Use multi-spectral data to detect the area of weeds, and make timely management decisions. Include forestry and ecology industry in your area, and significantly improve the efficiency of expansion and environmental data acquisition.
Compared with satellites or airplanes, the DJI P4M covers a wide range, and its blue band is between 450±16nm, which has a significant role in water pollution monitoring. It can monitor lakes at a lower cost and higher resolution.
Studies have shown that water bodies have strong reflections in the blue-green band, and impurities such as sediment are sensitive to the blue band. Therefore, using the blue band of the P4M can help assess pollution.
At the same time, water nutrients can increase the chlorophyll content in the water, and there is a correlation between the chlorophyll concentration and the vegetation index. Therefore, the use of multispectral images and advanced products can detect the concentration level of water nutrients, which will help predict the growth of cyanobacteria in the next few days. It can help you to make timely judgments, formulate and implement pollutant interception and treatment plans.
For common water bloom problems such as cyanobacteria, it can also be efficiently identified through the NDVI index. Through the two-dimensional multi-spectral reconstruction, the spatial distribution range and area are further confirmed, and the distribution rules in a specific time are summarized, which provides a timely, effective and objective basis for the ecological analysis of cyanobacteria early warning and management.
Accurate land cover classification and feature identification are essential to natural resource management, investigation, monitoring, and operation. As an important means of low-altitude remote sensing, multi-spectral drones can collect a wealth of information at one time, greatly improving the ability of fine-grained survey and monitoring of natural resources.
Both the visible light and the multi-spectral camera of the Phantom 4 Multi-spectral UAV are 2 million pixels. Real-time images are generated during flight. Users can switch between NDVI images and RGB images in real-time. When the flying altitude is 100 meters, its ground resolution With a rate of 5.3 cm, both RGB images and multi-spectral images have a high spatial resolution, providing high-precision data for the quantitative survey of natural resources.