.3390/s19081821

Figure Lengend Snippet: Location of LocataLites and experiment trajectory.

Article Snippet: In the Locata concept, these objectives are achieved through a design based on a network (a “LocataNet”) of ground-based transceivers (“LocataLites”) that cover a chosen area with strong signals, which is suitable for accurate positioning in classically difficult GNSS environments ( ).

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Background and Recent Advances in the Locata Terrestrial Positioning and Timing Technology

doi: 10.3390/s19081821

Figure Lengend Snippet: Probability of available measurements for each area for each LocataLites (LL).

Article Snippet: In the Locata concept, these objectives are achieved through a design based on a network (a “LocataNet”) of ground-based transceivers (“LocataLites”) that cover a chosen area with strong signals, which is suitable for accurate positioning in classically difficult GNSS environments ( ).

Techniques: