首页|Google Earth Engine在农业管理中的研究现状与展望

Google Earth Engine在农业管理中的研究现状与展望

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农业作为中国国民经济的战略性产业,在粮食生产和可持续发展目标方面起着举足轻重的作用.为了满足农业管理中大空间尺度、长时间序列遥感数据的存储、组织和处理,节省用户计算资源,提高农业生产管理专题的时效性和普适性,地理空间数据处理云平台备受关注.谷歌地球引擎(Google Earth Engine,GEE)作为一款集数据获取、数据运算、模型建立、精度验证以及可视化分析于一体的地理空间分析开源智能云平台,极大地扩展了农业领域研究的广度和深度,为精准农业领域的发展带来了新的机遇.本文从GEE平台、农业应用数据、作物种植支撑管理和农田管理工具等角度出发,分析了基于GEE平台的农业管理研究最新研究进展,以"平台-数据-农业管理-工具"为大框架,强调了多源协同的有效数据信息支撑农业监测管理决策的制定,高效易扩展的农田种植管理和作物生长监测工具可以辅助提高农业生产效率,农情数据信息和农业管理工具在全球背景下共同促进农业可持续发展.文章对GEE在农业应用数据支撑、农业监测管理和农田管理工具等方面的研究现状进行分析总结,突出了GEE云平台相比于传统的桌面端地理空间数据处理平台分别在数据、工具和应用3个方面给农业管理带来的创新性变革,凸显了GEE在破碎化农田区域和病虫害监测领域等方面的发展潜力,讨论了GEE在全球背景下辅助农业可持续发展方面的研究趋势.随着GEE在数据质量、数据处理功能和农情参数信息利用等方面的有效改进,展望了其在精准农业管理、农情监测和预测、移动端智能农业决策支持系统开发以及生态系统管理等农业管理领域的应用前景.以期为平台使用者提供参考并为我国农业领域的云计算平台的建设和应用提供借鉴.
Status and Prospects of Google Earth Engine in Agricultural Management Research
Agricultural cultivation,as a strategic industry in China's national economy,plays a pivotal role in grain production and sustainable development goals.It serves as the"cornerstone"of the entire economic system.Agricultural management can greatly benefit from modern technologies such as remote sensing,allowing collection of growing status information of large-area crops from high-frequency sensors.To store,organize,and process large area and long time series remote sensing data in agricultural management,as well as to save user's computing resources and enhance the timeliness and universality,remote sensing cloud platforms play a crucial role.Google Earth Engine(GEE),as an open-source intelligent cloud platform integrating data acquisition,computation,model establishment,precision verification,and visual analysis in geographic spatial analysis,has advantages including long-term data archiving,stable operation,low-cost computation,and convenient online programming.It significantly expands the research in the agricultural field,bringing new opportunities to the development of precision agriculture.From the perspective of GEE platform,agricultural application data,crop planting support management,and farmland management tools,this article analyzes the latest research progress of agricultural application on GEE platform.The article takes"platform-data-agricultural management-tool"as the structural frame,and the platform function echoes the agricultural management field in terms of content.It emphasizes that multi-source synergistic effective data can support the decision-making of agricultural monitoring and management,efficient and easily scalable farmland planting management and crop growth monitoring tools can help improve agricultural production efficiency,and agricultural data information and agricultural management tools can jointly promote sustainable agricultural development in the global context.This article analyzes and summarizes the current research status of GEE in agricultural application data support,agricultural monitoring management,and farmland management tools,and highlights the innovative changes that the GEE cloud platform brings to agricultural management by comparisons with geospatial data processing using traditional desktop platforms.The potential of GEE in the field of fragmented farmland and pest monitoring is highlighted,and the research direction of GEE in supporting sustainable agricultural development in the global context was discussed.With the effective improvement of GEE in data quality,data processing function,and agricultural parameter information utilization,the application prospects of GEE in agricultural management fields such as precision agriculture management,agricultural condition monitoring and forecasting,mobile intelligent agricultural decision support system development,and ecosystem management are forecasted.The objective of the article is to provide a reference for platform users and offer insights for the construction and application of cloud computing platforms in China's agricultural sectors.

Google Earth Engineagriculture managementsatellite remote sensingfield management toolsresearch statusresearch prospects

蒙继华、何荣鹏、林圳鑫

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中国科学院空天信息创新研究院数字地球重点实验室,北京 100094

可持续发展大数据国际研究中心,北京 100094

中国科学院大学电子电气与通信工程学院,北京 100094

谷歌地球引擎 农业管理 卫星遥感 农田管理工具 研究现状 展望

国家重点研发计划山东省重点研发计划联合项目国家重点研发计划项目国家自然科学基金面上项目

2021YFB39013002022YFD200110241871261

2024

地球信息科学学报
中国科学院地理科学与资源研究所

地球信息科学学报

CSTPCD北大核心
影响因子:1.004
ISSN:1560-8999
年,卷(期):2024.26(4)
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