| 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 |
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| 引用本文： | 徐红枫,,王 妍,,刘云根,,肖羽芯,,黎 舟,.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[J].水土保持研究,2022,29(4):407-414. |
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| 作者姓名： | 徐红枫 王 妍 刘云根 肖羽芯 黎 舟 |
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| 作者单位： | (1.西南林业大学, 昆明 650224; 2.云南省山地农村生态环境演变与污染治理重点实验室, 昆明 650224) |
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| 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。
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| 关 键 词： | 岩溶 石漠化 GEE 地理探测器 驱动因子 |
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 |
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| XU Hongfeng,,WANG Yan,,LIU Yungen,,XIAO Yuxin,,LI Zhou,.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(4):407-414. |
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| Authors: | XU Hongfeng WANG Yan LIU Yungen XIAO Yuxin LI Zhou |
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| Institution: | (1.Southwest Forestry University, Kunming 650224, China; 2.Key Laboratory of Ecological Environment Evolution and Pollution Control in Mountainous Rural Areas of Yunnan Province, Kunming 650224, China) |
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| 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. |
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| Keywords: | karst rocky desertification GEE geographic detector driving factor |
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