基于RS和GIS的甘南县2006—2016年植被覆盖度时空演变分析
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摘要
基于2006、2011和2016年的Landsat TM/OLI影像数据,反演农牧过渡区植被覆盖度。借助于RS和GIS技术,以黑龙江省甘南县为研究对象,采用归一化植被指数及像元二分模型,定量获取研究区域植被覆盖度,基于转移矩阵模型定量分析10年间植被覆盖度时空变化特征和演变进程。结果表明,研究区植被覆盖度整体状况较好,2006、2011、2016年3期数据高覆盖度和中高覆盖度面积比例之和分别为87.29%、87.18%和87.10%。2006—2011年植被覆盖度主要由高覆盖度和中覆盖度转换为中高覆盖度,转换率分别为76.83%和55.49%,2011—2016年中高覆盖度和高覆盖度之间转换强烈,相互间的转换率分别为10.87%和83.00%。10年间,2006—2011、2006—2016年植被变化稳定区的面积比例分别为64.32%和65.54%。2011—2016年较2006—2011年植被退化面积减少257 km~2,植被改善面积增加199 km~2,植被仍以退化为主。
In order to invert the vegetation coverage of the farming-pastoral transition zone by using the Landsat TM/OLI image data of 2006, 2011 and 2016,the Gannan county of Heilongjiang province was taken as the study region, based on the RS and GIS technology, the models of normalized difference vegetation index(NDVI) and dimidiate pixel were quantitatively obtained the vegetation coverage of the study area, and the transfer matrix model was used to analyze the temporal and spatial variation characteristics and evolution process of vegetation coverage within 10 years. The results showed that the overall coverage of vegetation cover in the study area was good. The sum of the data coverage and the medium-high coverage area of the three phases in 2006,2011,2016 was 87.29%,87.18% and 87.10%, respectively. In 2006—2011, the vegetation coverage was mainly converted from high coverage and middle coverage to medium and high coverage, and the conversion rates was 76.83% and 55.49%, respectively. In 2011—2016, the conversion between medium and high coverage and high coverage was strong, and the conversion rate was 10.87% and 83.00%, respectively. In the past 10 years, the area ratio of the vegetation change stable area was 64.32% and 65.54%, respectively. 2011—2016 compared with 2006—2011, the area of vegetation degradation decreased by 257 km~2, while the area of vegetation improvement increased by 199 km~2, and the vegetation was still dominated by degradation.
In order to invert the vegetation coverage of the farming-pastoral transition zone by using the Landsat TM/OLI image data of 2006, 2011 and 2016,the Gannan county of Heilongjiang province was taken as the study region, based on the RS and GIS technology, the models of normalized difference vegetation index(NDVI) and dimidiate pixel were quantitatively obtained the vegetation coverage of the study area, and the transfer matrix model was used to analyze the temporal and spatial variation characteristics and evolution process of vegetation coverage within 10 years. The results showed that the overall coverage of vegetation cover in the study area was good. The sum of the data coverage and the medium-high coverage area of the three phases in 2006,2011,2016 was 87.29%,87.18% and 87.10%, respectively. In 2006—2011, the vegetation coverage was mainly converted from high coverage and middle coverage to medium and high coverage, and the conversion rates was 76.83% and 55.49%, respectively. In 2011—2016, the conversion between medium and high coverage and high coverage was strong, and the conversion rate was 10.87% and 83.00%, respectively. In the past 10 years, the area ratio of the vegetation change stable area was 64.32% and 65.54%, respectively. 2011—2016 compared with 2006—2011, the area of vegetation degradation decreased by 257 km~2, while the area of vegetation improvement increased by 199 km~2, and the vegetation was still dominated by degradation.
引文
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[13]雷声剑,张福平,燕玉超,等.黑河上游植被覆盖时空变化特征及其未来趋势[J].水土保持通报,2016,36(3):159-164.
[14]肖骁,李京忠,韩彬,等.东北老工业区植被覆盖度时空特征及城市化关联分析[J].生态科学,2017,36(6):71-77.
[15]王平,沈润平.基于CLM模型的植被覆盖变化对黄土高原气温和降水的影响研究[J].科学技术与工程,2013,13(20):5754-5760.
[16]王童,何海,吴志勇.近30年来窟野河流域土地利用与植被覆盖度变化分析[J].水电能源科学,2017,35(11):128-130,83.
[17]许幼霞,周旭,赵娟,等.半湿润半干旱过渡区洮河流域植被盖度变化特征[J].水土保持通报,2016,36(6):308-314.
[18]张学霞,葛全胜,郑景云.近50年北京植被对全球变暖的响应及其时效-基于遥感数据和物候资料的分析[J].生态学杂志,2005,24(2):123-130.
[19]夏照华,张克斌,李瑞,等.基于NDVI的农牧交错区植被覆盖度变化研究-以宁夏盐池县为例[J].水土保持研究,2006,13(6):178-181.
