GaiaSky ImgFluo airborne daylight induced chlorophyll fluorescence

NegotiableUpdate on 01/09

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Overview

GaiaSky ImgFluo airborne daylight induced chlorophyll fluorescence: 1. Excellent optical performance, meeting the requirements for detecting weak fluorescence signals; 2. Adopting the self-developed technology of Shuangli - hover built-in push scan; 3. No need to configure an inertial navigation system, allowing for large-scale image stitching; 4. Deep PSDK development, integrated operation software interface; 5. The integrated design of unmanned aerial vehicles, gimbals, and hyperspectral imagers has been achieved

Product Details

GaiaSky ImgFluo airborne daylight induced chlorophyll fluorescence

Introduction to Chlorophyll Fluorescence Imaging Spectrometer System

Sun/Solar induced Chlorophyll Fluorescence (SIF) is a spectral signal (650-800nm) emitted by the photosynthetic center of plants under sunlight conditions. It has two peaks, red light (around 690nm) and near-infrared light (around 740nm), and can directly reflect the dynamic changes of actual photosynthesis in plants. SIF remote sensing is a rapidly developing vegetation remote sensing technology in recent years, which can make up for the shortcomings of current vegetation remote sensing observations and provide new ideas and technologies for carbon cycling and vegetation monitoring of terrestrial ecosystems.

Vegetation remote sensing, represented by vegetation indices based on "greenness" observations (such as NDVI), has greatly promoted the understanding and recognition of the Earth's biosphere at a macro scale in the past 30 years. However, it can only detect the "potential photosynthesis" of plants through "greenness". Chlorophyll fluorescence has unique technological advantages in the detection of vegetation photosynthetic physiology and is a direct detection method for "actual photosynthesis".

It can be said that vegetation chlorophyll fluorescence remote sensing is the most breakthrough research frontier in the field of vegetation remote sensing in the past 10 years. With the development of research and technology, SIF remote sensing has made significant progress in the past decade.

SIF is a typical representative of measuring chlorophyll fluorescence under light. By measuring the filling of Fraunhofer dark lines in the downward solar spectrum by measuring the upward radiance, the intensity of chlorophyll fluorescence emitted by vegetation can be inverted. The following spectral curve is usually obtained.

GaiaSky-ImgFluo 机载日光诱导叶绿素荧光

Figure 1 Retrieval of chlorophyll fluorescence intensity emitted by vegetation

GaiaSky ImgFluo airborne daylight induced chlorophyll fluorescenceMain functions:

·Shutter Shutter

·Radiance, uniformity, lens, reflectance calibration

·Real time collection of sunlight (cosine corrector)

·Camera Push Scan Imaging

·Auxiliary camera monitoring (real-time observation of the testing area)

·stabilized gimbal

·Automatic waypoint planning and collection

Technical Indicators:

·Imaging spectral range: 670-780nm (650-800nm)

·Imaging sensor: SCMOS

·Spectral resolution: 0.35nm

·Automatic exposure, automatic scanning speed matching

System hardware and software interface:

GaiaSky-ImgFluo 机载日光诱导叶绿素荧光

Figure 2 System Hardware and Software Interface

Technical features:

Raw data display:

Reflectivity correction function: Using standard whiteboards, gray cloth, etc. as reference boards, the collected raw DN value data can be calibrated for reflectivity, and batch data processing can also be performed.

GaiaSky-ImgFluo 机载日光诱导叶绿素荧光

Figure 3 SIF hyperspectral image and spectral data

Data inversion application:

Firstly, it is necessary to perform real-time reflectance calibration on the original DN value data. The system software has a folder for storing corresponding white frame and dark background data. After the collection is performed, reflectance calibration is carried out; Secondly, by combining the selected mathematical model, the inversion results of the corresponding model indicators can be output.

GaiaSky-ImgFluo 机载日光诱导叶绿素荧光

Figure 4: Inversion Results