基于网格的耕地质量分等成果省级汇总方法

耕地质量分等成果由县、省、国家3级成果组成,省级成果由县级成果汇总获取,是农用地分等工作中必不可少的环节。由于传统的汇总方法对汇总底图的过分依赖性,导致汇总效率低下,汇总后的质量完全取决于汇总底图的质量。基于该缺陷,该文提出利用网格取代汇总底图,将县级成果按照"权属-地类-等别"进行分类,根据面积占优原则确定对应网格所属类别,并通过空间最邻近方法寻找距离县级单元最近的网格单元,建立"网格-县级分等单元"的追溯关系。该文提出了以县行政代码、网格所在行列码、等别、地类组成21位省级汇总网格的编码方法。最后利用平均中心和标准差椭圆检验汇总前后耕地空间分布的相似性。以北京市大兴区为研究区进行了实例验证...

Full description

Saved in:
Bibliographic Details
Published in农业工程学报 Vol. 30; no. 24; pp. 280 - 287
Main Author 陈彦清 杨建宇 郧文聚 张超 朱德海 向其权
Format Journal Article
LanguageChinese
Published 中国农业大学信息与电气工程学院,北京 100083 2014
国土资源部农用地质量与监控重点实验室,北京 100035
国土资源部农用地质量与监控重点实验室,北京 100035%国土资源部土地整治中心,北京 100035
Subjects
Online AccessGet full text
ISSN1002-6819
DOI10.3969/j.issn.1002-6819.2014.24.035

Cover

Abstract 耕地质量分等成果由县、省、国家3级成果组成,省级成果由县级成果汇总获取,是农用地分等工作中必不可少的环节。由于传统的汇总方法对汇总底图的过分依赖性,导致汇总效率低下,汇总后的质量完全取决于汇总底图的质量。基于该缺陷,该文提出利用网格取代汇总底图,将县级成果按照"权属-地类-等别"进行分类,根据面积占优原则确定对应网格所属类别,并通过空间最邻近方法寻找距离县级单元最近的网格单元,建立"网格-县级分等单元"的追溯关系。该文提出了以县行政代码、网格所在行列码、等别、地类组成21位省级汇总网格的编码方法。最后利用平均中心和标准差椭圆检验汇总前后耕地空间分布的相似性。以北京市大兴区为研究区进行了实例验证,大兴区根据"地类-自然等-利用等-经济等"组合共分为8类,根据大兴区耕地的分布,最终确定688个有效耕地网格。利用该文方法实现了省级汇总。经过检验表明,汇总前后耕地分布的平均中心和分布方向仅相差405.6 m和0.34°,说明该汇总方法保证了汇总前后耕地空间分布的一致性。与依赖汇总底图的方法相比较,省去了制作底图的工作量,提高了工作效率,并且将省级耕地定位在每个网格中,通过网格编码能够快速查找到对应位置的耕地质量,方便管理和应用。
AbstractList 耕地质量分等成果由县、省、国家3级成果组成,省级成果由县级成果汇总获取,是农用地分等工作中必不可少的环节。由于传统的汇总方法对汇总底图的过分依赖性,导致汇总效率低下,汇总后的质量完全取决于汇总底图的质量。基于该缺陷,该文提出利用网格取代汇总底图,将县级成果按照"权属-地类-等别"进行分类,根据面积占优原则确定对应网格所属类别,并通过空间最邻近方法寻找距离县级单元最近的网格单元,建立"网格-县级分等单元"的追溯关系。该文提出了以县行政代码、网格所在行列码、等别、地类组成21位省级汇总网格的编码方法。最后利用平均中心和标准差椭圆检验汇总前后耕地空间分布的相似性。以北京市大兴区为研究区进行了实例验证,大兴区根据"地类-自然等-利用等-经济等"组合共分为8类,根据大兴区耕地的分布,最终确定688个有效耕地网格。利用该文方法实现了省级汇总。经过检验表明,汇总前后耕地分布的平均中心和分布方向仅相差405.6 m和0.34°,说明该汇总方法保证了汇总前后耕地空间分布的一致性。与依赖汇总底图的方法相比较,省去了制作底图的工作量,提高了工作效率,并且将省级耕地定位在每个网格中,通过网格编码能够快速查找到对应位置的耕地质量,方便管理和应用。
F301.21; 耕地质量分等成果由县、省、国家3级成果组成,省级成果由县级成果汇总获取,是农用地分等工作中必不可少的环节。由于传统的汇总方法对汇总底图的过分依赖性,导致汇总效率低下,汇总后的质量完全取决于汇总底图的质量。基于该缺陷,该文提出利用网格取代汇总底图,将县级成果按照“权属-地类-等别”进行分类,根据面积占优原则确定对应网格所属类别,并通过空间最邻近方法寻找距离县级单元最近的网格单元,建立“网格-县级分等单元”的追溯关系。该文提出了以县行政代码、网格所在行列码、等别、地类组成21位省级汇总网格的编码方法。最后利用平均中心和标准差椭圆检验汇总前后耕地空间分布的相似性。以北京市大兴区为研究区进行了实例验证,大兴区根据“地类-自然等-利用等-经济等”组合共分为8类,根据大兴区耕地的分布,最终确定688个有效耕地网格。利用该文方法实现了省级汇总。经过检验表明,汇总前后耕地分布的平均中心和分布方向仅相差405.6 m和0.34°,说明该汇总方法保证了汇总前后耕地空间分布的一致性。与依赖汇总底图的方法相比较,省去了制作底图的工作量,提高了工作效率,并且将省级耕地定位在每个网格中,通过网格编码能够快速查找到对应位置的耕地质量,方便管理和应用。
Abstract_FL The results of cultivated land quality gradation are made of the results of county, provincial, national levels. The results at the provincial level are integrated by the results at the county level. Provincial integration is an essential link in cultivated land quality grading work. The traditional provincial integration methods excessively depend on the provincial integration base map, which makes the integration efficiency low. Moreover, the quality of integration work completely depends on the quality of