基于多源数据的干旱区盐渍地信息提取

doi:10.11873/j.issn.1004-0323.2010.2.209

閬ユ劅鎶�鏈笌搴旂敤鈥衡�� 2010, Vol. 25 鈥衡�� Issue (2): 209-215.DOI: 10.11873/j.issn.1004-0323.2010.2.209

鈥� 鐮旂┒涓庡簲鐢� 鈥� 涓婁竴绡� 涓嬩竴绡�

鍩轰簬澶氭簮鏁版嵁鐨勫共鏃卞尯鐩愭笉鍦颁俊鎭彁鍙�

浣曠ズ鑳�^1,2,鏇规槬棣�¹,濉旇タ鐢媺鎻�·鐗逛緷鎷�³

1.涓浗绉戝闄㈤仴鎰熷簲鐢ㄧ爺绌舵墍閬ユ劅绉戝鍥藉閲嶇偣瀹為獙瀹わ紝鍖椾含 100101锛涱��
2.涓浗绉戝闄㈢爺绌剁敓闄紝鍖椾含 100049锛涱��
3.鏂扮枂澶у璧勬簮涓庣幆澧冪瀛﹀闄㈢豢娲茬敓鎬佹暀鑲查儴閲嶇偣瀹為獙瀹�,鏂扮枂涔岄瞾鏈ㄩ綈 830046

鏀剁鏃ユ湡:2009-02-01 淇洖鏃ユ湡:2010-03-17 鍑虹増鏃ユ湡:2010-04-20 鍙戝竷鏃ユ湡:2010-10-19
浣滆�呯畝浠�:浣曠ズ鑳�(1981-)锛岀敺锛屽崥澹爺绌剁敓锛屼富瑕佷粠浜嬭祫婧愮幆澧冦�佸畾閲忛仴鎰熶互鍙婂湴鐞嗕俊鎭郴缁熷簲鐢ㄧ爺绌躲�侲-mail:hqsfei999@163.com銆�
鍩洪噾璧勫姪:
鍥藉鑷劧绉戝鍩洪噾椤圭洰(40261006),鍥藉鑷劧绉戝鍩洪噾椤圭洰(40871173),鑷不鍖洪珮鏍＄鐮旇鍒掗」鐩�(XJEDU2004I06),闈掓捣鐪侀噸澶х鎶�鏀诲叧璁″垝(2006-G-160-01)璧勫姪銆�

Study on the Extraction of Saline Soil Information in Arid Area Based on Multiple Source Data

HE Qi-sheng^1,2,CAO Chun-xiang¹,Tashpolat·Tiyip³

1.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China; 2.Graduate School of Chinese Academy of Sciences,Beijing 100049,China; 顎�
3.Key Laboratory of Oasis Ecology Ministry of Education,College of Resource and Environment Sciences,Xinjiang University,Urumqi 830046,China

