Full Text:   <3175>

CLC number: K826.14; TP7

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 0000-00-00

Cited: 4

Clicked: 9476

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
Open peer comments

Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.4 P.633-640

http://doi.org/10.1631/jzus.2006.A0633


Land cover change in Ningbo and its surrounding area of Zhejiang Province, 1987~2000


Author(s):  Lu Shan-long, Shen Xiao-hua, Zou Le-jun

Affiliation(s):  Department of Earth Sciences, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   shanfeng792003@yahoo.com.cn

Key Words:  Land cover change, Maximum likelihood classification, Landsat TM/ETM+, Remote sensing, Ningbo


Lu Shan-long, Shen Xiao-hua, Zou Le-jun. Land cover change in Ningbo and its surrounding area of Zhejiang Province, 1987~2000[J]. Journal of Zhejiang University Science A, 2006, 7(4): 633-640.

@article{title="Land cover change in Ningbo and its surrounding area of Zhejiang Province, 1987~2000",
author="Lu Shan-long, Shen Xiao-hua, Zou Le-jun",
journal="Journal of Zhejiang University Science A",
volume="7",
number="4",
pages="633-640",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0633"
}

%0 Journal Article
%T Land cover change in Ningbo and its surrounding area of Zhejiang Province, 1987~2000
%A Lu Shan-long
%A Shen Xiao-hua
%A Zou Le-jun
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 4
%P 633-640
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0633

TY - JOUR
T1 - Land cover change in Ningbo and its surrounding area of Zhejiang Province, 1987~2000
A1 - Lu Shan-long
A1 - Shen Xiao-hua
A1 - Zou Le-jun
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 4
SP - 633
EP - 640
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A0633


Abstract: 
ningbo and its surrounding area is the forefront in the rapid economic development in the Yangtse delta, and the main production area for food supplies, cotton, edible oil and hemp; and at the same time, is the main area for wetland protection in Zhejiang Province. Our objectives were to quantify land cover change in ningbo and its surrounding area from 1987 to 2000 and to analyze the causative factors of the change. Using 30-m resolution landsat TM/ETM+ data and maximum likelihood classification method, we classified the study area into six land cover types: forest, agriculture, urban, freshwater, seawater and bottomland. The research results showed that significant changes in land cover occurred in the study area, and that agriculture and urban land cover change dominated most of the land cover change and were main causes for the changes of other types with human activities, such as urbanization, industrialization, etc. being the main factor while it was not very obvious whether climatic conditions have any role in the land cover changes. Agriculture, bottomland and other nature dominated land cover types are undergoing significant changes due to industrialization and urbanization, which threaten the stabilization of the environment. The study conclusion called for finding reasonable ways to solve the problems between land cover change and land use.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Arbia, G., Griffith, D., Haining, R., 1998. Error propagation modeling in raster GIS: overlay operations. International Journal of Geographical Information Science, 12(2):145-167.

[2] Cihlar, J., 2000. Land cover mapping of large areas from satellites: status and research priorities. International Journal of Remote Sensing, 21(6-7):1093-1114.

[3] Cohen, W.B., Justice, C.O., 1999. Validating MODIS terrestrial ecology products: linking in situ and satellite measurements. Remote Sensing of Environment, 70(1):1-3.

[4] Congalton, R.G., 1994. Accuracy Assessment of Remotely Sensed Data: Future Needs and Directions. Proceedings of Pecora 12 Land Information from Space-based Systems. ASPRS, Bethesda, p.383-388.

[5] Congalton, R.G., Green, K., Teply, J., 1993. Mapping old growth forests on National Forest and Park Lands in the Pacific Northwest from remotely sensed data. Photogrammetric Engineering and Remote Sensing, 59:529-535.

[6] Friedl, M.A., Brodley, C.E., 1997. Decision tree classification of land cover from remotely sensed data. Remote Sensing of Environment, 61(3):399-409.

[7] Giles, M.F., 2001. Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80:185-201.

[8] Hashiba, H., Kameda, K., Uesugi, S., Tanaka, S., 2000. Land use change analysis of Tama River Basin with different spatial resolution sensor data by Landsat MSS and TM. Adv. Space Res., 26(7):1069-1073.

[9] Hong, J., Ge, J.P., Jiang, N., 2004. Dynamics characteristics of land use change in Shanghai City from 1985 to 2000. Journal of Beijing Normal University (Natural Science), 40(6):814-819 (in Chinese).

[10] Hua, X.L., Zhu, H., 2000. Ningbo Yearbook. Publishing House of China (Zhong Hua Shu Ju), Beijing (in Chinese).

[11] Jensen, J.R., 1986. Introductory Digital Image Processing. Prentice-Hall, New Jersey, p.379.

[12] Jensen, J.R., Rutchey, K., Koch, M.S., Narumalani, S., 1995. Inland wetland change detection in the Everglades Water Conservation Area 2A using a time series of normalized remotely sensed data. Photogrammetric Engineering and Remote Sensing, 61(2):199-209.

[13] Justice, C., Belward, A., Morisette, J., Lewis, P., Privette, J., Baret, F., 2000. Developments in the ‘validation’ of satellite sensor products for the study of the land surface. International Journal of Remote Sensing, 21(17):3383-3390.