integration base map. Based on these defects, this paper comes up with a method that uses the grid instead of the integration base map. In provincial integration work, we need to build traceability relation between county units and provincial units. It requires all county units can find provincial units and all provincial units have their corresponding county units. Moreover, there is a principle we have to abide by: the ownership, the land type and the grade should be coincident between the county units and corresponding provincial units. That is “ownership-land type-grade” coincident principle. The purpose of this method is to make spatial distribution of provincial cultivated land quality is similar to that of the county when abiding by this principle. First we need to classify the county results according to“ownership-land type-grade”. Then we determine the corresponding grid category according to the area dominant principle. Through the spatial nearest neighboring method, we find the grid unit closest to the unit at the county level to build “Grid-County grading unit” relations. But maybe there are some categories which can’t be found in the provincial grids. Based this situation, the barycenter of the missing category was firstly calculated, then an uncultivated area grid closest to the barycenter was searched out, and lastly this grid was marked as the missing category. The grid coding method proposed in this paper stipulates that grid code is formed by county’s administrative code, the grid rank, quality gradation and land class code. The length of the code is 21. At last, this paper uses the mean center and standard deviational ellipse to test the similarity of the spatial distribution of cultivated land before and after integration. This paper takes Daxing district, Bejing as a study area. By“ownership-land type-grade”, there are 8 categories in Daxing. According to the distribution of cultivated land in Daxing district, 688 valid cultivated land grids were finally determined. Using the method in this article, we completed the integration at the provincial level for Daxing. After test, it showed that the difference of mean center between provincial grid results and county results is only 405.6 m, and the difference of distribution direction is only 0.34°, which means that this method can ensure the consistency of spatial distribution of cultivated land at different levels. Compared with the method which depends on the integration base map, the method based on grid doesn’t make base map, reduces workload and improves work efficiency. This method orientates the provincial cultivated land into each grid and codes for these grids. Through grid code, we can quickly search cultivated land quality in the corresponding position, which is very convenient for both management and application.
