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Case 1: Using Specim Hyperspectral Imaging to Study the Relationship between Biological Crust and Quartz Content Researchers at the Tel Aviv University Remote Sensing Laboratory used Aisaowl long-wave infrared hyperspectral to measure the quartz content of sand dunes covered by BSCs in the Nitzana region near the Israeli-Egyptian border. The relationship between surface quartz content and developmental maturity of BSCs. The experiment performed hyperspectral imaging on BSCs with different developmental levels, as well as bare sand and desert basins, and collected topsoil samples for laboratory measurements for comparison. 
Case 2: Using FluorCam Chlorophyll Fluorescence Imaging and Multispectral BNDVI Images to Study Biological Crust Photosynthesis German researchers used FluorCam chlorophyll fluorescence imaging and multispectral BNDVI images to study the spatial pattern of photosynthesis hotspots in moss and lichens-based biological soil crusts. . Five biological crust samples were selected for the experiment, representing five different proportions of moss, the biological crust type of the lichens. Samples BC-M and BC-SM are dominated by moss, BC-M has a moss coverage of nearly 90%, BC-SM has a surface coverage of 60%; BC-LM and BC-ML contain moss and lichens, surface coverage The rate is close to 95%; the surface of BC-L is completely covered by the lichens.
The table below shows the multispectral BNDVI and chlorophyll fluorescence parameters Fo, Fm, Fv/Fm data for five different biological crusts. 
BC-M and BC-L have similar BNDVI values, but the imaging map of BNDVI and the overlapping area of ​​BNDVI and chlorophyll fluorescence show that the BNDVI of moss is higher than that of lichens. This is related to the layered structure of the lichens. At the same time, the lichens cover reduces the absorption of light by chlorophyll. The BNDVI of the moss-dominated biological crust has high coverage and is higher than the mossy lichens-led biological crust. Even a higher amount of fully developed lichens had no significant BNDVI. Although some lichens exhibit photosynthesis in the high Fm range, the photosynthesis performance of moss can continue to increase.
The photosynthesis hotspots are characterized by high BNDVI and high chlorophyll fluorescence, reflecting high photosynthesis. For all biological crusts, BNDVI and Fv/Fm are almost in a similar range, and the relationship with the spatial pattern distribution is not very large. However, BNDVI imaging showed higher chlorophyll content in moss than in lichen. In addition, matching BNDVI images to CFI indicates higher photosynthesis in moss. Therefore, moss represents a hot spot of photosynthesis throughout the biological crust. However, these photosynthesis hotspots represent only a small fraction of the biological crust compared to areas with low photosynthesis activity.
Beijing Yiketai Ecological Technology Co., Ltd. provides comprehensive technical solutions for spectral imaging:
FluorPen, FluorCam Chlorophyll Fluorescence/Multispectral Fluorescence Technology
SpectraPen/PolyPen, Specim Hyperspectral Measurement Technology
Thermo-RGB infrared thermal imaging technology
PlantScreen Plant High Throughput Phenotypic Imaging Analysis Platform
EcoDrone UAV Remote Sensing Technology Solution
Spectral imaging technology applied to desert and biological soil crust
Biological crusts, also known as biological soil crusts (BSCs), are complexes of cyanobacteria, algae, moss, lichens and fungi, and their mycelium, secretions and soil grit, which are desert ecosystems. An important component that sustains the health and sustainability of the desert biocycle and ecosystem. Spectral imaging technology has the advantages of fast, high efficiency, no damage, high throughput, etc., and is widely used in the research of biological crusts. The left picture shows Aisaowl long-wave infrared hyperspectral, the right picture shows different sampling points in the study area, S stands for bare sand, DF-N stands for northward slope, DF-S stands for southward slope, and DF-P stands for desert basin. Above (A) the apparent spectrum of the dune in the laboratory, (B) the quartz spectrum of the laboratory; the lower left is the diurnal spectrum of the dune, and the lower right is the comparison of the spectral characteristics of the ground and airborne quartz. The hyperspectral Aisaowl LWIR image was able to map the surface quartz content and matched well with laboratory measurements (R 2 = 0.88). The figure above shows the spectrum of four different samples. The highest is the desert basin, followed by the northbound BSC, the southbound BSC, and the lowest bare sand. The characteristics of quartz are related to the surface coverage of BSCs: BSC with good development in the north has higher spectral characteristics, lower quartz content on the surface, less developed BSC in the south, lower coverage of quartz, and higher quartz content on the surface. The spectrum in the quartz region is the lowest, showing the strongest quartz characteristics. The picture shows the matching map of multi-spectral BNDVI and chlorophyll fluorescence imaging CFI of five different biological crusts, (A) RGB image; (B) BNDVI image (blue); (C) Fo and Fm image (red); The overlapping region of BNDVI and chlorophyll fluorescence; (E) the mutual region of BNDVI and chlorophyll fluorescence (green). "Low" indicates a hue value of the labeled region Fo of low chlorophyll fluorescence in the range of 25 to 35 and Fm in the range of 25 to 60. "High" means a hue value of the mark region Fo of the high chlorophyll fluorescence in the range of 35 to 255 and Fm in the range of 60 to 255.