利用MODIS NDVI进行淮南矿区植被覆盖度动态监测
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摘要
为了分析2005—2014年10年间淮南矿区的植被覆盖演化并为矿区生态恢复提供科学参考,基于像元二分模型并利用每16 d周期的MODIS NDVI时间序列产品提取了2005年、2008年、2011年、2014年淮南矿区植被覆盖度,并从时序演化、数量转移和空间演化3个方面分析了植被覆盖的时空演化特征。结果表明:监测时段内年际NDVI均值由2005—2008年呈下降趋势,2008—2015年呈现稳步上升趋势;监测时间内区域平均植被覆盖度分别为0.722 3、0.701 7、0.718 1和0.702 8,平均减幅为2.7%;较高植被覆盖的面积是区域内主导植被覆盖,占整个研究区面积的50%,中、低和无植被覆盖面积在监测时间内保持稳定且面积均不足200 km2,表明植被覆盖状况总体良好;植被覆盖等级转化主要以高覆盖和较高覆盖之间的转化为主,稳定是植被覆盖的主要演化状态,而植被的轻度退化与交替演变趋势明显。
The aim of this research is to analyze the evolution of vegetation cover in the Huainan mining area during the period of2005—2014 and provide scientific references for the ecological restoration of the mining area. Based on the dimidiate pixel model and the MODIS NDVI time series products obtained every 16 days,the vegetation coverage of 2005,2008,2011 and 2014 in Huainan mining area was extracted. The temporal and spatial evolution characteristics of vegetation cover were analyzed from three aspects: temporal evolution,quantity transfer and spatial evolution.The results show that the average NDVI in the monitoring period decreased from 2005 to 2008 and increased from 2008 to 2015.The average vegetation coverage in the monitoring period was 0.722 3,0.701 7,0.718 1 and0.702 8,respectively,with the average decrease rate of 2. 7%. The area covered by the higher vegetation was the dominant vegetation cover in the study area,accounting for 50% of the total area of the study area,while the medium,low and no vegetation cover area was stable in the monitoring time,with their areas less than 200 km2,indicating the vegetation cover was generally in good condition.The transformation of vegetation cover was mainly dominated by the transformation between the relatively high coverage and high coverage.The stability condition was the main evolution direction of vegetation cover,while the alternation between mild degradation and mild improvement of vegetation were obvious.
The aim of this research is to analyze the evolution of vegetation cover in the Huainan mining area during the period of2005—2014 and provide scientific references for the ecological restoration of the mining area. Based on the dimidiate pixel model and the MODIS NDVI time series products obtained every 16 days,the vegetation coverage of 2005,2008,2011 and 2014 in Huainan mining area was extracted. The temporal and spatial evolution characteristics of vegetation cover were analyzed from three aspects: temporal evolution,quantity transfer and spatial evolution.The results show that the average NDVI in the monitoring period decreased from 2005 to 2008 and increased from 2008 to 2015.The average vegetation coverage in the monitoring period was 0.722 3,0.701 7,0.718 1 and0.702 8,respectively,with the average decrease rate of 2. 7%. The area covered by the higher vegetation was the dominant vegetation cover in the study area,accounting for 50% of the total area of the study area,while the medium,low and no vegetation cover area was stable in the monitoring time,with their areas less than 200 km2,indicating the vegetation cover was generally in good condition.The transformation of vegetation cover was mainly dominated by the transformation between the relatively high coverage and high coverage.The stability condition was the main evolution direction of vegetation cover,while the alternation between mild degradation and mild improvement of vegetation were obvious.
引文
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[2]BIAN Z F,DONG J H,LEI S G,et al.The Impact of Disposal and Treatment of Coal Mining Wastes on Environment and Farmland.[J].Environmental Geology,2009,58(3):625-634.
[3]BIAN Z,INYANG H I,DANIELS J L,et al.Environmental Issues from Coal Mining and Their Solutions[J].Mining Science&Technology,2010,20(2):215-223.
[4]陈华丽,陈刚,李敬兰,等.湖北大冶矿区生态环境动态遥感监测[J].资源科学,2004,26(5):132-138.
[5]周春兰,张秋劲,徐亮,等.遥感技术在攀枝花矿区生态环境监测中的应用[J].四川环境,2012,31(S0):23-27.
[6]李学渊,赵博,陈时磊,等.基于遥感与GIS的矿山地质环境时空演变分析——以东胜矿区为例[J].国土资源遥感,2015,27(2):167-173.
[7]MONJEZI M,SHAHRIAR K,DEHGHANI H,et al.Environmental Impact Assessment of Open Pit Mining in Iran[J].Environmental Geology,2009,58(1):205-216.
[8]CHAROU E,STEFOULI M,DIMITRAKOPOULOS D,et al.Using Remote Sensing to Assess Impact of Mining Activities on Land and Water Resources[J].Mine Water and the Environment,2009,29(1):45-52.
[9]ERENER A.Remote Sensing of Vegetation Health for Reclaimed Areas of Seyit9mer Open Cast Coal Mine[J].International Journal of Coal Geology,2011,86(1):20-26.
[10]姚峰,古丽·力帕尔,包安明,等.基于遥感技术的干旱荒漠区露天煤矿植被群落受损评估[J].中国环境科学,2013,33(4):707-713.
[11]崔龙鹏.对淮南矿区采煤沉陷地生态环境修复的思考[J].中国矿业,2007,16(6):46-48,52.
[12]葛沭锋,王晓辉,耿宜佳.淮南矿区沉陷地生态治理研究[J].安徽农业科学,2015,43(4):271-274.
[13]范忻,汪云甲,张书建.淮南矿区土地利用变化遥感监测及驱动力分析[J].矿业研究与开发,2012,32(4):81-84.
[14]汪炜,汪云甲,张业,等.基于GIS和RS的矿区土壤侵蚀动态研究[J].煤炭工程,2011,(11):120-122.
[15]黄家政,赵萍,郑刘根,等.淮南矿区土地利用/覆盖时空变化特征及预测[J].合肥工业大学学报(自然科学版),2014,37(8):981-986.
[16]王晓辉,耿佳怡.淮南煤矿区土地利用变化分析[J].安徽农业科学,2015,43(36):295-298.
[17]李苗苗.植被覆盖度的遥感估算方法研究[D].北京:中国科学院研究生院遥感应用研究所,2003.
[18]丁美青,陈松岭,郭云开.基于遥感的土地复垦植被覆盖度评价[J].中国土地科学,2009,23(11):72-75.
[19]彭道黎,滑永春.北京延庆县植被恢复动态遥感监测研究[J].中南林业科技大学学报,2008,28(4):159-164.
[20]李琳.北京郊区植被覆盖度变化动态遥感监测[D].北京:北京林业大学,2008.
[21]河保偏矿区植被覆盖度演变趋势与驱动力分析[D].太原:山西大学,2012.