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1 RESOURCES SCIENCE Vol. 26,No. 6 Nov., ,,,, (, ) : SPOT m : hm 2, 37, , % % 7176 % 1 5,1 1, :1 : ; ; :F ;TP391 ;TP79(224ZB) :A : (2004) , ; , (RS) ( GIS) ( GPS), GIS [1 6 ], SPOT m ; ; 1 ( : ), : ; : : ( :AEB129) ; : : (1973 ),,,

2 26 6 : , 20 50, 2 1 1, SPOT25, 2 SPOT25 : 4 SPOT m, : ( ), ( ), ( ), ( ) ; 3 SPOT25 10 m, :276/ 267 ( ),277/ 267 ( ),276/ 266 ( ) 1 5 (DEM) DOM( ), , : SPOT25, , ,, DEM 1 1 SPOT25 SPOT m 1 1, DOM ( 2) SPOT25 10 m, SPOT m PCI Geo2 matica SPOT m 215m,SPOT25 10 m 5 m 3 -, 1 Table 1 Description of data SPOT m SPOT25 10 m DEM DOM 31212,,

3 SPOT m SPOT25 10 m 1 Fig. 1 Flow chart of methodologies used in this experimental research SPOT25 10 m 1,2,3, HIS PCI Geo2 matica ( ), 37 ( ) 2 DOM Fig. 2 The distribution of DOM used in the process of othorectif 3 TM, 65 % ERDAS ( ),3 ( ),4 ( ),, 2003

4 26 6 : , 3 : 2 ; 5 ( 5 ) ; 54 ( 54 ) 31215,, ArcGIS ( ) 3 : GPS ( ) ;, ( ) ;, , ( :k50g066014, 3) hm 2, Fig. 3 A example of land use maps of Zhangbei county in 2002

5 , Table 2 Investigation results on land use by remote sensing , with a scale of in Zhangbei county in 2002 (hm 2, %) hm 2, %, , hm 2, %, , hm 2, % , % % %, %, ( %) ( %), ( 7176 %), % 0125 % 0104 %, 2112 %, 2101 % 2190 %, ( 1137 %) ( 1164 %) ,

6 26 6 : Table 3 Comparison of investigation results with different scales (hm 2, %) SPOT24 SPOT22 10 m 1 5 ( 1 5 ) 1 5, 1 1 ( 3) : hm hm 2, 013 % ;, 1105 % 8119 %, % ;, , % % %, % %, % % 2151 %, %, % ;, 1 1, SPOT m 1 1 2,, DOM 29 DOM DOM, GPS 512 [7,8 ] 2 :

7 , ;,,, 1164 hm 2 513, ;,,, , ; ( ), 1 5, 5. 5 [10 ] ; [11 ],, : ( ),, 2003,,, 6, hm 2, , % % 7176 %, 1 5, 1 1, 1 5,

