Forest Survey

How can hyperspectral imaging help forest survey?

Forest coverage

Airborne acquisition of hyperspectral data, using optical masks to estimate forest cover area.

Sick trees with discoloration

Use hyperspectral technology to screen high-risk discoloration trees, detect and intervene early, and reduce their harm to forest ecological security and economic development.

Canopy density survey

Extraction of hyper-spectral images to measure canopy density greatly reduces the workload of forestry personnel and improves accuracy.

Forest density

Calculate the projected area of the tree crown and estimate the forest density in the area.

Advantages of hyperspectral remote sensing

Convenient data collection

Utilize airborne hyperspectral platforms for automatic flight acquisition to form large-scale digital base maps.

High data accuracy

Low-altitude remote sensing is not affected by cloud and mist, with high spatial resolution.

Accurate model

Utilize the rich characteristics of hyperspectral bands to refine modeling and intelligently extract target objects.

Automatic algorithm extraction

Automatically extract forest areas using optical masks for convenient calculation.

Workflow

넳 넲

Fixed-wing scheme

Flying platform

CW-25E

Load

HSG-1

Post-processing software

OptStudio

SchemeAdvantages

Large-area cruise, with a maximum flight time of up to 6 hours. It can collect data from dozens of square kilometers of forest area in a single day.

HSG-1 comes with a dual-frequency high-precision board card, which does not rely on network RTK and can accurately collect hyperspectral data in remote forest areas.

The OptStudio can perform optical masking, band operation, and artificial intelligence tasks to meet the needs of forestry spectral surveys.