How "Aerial" Satellite Based Remote Sensing Can "Precisely Empower" Agricultural Regulation

Satellite Based Remote Sensing technology has characteristics such as wide coverage and rich spectral information, allowing comprehensive acquisition of crop planting information and revealing water, soil, and climate factors affecting crop growth. This provides data basis and technical support for increasing crop diversity, analyzing agricultural production models, adjusting cultivation methods, and optimizing agricultural irrigation systems.

Satellite Based Remote Sensing for Accurate Crop Portrayal

Crop Distribution and Classification Extraction

In recent years, statistical departments have vigorously promoted the application of Satellite Based Remote Sensing measurement technology in various crop area and classification surveys. Crops have certain spectral differences from other ground objects, which can be used to accurately extract crop distribution; at the same time, different crops have certain differences in spectrum, vegetation indices, textures, etc., combined with crop phenological characteristics and growth cycles, classifications of common grain and economic crops can be realized.

Crops have seasonal rhythms and regular changes in phenology, presenting different colors in Satellite Based Remote Sensing images at different times. By using spectral, texture, and geometric information from remote sensing satellite images, crops such as corn, soybeans, and rice can be finely identified. Meanwhile, verification with auxiliary information such as ground investigation points and cultivated land vector ranges shows that the classification accuracy fully meets the needs of agricultural production.

Crop Growth Monitoring

Crop growth monitoring is a macro-monitoring of crop seedling status, growth conditions, and changes. Satellite Based Remote Sensing can not only regulate the growth process of crops but can also further combine with meteorological and crop growth cycles to predict crop maturity, providing foundational data for crop yield estimation.

Crop Disease and Pest Identification

Crop diseases and pests are a serious biological disaster in agricultural production. Accurate identification and early warning of crop diseases and pests help take preventive and control measures in advance, which is crucial for healthy crop growth and reducing damage losses. Satellite Based Remote Sensing technology can identify and predict diseases and pests by detecting changes in crop spectral reflectance and assess the severity and impact on crops by analyzing parameters such as vegetation indices and deviation from normal vegetation indices.

Satellite Based Remote Sensing Technology for Precision Field Management

Precision agriculture is the core of modern agriculture. It is a modern agricultural development model that integrates information technology and agricultural production by applying real-time monitoring and management of various field information based on precise management of farm input materials.

Precision agriculture achieves precise "policy implementation" in field management by collecting crop growth status and soil characteristics as basic information, combined with medium to long-term meteorological forecasts and market predictions. This means dynamic adjustment of water, fertilizer, and pesticide inputs for different growth stages and plots. This not only reduces chemical pollution of the land, protecting the ecological environment, but also reduces material inputs and increases economic efficiency.

For example, in precise farmland irrigation. Using Satellite Based Remote Sensing multispectral image data, various indices of the crop growth environment can be constructed to analyze soil moisture and salinization levels, assist in formulating irrigation plans, and manage drought, flooding, and salinization of the land.

Satellite Based Remote Sensing technology, with its advantages of wide coverage, fast data acquisition, and low economic costs, is widely applied in large-scale agricultural production surveys, monitoring, evaluation, and management. It effectively solves problems such as high production input, low efficiency, and unstable quality of agricultural products in traditional agricultural production models, empowering agricultural regulation with "precise power" and enhancing agricultural and rural management decision-making efficiency.

Jilin 1 hyperspectral satellite, launched by China, enhances satellite-based remote sensing by capturing detailed spectral data across multiple wavelengths. This capability enables precise monitoring of environmental changes, agriculture, and urban development, facilitating informed decision-making and effective resource management.