Remote-sensing based monitoring of planting structure and growth condition of major crops in Northeast China

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Volumn 26, Issue 9, 2010, Pages 218-223

  Huang, Qing ^a,b   Tang, Huajun ^a,b   Zhou, Qingbo ^a   Wu, Wenbin ^a   Wang, Limin ^a   Zhang, Li ^a  

^a INSTITUTE OF PLANT PROTECTION   (China)

^b Hulunber Grassland Ecosystem Observation and Research Station   (China)

Author keywords

Accuracy assessment; Crops; Growth; MODIS data; Monitoring; NDVI; Northeast China; Planting structure; Remote sensing

Indexed keywords

ACCURACY ASSESSMENT; GROWTH; MODIS DATA; NDVI; NORTHEAST CHINA; PLANTING STRUCTURE;

AUTOMATION; CONDITION MONITORING; RADIOMETERS; REMOTE SENSING; TIME SERIES;

CROPS;

EID: 78149367485     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1002-6819.2010.09.037     Document Type: Article

References (23)

1. Liu Haiqi. The introduction of MARS plan of European commission and Chinese agriculture remote sensing application[J]. Chinese Agricultural Resources and Regional Planning, 1999, 20(3): 55-57.(in Chinese with English abstract)
2. Pradhan S. Crop area estimation using GIS, remote sensing and area frame sampling[J]. International Journal of Applied Earth Observation and Geoinformation, 2001, 3(1): 86-92.
3. Liu Haiqi, Jin Minyu, Gong Weipeng. Applications of remote sensing in agriculture in the United States[J]. Chinese Agricultural Resources and Regional Planning, 1999, 20(2): 56-60.(in Chinese with English abstract)
4. NASA TECHNICAL REPORTS. The LACIE crop years-An assessment of the crop conditions experienced in the three years of LACIE[EB/OL]. http://ntrs.nasa.gov/index.jsp
5. FAO. Multiple Frame Agricultural Surveys. Volume II: Agricultural Surveys Programs Based on Area Frame or Dual Frame (Area and List) Sample Designs[M]. Rome, 1998.
6. Treitz P, Rogan J. Remote sensing for mapping and monitoring land-cover and land-use change: An introduction[J]. Progress in Planning, 2004, 61: 269-279.
7. Loveland T R, Reed B C, Brown J F, et al. Development of a global land cover characteristics database and IGBP Discover from 1-km AVHRR Data[J]. International Journal of Remote Sensing, 2000, 21(6/7): 1303-1330.
8. Garedew E, Sandewall M, Söderberg U, et al. Land-Use and Land-Cover Dynamics in the Central Rift Valley of Ethiopia[J]. Environmental Management, 2009, 44(4): 683-694.
9. Fu Yang, Xiao Jianshe, Xiao Ruixiang, et al. Analysis and simulation prediction on LUCC of Xining city based on RS and GIS[J]. Transactions of the CSAE, 2009, 25(7): 211-218.(in Chinese with English abstract)
10. Zou Jinqiu, Chen Youqi, Satoshi Uchida, et al. Method for extracting winter wheat area using Terra MODIS data and its accuracy analysis[J]. Transactions of the CSAE, 2007, 23(11): 195-200.(in Chinese with English abstract)
11. Lao C C, Shiao K H. Combined use of SPOT and GIS data to detect rice paddies[C]. ACRS, 1999: 31-36.
12. Li Cunjun, Wang Jihua, Liu Liangyun, et al. Land cover mapping of winter wheat and clover using muti-temporal Landsat NIR band in a growing season[J]. Transactions of the CSAE, 2005, 21(2): 96-101.(in Chinese with English abstract)
13. Shen Shuanghe, Yang Shenbin, Li Bingbai, et al. A scheme for regional rice yield estimation using ENVISAT ASAR data[J]. Science in China Series D: Earth Sciences, 2009, 52(8): 1183-1194.
14. Omkar S N, Senthilnath J, Mudigere D, et al. Crop classification using biologically-inspired techniques with high resolution satellite image[J]. Journal of the Indian Society of Remote Sensing, 2008, 36(2): 175-182.
15. Yang Xiaohuan, Zhang Xiangping, Jiang Dong. Extraction of multi-crop planting areas from MODIS data[J]. Resources Science, 2004, 26(6): 17-22.(in Chinese with English abstract)
16. Lin Wenpeng, Wang Changyao, Chu Deping, et al. Extraction of fall crop types based on spectral analysis[J]. Transactions of the CSAE, 2006, 22(9): 128-132.(in Chinese with English abstract)
17. Pei Zhiyuan, Yang Bangjie. Analysis of multi temporal and multi spatial character of NDVI and crop condition models development[J]. Transactions of the CSAE, 2000, 16(5): 20-22.(in Chinese with English abstract)
18. Migdall S, Bach H, Bobert J, et al. Inversion of a canopy reflectance model using hyperspectral imagery for monitoring wheat growth and estimating yield[J]. Precision Agriculture, 2009, 10(6): 508-524.
19. Yan Yan, Liu Qinhuo, Liu Qian, et al. Methodology of winter wheat yield prediction based on assimilation of remote sensing data with crop growth model[J]. Journal of Remote Sensing, 2006, 10(5): 804-811.(in Chinese with English abstract)
20. Wu Bingfang, Zhang Feng, Liu Chenglin, et al. An integrated method for crop condition monitoring[J]. Journal of Remote Sensing, 2004, 8(6): 498-514.(in Chinese with English abstract)
21. 2005.
22. Jiang Dong, Wang Naibin, Yang Xiaohuan, et al. Principles of the interaction between NDVI profile and the growing situation of crops[J]. Acta Ecologica Sinica, 2002, 22(2): 247-252.(in Chinese with English abstract)
23. 2008.