缅甸土地覆被遥感制图和空间格局分析

赵辉; 王泽根; 雷光斌; 边金虎; 李爱农

doi:10.11873/j.issn.1004-0323.2022.1.0148

閬ユ劅鎶�鏈笌搴旂敤鈥衡�� 2022, Vol. 37 鈥衡�� Issue (1): 148-160.DOI: 10.11873/j.issn.1004-0323.2022.1.0148

鈥� 闈掍績浼氬崄鍛ㄥ勾涓撴爮鈥� 涓婁竴绡� 涓嬩竴绡�

缂呯敻鍦熷湴瑕嗚閬ユ劅鍒跺浘鍜岀┖闂存牸灞�鍒嗘瀽

璧佃緣^1,³(),鐜嬫辰鏍�²,闆峰厜鏂�³,杈归噾铏�³,鏉庣埍鍐�³

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^3.涓浗绉戝闄€�佹按鍒╅儴鎴愰兘灞卞湴鐏惧涓庣幆澧冪爺绌舵墍锛屽洓宸� 鎴愰兘 610041

鏀剁鏃ユ湡:2021-02-05 淇洖鏃ユ湡:2021-12-21 鍑虹増鏃ユ湡:2022-02-20 鍙戝竷鏃ユ湡:2022-04-08
閫氳浣滆��: 闆峰厜鏂�
浣滆�呯畝浠�:璧佃緣锛�1996-锛夛紝鐢凤紝鍥涘窛姹熸补浜猴紝纭曞＋鐮旂┒鐢�,涓昏浠庝簨鍦熷湴鍒╃敤/瑕嗚閬ユ劅鐩戞祴鐮旂┒銆侲?mail: zhaohuixs@163.com
鍩洪噾璧勫姪:
涓浗绉戝闄㈡垬鐣ユ�у厛瀵肩鎶�涓撻」瀛愯棰�(XDA19030303);鍥藉鑷劧绉戝鍩洪噾椤圭洰(41701433);绗簩娆￠潚钘忛珮鍘熺患鍚堣�冨療鐮旂┒椤圭洰(2019QZKK0308)

Land Cover Mapping and Spatial Pattern Analysis with Remote Sensing in Myanmar

Hui Zhao^1,³(),Zegen Wang²,Guangbin Lei³,Jinhu Bian³,Ainong Li³

^1.School of Civil Engineering and Geomatics锛孲outhwest Petroleum University锛孋hengdu 610500锛孋hina
^2.College of Geosciences and Technology锛孲outhwest Petroleum University锛孋hengdu 610500锛孋hina
^3.Institute of Mountain Hazards and Environment锛孋hinese Academy of Sciences锛孋hengdu 610041锛孋hina

Received:2021-02-05 Revised:2021-12-21 Online:2022-02-20 Published:2022-04-08
Contact: Guangbin Lei

鎽樿/Abstract

鎽樿锛�

鍦ㄢ�滀竴甯︿竴璺�濆�¤妗嗘灦涓嬶紝涓紖缁忔祹璧板粖閫愭浠庢蹇佃浆鍏ュ疄璐ㄨ鍒掑缓璁鹃樁娈碉紝浜嗚В鍜屾帉鎻＄紖鐢稿湡鍦拌琚殑绌洪棿鏍煎眬鍜屽垎甯冪壒寰佸浜庡悎鐞嗗紑鍙戝埄鐢ㄨ祫婧愩�佸埗瀹氬姟瀹炵殑缁忔祹寤婇亾寤鸿瑙勫垝鍏锋湁閲嶈鐨勬垬鐣ユ剰涔夈�傚埄鐢↙andsat-8 OLI閬ユ劅褰卞儚鏁版嵁锛屽熀浜庡鍒嗙被鍣ㄩ泦鎴愮殑闈㈠悜瀵硅薄杩唬鍒嗙被鏂规硶锛圤IC-MCE锛夛紝鐢熶骇浜嗙紖鐢�2015骞�30 m鍒嗚鲸鐜囧湡鍦拌琚骇鍝侊紙MyanmarLC-2015锛夈�傞噰鐢℅oogle Earth楂樺垎杈ㄧ巼褰卞儚鑾峰彇楠岃瘉鏍锋湰鐢ㄤ簬浜у搧绮惧害楠岃瘉锛岄獙璇佺粨鏋滆〃鏄庯細MyanmarLC-2015浜у搧鐨勬�讳綋鍒嗙被绮惧害涓�89.05%锛孠appa绯绘暟涓�0.87锛屽悇绫诲埆鐨勭敤鎴风簿搴﹀拰鍒跺浘绮惧害鍧囪秴杩�72%锛岃兘澶熷噯纭湴鍙嶆槧缂呯敻鍦熷湴瑕嗚绫诲瀷鐨勭┖闂存牸灞�銆傛牴鎹骇鍝佺粺璁★紝鏋楀湴鏄紖鐢搁潰绉渶澶х殑鍦熷湴瑕嗚绫诲瀷锛屽崰鍥藉湡闈㈢Н56.15%锛屼互甯哥豢闃斿彾鏋椾负涓伙紝鍗犳灄鍦伴潰绉�83.57%銆傝�曞湴闈㈢Н娆′箣锛屽崰鍥藉湡闈㈢Н27.01%銆傚湴褰㈠洜瀛愬缂呯敻鍦熷湴瑕嗚绫诲瀷绌洪棿鍒嗗竷鏍煎眬鏈夋樉钁楃殑褰卞搷锛岄殢鐫�娴锋嫈鍗囬珮锛屽憟鐜板嚭鎸夊涓嬮『搴忕殑鍨傜洿鍦板甫鎬х壒寰侊細妫灄婀垮湴銆佹按鐢般�佹棻鍦般�佽惤鍙剁亴鏈ㄦ灄銆佽惤鍙堕様鍙舵灄銆佸父缁跨亴鏈ㄦ灄銆佸父缁块様鍙舵灄銆佸父缁块拡鍙舵灄銆備粠妞嶈鐢熶骇鍔涚殑瑙掑害鏉ョ湅锛岀紖鐢镐笢閮ㄣ�佷笢鍖楅儴鍜屼笢鍗楅儴妞嶈NPP鏈�澶э紝涓儴骞叉棻鍦板尯鍜屽崡閮ㄤ紛娲涚摝搴曟睙涓夎娲叉琚玁PP杈冧綆銆傜紖鐢�2015骞存琚钩鍧囧噣鍒濈骇鐢熶骇鍔涗腑甯哥豢鏋楀湴绫诲瀷楂樹簬钀藉彾鏋楀湴锛岄様鍙舵灄鐨勯珮浜庣亴鏈ㄦ灄锛岃�曞湴涓棻鍦扮敓浜у姏楂樹簬姘寸敯銆�

