XU Hongfeng,WANG Yan,LIU Yungen,et al.Analysis of the Spatial and Temporal Evolution and Driving Factors of Rocky Desertification in Typical Cluster Depression Areas in the Past 30 Years Based on Google Earth Engine[J].Research of Soil and Water Conservation,2022,29(04):407-414.
基于Google Earth Engine的典型峰丛洼地石漠化时空演变与驱动因子分析——以西畴县为例
- Title:
- Analysis of the Spatial and Temporal Evolution and Driving Factors of Rocky Desertification in Typical Cluster Depression Areas in the Past 30 Years Based on Google Earth Engine
- 文章编号:
- 1005-3409(2022)04-0407-08
- Keywords:
- karst; rocky desertification; GEE; geographic detector; driving factor
- 分类号:
- P931.5
- 文献标志码:
- A
- 摘要:
- 石漠化是岩溶地区阻碍经济可持续发展、影响生态环境的重大问题,随着近几十年石漠化治理的开展,石漠化扩张的趋势已经得到了极大遏制。以我国典型峰丛洼地地貌的云南省文山州西畴县为研究区,基于遥感云计算平台Google Earth Engine(GEE)以1990年、2000年、2010年、2020年四期Landsat遥感影像为数据源,利用转移矩阵分析西畴县近30年石漠化动态变化,并采用地理探测器分析了西畴县石漠化形成的驱动因子。主要结论如下:(1)30年间西畴县石漠化演变总体呈现先小幅减少,再扩张,然后大幅减少的趋势,从时间上来看1990—2000年,石漠化类型转变主要是轻度和潜在石漠化向无石漠化转移,2000—2010年石漠化类型转变主要是无石漠化向潜在和轻度石漠化转移,2010—2020年石漠化类型转变主要是潜在、轻度和中度石漠化向无石漠化转移; 从空间上来看,西畴县石漠化分布北重南轻,在石漠化治理成效上,整体都呈现好转,石漠化改善面积为850.183 km2,在莲花塘乡西北部、新马街乡的东北部、鸡街乡和西洒镇的交界处也存在零星恶化,恶化面积为51.715 km2。(2)1990—2020年30年间,西畴县石漠化治理取得了巨大成效,到2020年西畴县无石漠化土地面积已经达到940.854 km2,共有648.476 km2的石漠化土地转化成无石漠化土地;(3)地理探测器分析结果表明西畴县石漠化形成的主要驱动因子为坡度和GDP交互作用(q=0.645),人口密度和GDP交互作用(q=0.639)这两对组合。(4)通过编程在遥感计算云平台Google Earth Engine(GEE)上在线获取和处理遥感数据,可以较大限度地提高工作效率。利用云计算实现石漠化表征因子的提取,解决相关地学问题,可为后续相关研究提供强有力的技术支撑。
- Abstract:
- Rocky desertification is a major problem that hinders sustainable economic development and affects the ecological environment in karst areas. With the development of rocky desertification control in recent decades, the trend of rocky desertification expansion has been greatly curbed. This study used China's typical peak cluster depression landforms in Xichou County, Wenshan Prefecture, Yunnan Province as the research area. Based on the remote sensing cloud computing platform Google Earth Engine(GEE)on the four phases of Landsat remote sensing image data sources in 1990, 2000, 2010, and 2020, the transfer matrix was used to analyze the dynamic changes of rocky desertification in Xichou County in the past 30 years, and geographic detectors was used to analyze the driving factors of rocky desertification in Xichou County. The main conclusions are as follows.(1)In 30 years, the overall evolution of rocky desertification in Xichou County showed a slight decrease, then expansion, and then a significant decrease. From a temporal perspective of 1990—2000, the type of rocky desertification mainly shifted from mild and potential rocky desertification to non-rocky desertification. In the period of 2000—2010, the type of rocky desertification mainly shifted from non-rocky desertification to potential and mild rocky desertification. From 2010 to 2020, the of rocky desertification type mainly shifted from potential, light and moderate rocky desertification to non-rocky desertification. From a spatial point of view, the distribution of rocky desertification in Xichou County was more important in the north than in the south. In terms of the effectiveness of rocky desertification control, the overall improvement had been shown. The area of rocky desertification improvement is 850.183 km2. There was also sporadic deteriorated land in the northwest of Lianhuatang Township, the northeast of and Xinmajie Township, and at the junction of Jujie Township and Xisa Town, with a deteriorated land area of 51.715 km2.(2)From 1990 to 2020, the control of rocky desertification in Xichou County had made a great achievement. By 2020, the area of rocky desertification-free land in Xichou County had reached up to 940.854 km2, and a total of 648.476 km2 of rocky desertification land had been converted into no rocky desertification land.(3)Geographic detector analysis results show that the main driving factors of rocky desertification in Xichou County are the interaction between slope and GDP(q=0.645), and the interaction between population density and GDP(q=0.639).(4)Work efficiency can be greatly improved by programming on the remote sensing computing cloud platform Google Earth Engine(GEE)to acquire and process remote sensing data online. The use of cloud computing to extract the characterizing factors of rocky desertification and solve related geological problems can provide strong technical support for subsequent related research.
