3 results about "Observation parameter" patented technology

This invention discloses a crop-adaptive agricultural meteorological observation system, belonging to the field of agricultural meteorological observation technology. It integrates multiple devices to collaboratively measure various meteorological variables to indicate weather conditions, deploys them in a grid-like layout, and collects and transmits data regularly. It collects key growth parameters according to crop growth stages and synchronously correlates them with meteorological data; optimizes data and accurately matches it to construct a fusion dataset; establishes a correlation model to identify key meteorological factors; adjusts observation parameters according to crop needs; sets two-level early warnings and pushes information through multiple channels; retrieves data from multiple dimensions and securely stores it; and provides visual operation and parameter setting functions. This invention improves the accuracy of meteorological data through multi-variable collaborative observation, dynamically adapts to the needs of different crop growth stages and varieties, provides comprehensive regional collaborative observation coverage, timely and targeted early warnings, supports linkage with external devices, promotes the refinement and intelligence of agricultural meteorological observation and planting management, and helps ensure crop growth.

This invention discloses a method for inverting sea surface wind speed from GNSS reflected signals based on mask perception and image-based Mamba-CNN. The method includes: performing spatiotemporal matching and interpolation processing on multi-source spaceborne GNSS-R observation data and ERA5 reanalysis data; gridding the processed observation parameters according to geographical location to obtain a multi-channel grid image and acquiring a binarized occupancy mask; inputting the multi-channel grid image and the binarized occupancy mask into a mask perception Mamba-CNN model; calibrating the grid features through a mask conditional encoder and a feature linear modulation layer, and performing spatial modeling using feature extraction blocks combining convolutional and Mamba state space paths to obtain the wind speed inversion result; aggregating the extracted features using center-perception pooling, and outputting the final sea surface wind speed inversion image through a regression network. This invention can significantly reduce computational complexity, effectively reconstruct the continuous wind field structure, and improve the inversion accuracy and robustness in high-wind-speed areas.

The application discloses an ice buoy heterogeneous measurement data compression and reconstruction method and system, and belongs to the technical field of polar ocean observation data processing. The drift speed and the observation parameter change rate of the ice buoy are extracted at the compression end to construct a polar environment state feature, and a dynamic spatio-temporal observation window is reconstructed according to the feature to perform adaptive spatio-temporal prediction. The feature is used as a feedforward penalty term to adjust a quantization step and Golomb-Rice coding parameters, and high compression ratio packaging and transmission of data under limited bandwidth are realized. After decoding and spatio-temporal registration at the reconstruction end, a trust coefficient based on the environment state feature is introduced for multi-source weighted fusion. A continuous three-dimensional data field is constructed by using a physical guided neural network, error attribution is finally calculated, and reverse control signaling is generated and issued to update the front-end control hyperparameters. The application overcomes the bottleneck of narrowband communication in the polar region, realizes high-fidelity reconstruction and long-term closed-loop self-correction.