大数据时代耕地红线管控监测的机遇与挑战

人多地少的国情决定了我国实行世界上最严格耕地保护制度的必要性.我国耕地保护红线管控状态的有效、及时和准确监测成为实现耕地保护和粮食安全的重要保证,遥感大数据、云计算和人工智能等前沿技术的发展为耕地管控监测提供了新的机遇.文章系统阐述了当前耕地保护红线管控监测方面的研究现状和面临的问题,包括监测对象体系的构建、遥感数据的可用性、监测结果的准确性和时效性等;介绍大数据技术在耕地红线监测中的前沿技术和应用前景,提出耕地红线监测的创新技术方案;讨论了实现这一研究范式变革面临的挑战,并就耕地保护内涵、基本地块单元划定、国土空间规划实施监测网络构建等问题提出了相应建议....

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Published in中国科学院院刊 Vol. 38; no. 12; pp. 1781 - 1792
Main Authors 董金玮, 崔屹峰, 邸媛媛, 高璇, 陈曦, 杨林生, 蔡玉梅, 宁佳, 刘纪远
Format Journal Article
LanguageChinese
Published 中国科学院大学 北京 100049%中国科学院地理科学与资源研究所 北京 100101%自然资源部国土空间规划研究中心 北京 100034 20.12.2023
中国科学院地理科学与资源研究所 北京 100101
Subjects
remote sensing monitoring
big data research paradigm
粮食安全
cultivated land redline
food security
耕地红线
遥感监测
大数据研究范式
Online AccessGet full text
ISSN1000-3045
DOI10.16418/j.issn.1000-3045.20230928001

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Abstract 人多地少的国情决定了我国实行世界上最严格耕地保护制度的必要性.我国耕地保护红线管控状态的有效、及时和准确监测成为实现耕地保护和粮食安全的重要保证,遥感大数据、云计算和人工智能等前沿技术的发展为耕地管控监测提供了新的机遇.文章系统阐述了当前耕地保护红线管控监测方面的研究现状和面临的问题,包括监测对象体系的构建、遥感数据的可用性、监测结果的准确性和时效性等;介绍大数据技术在耕地红线监测中的前沿技术和应用前景,提出耕地红线监测的创新技术方案;讨论了实现这一研究范式变革面临的挑战,并就耕地保护内涵、基本地块单元划定、国土空间规划实施监测网络构建等问题提出了相应建议.
AbstractList 人多地少的国情决定了我国实行世界上最严格耕地保护制度的必要性.我国耕地保护红线管控状态的有效、及时和准确监测成为实现耕地保护和粮食安全的重要保证,遥感大数据、云计算和人工智能等前沿技术的发展为耕地管控监测提供了新的机遇.文章系统阐述了当前耕地保护红线管控监测方面的研究现状和面临的问题,包括监测对象体系的构建、遥感数据的可用性、监测结果的准确性和时效性等;介绍大数据技术在耕地红线监测中的前沿技术和应用前景,提出耕地红线监测的创新技术方案;讨论了实现这一研究范式变革面临的挑战,并就耕地保护内涵、基本地块单元划定、国土空间规划实施监测网络构建等问题提出了相应建议.
Abstract_FL The demographic reality of a large population and limited land resources in China necessitates the implementation of the world's most stringent cultivated land protection system.Effective,timely,and accurate monitoring of the status of cultivated land protection red line is essential to ensuring cultivated land protection and food security.The development of cutting-edge technologies such as remote sensing big data,cloud computing,and artificial intelligence has provided new opportunities for cultivated land control and monitoring.This article systematically elaborates on the current research status and challenges in the field of cultivated land protection redline control and monitoring,including the establishment of the monitoring object system,the availability of remote sensing data,the accuracy,and timeliness of monitoring results,and other related issues.It introduces advanced technologies and prospects for big data technology in cultivated land redline monitoring and proposes innovative technical solutions for cultivated land redline monitoring.The article also discusses the challenges faced in achieving this paradigm shift in research and provides corresponding recommendations on the connotations of cultivated land protection,delineation of basic land units,and the construction of monitoring networks for implementing national land spatial planning.
Author 杨林生
邸媛媛
董金玮
崔屹峰
宁佳
高璇
陈曦
刘纪远
蔡玉梅
AuthorAffiliation 中国科学院地理科学与资源研究所 北京 100101;中国科学院大学 北京 100049%中国科学院地理科学与资源研究所 北京 100101%自然资源部国土空间规划研究中心 北京 100034
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Author_FL DI Yuanyuan
GAO Xuan
YANG Linsheng
NING Jia
LIU Jiyuan
CUI Yifeng
CAI Yumei
DONG Jinwei
CHEN Xi
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Issue 12
Keywords remote sensing monitoring
big data research paradigm
粮食安全
cultivated land redline
food security
耕地红线
遥感监测
大数据研究范式
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