Author 陈彦清 杨建宇 郧文聚 张超 朱德海 向其权
AuthorAffiliation 中国农业大学信息与电气工程学院,北京100083 国土资源部土地整治中心,北京100035 国土资源部农用地质量与监控重点实验室,北京100035
AuthorAffiliation_xml – name: 中国农业大学信息与电气工程学院,北京 100083; 国土资源部农用地质量与监控重点实验室,北京 100035%国土资源部土地整治中心,北京 100035; 国土资源部农用地质量与监控重点实验室,北京 100035
Author_FL Zhang Chao
Yun Wenju
Chen Yanqing
Yang Jianyu
Zhu Dehai
Xiang Qiquan
Author_FL_xml – sequence: 1
  fullname: Chen Yanqing
– sequence: 2
  fullname: Yang Jianyu
– sequence: 3
  fullname: Yun Wenju
– sequence: 4
  fullname: Zhang Chao
– sequence: 5
  fullname: Zhu Dehai
– sequence: 6
  fullname: Xiang Qiquan
Author_xml – sequence: 1
  fullname: 陈彦清 杨建宇 郧文聚 张超 朱德海 向其权
BookMark eNo9j7tKA0EYhaeIYIx5CRGsdp2df3Zmp5TgDQI26cPM7G7coBPNIpougpik8VLEQoLaaSMo2hj1bcxsfAsjEasDh4_vcOZQzjRMhNCih10QTCzX3SRNjethTBwWeMIl2KMuoS4GP4fy__0sKqZporDvAceYenkkRrfDr-FZ9nlp7z6y65Nxuz8aPI1fH74756PuafbYs90LezPIBsfZ8N4-d2z73V692Zf-PJqJ5U4aFf-ygCprq5XShlPeWt8srZQd7QvuAKgYOFMiJJL5RANXUgRUUik8EAHBkkY6jLVWDIe-BkV4pGIeclAiUCSEAlqaag-liaWpVeuNg6aZDFZNq6aP1O9TQjHwCbkwJfV2w9T2kwm710x2ZbNVZQx8wIxy-AGK02zZ
ClassificationCodes F301.21
ContentType Journal Article
Copyright Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
Copyright_xml – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
DBID 2RA
92L
CQIGP
W95
~WA
2B.
4A8
92I
93N
PSX
TCJ
DOI 10.3969/j.issn.1002-6819.2014.24.035
DatabaseName 维普期刊资源整合服务平台
中文科技期刊数据库-CALIS站点
中文科技期刊数据库-7.0平台
中文科技期刊数据库-农业科学
中文科技期刊数据库- 镜像站点
Wanfang Data Journals - Hong Kong
WANFANG Data Centre
Wanfang Data Journals
万方数据期刊 - 香港版
China Online Journals (COJ)
China Online Journals (COJ)
DatabaseTitleList

DeliveryMethod fulltext_linktorsrc
Discipline Agriculture
DocumentTitleAlternate Cultivated land quality grading results integration method at provincial level based on grid
DocumentTitle_FL Cultivated land quality grading results integration method at provincial level based on grid
EndPage 287
ExternalDocumentID nygcxb201424037
663530647
GrantInformation_xml – fundername: 国土资源部公益性行业科研专项
  funderid: (201011006)
GroupedDBID -04
2B.
