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].

据悉，中国林科院推荐的数据集是自然资源部系统中入选两项中的一项，也是林草行业唯一入选的 数据集。此次入选，为林业信息化与智慧防火及我国自然资源管理、生态感知体系建设提供了示范样 本。 在近日举行的2025中国国际大数据产业博览会（数博会）上，国家数据局正式发布首批104个高质 量数据集典型案例名单。中国林业科学研究院资源所"无人机森林防火智能巡护监测系统高质量数据 集"入选。 据介绍，"无人机森林防火智能巡护监测系统高质量数据集"面向国家高效高频森林火灾精准监测与 应急管理重大需求，针对当前森林防火中存在的人工劳动强度大、响应不及时、漏报率高等突出问题， 构建了林火视频图像数据集与森林资源评估遥感数据集，开发了一套以无人机林火视频监控和地面调查 数据相结合的"无人机森林防火智能巡护监测系统"，形成了覆盖灾前、灾中、灾后全阶段的森林火灾实 时监测预报体系。该系统在2022年北京冬奥会核心赛区成功应用，其间共预警早期火情13次，实现"零 失误"。 ...