|Table of Contents|

Analysis of Beijing Agricultural Bare Land and Policy Suggestion Based on Remote Sensing and Landscape Classification(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2011年第03期
Page:
321-325
Research Field:
地球信息科学
Publishing date:

Info

Title:
Analysis of Beijing Agricultural Bare Land and Policy Suggestion Based on Remote Sensing and Landscape Classification
Author(s):
PAN Ying1; 2; ZHANG Qian2; XIAO He2; YU Zhen-rong2
1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101,China; 2.School of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
Keywords:
agricultural bare land;  landscape classification;  remote sensing;  GIS;  normalized difference vegetation index;  land use type;  Beijing
PACS:
S127;X87
DOI:
-
Abstract:
Agricultural land in Beijing was classified into spring maize, winter wheat, orchard, nursery, grass land, greenhouse and animal husbandry lands by integrating remote sensing data and land use map with decision tree classification method. 10 agricultural zones were generated according to the environmental factors of elevation, slope and soil texture in Beijing, and 39 types of agricultural landscape units were conducted by overlaying the different landscape zones and agricultural land use. The bare land in each agricultural landscape type during the winter and spring was investigated based on the normalized difference vegetation index maps calculated from satellite images, and validated by the field survey. The bare land in different landscape types during the winter and spring was analyzed according to the landscape classification. The results showed the total area of agricultural bare land during the winter of 2007 and the spring of 2008 was 8.05×104 hm2, and the agricultural bare land mainly located at the Yanqing Basin, north bank of Miyun Reservoir and the suburbs; elevation and land use were the most important factors on the vegetation cover of agricultural plots during the winter and spring, and the areas of bare land of spring maize plots in hill and orchard in plain were large, and 40% and 17% of total agricultural bare land in Beijing, respectively; bare level of tame grassland, nursery garden and facility agricultural lands was serious. Based on the agricultural bare land analysis of different landscape unit, green manure plantation, conservation tillage and grass cover were used to improve bare soil, and policy suggestion for building agricultural industry and landscape integration in Beijing were put forward to.

References:

[1] 李令军,高庆生.2000年北京沙尘暴源地解析[J].环境科学研究,2001,14(2):1-3.
[2] 潘 影,肖 禾,宇振荣.北京市农业景观生态与美学质量空间评价[J].应用生态学报,2009,20(10):2455-2460.
[3] 北京市新农村建设领导小组综合办公室.北京都市型现代农业基础建设及综合开发规划(2009-2012年)[EB/OL].(2009-06-30)
[2010-07-01].http://www.bjnw.gov.cn/zfxxgk/fgwj/zcxwj/200907/P020091019135711400718.doc.
[4] Wardlow B D, Egbert S L.Large-area Crop Mapping Using Time-series MODIS 250 m NDVI Data:an Assessment for the U.S. Central Great Plains[J].Remote Sensing of Environment,2008,112(3):1096-1116.
[5] Townshend J,Justice C,Li W,et al.Global Land Cover Classification by Remote Sensing:Present Capabilities and Future Possibilities[J].Remote Sensing of Environment,1991,35(2/3):243-255.
[6] Tucker C J.Red and Photographic Infrared Linear Combinations for Monitoring Vegetation[J].Remote Sensing of Environment,1979,8(2):127-150.
[7] Rogan J,Franklin J,Roberts D A.A Comparison of Methods for Monitoring Multitemporal Vegetation Change Using Thematic Mapper Imagery[J].Remote Sensing of Environment,2002,80(1):143-156.
[8] Weber K T,Alados C L,Bueno C G,et al.Modeling Bare Ground with Classification Trees in Northern Spain[J].Rangeland Ecology and Management,2009,62(5):452-459.
[9] 于海洋,张振德,张佩民,等.西藏土地荒漠化遥感监测[J].地球科学与环境学报,2007,29(3):316-320.
[10] 邢 宇,姜琦刚,王耿明,等.基于RS和GIS的松辽平原黑土流失研究[J].地球科学与环境学报,2010,32(2):189-194.
[11] 陈效逑,谭文垦,刘大平,等.北京平原地区裸露土地的时空分布[J].水土保持研究,2003,10(3):18-20.
[12] 张 超,王纪华,赵春江,等.利用多时相遥感影像监测季节性裸露农田[J].农业工程学报,2005,21(11):98-102.
[13] 叶笃正,丑纪范,刘纪远,等.关于我国华北沙尘天气的成因与治理对策[J].地理学报,2000,55(5):513-521.
[14] 王正兴,刘 闯,HUETE A.植被指数研究进展:从AVHRR-NDVI到MODIS-EVI[J].生态学报,2003,23(5):979-987.
[15] 林文鹏,王长耀,储德平,等.基于光谱特征分析的主要秋季作物类型提取研究[J].农业工程学报,2006,22(9):128-132.
[16] 杨小唤,张香平,江 东.基于MODIS时序NDVI特征值提取多作物播种面积的方法[J].资源科学,2004,26(6):17-22.
[17] 陈 健.基于遥感和作物模型的冬小麦水肥生产力及产量差研究[D].北京:中国农业大学,2007.
[18] 张凤荣.都市型现代农业产业布局[M].北京:中国农业大学出版社,2008.

Memo

Memo:
-
Last Update: 2011-09-20