[20] PUREVDORJ T S,TATEISHI R,ISHIYAMA T,et al. Relationships between percent vegetation cover and vegetation indices[J].International journal of remote sensing,2010,19(18):3519-3535.
[21]赵泰安,彭道黎.利用多时相遥感影像分析密云县植被动态变化[J].东北林业大学学报,2013,41(12):30-34.
[22]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,2001,5(6):416-422.
[23]龚文峰,吴娟,王笑峰,等.基于RS与GIS密云区植被盖度动态演变及其预测研究[J].黑龙江大学工程学报,2016,7(3):25-31.
[24]郝敬锋,刘红玉,李玉凤,等.基于转移矩阵模型的江苏海滨湿地资源时空演变特征及驱动机制分析[J].自然资源学报,2010,25(11):1918-1929.
[25]刘玉林,韦瑞生,陈伟杰.甘南县水土流失现状及防治措施[J].黑龙江水利科技,2012,40(1):274-275.
[2]秦伟,朱清科,张学霞,等.植被覆盖度及其测算方法研究进展[J].西北农林科技大学学报(自然科学版),2006,34(9):163-170.
[3]牛宝茹,刘俊蓉,王政伟.干旱半干旱地区植被覆盖度遥感信息提取研究[J].武汉大学学报(信息科学版),2005,30(1):27-30.
[4]邓飞,全占军,于云江.20年来乌兰木伦河流域植被盖度变化及影响因素[J].水土保持研究,2011,18(3):137-140,152.
[5]许旭,李晓兵,梁涵玮,等.内蒙古温带草原区植被盖度变化及其与气象因子的关系[J].生态学报,2010,30(14):3733-3743.
[6]周兆叶,储少林,王志伟,等.基于NDVI的植被覆盖度的变化分析-以甘肃省张掖市甘州区为例[J].草业科学,2008,25(12):23-29.
[7]程红芳,章文波,陈锋.植被覆盖度遥感估算方法研究进展[J].国土资源遥感,2008(1):13-18.
[8]盖永芹,李晓兵,张立,等.土地利用/覆被变化与植被盖度的遥感监测-以北京市密云县为例[J].资源科学,2009,31(3):523-529.
[9]孙久虎,刘晓萌,李佑钢,等.北运河地区植被覆盖的遥感估算及变化分析[J].水土保持研究,2006,13(6):97-99.
[10]苏嫄,王志杰.基于遥感和GIS的陕南地区近20年植被覆盖时空变化特征[J].水土保持研究,2018,25(1):250-256.
[11] ROUSE J W,HAAS R H,SCHELL J A,et al. Monitoring vegetation systems in the great plains with ERTS[C].Washington DC:Proceedings of the Third ERTS symposium,1973.309-317.
[12]郭芬芬,范建容,严冬,等.基于像元二分模型的昌都县植被盖度遥感估算[J].中国水土保持,2010(5):65-67.
[13]雷声剑,张福平,燕玉超,等.黑河上游植被覆盖时空变化特征及其未来趋势[J].水土保持通报,2016,36(3):159-164.
[14]肖骁,李京忠,韩彬,等.东北老工业区植被覆盖度时空特征及城市化关联分析[J].生态科学,2017,36(6):71-77.
[15]王平,沈润平.基于CLM模型的植被覆盖变化对黄土高原气温和降水的影响研究[J].科学技术与工程,2013,13(20):5754-5760.
[16]王童,何海,吴志勇.近30年来窟野河流域土地利用与植被覆盖度变化分析[J].水电能源科学,2017,35(11):128-130,83.
[17]许幼霞,周旭,赵娟,等.半湿润半干旱过渡区洮河流域植被盖度变化特征[J].水土保持通报,2016,36(6):308-314.
[18]张学霞,葛全胜,郑景云.近50年北京植被对全球变暖的响应及其时效-基于遥感数据和物候资料的分析[J].生态学杂志,2005,24(2):123-130.
[19]夏照华,张克斌,李瑞,等.基于NDVI的农牧交错区植被覆盖度变化研究-以宁夏盐池县为例[J].水土保持研究,2006,13(6):178-181.
[20] PUREVDORJ T S,TATEISHI R,ISHIYAMA T,et al. Relationships between percent vegetation cover and vegetation indices[J].International journal of remote sensing,2010,19(18):3519-3535.
[21]赵泰安,彭道黎.利用多时相遥感影像分析密云县植被动态变化[J].东北林业大学学报,2013,41(12):30-34.
[22]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,2001,5(6):416-422.
[23]龚文峰,吴娟,王笑峰,等.基于RS与GIS密云区植被盖度动态演变及其预测研究[J].黑龙江大学工程学报,2016,7(3):25-31.
[24]郝敬锋,刘红玉,李玉凤,等.基于转移矩阵模型的江苏海滨湿地资源时空演变特征及驱动机制分析[J].自然资源学报,2010,25(11):1918-1929.
[25]刘玉林,韦瑞生,陈伟杰.甘南县水土流失现状及防治措施[J].黑龙江水利科技,2012,40(1):274-275.