Study on monitoring rocky desertification based on the combination of remote sensing interpretation and geographical conditions

doi:10.13474/j.cnki.11-2246.2020.0057

Abstract

Abstract: Considering the complexity of the surface rocky desertification, drawing on the evaluation methods of the state and degree of the rocky desertification of the forestry department, making full use of the results of the geographical conditions of the land surface coverage and DEM, combining with the remote sensing monitoring technology to calculate the comprehensive coverage of the bedrock and vegetation on the surface, taking the field investigation as the evidence, obtaining the monitoring and evaluation factors of the rocky desertification in the study area, and determining the state and degree of the rocky desertification in the study area, a set of rock desertification monitoring technology is constructed based on remote sensing interpretation. The results show that from 2008 to 2016, the occurrence rate of rocky desertification in the study area has decreased significantly, and the regional ecological environment has been gradually restored. The technical methods of this study are feasible, and on the basis of saving human resources, the status and degree of rocky desertification can be quickly obtained.

Key words: remote sensing interpretation, geographical conditions, rocky desertification, percentage of bare rocks, vegetation coverage

CLC Number:

P208

LI Wei, WEI Man. Study on monitoring rocky desertification based on the combination of remote sensing interpretation and geographical conditions[J]. Bulletin of Surveying and Mapping, 2020, 0(2): 121-125.

References

[1] 况顺达,戴传固,王尚彦,等.岩溶石漠化遥感信息增强技术探讨[J].贵州地质,2009,26(1):44-48.
[2] 陈起伟.贵州岩溶地区石漠化时空变化规律及发展趋势研究[D].贵阳:贵州师范大学,2009:38-42.
[3] 喻琴.基于决策树模型的喀斯特石漠化光谱信息自动提取研究[D].贵阳:贵州师范大学,2009:54-64.
[4] 段锦.遥感和地理信息技术在石漠化研究中的应用[J].黑龙江生态工程职业学院学报,2009,22(1):9-10.
[5] 王晓红,刘耀林,彭恢铭.应用RS和GIS技术监测石漠化的研究[J].中国水土保持,2006,2006(5):47-50.
[6] 王金华,李森,李辉霞,等.石漠化土地分级指征及其遥感影像特征分析——以粤北岩溶山区为例[J].中国沙漠,2007,27(5):765-769.
[7] 李朝阳,况顺达,李志忠,等.喀斯特石漠化遥感信息增强与监测技术[J].桂林工学院学报,2007,27(1):30-35.
[8] 陈起伟,兰安军,熊康宁,等.基于遥感光谱特征的喀斯特石漠化信息提取[J].贵州师范大学学报(自然科学版),2003,21(4):82-87.
[9] 麦格,廖冬卉.广西大化县喀斯特石漠化的状况及影响因素分析[J].广西师范学院学报(自然科学版),2015,32(2):66-71.
[10] 胡顺光,张增祥,夏奎菊.遥感石漠化信息提取[J].地球信息科学学报,2010,12(6):870-879.
[11] 杨奇勇,蒋忠诚,马祖陆,等.基于地统计学和遥感的岩溶区石漠化空间变异特征[J].农业工程学报,2012,28(4):243-247.
[12] 童立强.西南岩溶石山地区石漠化信息自动提取技术研究[J].国土资源遥感,2003,15(4):35-38,77.
[13] 李丽,童立强,李小慧.基于植被覆盖度的石漠化遥感信息提取方法研究[J].国土资源遥感,2010(2):59-62.
[14] 叶娇珑,何政伟,翁中银,等.NDVI像元二分模型在喀斯特地区提取石漠化中的应用[J].地理空间信息,2012,10(4):134-136,183.
[15] 马志勇,沈涛,张军海,等.基于植被覆盖度的植被变化分析[J].测绘通报,2007(3):45-48.