基于CR_(NBR)物候算法的西双版纳橡胶成林提取及时空变化研究
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摘要
基于西双版纳2014年和2018年旱季Landsat-8 OLI遥感影像,利用橡胶林落叶-新叶萌生期内归一化焚烧指数变化率(CR_(NBR))算法,运用当年新叶萌生期植被分布(NDVI)与海拔数据(ASTER GDEM)进行掩膜提取,分别获取了2014年和2018年西双版纳橡胶成林种植面积,基于ArcGIS 10.5平台分析了橡胶成林时空格局和种植面积增减变化。结果表明:①西双版纳橡胶林主要分布于南部水热条件较好、中低海拔的橡胶种植适宜区。景洪市的橡胶林面积最大,其次是勐腊县,勐海县最小。集中分布于景洪市的勐龙镇、允景洪街道和嘎洒镇;勐腊县的关累镇、勐棒镇和勐满镇;②西双版纳及其下辖一市两县2014-2018年橡胶林种植面积总体呈现下降趋势,减幅为17.27%。其中,勐腊县的减幅最大为19.10%,勐海县减幅最小,仅2.70%。③橡胶林持续种植区主要在景洪市勐龙镇、嘎洒镇和景哈镇等,勐腊县的关累镇、勐棒镇和勐腊镇等;橡胶林种植增加区主要集中在景洪市勐龙镇、嘎洒镇和允景洪街道,勐腊县关累镇、勐腊镇和勐伴镇,勐海县打洛镇;橡胶林种植减少区主要在景洪市勐养镇、嘎洒镇和勐龙镇,勐腊县勐棒镇、勐腊镇和勐伴镇,本研究可为西双版纳橡胶林种植现状特征提供了新的认识。
With the Landsat-8 Operational Land Imager(OLI) images over Xishuangbanna acquired during the dry seasons of 2014 and 2018, the Change Rate of Normalized Burn Ratio(CR_(NBR)) algorithm(reported in our previous study), along with two masks of Landsat-derived natural forest and Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model(ASTER GDEM), were used to detect and obtain the geographical information of the mature rubber plantations during this period. The spatial and temporal change pattern of mature rubber plantations were detected and analyzed by means of spatial and statistical analyses using the ArcGIS 10.5 platform. Results showed that:(1) Mature rubber plantations were mainly distributed in areas with well hydrothermal conditions and moderate to low elevations in the south of Xishuangbanna. Jinghong City had the largest area of mature rubber plantations, followed by Mengla County and Menghai County accordingly. These plantations were typically concentrated within the towns of Menglong,Yunjinghong, and Gasa of Jinghong City, and Guanlei, Mengbang, and Mengman of Mengla County.(2) The declining area of mature rubber plantations were initially reported in Xishuangbanna from 2014 to 2018(at a reduction of approximately 17.27%). In particular, Mengla County had the largest reduction in mature rubber plantations(19.10%), while Menghai County had the least(2.70%).(3) The stable plantation areas of mature rubber were predominantly located in the towns of Menglong, Gasa and Jingha of Jinghong City, and Guanlei,Mengbang and Mengla of Mengla County. The increase in mature rubber plantation areas were mainly concentrated in the towns of Menglong, Gasa and Yunjinghong in Jinghong City, Guanlei, Mengla and Mengban in Mengla County, and the town of Daluo in Menghai County. The reduction area was mainly evident in the towns of Mengyang, Gasa and Menglong of Jinghong City, and Mengbang of Mengla County and Mengban in Mengla County. This study can provide a new understanding of the current status of rubber plantation in Xishuangbanna.
With the Landsat-8 Operational Land Imager(OLI) images over Xishuangbanna acquired during the dry seasons of 2014 and 2018, the Change Rate of Normalized Burn Ratio(CR_(NBR)) algorithm(reported in our previous study), along with two masks of Landsat-derived natural forest and Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model(ASTER GDEM), were used to detect and obtain the geographical information of the mature rubber plantations during this period. The spatial and temporal change pattern of mature rubber plantations were detected and analyzed by means of spatial and statistical analyses using the ArcGIS 10.5 platform. Results showed that:(1) Mature rubber plantations were mainly distributed in areas with well hydrothermal conditions and moderate to low elevations in the south of Xishuangbanna. Jinghong City had the largest area of mature rubber plantations, followed by Mengla County and Menghai County accordingly. These plantations were typically concentrated within the towns of Menglong,Yunjinghong, and Gasa of Jinghong City, and Guanlei, Mengbang, and Mengman of Mengla County.(2) The declining area of mature rubber plantations were initially reported in Xishuangbanna from 2014 to 2018(at a reduction of approximately 17.27%). In particular, Mengla County had the largest reduction in mature rubber plantations(19.10%), while Menghai County had the least(2.70%).(3) The stable plantation areas of mature rubber were predominantly located in the towns of Menglong, Gasa and Jingha of Jinghong City, and Guanlei,Mengbang and Mengla of Mengla County. The increase in mature rubber plantation areas were mainly concentrated in the towns of Menglong, Gasa and Yunjinghong in Jinghong City, Guanlei, Mengla and Mengban in Mengla County, and the town of Daluo in Menghai County. The reduction area was mainly evident in the towns of Mengyang, Gasa and Menglong of Jinghong City, and Mengbang of Mengla County and Mengban in Mengla County. This study can provide a new understanding of the current status of rubber plantation in Xishuangbanna.
