Indoor plants were observed over a period of 18 days and stressed due to a lack of sunlight or water. Wild sedge photographed on the forest floor at close range and with a difficult capture setup produced results comparable to published ...
1.3 Spectral Signatures The spatial resolution of satellite remote-sensing systems is too low to identify many objects by their shape or spatial detail. In some cases, it is possible to identify such objects by spectral measurements. There has, therefore, been great interest in measuring the spect...
Article The Effect of Epidermal Structures on Leaf Spectral Signatures of Ice Plants (Aizoaceae) René Hans-Jürgen Heim 1,*, Norbert Jürgens 1, André Große-Stoltenberg 2 and Jens Oldeland 1 Received: 1 October 2015; Accepted: 6 December 2015; Published: 15 December 2015 Academic Editors...
To many, green signifies nature – plants, trees, and forests. It’s the same in remote sensing. The green portion covers the reflectance peak from leaf surfaces (hence the color green that we see). This also means the spectral reflectance is low in the blue and red regions of the spect...
(Fig.4a). Examining the NBR time series, the spectral signatures of grass-dominated and shrub-dominated sites diverged 5 years post-fire and the shrub-dominated sites had higher baseline-adjusted NBR values every year after that (P ≤ 0.001). The spectral signatures of grass-dominated and...
There has, therefore, been great interest in measuring the spectral signatures of surface materials, such as vegetation, soil, and rock, over the spectral range in Fig. 1-6. The spectral signature of a material may be defined in the solar-reflective region by its reflectance as a function ...
This fraction was found to have the characteristic MS/MS signatures of the apratoxins and was selected for further purification using reversed-phase HPLC. A Phenomenex Kinetex C18 5μm 100 Å 100 × 4.6 mm column with a 3 mL/min was used to obtain 1.2 mg of semipure ...
The PCA-despiking algorithm performs PCA to extract the main features (i.e. scores) of the baseline corrected spectra (BCS). For each BCS in the spectral data, the algorithm searches the most similar spectrum (MSS) from all the feature signatures (using the Euclidean distance) and excludes ...
spectral signatures give some insights into different surface processes, e.g., vegetation states9, urban expansion5,10, fires, and burned areas11,12. However, often one has to combine specific spectral regions of interest (i.e., spectral bands) in order to reduce unwanted (i.e., confounding...
Spectral signature transform based approach: In this approach we consider the methods that apply some mathematical transformation on the original target spectral signature to develop an elaborated set of target signatures [83], [120], [84], [85]. • Spectral signature variant based approach: In...