Multi-Spectral / Hyper-Spectral Imaging

Comprehension of Multispectral and Hyperspectral Imagery: Improving Remote Sensing and Forestry Management

In remote sensing, multispectral and hyperspectral imaging are critical for gathering precise information about the Earth's surface.

Multispectral imaging captures visual data within a few specified wavelength bands of the electromagnetic spectrum.

Typically, multispectral sensors collect data in three to 10 bands, including red, green, blue, and near-infrared.

Hyperspectral photography collects data in hundreds of continuous spectral bands, allowing for precise spectral analysis.

Each pixel in a hyperspectral picture has a whole spectrum, allowing for exact identification of materials based on their spectral characteristics.

Both multispectral and hyperspectral imaging provide major contributions to forest management, conservation, and climate change research.

They help monitor forest health, classify tree species, detect deforestation, assess fire risk, and study carbon sequestration.

Multispectral and hyperspectral imaging are transforming how we monitor and manage forests, helping us maintain ecosystems sustainably.