2B~
2RA
5XA
5XE
92G
92I
92L
ABDBF
ABJNI
ACGFO
ACGFS
AEGXH
AIAGR
ALMA_UNASSIGNED_HOLDINGS
CCEZO
CHDYS
CQIGP
CW9
EOJEC
FIJ
IPNFZ
OBODZ
RIG
TCJ
TGD
TUS
U1G
U5N
W95
~WA
4A8
93N
ACUHS
PSX
ID FETCH-LOGICAL-c597-33bf376b9d2a652c37ba984a4a9139820a4ecdfccb60d5c3b27ebf7d73b98b2d3
ISSN 1002-6819
IngestDate Thu May 29 04:04:18 EDT 2025
Wed Feb 14 10:36:23 EST 2024
IsPeerReviewed false
IsScholarly true
Issue 24
Keywords 耕地质量
codes
land use
编码
网格
grading
grid
省级汇总
土地利用
cultivated land quality
provincial integration
等别
Language Chinese
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c597-33bf376b9d2a652c37ba984a4a9139820a4ecdfccb60d5c3b27ebf7d73b98b2d3
Notes 11-2047/S
Chen Yanqing, Yang Jianyu, Yun Wenju, Zhang Chao, Zhu Dehai, Xiang Qiquan (1. College of lnformation and Electrical Engineering, China Agriculture University, Beijing 100083, China; 2. China Land Consolidation and Rehabilitation, Beijing 100035, China; Key Laboratory for Agricultural Land Quality, Monitoring and Control of the Ministry of Land and Resources Beoing 100035, China)
The results of cultivated land quality gradation are made of the results of county, provincial, national levels. The results at the provincial level are integrated by the results at the county level. Provincial integration is an essential link in cultivated land quality grading work. The traditional provincial integration methods excessively depend on the provincial integration base map, which makes the integration efficiency low. Moreover, the quality of integration work completely depends on the quality of integration base map. Based on these defects, this paper comes up with a method that uses the grid instead of the integr
PageCount 8
ParticipantIDs wanfang_journals_nygcxb201424037
chongqing_primary_663530647
PublicationCentury 2000
PublicationDate 2014
PublicationDateYYYYMMDD 2014-01-01
PublicationDate_xml – year: 2014
  text: 2014
PublicationDecade 2010
PublicationTitle 农业工程学报
PublicationTitleAlternate Transactions of the Chinese Society of Agricultural Engineering
PublicationTitle_FL Transactions of the Chinese Society of Agricultural Engineering
PublicationYear 2014
Publisher 中国农业大学信息与电气工程学院,北京 100083
国土资源部农用地质量与监控重点实验室,北京 100035
国土资源部农用地质量与监控重点实验室,北京 100035%国土资源部土地整治中心,北京 100035
Publisher_xml – name: 国土资源部农用地质量与监控重点实验室,北京 100035
– name: 中国农业大学信息与电气工程学院,北京 100083
– name: 国土资源部农用地质量与监控重点实验室,北京 100035%国土资源部土地整治中心,北京 100035
SSID ssib051370041
ssib017478172
ssj0041925
ssib001101065
ssib023167668
Score 2.0568378
Snippet 耕地质量分等成果由县、省、国家3级成果组成,省级成果由县级成果汇总获取,是农用地分等工作中必不可少的环节。由于传统的汇总方法对汇总底图的过分依赖性,导致汇总效率低下,...
F301.21; 耕地质量分等成果由县、省、国家3级成果组成,省级成果由县级成果汇总获取,是农用地分等工作中必不可少的环节。由于传统的汇总方法对汇总底图的过分依赖性,导致汇...
