How to Use Aerial Remote Sensing to Monitor Pests and Diseases?

May 22, 2023

Airborne lidar aerial photography can be used to analyze the degree of plant diseases and insect pests of crops or forest trees according to the laser reflection intensity of crops or forest trees.

Airborne lidar aerial photography can be used to analyze the degree of plant diseases and insect pests of crops or forest trees according to the laser reflection intensity of crops or forest trees; image aerial photography can also be used to analyze crops or forest trees according to the image spectral characteristics of crops or forest trees degree of pest damage.

After green plants such as crops or forest trees are harmed by diseases and insect pests, their chlorophyll will be damaged to varying degrees, so the spectral reflection in the near-infrared band (equivalent to MSS6, MSS7) will be significantly affected, and it will appear in infrared color or false color images. Therefore, low-altitude infrared remote sensing is usually used to monitor and forecast crop diseases and insect pests.

What is LiDAR point cloud data?

LiDAR (laser detection and ranging) is an optical Remote sensing technology which mainly USES the laser as the emitting light source and adopts the active Remote sensing equipment of photoelectric detection technology. Primarily used in airborne laser mapping applications, it is increasingly becoming a cost-effective alternative to traditional measurement techniques such as photogrammetry.

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LiDAR and Hyperspectral Remote Sensing Data Fusion Realize Complementary Advantages

With the continuous development and progress of earth observation technology, and the continuous diversification of means for obtaining spatial information, the use of a single means of spatial data resources has been difficult to meet people's information needs. Lidar and hyperspectral Remote sensing, as two common Remote sensing methods, have different characteristics: Lidar can quickly, efficiently and accurately obtain three-dimensional spatial data of features, and hyperspectral images can well characterize the spectral information of features , Reflecting the characteristics of its features, materials, texture, etc. The fusion of these two kinds of data can achieve complementary advantages, maximize their respective characteristics, and achieve more accurate intelligent detection and identification of objects and higher-precision classification and extraction, which are widely used in forestry ecology, precision agriculture, environment Monitoring and other fields.

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The Basics of LiDAR

LiDAR is an active Remote sensing system. An active system means that the system itself generates energy - in this case, light - to measure things on the ground. In a LiDAR system, light is emitted from a rapidly firing laser. You can imagine light quickly strobing from a laser light source. This light travels to the ground and reflects off of things like buildings and tree branches. The reflected light energy then returns to the LiDAR sensor where it is recorded.

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What Are the Different Uses of LiDAR Processing?

LiDAR (Light Detection and Ranging) technology and processing is used in a wide range of research and practical applications. With its ability to measure dimensions, distances, textures, and many other aspects of targeted subjects, LiDAR processing has become an increasingly important tool in geology, geography, surveying, agriculture, and forestry. Atmospheric sciences, archaeology, seismology, and geomatics also depend on data gathered using LIDAR processing for research, while physics and astronomy benefit from LiDAR's ability to create highly precise maps.

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