Methods for Deriving Urban Built-up Area Using Night-light Data:Assessment and Application

doi:10.11873/j.issn.1004-0323.2011.2.169

Abstract

Abstract:

Night\|light data from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) has been widely utilized to derive the urban built\|up areas.Four major methods,including Empirical Thresholding,Sudden Change Detection,Statistics\|assisted Thresholding,and TM\|assisted Thresholding,have been proposed to determine the threshold value for separating the illuminated urban areas from the dark background of rural areas in DMSP/OLS night\|light images.This paper makes a comprehensive assessment of those methods through a case study of Shanghai,China.The methods are implemented to extract the urban built\|up area for Shanghai using DMSP/OLS stable light data acquired in 2003.Then,the same threshold values obtained from 2003 DMSP/OLS night\|light data are applied respectively to the 2000 and 2006 DMSP/OLS data,resulting in a significant error in urban built\|up area detection.This analysis result suggests that the threshold value determined for a specific year cannot be extended and transferred to other years.The failure in temporal extensibility of threshold value means that an appropriate threshold value has to be determined for every year when a time series of DMSP/OLS nigh\|light data need to be processed.Therefore,the method that determines threshold value independent of reference data is more suitable for processing time series DMSP/OLS data.The Sudden Change Detection method does not require ancillary reference data and is the best choice of those methods considering the convenience,accuracy,and automated data processing,and it is then adopted to derive the urban built\|up areas of Shanghai from 2000 to 2006.

Key words: Night-light data, MSP/OLS, Urban built-up area, Threshold segmentation, Shanghai

鎽樿锛�

DMSP/OLS澶滈棿鐏厜鏁版嵁宸茶骞挎硾搴旂敤浜庡煄甯傚缓鎴愬尯鐨勬彁鍙栥�傜洰鍓嶄富瑕佸瓨鍦�4绫绘彁鍙栨柟娉�:缁忛獙闃堝�兼硶銆佺獊鍙樻娴嬫硶銆佺粺璁℃暟鎹硶鍜岃緝楂樺垎杈ㄧ巼褰卞儚鏁版嵁绌洪棿姣旇緝娉曘�備互涓婃捣涓轰緥,鍦�2000骞淬��2003骞淬��2006骞村闂寸伅鍏夋暟鎹殑鍩虹涓�,鍒╃敤4绉嶆柟娉曞畬鎴愪簡鍩庡競寤烘垚鍖虹殑鎻愬彇銆傞�氳繃瀵逛笉鍚屽勾浠芥暟鎹彁鍙栫粨鏋滅殑姣旇緝,璇佹槑浜嗙浉鍚岀殑鐏板害鍒嗗壊闃堝�煎涓嶅悓骞翠唤鐨勫闂寸伅鍏夋暟鎹腑涓嶅瓨鍦ㄩ�氱敤鎬э紱鍦ㄥ2003骞村闂寸伅鍏夋暟鎹殑鎻愬彇涓�,4绫绘柟娉曟墍寰楃粨鏋滅簿纭害浠庨珮鍒颁綆渚濇涓虹粺璁℃暟鎹硶銆佺獊鍙樻娴嬫硶銆佺粡楠岄槇鍊兼硶鍜岃緝楂樺垎杈ㄧ巼褰卞儚鏁版嵁绌洪棿姣旇緝娉�,鐩稿璇樊鍒嗗埆涓�1.3%銆�2.1%銆�5.1%鍜�11.2%,鍦ㄥ4绉嶆柟娉曠殑渚挎嵎鎬у拰鍙疄鐜版�ц繘琛屽垎鏋愪笌璇勪环鍚�,浣跨敤绐佸彉妫�娴嬫硶瀹屾垚浜嗕笂娴峰競2000~2006骞村煄甯傚缓鎴愬尯鐨勬彁鍙栥��

鍏抽敭璇�: 澶滈棿鐏厜鏁版嵁, DMSP/OLS, 鍩庡競寤烘垚鍖�, 闃堝�煎垎鍓�, 涓婃捣

CLC Number:

TP 79

SHU Song,YU Bai-lang,WU Jian-ping,LIU Hong-xing. Methods for Deriving Urban Built-up Area Using Night-light Data:Assessment and Application[J]. Remote Sensing Technology and Application, 2011, 26(2): 169-176.

鑸掓澗,浣欐煆钂� ,鍚村仴骞�,鍒樼孩鏄�. 鍩轰簬澶滈棿鐏厜鏁版嵁鐨勫煄甯傚缓鎴愬尯鎻愬彇鏂规硶璇勪环涓庡簲鐢╗J]. 閬ユ劅鎶�鏈笌搴旂敤, 2011, 26(2): 169-176.

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