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1 T ransactions of the CSA E V o l. 21N o. 2 Feb NDV I ( ; : 2000 SPO T 42 V EGETA T ION NDV I 6 14 PC I ISODA TA A rcm ap NDV I ISODA TA ( % : NDV I; ; ; ; : F301 : A : ( NDV I [J ] (2: W ang Q uanfang L i J iayong. L and cover classification in red so il h illy region of Ch ina u sing m u lti2tem po ral V EGETA T ION gndv I data: a case study of Poyang basin [J ]. T ransactions of the CSA E (2: ( in Ch inese w ith English abstract 0 ( g 1 [ 1 ] : : : (KZCX2-407 : ( Em ail: w angqf@hubu. edu. cn 2000 SPO T 42V EGETA T ION NDV I E 24 NOAA gav HRR SPO T 42V EGETA T ION N 5 [ 2-10 ] NDV I(N o rm alized ( D ifference V egetation index ( [ ] km 2 NDV I 9% ; [ ] km % 97. 2% ; ( [ ] ( ; [ 13 ] ( [ ] 2 SPO T 42

2 2 : NDV I 73 V EGETA T ION gndv I TM ( SPO T 42V EGETA T ION gndv I SPO T 42V EGETA T ION gndv I ; ( km 1 km ; NDV I 0255; SPO T 42V EGETA T ION V EGETA T ION gndv I ( ( M V C (M ax im um V alue Com po sites 1km 8km (1 NOAA gav HRR NDV I SPO T 4 V EGETA T ION i = ; j = NOAA gav HRR 1 km 12 V EGETA T ION g [ ] V EGETA HON AV HRR NDV I ERDA S V EGE IIA HON 3 Geograph ic A lbers Con ical Equal A rea : V EGETA HON km 1km AV HRR ( ERDA S ; V EGETA HON 4 : 30m 2TM ( A CEA ; V EGETA HON [ 23 ] 2. 2TM getm TM 1 km V EGETA T ION gndv I 2. 3GPS (CERN ; M apsou rce A rcview 150 ( ; ( (2000 V EGETA T ION NDV I NDV I N D V I j = m ax (N D V I ij (1 1

3 ( [ ] 1 km ( ( 3 VA GETA T ION g NDV I ( ( ( : SPO T 42VA GETA T ION NDV I 1 km - NDV I V EGETA T ION gndv I 6 ( : NDV I g ( g ( g ( TM ( TM (1 ( TM 9 1 VA GETA T ION gndv I ( T able 1T h ree2level schem e of land cover classification in Poyang basin g 21 ( g 31 ( g ( SPO T 42VA GETA T ION 1 V EGETA T ION gndv I F ig. 1L and cover m ap of Poyang basin from V EGETA T ION gndv I data

4 2 : NDV I 75 2 : PC I8. 2 ISODA TA 2 V EGETA T ION gndv I : 120 (C lu ster A rcm ap Excel NDV I NDV I km V EGETA T ION gndv I 15 ( ( E rro r ( M atrix [ ] 30m 2TM Kappa ( (2 ^ K = N g r x ii - (x i+ g x + i i N 2 - (x i+ g x + i (2 ^ K Kapp a ; r ; x ii i i ( ; x i+ x + i - 1 km i i ; N SPO T 42V EGETA T ION Kappa Kappa VA GETA T ION 2NDV I 80% 5 6 ( 1 km SPO T 42VA GETA T ION 1 km + 2 VA GETA T ION gndv I T able 2E rro r2m atrix fo r land cover classification in Poyang basin using VA GETA T ION gndv I data : (2 : ( % ; g ( % g (16. 63% 5. 42% % % 2 F ig. 2Structure p ropo rtion of land cover in Poyang basin

5 (1. 45% [ 6 ]. NOAA 4 [ 7 ]. 1 [J ] (1: [8 ]Steven W. R uning T hom as R. L oveland and L ars L. P ierce. A vegetation classification logic: Based on rem o te sensing fo r use in global biogeochem ical models [ J ]. SPO T 42V EGETA T ION NDV I AM B IO (1: [ 9 ]. 2 SPO T 42V EGETA T ION (3: NDV I [ 11 ]. [J ]. ISODA TA (4: ( [ 12 ]. NDV I [J ] (5: [ 13 ]. ( [M ]. : [ 14 ]. [M ]. ( : [ 15 ]. [J ] (5: [ 16 ]. [M ]. : - - ( % [ 17 ]. [M ]. : % ( % [ 18 ]. [M ]. : SPO T 42V EGETA T ION TM [ 19 ]. [M ]. : [ 20 ]. [M ]. : [ ] [1 ]W u B F L iu C L. C rop grow th monito r system w ith [22 ]V egetation- 2000[EQ gon ]. h ttp: ggv egetation. cneṡ fr coup ling of NOAA and V GT data [A ]. V egetation P roceedings[c ] [23 ]. SPO T 42V EGETA T l0n [ 2 ]. [J ] (1: [3 ]X iaom ing X iao Stephen Bo les J iyuan L iu et al. [24 ]Congalton R G. A review of assessing the accuracy of Characterization of fo rest types in N o rtheastern Ch ina classifications of remo tely sensed data [ J ]. R emo te Sen sing Environ : using m ulti2tempo ral SPO T 42V EGETA T ION senso r data [25 ]R ichards J A. C lassifier perfo rm ance and m ap accuracy [J ]. R emo te Sensing of Environm ent : [J ]. R emo te Sensing Environ : [26 ]Stehm an S V. [ 4 ]. [M ]. : Selecting and interp reting m easures of them atic classification accu racy [ J ]. R em o te Sen sing [ 5 ]. [M ]. : [J ] (2: [J ] (16: [ 10 ]. NOAA gav HRR NDV I [J ] : [ 21 ]. [J ]. ( (2: [J ] (3: Environ :

6 2 : NDV I 77 Land cover classif ication in red so il h illy reg ion of Ch ina using m ulti- tem poral VEGETATIONgND V I data: a case study of Poyang basin W a ng Q ua nfa ng L i J ia yong (Institu te of Geog rap h ic S ciences and N atu ral R esou rces R esearch Ch inese A cad em y of S ciences B eij ing Ch ina Abstract: Poyang L ake is the la rgest fresh lake and lies in red so il h illy reg ion of Ch ina. Poyang ba sin is an im po rtan t agricu ltu ral p roduction base especially paddy field and an area suffered from seriou s flood disasteṙ th is study a new idea of classification fo r the clu stering of Poyang basin land cover has been p ropo sed based on the cover spectral respon se and characteristics of seasonal variab ility by u sing m u lti2tem po ral SPO T 42 V EGETA T ION sen so r data (NDV I w h ile land cover type is nam ed after co lo ṙ T hen a tw o2level land cover classification system has ten tatively been upbu ilṫ Based on it the p relim inary land cover m ap of Poyang basin has been derived from the un supervised classification of NDV I digital im ages by app lying ISODA TA algo rithm in PC I softw are and SpatialA nalyst Function in A rcm ap. A cco rding to the area the to tal land cover den sity reaches % : evergreen cover is % crop 2fo rest2grassland m ixed cover % crop s % in p ropo rtion to the Poyang basin at p resen ṫ Key words: m u lt i2tem po ra l NDV I; sp ect ra l respon se; cha racterist ics of sea sona l va riab ility; land cover classification; Poyang lake basin In ( : ; ( : ; ( 4 ( : g ; g : (4 (

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