|
|
|
|
|
| Exploring the Feasibility of Winter Wheat Freeze Injury by Integrating Grey System Model with RS and GIS |
| WANG Hui-fang, GUO wei, WANG Ji-hua, HUANG Wen-jiang, GU Xiao-he, DONG Ying-ying, XU Xin-gang |
1.Beijing Research Centre for Information Technology in Agriculture, Beijing 100097, P.R.China
2.Institute of Agriculture Remote Sensing and Information System Application, Zhejiang University, Hangzhou 310058, P.R.China |
|
|
|
摘要 Winter wheat freeze injury is one of the main agro-meteorological disasters affecting wheat production. In order to evaluate the severity of freeze injury on winter wheat systematically, we proposed a grey-system model (GSM) to monitor the degree and the distribution of the winter wheat freeze injury. The model combines remote sensing (RS) and geographic information system (GIS) technology. It gave examples of wheat freeze injury monitoring applications in Gaocheng and Jinzhou of Hebei Province, China. We carried out a quantitative evaluation method study on the severity of winter wheat freeze injury. First, a grey relational analysis (GRA) was conducted. At the same time, the weights of the stressful factors were determined. Then a wheat freezing injury stress multiple factor spatial matrix was constructed using spatial interpolation technology. Finally, a winter wheat freeze damage evaluation model was established through grey clustering algorithm (GCA), and classifying the study area into three sub-areas, affected by severe, medium or light disasters. The evaluation model were verified by the Kappa model, the overall accuracy reached 78.82% and the Kappa coefficient was 0.6754. Therefore, through integration of GSM with RS images as well as GIS analysis, quantitative evaluation and study of winter wheat freeze disasters can be conducted objectively and accurately, making the evaluation model more scientific.
Abstract Winter wheat freeze injury is one of the main agro-meteorological disasters affecting wheat production. In order to evaluate the severity of freeze injury on winter wheat systematically, we proposed a grey-system model (GSM) to monitor the degree and the distribution of the winter wheat freeze injury. The model combines remote sensing (RS) and geographic information system (GIS) technology. It gave examples of wheat freeze injury monitoring applications in Gaocheng and Jinzhou of Hebei Province, China. We carried out a quantitative evaluation method study on the severity of winter wheat freeze injury. First, a grey relational analysis (GRA) was conducted. At the same time, the weights of the stressful factors were determined. Then a wheat freezing injury stress multiple factor spatial matrix was constructed using spatial interpolation technology. Finally, a winter wheat freeze damage evaluation model was established through grey clustering algorithm (GCA), and classifying the study area into three sub-areas, affected by severe, medium or light disasters. The evaluation model were verified by the Kappa model, the overall accuracy reached 78.82% and the Kappa coefficient was 0.6754. Therefore, through integration of GSM with RS images as well as GIS analysis, quantitative evaluation and study of winter wheat freeze disasters can be conducted objectively and accurately, making the evaluation model more scientific.
|
|
Received: 10 July 2012
Accepted:
|
| Fund: This work was supported by the National Natural Science Foundation of China (41101395, 41101397 and 41001199), the Beijing New Star Project on Science & Technology, China (2010B024) and the Key Technologies R&D Program of China during the 12th Five-Year Plan period (2012BAH29B04). |
|
Corresponding Authors:
Correspondence WANG Ji-hua, Tel: +86-10-51503488, Fax: +86-10-51503750, E-mail: wangjh@nercita.org.cn
|
Cite this article:
WANG Hui-fang, GUO wei, WANG Ji-hua, HUANG Wen-jiang, GU Xiao-he, DONG Ying-ying, XU Xin-gang.
2013.
Exploring the Feasibility of Winter Wheat Freeze Injury by Integrating Grey System Model with RS and GIS. Journal of Integrative Agriculture, 12(7): 1162-1172.
