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Satellite optical remote sensing and manual ground-acquired digital imagery are common practices in vegetation research. Multispectral remote sensing can obtain rich spectral information about features. By mapping multispectral images through the reflectance of crops in the visible and near-infrared bands, one can accurately analyze changes and health conditions of crops.
Users can take quick and effective preventive measures based on corresponding data, ensuring crops stay free from pests and diseases, thereby significantly increasing agricultural yield.
Multispectral remote sensing refers to the method to obtain information about objects from a distance by utilizing their reflection, absorption, and transmission characteristics of different wavelength lights. In the agricultural field, this technology is widely used for crop monitoring and management. Multispectral cameras can capture information from multiple spectral bands, including visible light, near-infrared, etc., thereby more comprehensively reflecting the growth status of crops.
Using multispectral remote sensing technology, the growth status and health condition of crops can be monitored in real-time. Different wavelengths of light have different reflectances on crop leaves; changes in these reflectances can reflect the crop's growth status and health condition. For instance, when crops are attacked by pests and diseases, the spectral reflectance characteristics of their leaves will change, allowing for timely detection and measures.
Multispectral remote sensing can also be used to guide precision fertilization and irrigation. By analyzing the spectral information of crop leaves, the nutritional status and water needs of crops can be understood, thereby formulating more precise fertilization and irrigation plans, improving resource utilization efficiency, and reducing waste.
Multispectral remote sensing technology offers advantages such as non-contact, real-time, and large-scale monitoring, bringing great convenience to modern agricultural management. However, this technology also faces some challenges, such as the complexity of data processing and analysis, and the high cost of equipment.
In the future, with continuous technological advancements and cost reductions, multispectral remote sensing is expected to play a more significant role in the agricultural field.
In conclusion, multispectral remote sensing technology provides powerful data support for agricultural production by capturing information from different spectral bands. It demonstrates great potential in monitoring crop health, guiding precision fertilization and irrigation, and more, injecting new vitality into the sustainable development of modern agriculture.
With the rapid development of multispectral remote sensing technology and image processing technology, the integration of drones with spectral hardware and software is becoming more sophisticated. It has been widely applied in fields such as agriculture, forestry, resources, ecology, and environmental protection.
For example, it can be used for crop growth assessment, pest assessment, maturity assessment, yield assessment, crop variety classification; vegetation coverage calculation, forest resource investigation, deadwood monitoring; water eutrophication monitoring, black and odorous water monitoring, shoreline greening assessment; mine/ecological restoration assessment, etc.
Jilin-1 hyperspectral satellite revolutionizes multispectral remote sensing by providing high-resolution images across numerous spectral bands. This advanced technology enhances applications in agriculture, forestry, and environmental monitoring, offering detailed insights for better resource management and decision-making.