8 results about "Deforestation" patented technology

The present application aims at the problem that the Sentinel-1 backscattering data is significantly short-term time autocorrelated due to the influence of rainfall, soil moisture and surface water content change, and further leads to the high false alarm rate of traditional difference cumulative sum and deforestation detection method, discloses a kind of fast-growing forest deforestation detection method and device considering Sentinel-1 time correlation, and proposes an improved difference cumulative sum detection method by fusing sliding time window and random block resampling significance test, which calculates local difference cumulative sum curve using sliding time window, and extracts candidate change points based on maximum value;To overcome the statistical test bias caused by time correlation, a random block resampling strategy is innovatively introduced to retain the local dependence structure of time series, and an extreme difference null hypothesis distribution is constructed for significance test.The present application effectively improves the precision and robustness of short-period fast-growing forest deforestation event automatic identification in large-scale, long-time series monitoring scenarios.

This application provides a method, apparatus, electronic device, and storage medium for detecting deforestation in forest areas, relating to the field of artificial intelligence technology, to solve the problems of poor real-time performance and high detection costs in forest deforestation detection. The forest deforestation detection method includes: upon detecting the presence of a first feature in a first forest area image, detecting the presence of a second feature in a second forest area image. The first forest area image is acquired by a detection device installed on an outdoor tower. The second forest area image includes all or some features of the first forest area image, and includes the first feature, which is a feature matching the features of deforestation equipment, and the second feature is a feature matching the features of tree felling. If the second forest area image contains the second feature, it is determined that deforestation has occurred in the forest area corresponding to the second forest area image.

This invention discloses a method and system for identifying planted and natural forests based on multi-source remote sensing and spatiotemporal joint optimization, belonging to the fields of remote sensing image processing, earth observation, and dynamic monitoring of forest ecology. Addressing the problems of high label noise and disordered temporal logic in existing technologies, this invention obtains high-purity training samples through multi-stage iterative purification by fusing CCDC mutation history and deep semantic features; obtains pixel-level confidence through independent initial classification by geographic partitioning; constructs an HMM model integrating ecological prior constraints and dynamic adaptive emission probabilities for Viterbi decoding; and performs constrained spatial restoration with cross-dimensional temporal security checks. This invention effectively suppresses temporal pseudo-variables and salt-and-pepper noise, achieving high-resolution thematic mapping year by year with no temporal logical contradictions and regular spatial patches, suitable for fine-grained forest classification and compliance monitoring of zero-deforestation laws in tropical and subtropical regions.

The present invention provides a method for constructing kitchen cabinets using exclusively porcelain stone, eliminating the need for wood or any wooden components. This innovative approach offers significant health, environmental, and structural advantages. The porcelain material is 100% termite-proof, formaldehyde-free, and resistant to bacteria and fungi, ensuring a healthier and safer living environment. Environmentally, it eliminates deforestation and reduces the carbon footprint by avoiding harmful mining practices. Structurally, porcelain provides superior strength, fire resistance, and long-lasting durability, with a lifespan exceeding 25 years. This invention offers a sustainable, hygienic, and durable alternative to traditional kitchen materials, promoting a safer and more reliable solution for modern kitchen designs.

The invention relates to the technical field of photogrammetry, in particular to a communication line engineering investigation design method and system adopting an unmanned aerial vehicle for surveying and mapping. The method comprises the following steps of: 1, acquiring multi-source data driven by communication constraints; 2, reconstructing a three-dimensional geographic scene, separating the ground surface and the vegetation elevation through laser point cloud, and generating a digital elevation model and a vegetation canopy height model; performing semantic classification on the obstacles based on the multispectral image; 3, dynamically optimizing the position of the tower, generating tower candidate points along the path, iteratively checking the sag safety distance by combining a digital elevation model and a lead catenary equation, and adjusting the position and the type of the tower according to the path corner constraint; 4, verifying the electromagnetic compatibility of the obstacle; and step 5, integrated output of engineering parameters. According to the method, the vegetation area needing to be cleared can be accurately recognized, excessive felling is avoided, meanwhile, the electromagnetic compatibility of the obstacle is verified, and the negative influence on the environment is avoided.

A synthetic wood, systems and methods for producing the synthetic wood as an alternative to naturally grown wood, plastic, ceramic, stone, or other materials, including forming and processing bacterial cellulose. The resulting synthetic wood is stable at room temperature and can be made to exhibit mechanical properties, such as hardness, similar to naturally grown wood obtained from high-value trees subject to deforestation.

This invention proposes a remote sensing image change detection method combining a U-shaped network and a self-attention mechanism, mainly addressing the problems of large memory consumption and complex network structure in existing technologies. The implementation steps are as follows: 1) Obtain training and testing sample sets; 2) Construct a U-shaped change detection network model, which includes a cascaded multi-scale feature extraction module, a hierarchical self-attention mechanism, a fusion upsampling module, and a classifier; 3) Input the training sample set into the U-shaped change detection network model and iteratively train it using backpropagation; 4) Input the testing sample set into the trained U-shaped change detection network model to obtain a visualization of the remote sensing image change detection and numerical results. This invention achieves lightweight change detection, obtains multi-scale fine-grained features, reduces network structure complexity, improves detection accuracy, and reduces computational resources. It can be used for geological disaster detection, urban planning, and deforestation detection.

A system consisting of: a trunk-mounted percussion sensor array configured to detect vibration signals indicating tree felling and generate an alert with associated location data; a weathervane environmental sensor array comprising at least one temperature sensor and one humidity sensor configured to detect environmental changes indicative of a forest fire and estimate the direction of the fire based on wind direction; and a communication module configured to transmit alerts from both arrays to a remote monitoring station.