|
| [1]Chen Y N, Yang S Q. 1999. Application of gray clusteringanalysis in the classification of flood disaster grade.Arid Land Geograph, 22, 38-41[2]Deng J L. 2010. Introduction to Grey Mathematical ResourceScience. 2nd ed. Huazhong University of Science andTechnology Press, China. pp. 5-28 (in Chinese)[3]Duan S B, Yan G J, Qian Y G, Li S L, Jiang X G, Li X W. 2008.Utilizing HJ-1 B simulation data inversion land surfacetemperature of two kinds of single channel algorithm Progress in Natural Science, 18, 1001-1008[4]Duan Z H, Dong F H, Zhang L X, Qiao H B, Wang J C. 2010.Survey report of wheat varieties correlation with freezedamage in Shanxi Province. Agriculture Technology &Equipment, 198, 21-23[5]Feng M C, Yang W D, Cao L L, Ding G W. 2009. Monitoringwinter wheat freeze injury using multi-temporal MODISdata. Agricultural Sciences in China, 8, 1053-1062[6]Fu L. 1992. Grey System Theory and Its Applications.Science and Technology Literature Publishing House,Beijing. pp. 120-142[7](in Chinese)Ghulam A W. 2006. Remote Monitoring of FarmlandDrought Based on N-dimensional Spectral FeatureSpace. Peking University, Beijing. pp. 110-111[8](inChinese)Guo Q L, Zhang X F, Yu W D, Sun L. 2008. Monitoringwinter wheat frost by remote sensing and assessmentsystem under ArcGIS. Technology Information(Academic Research), 23, 9-12[9]Ip W C, Hu B Q, Wong H, Xia J. 2009. Applications of greyrelational method to river environment quality evaluation in China. Journal of Hydrology, 379, 284-290[10]Jiménez-Muñoz J C, Sobrino J A. 2003. A generalized singlechannel method for retrieving land surface temperaturefrom remote sensing data. Journal of GeophysicalResearch, 108, 4688.[11]Kerdiles H, Grondona M, Rodriguez R, Seguin B. 1996.Frost mapping using NOAA AVHRR data in the Pampeanregion, Argentina. Agricultural and Forest Meteorology,79, 157-182[12]Lin S J, Lu I J, Charles L. 2007. Grey relation performancecorrelations among economics, energy use and carbondioxide emission in Taiwan. Energy Policy, 35, 1948-1955[13]Lin X M, Yue Y J, Sun Y. 2009. Frost hazard risk assessmentof winter wheat: based on the meteorological indicatorat different growing stages. Journal of Catastrophology,24, 45-50[14]Liu S F, Dang Y G, Fang Z G. 2004. The Grey System Theoryand Application. 3rd ed. Science Press, Beijing. (in Chinese)[15]Luo J H, Zhang J C, Huang W J, Yang G J, Gu X H, Yang H.2011. The analysis of consistency between HJ-1B andLandsat 5 TM for retrieving LST based on the singlechannel algorithm Spectroscopy and SpectralAnalysis, 30, 3285-3289[16]Qin Z H, Li W J, Xu B, Chen Z X, Liu J. 2004. The estimationof land surface emissivity for Landsat TM 6. RemoteSensing for Land & Resources, 61, 28-32[17]Qin Z H, Zhang M H, Karnieli A, Berliner P. 2001. Monowindowalgorithm for retrieving land surfacetemperature for Landsat TM 6 data. Acta GeographicaSinica, 56, 456-466[18]Tang J, Lu C, Li S Y, Wang C Y, Zhang J C, Li H Y. 2008.Evaluation of eco-environment quality based oncoupling of grey clustering and 3S method - A casestudy on Da’an, Jilin province. Journal of JilinUniversity (Earth Science Edition), 38, 1038-1043 (in Chinese)[19]Wang J L. 2003. The agrometeorological crop yield forecastcharacter and thinking. Meteorological Science andTechnolog, 31, 257-261[20]Yang B J, Wang M X, Pei Z Y. 2002. Monitoring freezeinjury to winter wheat using remote sensing.Transactions of the CSAE, 18, 136-140 (in Chinese)[21]Yang J H, Ju W, Yang X J. 2011. The anti-freeze mechanismand countermeasure of winter wheat freeze injury andthe reson. Journal of Hebei Agriculture Science, 15,33-36 (in Chinese)[22]Yu Y X, Yang Y, Ye W J. 2009. Application of clusteraggregation analysis to the synthetic regionalizationof the geological disaster. Coal Geology &Exploration, 37, 45-49[23]Zhang X F, Chen H L, Zheng Y F, Zou C H, Chen D, Fu X J.2006. Monitoring the freezing injury of winter wheat byremote sensing. Journal of Nanjing Institute ofMeteorology, 29, 94-100[24]Zhang X F, Zheng Y F, Wang C Y Chen H L, Ren Z H, ZouC H. 2011. Spatial distribution and temporal variation ofthe winter wheat late frost. Acta Meteorologica Sinica,25, 249-259[25]Zhang X Y, Chen Y Y, Su Z S, Zhou H Q, Ma Y P. 2001. Astudy on monitoring frost of main in the area of Ningxiaby using remote sensing. Remote Sensing Technologyand Application, 16, 33-36[26]Zheng D W. 1994. Why was winter wheat freeze injuryhappened? Crops, 5, 8-10. |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