8 26 6 : ( References) : [ 1 ],. TM [J ].,1999,3(2) : [ ZHU Guang2liang, LIU Nan. The experimental research to accuracy assessment of land2use automatical classification in Haining city of Zhejiang Prov2 ince[j ]. Journal of Remote Sensing, 1999,3 (2) : ] [ 2 ],,. GIS [J ]., 1996, (5) : [LI Si2hai, XU Su2lan, ZHANG Wen2zhong. GIS2supported present land use classification and mapping using satellite imagery[j ]. Resources and Environment in the Yangtze Valley, 1996, (5) : ] [ 3 ],,. SPOT5 [J ]. ( ), 2003, 26 (3) : [QIAO Wei2feng, SUN Zai2hong, HOU Bin. The method of making ortho2photo image for land use actuali2 ty map assisted updating by using SPOT5 image[j ]. Journal of Nangjing Normal University ( Natural Science),2003, 26 (3) : ] [ 4 ],. Π [J ]., 2003, 19 (3) : [ FENG Chun, CHEN Jian2ping. Methods to improve classification precision of RS images in land useπcover research. [J ]. Geography and Geo2 Information Science, 2003, 19 (3) : ] [ 5 ],. NOAAΠAVHRR [J ]., 2004, 26 (4) : [ WU Xiu2qin, MENGJi2jun. Landscape classification of Northeast China based on NOAAΠAVHRR images and geographical spatial data[j ]. Resources Science, 2004, 26 (4) : ] [ 6 ]. [M]. :,1996. [LIU Ji2yuan. Investigation and research of resource and environment in China based on remote sensing[j ]. Beijing : Science Press,1996. ] [ 7 ], [J ]., 2003, 17 (6) : [ ZENG Le2chun, WANG Zhao2li. Application of new land classification in the investigation ofcurrent land use with the large2scale of [J ]. Chi2 na Land Sciences, 2003, 17 (6) : ] [ 8 ],. [J ]., 2003, 26 (1) : [ YUE Jian, ZHANG Xue2mei. A dis2 cussion on the classification of land use in China[J ]. Arid Land Geography, 2003,26 (1) : ] [ 9 ],,,. / [M]. :, [ SHI Pei2jun, GONG Peng, LI Xiao2bing, et al.. Methods and Practices of Land UseΠCover Change Study[M]. Beijing : Science Press, ] [10 ] R. Gil Pontius, Jr. Quantification error versus location error in comparison of categorical maps[j ]. Photogrammetric Engineering & Remote Sensing, 2000, 66(8) : [11 ] ZHU, A2xing. Measuring uncertainty in class assignment for natural resource maps under fuzzy logic[j ]. Photogrammetric Engineering and Re2 mote Sensing, 1997,63 :

9 Experimental Research to Investigate Present Land Use by Remote Sensing with Large Scale of in Zhangbei County ZHANG Yong2min, ZHOU Cheng2hu, LI Bao2lin, ZHANGJun, HUANG Man2xiang ( State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing , China) Abstract :Land use is an important driving force not only to the change of natural environment, but also to the development of socio2economic. Therefore, investigation on present land use can play a vital role in providing information to serve the process of making governmental decisions. Based on SPOT25 images with the pixel size of 2. 5 metres and other relevant data, the purposes of this paper is to explore the methodologies of land use investigation by remote sensing with the scale of , and to conduct such an experimental research to investigate the land use in Zhangbei county in The complete land use investigation is mainly com2 posed of 5 steps that is, in sequence, image geomectric correction (or orthorectification), images fusion, land use classification, image interpretation, and the modification of vector data. In particular, orthorectifi2 cation and image interpretation are the two most important processes in this research. The results of our inves2 tigation indicate that the land area of Zhangbei county is hm 2 including 37 categories of land use types and land use patches in As 3 main land use types, dry cultivated land, natural grassland and forestland account for %, % and 7176 % of the total land area respectively. Compared with another investigation with scale of Zhangbei land use in 2002, more accurate results were obtained in this one. For example, we digitized many small patches of some land use types, such as barren grassland, bare land, rock and gravel, reed land, which can not be found in the results of investigation. It is believed that large scale land use investigation with high resolution images, by providing more accurate infor2 mation, has become an important tool to support governmental land use decisions and further land studies, and that the methodologies presented in this paper is also suitable to the future similar land use investiga2 tions. However, some problems were also found in the present < national land classification > from this ex2 perimental research. For example, protective forest belt distributed in cultivated land was not clearly classi2 fied. In addition, the type of unused land is not defined clearly and logically that occurs two times in the land use classification system. This shows that < national land classification > has to be modified to meet the need of large scale land use investigation with high resolution remote sensing images. Furthermore, we also found that the lack of fundamental geographical maps, such as relief map, has become an important con2 straint factors to the coming large scale land use investigations in some counties. Key words :Zhangbei county ; scale ; Land use investigation ; Remote sensing

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