Received:2009-02-01 Revised:2010-03-17 Online:2010-04-20 Published:2010-10-19

鎽樿/Abstract

鎽樿锛�

鍦熷￥鐩愭笉鍖栦弗閲嶅▉鑳佺潃骞叉棻鍖虹豢娲茬殑绋冲畾涓庡彲鎸佺画鍙戝睍锛屽洜姝ゅ�熷姪閬ユ劅鎵嬫蹇�熸彁鍙栫洂娓嶅湴淇℃伅骞跺強鏃舵帉鎻″叾绌洪棿鍒嗗竷鏈夌潃閲嶈鐨勭幇瀹炴剰涔夈�備互濉旈噷鏈ㄧ泦鍦板寳缂樼洂娓嶅湴鏅亶鍙戣偛鍖哄煙搴撹溅缁挎床涓轰緥锛屾帰璁ㄤ簡骞叉棻鍖轰互鐩愮敓妞嶈绾㈡煶涓轰富瑕佽鐩栫殑鐩愭笉鍦颁俊鎭殑鎻愬彇鏂规硶銆傜患鍚堝埄鐢═M鍗槦鍥惧儚鏁版嵁浠ュ強Radarsat闆疯揪鏁版嵁锛屽垎鏋愪簡鐮旂┒鍖轰富瑕佸湴鐗╃殑鍏夎氨鐗瑰緛鍙婂叾娉㈡闂寸殑鐩镐簰杩愮畻锛屼粠鑰屽垎鏋愮洂娓嶅湴涓庡叾瀹冨湴鐗╀箣闂寸殑鍙垎鎬с�傜潃閲嶅垎鏋愪簡闆疯揪娉㈡浣滀负涓�涓尝娈靛姞鍏TM鐨�6娉㈡涓竴璧峰弬涓庝富鎴愬垎鍙樻崲鍚庡鐩愭笉鍦颁俊鎭殑鎻愬彇銆傜爺绌惰〃鏄庯細K-L-5锛堢浜斾富鎴愬垎锛夋槸鎻愬彇閲嶅害鐩愭笉鍦颁俊鎭殑鏈�浣虫尝娈碉紝TM1鏄尯鍒嗙孩鏌宠鐩栧尯锛堣交銆佷腑搴︼級鐩愭笉鍦颁俊鎭殑鏈�浣虫尝娈碉紝鎻愬彇鐩愭笉鍦颁俊鎭椂娣峰垎鐨勬按浣撲俊鎭彲浠ラ�氳繃MNDWI锛堟敼杩涘綊涓�鍖栧樊寮傛按浣撴寚鏁帮級璁惧畾涓�瀹氱殑闃堝�间簣浠ュ墧闄わ紝娣峰垎鐨勬琚俊鎭彲浠ラ�氳繃NDVI璁惧畾涓�瀹氱殑闃堝�间簣浠ュ墧闄ゃ�傛牴鎹互涓婂垎鏋愶紝寤虹珛鍐崇瓥鏍戞ā鍨嬭繘琛岀洂娓嶅湴淇℃伅鐨勬彁鍙栥�傜粨鏋滆〃鏄庯紝璇ユ柟娉曠殑鎬讳綋鎻愬彇鏁堟灉杈冨ソ锛屾槸骞叉棻鍖虹洃娴嬬洂娓嶅湴鍙樺寲鐨勬湁鏁堟墜娈点�傚悓鏃朵篃璇存槑鐢变簬闆疯揪娉㈡鐨勫弬涓庡鍔犱簡鐩愭笉鍦颁笌鍏跺畠鍦扮墿涔嬮棿鐨勫彲鍒嗘�э紝涓洪浄杈惧奖鍍忓湪鎻愬彇鐩愭笉鍦颁俊鎭柟闈㈡彁渚涗簡涓�鏉℃湁鏁堥�斿緞銆�

鍏抽敭璇�: ETM, Radarsat, 鍐崇瓥鏍�, 鐩愭笉鍦颁俊鎭彁鍙�, NDVI MNDWI K-L鍙樻崲

Abstract:

Soil salinization has severely threatened the inner stability and the sustainable development of oasis in arid areas,so extracting the saline soil information rapidly based on remote sensing and mastering its spatial distribution are of important practical significance.In this article,taking the Kuqa oasis as the example,TM image collected on August 2001 and Radarsat image collected on Mar 2001 were used.The approach of effective remote-sensing information extraction for saline soil was discussed.The mechanism and characteristics of saline soil and other objects was analyzed to find the possibility of extracting saline soil from the background.The analysis was focused that the radar-band as a band to join the six bands of ETM together was taken to perform the principal component transformation to extract the saline soil information.The research shows that K-L-5 is the best band to extract severe saline soil information,TM1 is the best band to differentiate saline soil information with the salt-tolerant vegetation of Hongliu and the mixed water body and vegetation information can be separated by the index of MNDWI and NDVI.Then,based on the analysis,a simple model of decision tree was applied to extracting saline soil information.Finally,the results were checked by statistical accuracy assessment.The results suggest that the model of decision tree was simple and effective and the precision of this approach was very high,so it was an effective method for monitoring saline soil changes in arid area.It also showed that the separability between the saline soils and other classes was increased due to the participation of radar band,and an effective way was provided to extract saline soils information using radar images.

Key words: ETM, Radarsat, Decision tree algorithm, Extraction of saline soil information, NDVI, MNDWI, K-L transformation

浣曠ズ鑳�, 鏇规槬棣�, 濉旇タ鐢媺鎻惵风壒渚濇嫓. 鍩轰簬澶氭簮鏁版嵁鐨勫共鏃卞尯鐩愭笉鍦颁俊鎭彁鍙朳J]. 閬ユ劅鎶�鏈笌搴旂敤, 2010, 25(2): 209-215.

HE Qi-sheng, CAO Chun-xiang, Tashpolat路Tiyip. Study on the Extraction of Saline Soil Information in Arid Area Based on Multiple Source Data[J]. Remote Sensing Technology and Application, 2010, 25(2): 209-215.

鍙傝�冩枃鐚�

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[7]	鐗熸槺鐠�,閭槑鏉�,鐗涢摦,榛勬枃姹�,鏉ㄥ敖. 鍗楁柟鍦板尯澶嶆潅鏉′欢涓嬬殑鑰曞湴闈㈢Н閬ユ劅鎻愬彇鏂规硶[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2020, 35(5): 1127-1135.
[8]	浠绘収鏁�,瀹嬪啲姊�,鐜嬫枌,鐢勫畻鏅�,鍒樻枌,寮犲┓. 鍩轰簬鏂版瀬鍖栫壒寰佸弬鏁扮殑SAR娴锋磱婧㈡补妫�娴�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2020, 35(4): 934-942.
[9]	鍒樺煿,浣欏織杩�,椹▉,闊╃憺姊�,闄堟瓒�,鐜嬫兜,鏉ㄧ搴�. 鍩轰簬鍦板舰淇℃伅鐨凩andsat涓嶳adarsat-2閬ユ劅鏁版嵁鍗忓悓鍒嗙被鐮旂┒[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2019, 34(6): 1269-1275.
[10]	鏉庢檽鎱�, 鐜嬪畯, 鏉庢檽鍏�, 杩熺櫥鍑�, 姹ゆ浘浼�, 闊╅噸杩�. 鍩轰簬澶氭椂鐩窵andsat 8 OLI褰卞儚鐨勫啘浣滅墿閬ユ劅鍒嗙被鐮旂┒[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2019, 34(2): 389-397.
[11]	璋锋檽澶�, 楂樺皬绾�, 椹収濞�, 鍙查椋�, 鍒橀洩姊�, 鏇规檽鏁�. 澶嶆潅鍦板舰鍖哄湡鍦板埄鐢�/鍦熷湴瑕嗚鍒嗙被鏈哄櫒瀛︿範鏂规硶姣旇緝鐮旂┒[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2019, 34(1): 57-67.
[12]	鐜嬪父棰�, 鐢板痉鏀�, 闊╁洯宄�, 闅嬫瘏, 鍒濅匠鍏�. 鍩轰簬灞炴�у樊鍐崇瓥鏍戠殑鍏ㄦ瀬鍖朣AR褰卞儚娴峰啺鍒嗙被顎�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2018, 33(5): 975-982.
[13]	鐜嬪嚡锛岃档鍐涳紝鏈卞浗閿�. 鍩轰簬GF-1閬ユ劅鏁版嵁鍐崇瓥鏍戜笌娣峰悎鍍忓厓鍒嗚В妯″瀷鐨勫啲灏忛害绉嶆闈㈢Н鏃╂湡浼扮畻[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2018, 33(1): 158-167.
[14]	鍛ㄦ檽瀹囷紝闄堝瘜榫�. 鍥涘窛澶х唺鐚爾鎭湴PALSAR鏃跺簭鏁版嵁妫灄瑕嗙洊鍔ㄦ�佺洃娴嬬爺绌额�冾��[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2017, 32(6): 1100-1106.
[15]	濮繝鏋楋紝寮犳湀骞筹紝鏉庝箶鐜勶紝鍒樼粛璐碉紝鏉庢窇濞燂紝浠荤孩鑹�. 鍩轰簬GF-1褰卞儚鐨勫啲灏忛害鍜屾补鑿滅妞嶄俊鎭彁鍙�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2017, 32(4): 760-765.

鍩轰簬澶氭簮鏁版嵁鐨勫共鏃卞尯鐩愭笉鍦颁俊鎭彁鍙�

Study on the Extraction of Saline Soil Information in Arid Area Based on Multiple Source Data

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寮曠敤鏈枃

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鐩稿叧鏂囩珷 15

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