SourceID wanfang
chongqing
SourceType Aggregation Database
Publisher
StartPage 280
SubjectTerms 土地利用
省级汇总
等别
编码
网格
耕地质量
Title 基于网格的耕地质量分等成果省级汇总方法
URI http://lib.cqvip.com/qk/90712X/201424/663530647.html
https://d.wanfangdata.com.cn/periodical/nygcxb201424037
Volume 30
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVEBS
  databaseName: EBSCOhost Academic Search Ultimate
  issn: 1002-6819
  databaseCode: ABDBF
  dateStart: 20140101
  customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn
  omitProxy: true
  ssIdentifier: ssj0041925
  providerName: EBSCOhost
– providerCode: PRVALS
  databaseName: IngentaConnect Open Access Journals
  issn: 1002-6819
  databaseCode: FIJ
  dateStart: 20090101
  customDbUrl:
  isFulltext: true
  dateEnd: 20151231
  titleUrlDefault: http://www.ingentaconnect.com/content/title?j_type=online&j_startat=Aa&j_endat=Af&j_pagesize=200&j_page=1
  omitProxy: true
  ssIdentifier: ssj0041925
  providerName: Ingenta
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELb6kBAIIZ6iFFAP9WmVZZM4jn2Md7OqOHAqUm-rOI_taQullaCnIiFaLjwO5YBWwA0uSCC4UODf0Gz5F8w43rSqUAVcomg8nvnscexxbI8JmddauC4XzAHvuHBYwbgjuBYO57lbJBnLdLXb4hZfuM1uLgVLE5OnD-1aWl_TzXTjj-dK_seqQAO74inZf7BsLRQI8A72hSdYGJ5_ZWMaB1R2qYpozPApYhqHVHWodGnMadSiqo0UCUmMxsJsawhMrjZVLaQoRiNBY0lFSEUXkwSwccwVdaiQKAcosoUvMsaMKLANHqjRFdEoxCTlogRkBqXKMAPRZFc-rW64HDvBRgs3ogC2QHhAUaAxMHoBgEIKAIi4kQlagnHTQLBSIijMNGYBMSJoGL0dU6IAYSgjOYoBW8MU0rdwARzCFVgMGTUMexsrDKuE16LaWC5MixEeqkGchh1qRJo0EWCOSnF1W874L0p1btV2-TgmcGE7bjsm2LWiqu177HAPX108ZZ0Fr_IWjo5DvuTSjEOooVlrwJ2ErOmxZqsK0XIk0jc6fzghDCfJtBeC4zRFpiPVUd0D_9bFKXzdAbt4-YF7cPDZw7AG_GD-GLg-3l5Q73nCFf_ALP9bQCfIvEV74zisGHdkeWXQvwvelDncNiiSQf-QH7Z4lpyxE6i5qPoazpGJjeXz5FTUX7VBZPILRO692f25-3T040X59vvo1aP9zZ294cf9L-9_bT3b2348-vCk3H5evh6Ohg9Hu-_KT1vl5rfy5dfy885FstiNF9sLjr0ixElhJuz4vi5ghNQy8xIeeKkf6kQKlrAEo92Cc5uwPM2KNNW8lQWpr70w10WYhb6WQnuZf4lMDVYG-WUyV2CkPzcTCXAxT7uaJ0le5LKV5a4ohD9DZus66N2pIsH0aovNkDlbKz3bP9zrDR700_saqxFjXoZXjhUwS04iZ_Vz7yqZWltdz6-Bu7umr9tG8BuyHX_U
linkProvider EBSCOhost
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8E%E7%BD%91%E6%A0%BC%E7%9A%84%E8%80%95%E5%9C%B0%E8%B4%A8%E9%87%8F%E5%88%86%E7%AD%89%E6%88%90%E6%9E%9C%E7%9C%81%E7%BA%A7%E6%B1%87%E6%80%BB%E6%96%B9%E6%B3%95&rft.jtitle=%E5%86%9C%E4%B8%9A%E5%B7%A5%E7%A8%8B%E5%AD%A6%E6%8A%A5&rft.au=%E9%99%88%E5%BD%A6%E6%B8%85+%E6%9D%A8%E5%BB%BA%E5%AE%87+%E9%83%A7%E6%96%87%E8%81%9A+%E5%BC%A0%E8%B6%85+%E6%9C%B1%E5%BE%B7%E6%B5%B7+%E5%90%91%E5%85%B6%E6%9D%83&rft.date=2014&rft.issn=1002-6819&rft.volume=30&rft.issue=24&rft.spage=280&rft.epage=287&rft_id=info:doi/10.3969%2Fj.issn.1002-6819.2014.24.035&rft.externalDocID=663530647
thumbnail_s http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fimage.cqvip.com%2Fvip1000%2Fqk%2F90712X%2F90712X.jpg
http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fnygcxb%2Fnygcxb.jpg