Normalized Difference Vegetation Index (NDVI) Meter

Normalized Difference Vegetation Index (NDVI) Meter

Applications:

This instrument is primarily used for field data sampling surveys in grasslands, farmland, wetlands, and woodlands. It is convenient, quick, and accurately acquires high-resolution RGB images, as well as red and near-infrared spectral image data. It automatically calculates vegetation indices such as FVC, NDVI, and LAI (canopy area).

★Technical Parameters:

1. RGB Sensor: CMOS type, standard RGB true-color image output, 5 megapixels, 80° field of view.

2. Canopy Sensor: CMOS type, standard RGB true-color image output, 5 megapixels, 180° field of view.

3. Infrared Sensor: 8 megapixels, 80° field of view, sensing band: red 650nm, near-infrared 850nm (10nm half-width at half-maximum).

4. Angle Sensor: Roll angle: 0~360°, pitch angle: 0~90°; supports overlaying sensor angle information onto the top of the image.

5. Image Adjustment: Supports adjustments to exposure, saturation, white balance, hue, contrast, brightness, and gain; supports custom image cropping. One-click reset is available.

6. Supports viewing specific values in spectral image data by selecting a location or area, providing a clear visual representation of the target point/region's data characteristics.

7. Screen Display: 8-inch 700nit outdoor high-brightness touchscreen display.

8. Power Supply: 5550mAh rechargeable lithium battery, providing approximately 7 hours of continuous operation.

9. Device Configuration: 16GB RAM, 256GB storage; supports GPS and BeiDou positioning; supports 4G network, Bluetooth, and Wi-Fi.

10. Software System: Android 12 system.

11. Overall Specifications: Weight 3KG, Overall Length approximately 140cm

12. Operating Environment: Operating Temperature: -20℃～60℃; Operating Humidity: 0%～95% RH (non-condensing)

★System Functions:

NDVI:

1. Detection Items: Normalized Difference Vegetation Index (NDVI), Coverage (FVC), Ratio Vegetation Index (RVI), Differential Vegetation Index (DVI), Soil-Adjusted Vegetation Index (SAVI), Red-edged Chlorophyll Vegetation Index (RECI), Improved Soil-Adjusted Vegetation Index (MSAVI), Optimized Soil-Adjusted Vegetation Index (OSAVI), Greenness Color Index (GCC), Relative Redness Index (RCC), Relative Blueness Index (BCC)

2. FVC Algorithm: Supports four vegetation cover algorithms, capable of generating black-and-white dual-color images and color contrast images.

3. Real-time feedback of image sensor pitch, roll, and azimuth angles, and current latitude and longitude.

4. Supports adjustments to image exposure, saturation, white balance, contrast, brightness, gain, etc., and supports custom image cropping.

Canopy:

1. Supports two image capture methods: from below the canopy upwards and from above the canopy downwards.

2. Can measure canopy leaf area index (LAI), mean leaf tilt angle (MTA), aggregation index 1 (ACF), aggregation index 2 (ACF), canopy openness (DIFN), vegetation canopy closure, sky diffuse light transmittance, direct radiation transmittance of plant canopy at different solar altitude angles (gap ratio + transmittance), canopy extinction coefficient at different solar altitude angles, and azimuthal distribution of leaf area density (opaqueness).

3. Measurement range: The zenith angle can be divided into ten regions from 0° to 90° (180° fisheye lens), and the azimuth angle of 360° can also be divided into ten regions.

4. The image analysis software allows arbitrary definition of image analysis regions (zenith angle can be divided into 10 regions, azimuth angle can be divided into 10 regions).

5. Can filter out unreasonable canopy sections: When performing regional analysis of canopies in different directions, unreasonable canopy sections (such as missing trees, edge problems, etc.) can be arbitrarily filtered out.

6. Automated threshold adjustment avoids increased errors caused by subjective threshold settings.

7. Real-time display of GPS satellite positioning latitude and longitude, clearly indicating the current detection location.

Other functions:

1. Includes shoulder strap and elbow rest, ergonomically designed for convenient and effortless use.

2. Data export: Supports exporting calculation results to Excel, original images, result images, and pseudo-color images to a USB drive.

3. Administrator password: An administrator password can be set to prevent accidental operation and protect data security.

4. Custom statistics: Allows for the selection of specific data for a particular index for statistical analysis, with freely selectable start and end dates. Supports bar charts or line charts for intuitive viewing of data trends.

5. Local Storage: Offers 240GB of large-capacity storage, capable of storing over 720 days of historical data and images, and supports exporting via USB flash drive.

6. Cloud Platform: Supports data uploading to the cloud-based agricultural data center via 4G wireless transmission. Users can access real-time data through a dedicated account and download it in spreadsheet format.

7. Built-in bilingual (Chinese and English) display with one-click switching.