鍏抽敭璇�: 缂呯敻, 鍦熷湴瑕嗚, 閬ユ劅, 绌洪棿鏍煎眬, 妞嶈鍑�鍒濈骇鐢熶骇鍔涳紙NPP锛�

Abstract:

Under the framework of the "Belt and Road" initiative锛� the China-Myanmar Economic Corridor has gradually moved from planning to substantive construction. Understanding the spatial pattern and distribution characteristics of land cover in Myanmar is of great strategic significance for the rational exploitation and utilization of resources and the planning of economic corridor construction. In this paper锛� a 30m resolution land cover product of Myanmar in 2015 锛坔ereinafter referred to as the MyanmarLC-2015锛� was produced using Landsat8 OLI remote sensing images锛� based on the Object-oriented Iterative Classification method based on Multiple Classifiers Ensemble 锛圤IC-MCE锛�. Besides锛� the accuracy validation of the MyanmarLC-2015 was conducted by using samples obtained from high-resolution Google Earth imagery. The verification results show that the overall classification accuracy of MyanmarLC-2015 product is 89.05%锛� the Kappa coefficient is 0.87锛� which can accurately reflect the spatial distribution characteristics of land cover in Myanmar. According to statistics锛� forest is the major land cover class in Myanmar锛� accounting for 56.15% of the total land area of Myanmar. The cultivated land area followed锛� accounting for 27.01% of the total land area. Combined with topographic factors锛� we know that with the increase of altitude锛� the appearance pattern of the typical land cover classes is tree wetlands锛� paddy fields锛� dry lands锛� deciduous shrublands锛� deciduous broadleaf forests锛� evergreen shrublands锛� evergreen broadleaf forests锛� and evergreen needleleaf forests. From the perspective of vegetation productivity锛� the NPP of vegetation is the largest in the eastern锛� northeastern and southeastern parts of Myanmar锛� while it is lower of vegetation in the central arid region and the southern Irrawaddy Delta. In 2015锛� the average of Net Primary Productivity for vegetation in Myanmar was higher in evergreen forest than deciduous forest锛� broad-leaved forest higher than shrub forest锛� and the productivity of dry land in cultivated land higher than paddy field.

Key words: Myanmar, Land cover, Remote sensing, Spatial pattern, Net Primary Productivity 锛圢PP锛�

涓浘鍒嗙被鍙�:

P237

璧佃緣,鐜嬫辰鏍�,闆峰厜鏂�,杈归噾铏�,鏉庣埍鍐�. 缂呯敻鍦熷湴瑕嗚閬ユ劅鍒跺浘鍜岀┖闂存牸灞�鍒嗘瀽[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2022, 37(1): 148-160.

Hui Zhao,Zegen Wang,Guangbin Lei,Jinhu Bian,Ainong Li. Land Cover Mapping and Spatial Pattern Analysis with Remote Sensing in Myanmar[J]. Remote Sensing Technology and Application, 2022, 37(1): 148-160.

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缂呯敻鍦熷湴瑕嗚閬ユ劅鍒跺浘鍜岀┖闂存牸灞�鍒嗘瀽

Land Cover Mapping and Spatial Pattern Analysis with Remote Sensing in Myanmar

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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

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