引文
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[15]Li P,Zhang J H,Feng Z M.Mapping rubber tree plantations using a Landsat-based phenological algorithm in Xishuangbanna,southwest China[J].Remote Sensing Letters,2015,6(1):49-58.
[16]Xiao C W,Li P,Feng Z M.Monitoring annual dynamics of mature rubber plantations in Xishuangbanna during1987-2018 using Landsat time series data:A multiple normalization approach[J].International Journal of Applied Earth Observation and Geoinformation,2019,77:31-40.
[17]Xiao C W,Li P,Feng Z M,et al.An updated delineation of stand ages of deciduous rubber plantations during1987-2018 using Landsat-derived bi-temporal thresholds method in an anti-chronological strategy[J].International Journal of Applied Earth Observation and Geoinformation,2019,76:40-50.
[18]廖谌婳,李鹏,封志明,等.西双版纳橡胶林面积遥感监测和时空变化[J].农业工程学报,2014,30(22):170-180.[Liao C H,Li P,Feng Z M,et al.Area monitoring by remote sensing and spatiotemporal variation of rubber plantations in Xishuangbanna[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of CSAE),2014,30(22):170-180.]
[19]Xiao C W,Li P,Feng Z M.A renormalized modified normalized burn ratio(RMNBR)index for detecting mature rubber plantations with Landsat-8 OLI in Xishuangbanna,China[J].Remote Sensing Letters,2019,10(3):214-223.
[20]Xiao C W,Li P,Feng Z M,et al.Spatio-temporal differences in cloud cover of Landsat-8 OLI observations across China during 2013-2016[J].Journal of Geographical Sciences,2018,28(4):429-444.
[21]Li P,Feng Z M,Xiao C W.Acquisition probability differences in cloud coverage of the available Landsat observations over mainland Southeast Asia from 1986 to 2015[J].International Journal of Digital Earth,2018,11(5):437-450.
[22]Mann C C.Addicted to rubber[J].Science,2009,325(5940):564-566.
[23]García M J L,Caselles V.Mapping burns and natural reforestation using thematic mapper data[J].Geocarto International,2008,6(1):31-37.
[24]Li Z,Fox J M.Mapping rubber tree growth in mainland Southeast Asia using time-series MODIS 250 m NDVIand statistical data[J].Applied Geography,2012,32(2):420-432.
[25]Senf C,Pflugmacher D,Van der Linden S,et al.Mapping rubber plantations and natural forests in Xishuangbanna(southwest China)using multi-spectral phenological metrics from MODIS time series[J].Remote Sensing,2013,5(6):2795-2812.
[26]Hammond J,Yi Z F,McLellan T,et al.Situational analysis report:Xishuangbanna autonomous Dai prefecture Yunnan,China[R].ICRAF Working Paper 194.World Agroforestry Centre East and Central Asia,Kunming,China,2015:80.
[27]Zhang L,Kono Y,Kobayashi S,et al.The expansion of smallholder rubber farming in Xishuangbanna,China:Acase study of two Dai villages[J].Land Use Policy,2015,42:628-634.
[28]Yi Z F,Cannon C H,Chen J,et al.Developing indicators of economic value and biodiversity loss for rubber plantations in Xishuangbanna,southwest China:A case study from Menglun township[J].Ecological Indicators,2014,36:788-797.
[29]Xu J C,Grumbine R E,Becksch?fer P.Landscape transformation through the use of ecological and socioeconomic indicators in Xishuangbanna,southwest China,Mekong Region[J].Ecological Indicators,2014,36:749-756.
[2]刘晓娜,封志明,姜鲁光,等.西双版纳土地利用/土地覆被变化时空格局分析[J].资源科学,2014,36(2):233-244.[Liu X N,Feng Z M,Jiang L G,et al.Spatial-temporal pattern analysis of land use and land cover change in Xishuangbanna[J].Resources Sciences,2014,36(2):233-244.]
[3]Li H,Aide T M,Ma Y X,et al.Demand for rubber is causing the loss of high diversity rain forest in SW China[J].Biodiversity and Conservation,2007,16(6):1731-1745.
[4]Tan Z H,Zhang Y P,Song Q H,et al.Rubber plantations act as water pumps in tropical China[J].Geophysical Research Letters,2011,38:L24406.
[5]李亚飞,刘高焕,黄翀.基于HJ-1CCD数据的西双版纳地区橡胶林分布特征[J].中国科学:信息科学,2011,41(增刊):166-176.[Li Y F,Liu G H,Huang C.Analysis of distribution characteristics of Hevea brasiliensis in the Xishuangbanna area based on HJ-1 satellite data[J].Science In China(Information Sciences),2011,41(Supp):166-176.]
