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Research background and significancePrecision agriculture basic research: By capturing the subtle differences in crop spectra, we deeply explore the relationship between crop physiological and biochemical processes (such as chlorophyll synthesis and water transport) and spectral characteristics, and provide data support for establishing more accurate crop growth models. Efficient use of agricultural resources: Quantify the demand and utilization efficiency of crops for water, fertilizer, and light energy, help formulate resource (such as water resources, fertilizer) optimization allocation plans, and promote sustainable agricultural development.Equipment application introduction1. Crop physiology and growth status monitoringNutrient (nitrogen, phosphorus, potassium) content estimation: Usi...
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Research background and significanceAirborne hyperspectral has unique value in the research and application of vegetation remote sensing due to its high spectral resolution and aviation platform advantages. It captures subtle features of vegetation spectra (such as red edge position and chlorophyll absorption peak) through hyperspectral data, reveals the spectral response mechanism of physiological processes such as vegetation photosynthesis and nutrient cycling, and provides a theoretical basis for the construction of ecological models. Monitor the spectral response of vegetation to climate change (such as drought, increased CO₂ concentration), environmental pollution and other stresses, quantify vegetation adaptation and feedback mechanisms, and serve the study of global ecological chang...
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Research background and significanceHyperspectral refers to a technology that uses high-resolution optical instruments to collect reflectance or fluorescence spectral data of objects. This technology can evaluate and identify material composition, morphology, structure, natural or artificial causes, etc. by collecting spectral information of objects. At present, hyperspectral method is widely used in agriculture, forestry, geology, environmental monitoring, medicine and other fields.Introduction to equipment application1. Ecological environment monitoring: The commissioning of hyperspectral observation satellites is of great significance to the promotion of the construction of a modern ecological environment monitoring system. It can dynamically monitor the state of atmospheric pollution, ...
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Research background and significanceUsing drones equipped with hyperspectral imagers to collect cotton data, and using ground spectrometers to collect ground data simultaneously. After data preprocessing, airborne cotton orthophotos were obtained, and the accuracy and reliability of the data were verified by typical spectral characteristic values and first-order differentials, which provided a reference for cotton growth status monitoring. It not only improved the efficiency of cotton planting management, but also provided a scientific basis for cotton pest control, yield and quality evaluation, and promoted the modernization and intelligent development of cotton production.Equipment application introduction1. Cotton growth status monitoring: Remote sensing monitoring of cotton by drones e...
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Research background and significanceHyperspectral remote sensing technology makes it possible to obtain plant chemical information. It can carefully analyze various biochemical information of grass leaves and the changing trends of grass in time and space, and then determine the production capacity, production rate, decomposition rate of plants after withering, and various nutrients of grasslands. These monitoring results can be used to comprehensively evaluate the growth of grassland grass, provide a scientific basis for reasonable fertilization and optimization of grassland management measures, and promote the healthy growth and sustainable development of grasslands.Introduction to equipment application1. Grassland biomass estimation: Accurately estimate the available amount: measure com...
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User: Huawei Technology Co., Ltd. Wuhan Research InstituteProduct: Pika XC2
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User: Anhui & Huaihe River Institute of Hydraulic ResearchProduct: Pika XC2
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User: Shenyang Institute of Atmospheric Environment, China Meteorological AdministrationProduct: Pika XC2