参考文献/References:
[1] Jiang Z, Lian Y, Qin X. Rocky desertification in southwest China: Impacts, Causes, and restoration[J]. Earth-Science Reviews, 2014,132(3):1-12.
[2] 曹伟超,陶和平,孔博,等.利用最佳地形特征空间进行地貌形态自动识别:以西南地区为例[J].武汉大学学报:信息科学版,2011,36(11):1376-1380.
[3] 钱庆欢,王世杰,白晓永,等.基于允许流失量和正负地形源汇理论的喀斯特关键带土壤侵蚀研究[J].地理学报,2018,73(11):2135-2149.
[4] 张殿发,欧阳自远,王世杰.中国西南喀斯特地区人口、资源、环境与可持续发展[J].中国人口·资源与环境,2001,11(1):77-81.
[5] 王宇,张华,张贵,等.云南省石漠化调查及治理综述[J].中国岩溶,2016,35(5):486-496.
[6] 马国璇,周忠发,朱昌丽,等.石漠化地区农户生计资本与生计策略的关系:以贵州省关岭贞丰花江石漠化综合示范区为例[J].水土保持通报,2020,40(2):305-313.
[7] 苏旺德,史正涛,刘钢.基于RS和GIS的南汀河流域石漠化评价[J].中国岩溶,2016,35(5):594-601.
[8] 罗旭玲,王世杰,白晓永,等.西南喀斯特地区石漠化时空演变过程分析[J].生态学报,2021,41(2):680-693.
[9] 李阳兵,罗光杰,程安云,等.黔中高原面石漠化演变典型案例研究:以普定后寨河地区为例[J].地理研究,2013,32(5):828-838.
[10] 王正雄,蒋勇军,张远嘱,等.基于GIS与地理探测器的岩溶槽谷石漠化空间分布及驱动因素分析[J].地理学报,2019,74(5):191-205.
[11] 张滔,唐宏.基于Google Earth Engine的京津冀2001—2015年植被覆盖变化与城镇扩张研究[J].遥感技术与应用,2018,33(4):593-599.
[12] Liu X, Hu G, Chen Y, et al. High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform[J]. Remote Sensing of Environment, 2018,209:227-239.
[13] 刘拓.中国岩溶石漠化:现状,成因与防治[M].北京:中国林业出版社,2009.
[14] 宗加权,白淑英,冯朝阳,等.基于连续时间序列NDVI数据的中国生态状况时空变化特征[J].水土保持研究,2021,28(1):136-142.
[15] 陈晋,陈云浩,何春阳,等.基于土地覆盖分类的植被覆盖率估算亚像元模型与应用[J].遥感学报,2001(6):416-422,481.
[16] 王明明,王世杰,白晓永,等.典型小流域喀斯特石漠化演变特征及其关键表征因子与驱动因素[J].生态学报,2019,39(16):6083-6097.
[17] 张晓伦,甘淑.基于NDRI像元二分模型的石漠化信息提取研究[J].新技术新工艺,2014(1):72-75.
[18] 徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报,2005,9(5):79-85.
[19] 查勇,倪绍祥,杨山.一种利用TM图像自动提取城镇用地信息的有效方法[J].遥感学报,2003(1):37-40,82.
[20] 刘玉芳,刘定生.利用纹理特征提取城市用地信息方法探索[J].测绘科学,2005(4):46-47.
[21] 熊康宁.喀斯特石漠化的遥感―GIS典型研究:以贵州省为例[M].北京:地质出版社,2002.
[22] 习慧鹏,王世杰,白晓永,等.西南典型喀斯特地区石漠化时空演变特征:以贵州省普定县为例[J].生态学报,2018,38(24):8919-8933.
[23] 王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.
[24] 裴杰,牛铮,王力,等.基于Google Earth Engine云平台的植被覆盖度变化长时间序列遥感监测[J].中国岩溶,2018,37(4):608-616.
[25] 陈黔,李晓松,修晓敏,等.基于Google Earth Engine与机器学习的大尺度30 m分辨率沙地灌木覆盖度估算[J].生态学报,2019,39(11):4056-4069.
[26] 尹林江,周忠发,朱昌丽,等.喀斯特石漠化及土地利用变化的地貌分异特征:以贵州省关岭贞丰花江石漠化综合示范区为例[J].水土保持通报,2020,40(2):43-52.
[27] 陈进豪,范弢,户红红.滇东海峰岩溶盆地石漠化坡地土壤机械组成和有机碳的变化特征[J].水土保持通报,2020,40(5):39-45.
[28] 陈金珂,蒲俊兵,李建鸿,等.典型岩溶流域不同坡度等级下的土壤侵蚀与石漠化分布特征耦合分析[J].水土保持研究,2020,27(5):1-9.
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备注/Memo
收稿日期:2021-06-07 修回日期:2021-06-27
资助项目:国家自然科学基金(31760245); 云南省科技计划项目(2019FD073)
第一作者:徐红枫(1997—),男,浙江衢州人,在读硕士,主要从事水土保持研究。E-mail:861859136@qq.com
通信作者:王妍(1980—),女,河北承德人,博士,副教授,主要从事脆弱生态系统恢复研究。E-mail:wycaf@126.com