SOC710 Flux Tower Application Case 1 Estimate the Chlorophyll Content of Amazonian Vegetation

As a preliminary study of hyperspectral estimation of canopy biochemical parameters, the team proposed a methodology for studying whether multi-angle medium resolution imaging spectrometer (MODIS) data can be used to produce long-term estimates of chlorophyll content. The consistency of MODIS monthly chlorophyll data from the fully coupled crop canopy reflectance model (ProSAIL) predicted from the hyperspectral image and the measured chlorophyll content based on the vortex flux tower from 2000 to 2015 was investigated. The SOC710 hyperspectral imager installed on the flux tower was used to obtain hyperspectral observation data at a specific angle, which was applied to the ProSAIL model for regional verification. At both sites, the leaf area index combined with chlorophyll changes was significantly correlated with seasonal variations in crop production activities. The study used 15-year time series chlorophyll as raw data to enable future use of hyperspectral imaging techniques to estimate canopy biochemical content in tropical Amazon vegetation.

400-1000nm

1392*1040 area array

Built-in pan sweep

Dual CCD preview

61m flux tower height

45° solar elevation angle

Automatic continuous measurement

Wireless remote control

SOC710 image classification, shadow area extraction and chlorophyll inversion map (Figures A, B and C)

Figure A: SOC710 hyperspectral imagery RGB composite true color;

Figure B: Using the SMACC algorithm to construct a model to extract vegetation shadow scores, the red area represents a shadow area of ​​more than 60%;

Figure C: Retrieving the total content of chlorophyll A and B using the ProSail model.

Correlation analysis of chlorophyll content estimated by MODIS and SOC710:

Figure A: Correlation between the measured specific leaf weight (x) of different tree species and illumination and the chlorophyll content (y) of SOC710 hyperspectral prediction;

Figure B: SOC710 hyperspectral spectrometer predicts chlorophyll content (x) and MODIS predicted chlorophyll content (y) correlation;

Studies have shown that the combination of MODIS data and SOC710 hyperspectral imager can be used to estimate the chlorophyll content of Amazon vegetation. This method also provides a certain reference value for estimating the chlorophyll content of forest area by using different satellite sensors.