[14] Lambin, E.F., 1996. Change detection at multiple scales: seasonal and annual variations in landscape variables. Photogrammetric Engineering and Remote Sensing, 62:931-938.

[15] Lambin, E.F., Ehrlich, D., 1997. Land-cover changes in sub-Saharan Africa (1982~1991): application of a change index based on remotely sensed surface temperature and vegetation indices at a continental scale. Remote Sensing of Environment, 61(2):181-200.

[16] Li, X.B., 1996. A review of the international researches on land use and land cover change. Acta Geographica Sinica, 51(6):553-558 (in Chinese).

[17] Li, K.R., Chen, Y.F., Huang, M., Li, X.B., Ye, Z.J., 2000. Model studies of the impacts of climate change on land cover and its feedback. Acta Geographica Sinica, 55(supplement):57-63 (in Chinese).

[18] Lichtenegger, J., 1992. ERS-1: land use mapping and crop monitoring: a first close look to SAR data. Earth Observation Quarterly, (May-June):37-38.

[19] Louisa, J.M.J., Antonio, D.G., 2001. Parametric land cover and land use classifications as tools for environmental change detection. Agriculture, Ecosystems and Environment, 91:89-100.

[20] Mas, J.F., 1999. Monitoring land-cover changes: A comparison of change detection techniques. International Journal of Remote Sensing, 20(1):139-152.

[21] Merchant, J.W., Yang, L., Yang, W., 1994. Validation of Continental Scale Land Cover Data Bases Developed from AVHRR Data. Proceedings of Pecora 12 Land Information from Space-based Systems. ASPRS, Bethesda, p.63-72.

[22] Muchoney, D.M., Haack, B.N., 1994. Change detection for monitoring forest defoliation. Photogrammetric Engineering and Remote Sensing, 60:1243-1314.

[23] Nelson, S.A., Soranno, P.A., Qi, J.G., 2002. Land-cover change in upper Barataria basin estuary, Louisana, 1972-1992: Increases in wetland area. Environment Management, 29(5):716-727.

[24] Pal, M., Mather, P.M., 2003. An assessment of the effectiveness of decision tree methods for land cover classification. Remote Sensing of Environment, 86(4):554-565.

[25] Ramadan, E., Feng, X.Z., Cheng, Z., 2004. Satellite remote sensing for urban growth assessment in Shaoxing City, Zhejiang Province. Journal of Zhejiang University SCIENCE, 5(9):1095-1101.

[26] Ricketts, P.J., 1992. Current approaches in geographic, information systems for coastal management. Marine Pollution Bulletin, 25(1-4):82-87.

[27] Rogan, J., Franklin, J., Roberts, D.A., 2002. A comparison of methods for monitoring multitemporal vegetation change using Thematic Mapper imagery. Remote Sensing of Environment, 80(1):143-156.

[28] Sailer, C.T., Eason, E.L.E., Brickey, J.L., 1997. Operational multispectral information extraction: the DLPO image interpretation program. Photogrammetric Engineering and Remote Sensing, 63:129-136.

[29] Singh, A., 1989. Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10:989-1003.

[30] Smits, P.C., Dellepiane, S.G., Schowengerdt, R.A., 1999. Quality assessment of image classification algorithms for land-cover mapping: a review and proposal for a cost-based approach. International Journal of Remote Sensing, 20(8):1461-1486.

[31] Stefanov, W.L., Ramsey, M.S., Christensen, P.R., 2001. Monitoring urban land cover change: An expert system approach to land cover classification of semiarid to arid urban centers. Remote Sensing of Environment, 77(2):173-185.

[32] Steffen, W.L., Walker, B.H., Ingram, J.S., Koch, G.W., 1992. Global Change and Terrestrial Ecosystems: The Operational Plan IGBP Report No. 21. International Geosphere-Biosphere Program, Stockholm.

[33] Tateishi, R., Kajiwara, K., 1991. Global Lands Cover Monitoring by NOAA NDVI Data. Proceeding of International Workshop of Environmental Monitoring from Space. Taejon, Korea, p.37-48.

[34] Thomlinson, J.R., Bolstad, P.V., Cohen, W.B., 1999. Coordinating methodologies for scaling land cover classifications from site-specific to global: steps toward validating global map products. Remote Sensing of Environment, 70(1):16-28.

[35] Veregin, H., 1994. Integration of simulation modeling and error propagation for the buffer operation in GIS. Photogrammetric Engineering and Remote Sensing, 60:427-435.

[36] Wang, J., Li, W.J., Song, D.M., Tang, H., Dong, G.R., 2004. The analysis of land desertification changing of Minqin County in recent 30 years. Journal of Remote Sensing, 8(3):282-288 (in Chinese).

[37] Xia, B.C., Hu, J.M., Song, X.S., 2004. Analysis of land-cover change in Taoer Cachment during last 15 years. Journal of Soil and Water Conservation, 18(2):122-125 (in Chinese).

[38] Yu, K.Z., Wang, L.J., 1987. Map for Land-use of Zhejiang Province. Map Publishing House of China, Beijing (in Chinese).

[39] Zhou, X.C., Wu, F.D., Tian, M.Z., Tian, S.F., 2004. Study on dynamic monitoring land use/cover change in Bashang area based on RS and GIS technique. Research of Soil and Water Conservation, 11(3):17-20 (in Chinese).

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE