基于遥感的内蒙古地级市土地覆盖结构时空变化特征分析

doi:10.11873/j.issn.1004-0323.2019.1.0033

閬ユ劅鎶�鏈笌搴旂敤鈥衡�� 2019, Vol. 34 鈥衡�� Issue (1): 33-45.DOI: 10.11873/j.issn.1004-0323.2019.1.0033

鈥� 鍦熷湴鍒╃敤/瑕嗚涓撴爮鈥� 涓婁竴绡� 涓嬩竴绡�

鍩轰簬閬ユ劅鐨勫唴钂欏彜鍦扮骇甯傚湡鍦拌鐩栫粨鏋勬椂绌哄彉鍖栫壒寰佸垎鏋�

杩熸枃宄�^1锛�2锛屽尅鏂囨収²锛屽厷鏅撳畯³锛屾綐娑�⁴锛屽垬姝ｄ匠²顎�

锛�1.鍐呰挋鍙よ储缁忓ぇ瀛﹁祫婧愪笌鐜缁忔祹瀛﹂櫌锛屽唴钂欏彜鍛煎拰娴╃壒 010070锛涱��
2.涓浗绉戝闄㈠湴鐞嗙瀛︿笌璧勬簮鐮旂┒鎵�锛屽寳浜� 100101;顎�
3.鍐呰挋鍙ゅ啘涓氬ぇ瀛︽矙婕犳不鐞嗗闄紝鍐呰挋鍙� 鍛煎拰娴╃壒 010011;
4.涓浗绉戝闄㈠ぇ瀛︼紝鍖椾含 100049锛�

鏀剁鏃ユ湡:2018-03-06 鍑虹増鏃ユ湡:2019-02-20 鍙戝竷鏃ユ湡:2019-04-02
浣滆�呯畝浠�:杩熸枃宄帮紙1984-锛夛紝鐢凤紝鍐呰挋鍙ら�氳窘浜猴紝璁插笀锛屽崥澹悗锛屼富瑕佷粠浜婰UCC鍙婄敓鎬佺幆澧冩晥搴旂爺绌躲�侲-mail锛歝hiwenfeng2005@126.com銆�
鍩洪噾璧勫姪:
鍥藉鑷劧绉戝鍩洪噾閲嶅ぇ椤圭洰涓撻锛�41590842锛夛紝2019骞村害鍐呰挋鍙よ嚜娌诲尯楂樼瓑瀛︽牎鈥滈潚骞寸鎶�鑻辨墠鏀寔璁″垝鈥濓紙B绫伙級椤圭洰(NJYT-19-B29)锛屽浗瀹惰嚜鐒剁瀛﹀熀閲戦」鐩�(41601582)銆�

Spatio-temporal Characteristics of Urban Land Cover Structures in Prefecture-level Cities of Inner Mongolia Autonomous Region based on Remote Sensing Imagery

Chi Wenfeng^1锛�2锛孠uang Wenhui²锛孌ang Xiaohong³锛孭an Tao⁴锛孡iu Zhengjia²顎�

(1.College of Resources and Environment Economy College锛孖nner Mongolia University of Finance and Economics锛孒ohhot 010070锛孋hina;顎�
2.Institute of Geographic Sciences and Natural Resources Research锛孋hinese Academy of Sciences锛孊eijing 100101锛孋hina;顎�
3.College of Desert Control Science and Engineering锛孖nner Mongolia Agricultural顎僓niversity锛孒ohhot 010011锛孋hina;顎�
4.University of Chinese Academy of Sciences锛孊eijing 100049锛孋hina)

Received:2018-03-06 Online:2019-02-20 Published:2019-04-02

鎽樿/Abstract

鎽樿锛�

鍩庡競鍦熷湴瑕嗙洊缁撴瀯瀵瑰煄甯傜敓鎬佹湇鍔″姛鑳藉拰浜哄眳鐜璐ㄩ噺浜х敓閲嶈鐨勫奖鍝嶃�傞噰鐢�2000~2015骞碙andsat TM骞跺崗鍚岄珮鍒嗚鲸鐜囬仴鎰熷奖鍍忥紝鍒╃敤绾挎�у厜璋辨贩鍚堟ā鍨嬭幏鍙栧唴钂欏彜12涓湴绾у競姣�5 a鍦熷湴瑕嗙洊缁撴瀯淇℃伅锛岀洃娴嬪苟鍒嗘瀽鍩庡競鎵╁紶鏃剁┖鍔ㄦ�併�佸湡鍦拌鐩栫粨鏋勫強鎵╁紶绫诲瀷宸紓鐗瑰緛銆傜爺绌剁粨鏋滆〃鏄庯細2000~2015骞达紝鍐呰挋鍙�12涓湴绾у競鍦熷湴瑕嗙洊缁撴瀯鎬讳綋鍙樺寲杈冨揩锛屽煄甯傞潰绉墿寮�278.93km²銆傜浉姣旇緝鑰岃█锛�2010~2015骞村煄甯傞潰绉墿寮犳瘮渚嬫槸鍓嶄袱涓椂闂存锛�2000~2005骞村拰2005~2010骞达級鐨�1.61鍊嶄笌1.91鍊嶃��2010骞翠互鏉ュ彉鍖栨渶涓哄墽鐑堬紝鍩庡競涓嶉�忔按鍦拌〃鎵╁紶灏や负鏄庢樉锛屽煄甯傛琚憟鐜颁笉鍚岀▼搴﹀鍔犳�佸娍銆傚煄甯傛墿寮犵粡鍘嗕簡3涓樁娈碉紝鍗冲煄甯傚唴閮ㄥ～鍏呪�斿煄甯傚唴閮ㄥ～鍏呪�斿煄甯傚寤舵墿寮犲瀷涓轰富鐨勫彉鍖栬繃绋嬶紝鍏朵腑鍖呭ご甯傚拰鍛间鸡璐濆皵灞炰簬鍐呴儴濉厖鍨嬪煄甯傘�傚唴钂欏彜鍦扮骇甯傚湡鍦拌鐩栫粨鏋勫彉鍖栧強宸紓鐗瑰緛涓庝汉鍙ｅ闀垮拰绀句細缁忔祹鍙戝睍鏈夊瘑鍒囩殑鍏崇郴銆�

鍏抽敭璇�: 鍩庡競鍦熷湴瑕嗙洊, 涓嶉�忔按鍦拌〃, 鍐呰挋鍙ゅ湴绾у競, 閬ユ劅

Abstract: The urban land cover structures play an important role in providing urban ecological service and altering the quality of human settlements environment.In this study锛�2000~2015 Landsat TM series satellite data along with fine resolution remote sensing images were used to capture information of each 5-year land cover structures in 12 prefecture-level cities of Inner Mongolia Autonomous Region.Subsequently锛宼here land cover information was used to monitor and analyze the spatiotemporal dynamics of urban expansion锛宎nd differences of land cover structures and expansion types.The results showed that锛歩n 2000~2015锛宼he overall changes of land cover structures in 12 prefecture level cities of Inner Mongolia Autonomous Region were rapid.Specifically锛宼he urban area expanded by 278.93 km².By comparison锛宼he proportion of urban area expansion in 2010~2015 was 1.61 times and 1.91 times than that of the first two periods (in 2000~2005 and in 2005~2010).Since 2010锛宼he most dramatic changes has been observed.Particularly锛宱bvious urban impervious surface expansion was found.Also urban vegetation showed obviously increased with varying degrees.At the past decade锛寀rban expansion has undergone three stages.Specifically锛宼he main process experienced from urban interior filling to urban interior filling and then to urban extension锛宱f which Baotou and Hulunbeier belonging to the internal filling city.Population growth and socio-economic development are responsible for these differences.

Key words: Urban land cover, Impervious surface, Prefecture-level cities of Inner Mongolia Autonomous Region, Remote sensing

涓浘鍒嗙被鍙�:

TP79

杩熸枃宄�, 鍖℃枃鎱�, 鍏氭檽瀹�, 娼樻稕, 鍒樻浣�. 鍩轰簬閬ユ劅鐨勫唴钂欏彜鍦扮骇甯傚湡鍦拌鐩栫粨鏋勬椂绌哄彉鍖栫壒寰佸垎鏋怺J]. 閬ユ劅鎶�鏈笌搴旂敤, 2019, 34(1): 33-45.

Chi Wenfeng, Kuang Wenhui, Dang Xiaohong, Pan Tao, Liu Zhengjia顎�. Spatio-temporal Characteristics of Urban Land Cover Structures in Prefecture-level Cities of Inner Mongolia Autonomous Region based on Remote Sensing Imagery[J]. Remote Sensing Technology and Application, 2019, 34(1): 33-45.

鍙傝�冩枃鐚�

锛�1锛絋aylor L锛孒ochuli D F.Creating Better Cities锛� How Biodiversity and Ecosystem Functioning Enhance Urban Residents' Wellbeing[J].Urban Ecosystems锛�2015锛�18(3)锛� 747-762.[ZK)] [2]Pickett S A锛孋adenasso M L锛孏rove J M锛宔t al.Urban Ecological Systems锛歋cientific Foundations and a Decade of Progress[J].Journal Environmental Management锛�2011锛�92(3)锛�331-362. [3]Grimm N B锛孎aeth S H锛孏olubiewski N E锛宔t al.Global Change and the Ecology of Cities[J].Science锛�2008锛�319(5864)锛�756-760. [4]Ecosystems and Human Well-being锛欰 Framework for Assessment (Book)[J].Civil Engineering锛�2004锛�42(1)锛�77-101. [5]Chi W F锛孲hi W J锛孠uang W H.Spatio-temporal Characteristics of Intra-urban Land Cover in the Cities of China and USA from 1978 to 2010[J].Journal of Geographical Sciences锛�2015锛�25(1)锛�3-18. [6]Kuang W H锛孡iu J Y锛孼hang Z X锛宔t al.Spatiotemporal Dynamics of Impervious Surface Areas Across China during the Early 21st Century[J].Chinese Science Bulletin锛�2013锛�58(14)锛�1691-1701. [7]Lee J G锛孒eaney J P.Estimation of Urban Imperviousness and Its Impacts on Storm Water Systems[J].Journal of Water Resources Planning and Management锛�2003锛�129(5)锛�419-426. [8]Seto K C锛孲hepherd J M.Global Urban Land-use Trends and Climate Impacts[J].Current Opinion in Environmental Sustainability锛�2009锛�1(1)锛�89-95. [9]Zhang C锛孴ian H锛孋hen G锛宔t al.Impacts of Urbanization on Carbon Balance in Terrestrial Ecosystems of the Southern United States[J].Environmental Pollution锛�2012锛�164锛�89-101. [10]Kuang W锛孋hi W锛孡u D锛宔t al.A Comparative Analysis of Megacity Expansions in China and the US锛歅atterns锛孯ates and Driving Forces[J].Landscape and Urban Planning锛�2014锛�132锛�121-135. [11]Richard S.Beijing鈥檚 Marathon Run to Clean Foul Air Nears Finish Line[J].Science锛�2008锛�321(5865)锛�636-637. [12]Normile D.China鈥檚 Living Laboratory in Urbanization[J].Science锛�2008锛�319(5864)锛�740-743. [13]Wu J J.Making the Case for Landscape Ecology an Effective Approach to Urban Sustainability[J].Landscape Journal锛�2008锛�27(1)锛�41-50. [14]Goldbach A锛孠uttler W.Quantification of Turbulent Heat Fluxes for Adaptation Strategies within Urban Planning[J].Int J Climatol锛�2013锛�33锛�143-159. [15]Li J锛孲ong C锛孋ao L锛宔t al.Impacts of Landscape Structure on Surface Urban Heat Islands锛欰 Case Study of Shanghai锛孋hina[J].Remote Sensing of Environment锛�2011锛�115(12)锛�3249-3263. [16]Kuang W H锛孌ou Y Y锛孋hi W F锛宔t al.Quantifying the Heat Flux Regulation of Metropolitan Land-use/land-cover Components by Coupling Remote Sensing-modelling with in Situ Measurement[J].Journal of Geography Research-Atmospheres锛�2015锛�120(1)锛�113-130. [17]RIDD M K.Exploring a V-I-S (Vegetation-Impervious Surface-Soil) Model for Urban Ecosystem Analysis Through Remote Sensing锛欳omparative Anatomy for Cities[J].International Journal of Remote Sens锛�1995锛�16(12)锛�2165-2185. [18]Wu C S锛孧urray A T.Estimating Impervious Surface Distribution by Spectral Mixture Analysis[J].Remote Sensing of Environment锛�2003锛�84锛�493-505. [19]Lu D andWeng Q.Use of Impervious Surface in Urban Land Use Classification[J].Remote Sensing of Environment锛�2006锛�102锛�146-160. [20]Wu C S.Normalized Spectral Mixture Analysis for Monitoring Urban Composition Using ETM+ Imagery[J].Remote Sensing of Environment锛�2004锛�93锛�480-492. [21]Lu D锛孧oran E锛孒etrick S.Detection of Impervious Surface Change with Multitemporal Landsat Images in an Urban-rural Frontier[J].ISPRS Journal of Photogrammetry and Remote Sensing锛�2011锛�66(3)锛�298-306. [22]Zhang Z X锛學ang X锛孼haoX L锛宔t al.A 2010 update of National Land Use/Cover Database of China at 1鈭�100 000 Scale Using Medium Spatial Resolution Satellite Images[J].Remote Sensing of Environment锛�2014锛�149锛�142-154. [23]Liu J Y锛孠uang W H锛孼hang Z X锛宔t al.Spatiotemporal Characteristics锛孭atterns and Causes of Land Use Changes in China Since the Late 1980s[J].Acta Geographica Sinca锛�2014锛�69(1)锛�3-14. [24]Tao Qiuxiang锛孴ao Huaxue锛孼hang Lianpeng.Study on Applying Linear Mixing Spectral Model in Vegetation Classification Using Hyper Spectral Remote Sensing[J].Site Investigation Science and Technology锛�2004锛�(1)锛�21-24.[闄剁棣欙紝闄跺崕瀛︼紝寮犺繛钃�.绾挎�ф贩鍚堝厜璋辨ā鍨嬪湪妞嶈楂樺厜璋遍仴鎰熷垎绫讳腑鐨勫簲鐢ㄧ爺绌禰J].鍕樺療绉戝鎶�鏈紝2004锛�(1)锛�21-24.] [25]Zhang C锛孋hen Y锛孡u D.Mapping the Land-cover Distribution in Arid and Semiarid Urban Landscapes with Landsat Thematic Mapper imagery[J].International Journal of Remote Sensing锛�2015锛�36(17)锛�4483-4500. [26]Pan T锛孡u D锛孼hang C锛宔t al.Urban Land-Cover Dynamics in Arid China based on High-Resolution Urban Land Mapping Products[J].Remote Sensing锛�2017锛�9(7)锛�730. [27]Xu Hanqiu.A Study on Information Extraction of Water Body with the Modified Normalized Difference Water Index (MNDWI)[J].Journal of Remote Sensing锛�2005锛�9(5)锛�589-595.[寰愭兜绉�.鍒╃敤鏀硅繘鐨勫綊涓�鍖栧樊寮傛按浣撴寚鏁�(MNDWI)鎻愬彇姘翠綋淇℃伅鐮旂┒[J].閬ユ劅瀛︽姤锛�2005锛�9(5)锛�589-595.] [28]Stehman S V.Sampling Designs for Accuracy Assessment of Land Cover[J].International Journal of Remote Sensing锛�2009锛�30锛�5243-5272. [29]Zhao S锛孼hou D锛孼hu C锛宔t al.Rates and Patterns of Urban Expansion in China鈥檚 32 Major Cities over the Past Three Decades[J].Landscape Ecology锛�2015锛�30 (8)锛�1541-1559. [30]Xiao R锛孫uyang Z锛孼heng H锛宔t al.Spatial Pattern of Impervious Surfaces and Their Impacts on Land Surface Temperature in Beijing锛孋hina[J].Journal of Environmental Sciences锛�2007锛�19(2)锛�250-256. [31]Weng Q锛孡u D.A Sub-pixel Analysis of Urbanization Effect on Land Surface Temperature and Its Interplay with Impervious Surface and Vegetation Coverage in Indianapolis锛孶nited States[J].International Journal of Applied Earth Observation and Geoinformation锛�2008锛�10(1)锛�68-83. [32]Kuang W锛孡iu J锛孌ong J锛宔t al.The Rapid and Massive Urban and Industrial Land Expansions in China between 1990 and 2010锛欰 CLUD-based Analysis of their Trajectories锛孭atterns锛宎nd Drivers[J].Landscape & Urban Planning锛�2016锛�145(145)锛�21-33. [33]Kuang W锛孡iu J锛孌ong J锛宔t al.The Rapid and Massive Urban and Industrial Land Expansions in China between 1990 and 2010锛欰 CLUD-based Analysis of Their Trajectories锛孭atterns锛宎nd Drivers[J].Landscape & Urban Planning锛�2016锛�145(145)锛�21-33. [34]Kuang W锛孡iu Y锛孌ou Y锛宔t al.What Are Hot and What Are Not in an Urban Landscape锛歈uantifying and Explaining the Land Surface Temperature Pattern in Beijing锛孋hina[J].Landscape Ecology锛�2015锛�30(2)锛�357-373. [35]Dongmei S锛孏uangyi J锛孹udong P锛宔t al.Evaluation on Impact of Artificial Disturbed Underlying Surfaces on Water Retention Function during Urbanization Process[J].Transactions of The Chinese Society of Agricultural Engineering锛�2017锛�33(22)锛�92-102. [36]Lin M锛孋hen C.Application of Fuzzy Models for the Monitoring of Ecologically Sensitive Ecosystems In A Dynamic Semi-arid Landscape from Satellite Imagery[J].Engineering Computations锛�2010锛�27(1)锛�5-19. [37]Lin M锛孋hen C.Application of Fuzzy Models for the Monitoring of Ecologically Sensitive Ecosystems in a Dynamic Semi-arid Landscape from Satellite Imagery[J].Engineering Computations锛�2010锛�27(1)锛�5-19. [38]Zhai Baohui.Ecological Thought Relating to the Fact from Urban Flood to Low Impact Development[J].Acta Ecologica Sinica锛�2016锛�36(16)锛�4949-4951.[缈熷疂杈�.浠庘�滃煄甯傚唴娑濃�濆埌鈥滄捣缁靛煄甯傗�濆紩鍙戠殑鐢熸�佸鎬濊�僛J].鐢熸�佸鎶ワ紝2016锛�36(16)锛�4949-4951.]

[1]	杞︽芳, 鐜嬫捣鑽�, 寰愮幒, 瀛欏磭. PSO-DF:鍩轰簬楂樺厜璋辩殑姘寸ɑ鍙剁墖姘惈閲忎及娴嬫柟娉�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(2): 280-289.
[2]	钁ｇ鏄�, 钂嬫��, 鏉庡畻鍗�, 闄堟磱, 鐜嬪皬鐕�, 鏉ㄩ洩闈�, 鏉庣珷鎴�, 鍒樹簹. 鍩轰簬Sentinel-1鏃跺簭鏁版嵁鐨勭ɑ铏剧敯閬ユ劅璇嗗埆[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(2): 306-314.
[3]	鏋楁鎬�, 姹皬閽�, 姹ょ传闇�, 鏉庤挋钂�, 鍚寸憺濮�, 榛勫痉鍗�. 鍩轰簬闈㈠悜瀵硅薄CNN鍜孯F鐨勪笉鍚岀┖闂村垎杈ㄧ巼閬ユ劅褰卞儚鍐滀笟澶ф鎻愬彇鐮旂┒[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(2): 315-327.
[4]	鐜嬫闇�, 鐜嬮拪, 瀛欎寒, 瀛欐斂, 娈垫ⅵ鐞�, 鐜嬫案鍓�. 鍩轰簬閬ユ劅浣滅墿鍙傝�冩洸绾跨殑榛勫湡楂樺師鑻规灉浜у尯濮嬭姳鏈熺洃娴�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(2): 328-336.
[5]	鍚村彅闃�, 閮戝崥绂�, 姹睙, 鍒樺繝, 涓囩倻, 甯堢邯鍗�. 2022骞存睙瑗跨渷鏋佺骞叉棻瀵规煈姗樼妞嶇粡娴庢崯澶辩殑閬ユ劅璇勪及[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(2): 337-349.
[6]	寮犻獮鏈�, 寮犵户鐪�, 閮濇鐟�, 寮犳湀. 21涓栫邯鍒濇湡涓滃寳鍦板尯鍐滅敯鐗╁�欏姩鎬佸強鍏跺姘斿�欑殑鍝嶅簲[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(2): 350-361.
[7]	鍛ㄥ叴闇�, 鐜嬮娲�, 鏉ㄦ攢. 鍩轰簬鍏夊涓庨浄杈鹃仴鎰熷奖鍍忓崗浣滅殑澶氫簯闆惧尯鍩熷啘浣滅墿淇℃伅鎻愬彇鐮旂┒[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(2): 362-372.
[8]	鏂囨ⅵ杩�, 寮犱寒浜�, 涓囧崕浼�, 浣欏嚒, 閮呬簩閾�, 鏂戒僵鑽�, 鐜嬫案璐�, 瀛欐櫒鏇�. 璺煙鐢熸�佺郴缁熼仴鎰熺洃娴嬪彂灞曡秼鍔垮垎鏋愪笌灞曟湜[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(2): 470-477.
[9]	寮犳収鐞�, 鐜嬪崼鍥�, 鐜嬪缓, 璧垫檽鍥�, 钖勪竴瑙�, 渚壋鍐�. 鍩轰簬閬ユ劅涓嶨IS鎶�鏈殑灞辫タ鐪佺敓鎬佽剢寮辨�ф紨鍙樺垎鏋�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(2): 478-491.
[10]	寮犵亸,寮犲叴璧�,鏉庢寮�,闊╅鎱�,妯婄▼,鏉庤帀,鍙叉,浣曞崜,濮氬墠,鍛ㄩ箯. 闈炰簩娓╁姘斾綋鈥擧FC閬ユ劅鍜岃娴嬬爺绌惰繘灞曠患杩�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(1): 1-10.
[11]	鐜嬩功浼�,鑸掓竻鎬�,椹棴,鑲栧姴妤�,鍛ㄦ枃姝�. 婵�鍏夐浄杈句笌楂樺厜璋辨垚鍍忔妧鏈暟鎹瀺鍚堢爺绌惰繘灞�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(1): 11-23.
[12]	鍏戠传鐠�,鐜嬪嵖,鐜嬫晱,寮犵挓,椤惧�╄崳. 鍩轰簬澶氭簮閬ユ劅鍙婃皵璞℃暟鎹殑娌虫祦闈炲厜瀛︽椿鎬ф按璐ㄥ弬鏁板弽婕旀ā鍨嬬爺绌�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(1): 120-133.
[13]	鐜嬩笣涓�, 鍒樺織鏄�, 寮犳櫙, 寮犺繛缈�. 鐏惧搴旀�ュ搷搴斾腑澶氭簮閬ユ劅鏁版嵁鍥介檯鍏变韩鏈嶅姟鐮旂┒[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(1): 198-208.
[14]	鍗㈠織鍒�,闄堣姵娣�,琚佽秴,鐢颁害闄�,闄堝己,鏂囩編骞�,灏归敶,鏉ㄥ厜. 閲囩敤I-PSPNet璇箟鍒嗗壊妯″瀷鐨勯珮鍒嗚鲸鐜囬仴鎰熷奖鍍忔煇鐗圭妞嶇墿绉嶆鍦板潡鎻愬彇鐮旂┒[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(1): 222-233.
[15]	涔屽凹涔�,鍖呯帀榫�,甯冧粊鍥鹃泤,鍥惧竷鏂板反闆呭皵,闄惰禌鍠滈泤鎷夊浘,鍖呯帀娴�,閲戦灏斿痉鏈ㄥ悙. 鍩轰簬鏃犱汉鏈洪珮鍏夎氨閬ユ劅鐨勫吀鍨嬭崏鍘熼��鍖栨寚绀虹璇嗗埆[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(1): 248-258.

鍩轰簬閬ユ劅鐨勫唴钂欏彜鍦扮骇甯傚湡鍦拌鐩栫粨鏋勬椂绌哄彉鍖栫壒寰佸垎鏋�

Spatio-temporal Characteristics of Urban Land Cover Structures in Prefecture-level Cities of Inner Mongolia Autonomous Region based on Remote Sensing Imagery

PDF (PC)

鍙鍖�

鎽樿/Abstract

寮曠敤鏈枃

浣跨敤鏈枃

鍙傝�冩枃鐚�

鐩稿叧鏂囩珷 15

缂栬緫鎺ㄨ崘

Metrics

鏈枃璇勪环