Core Viewpoint - Guangdong Province has been recognized for its digital transformation and intelligent upgrades in forestry, with five exemplary cases selected as national models in the field of forestry informationization [2][5]. Group 1: Exemplary Cases - The five exemplary cases include: 1. Guangdong Ecological Public Welfare Forest Monitoring System 2. Guangdong Forestry and Grassland Virtual Simulation and 3D Visualization Platform 3. "Yun'an Easy Harvest" Timber Harvesting Mini Program 4. Guangzhou Smart Greening Platform 5. AI Applications in Forestry and Landscaping [4][5]. Group 2: Guangdong Ecological Public Welfare Forest Monitoring System - This system, led by the Guangdong Forestry Bureau, focuses on "data-driven management and technology-enabled services," integrating core functions such as data management, public welfare forest adjustment, benefit compensation, and patrol management [7][8]. - It standardizes the adjustment process for public welfare forests, promoting a shift towards standardized, refined, and intelligent management, significantly enhancing forest resource protection and fund utilization [9][10]. Group 3: Guangdong Forestry and Grassland Virtual Simulation and 3D Visualization Platform - This platform is the first provincial-level digital twin platform for forestry and grassland resources in China, achieving millimeter-level 3D modeling and comprehensive digital management of forest, grassland, and wetland resources [13][14]. - It features dynamic scheduling, high-precision modeling, and immersive interaction, effectively addressing the limitations of 2D data in reflecting the three-dimensional characteristics of resources [15][16]. Group 4: "Yun'an Easy Harvest" Timber Harvesting Mini Program - Developed by the Yun'an District Forestry Bureau, this mini program addresses the challenges faced by forest farmers in obtaining permits, utilizing AI for automatic generation of harvesting area and real-time data sharing [20][21]. - The program reduces the approval time from 15-30 working days to within 7 working days, alleviating the economic and time burdens on forest farmers while enhancing resource supervision [22][23]. Group 5: Guangzhou Smart Greening Platform - This platform integrates forestry and landscaping services, creating a comprehensive digital management system covering the entire city, with nearly 10 million data entries across 39 key business systems [25][26]. - It utilizes domestic technology for resource visualization and management intelligence, improving service response efficiency by 40% and achieving a visitor satisfaction rate of 96% in managed parks [28][29][30]. Group 6: AI Applications in Forestry and Landscaping - This system, also led by the Guangzhou Forestry and Landscaping Bureau, combines multi-domain industry-specific knowledge bases with advanced technologies to provide intelligent support for policy interpretation, technical consultation, and document processing [33][35]. - It promotes a transition from "experience-driven" to "data-intelligent-driven" approaches, injecting new momentum into the high-quality development of the industry [36][37]. Group 7: Future Plans - Guangdong aims to use these five recognized exemplary cases as benchmarks to enhance its forestry informationization infrastructure, promoting the integration of monitoring and AI technologies [39][40]. - The goal is to transform localized initiatives into widespread applications across the province, providing robust digital support for ecological construction in Guangdong [41][42].

Core Viewpoint - The National Data Bureau of China has officially released the first batch of 104 high-quality data set typical case lists at the 2025 China International Big Data Industry Expo, highlighting the importance of data in forest fire prevention and management [1] Group 1: Data Set Overview - The "Drone Forest Fire Intelligent Patrol Monitoring System High-Quality Data Set" was selected, addressing significant needs for efficient and precise monitoring of forest fires [1] - The data set includes a combination of forest fire video image data and remote sensing data for forest resource assessment, aimed at reducing labor intensity and improving response times [1] Group 2: System Application and Impact - The system has been successfully applied in the core competition area of the 2022 Beijing Winter Olympics, providing early warnings for fire incidents 13 times with zero errors [1] - This selection serves as a demonstration model for the informatization and intelligent fire prevention in forestry, as well as for the construction of natural resource management and ecological perception systems in China [1]