[6]刘晓娜,封志明,姜鲁光.基于决策树分类的橡胶林地遥感识别[J].农业工程学报,2013,29(24):163-172.[Liu XN,Feng Z M,Jiang L G.Application of decision tree classification to rubber plantations extraction with remote sensing[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of CSAE),2013,29(24):163-172.]
[7]李阳阳,张军,刘陈立,等.老挝北部5省橡胶林提取及时空扩张研究[J].林业科学研究,2017,30(5):709-717.[Li Y Y,Zhang J,Liu C L,et al.Research on extraction and spatial-temporal expansion of rubber forest in five provinces of northern Laos based on multi-source remote sensing[J].Forest Research,2017,30(5):709-717.]
[8]杨雪峰,王雪梅.基于决策树的多角度遥感影像分类[J].地球信息科学学报,2016,18(3):416-422.[Yang X F,Wang X M.Classification of MISR multi-angle imagery based on decision tree classifier[J].Journal of Geo-information Science,2016,18(3):416-422.]
[9]刘晓娜,封志明,姜鲁光,等.西双版纳橡胶林地的遥感识别与数字制图[J].资源科学,2012,34(9):1769-1780.[Liu XN,Feng Z M,Jiang L G,et al.Rubber plantations in Xishuangbanna:Remote sensing identification and digital mapping[J].Resources Sciences,2012,34(9):1769-1780.]
[10]刘陈立,张军,李阳阳,等.西双版纳橡胶林信息提取和时空格局扩张监测[J].福建林业科技,2017,44(2):43-50.[Liu C L,Zhang J,Li Y Y,et al.Rubber plantation of Xishuangbanna information extraction and monitoring of spatial-temporal pattern expansion[J].Journal of Fujian Forestry Sci and Tech,2017,44(2):43-50.]
[11]单治彬,孔金玲,张永庭,等.面向对象的特色农作物种植遥感调查方法研究[J].地球信息科学学报,2018,20(10):1509-1519.[Shan Z B,Kong J L,Zhang Y T,et al.Remote sensing investigation method of object-oriented crops with special characteristics[J].Journal of Geo-information Science,2018,20(10):1509-1519.]
[12]Hu H B,Liu W J,Cao M.Impact of land use and land cover changes on ecosystem services in Menglun,Xishuangbanna,southwest China[J].Environmental Monitoring and Assessment,2008,146(1-3):147-156.
[13]Dong J W,Xiao X M,Sheldon S,et al.Mapping tropical forests and rubber plantations in complex landscapes by integrating PALSAR and MODIS imagery[J].ISPRS Journal of Photogrammetry and Remote Sensing,2012,74:20-33.
[14]Dong J W,Xiao X M,Chen B,et al.Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery[J].Remote Sensing of Environment,2013,134:392-402.
[15]Li P,Zhang J H,Feng Z M.Mapping rubber tree plantations using a Landsat-based phenological algorithm in Xishuangbanna,southwest China[J].Remote Sensing Letters,2015,6(1):49-58.
[16]Xiao C W,Li P,Feng Z M.Monitoring annual dynamics of mature rubber plantations in Xishuangbanna during1987-2018 using Landsat time series data:A multiple normalization approach[J].International Journal of Applied Earth Observation and Geoinformation,2019,77:31-40.
[17]Xiao C W,Li P,Feng Z M,et al.An updated delineation of stand ages of deciduous rubber plantations during1987-2018 using Landsat-derived bi-temporal thresholds method in an anti-chronological strategy[J].International Journal of Applied Earth Observation and Geoinformation,2019,76:40-50.
[18]廖谌婳,李鹏,封志明,等.西双版纳橡胶林面积遥感监测和时空变化[J].农业工程学报,2014,30(22):170-180.[Liao C H,Li P,Feng Z M,et al.Area monitoring by remote sensing and spatiotemporal variation of rubber plantations in Xishuangbanna[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of CSAE),2014,30(22):170-180.]
[19]Xiao C W,Li P,Feng Z M.A renormalized modified normalized burn ratio(RMNBR)index for detecting mature rubber plantations with Landsat-8 OLI in Xishuangbanna,China[J].Remote Sensing Letters,2019,10(3):214-223.
[20]Xiao C W,Li P,Feng Z M,et al.Spatio-temporal differences in cloud cover of Landsat-8 OLI observations across China during 2013-2016[J].Journal of Geographical Sciences,2018,28(4):429-444.
[21]Li P,Feng Z M,Xiao C W.Acquisition probability differences in cloud coverage of the available Landsat observations over mainland Southeast Asia from 1986 to 2015[J].International Journal of Digital Earth,2018,11(5):437-450.
[22]Mann C C.Addicted to rubber[J].Science,2009,325(5940):564-566.
[23]García M J L,Caselles V.Mapping burns and natural reforestation using thematic mapper data[J].Geocarto International,2008,6(1):31-37.
[24]Li Z,Fox J M.Mapping rubber tree growth in mainland Southeast Asia using time-series MODIS 250 m NDVIand statistical data[J].Applied Geography,2012,32(2):420-432.
[25]Senf C,Pflugmacher D,Van der Linden S,et al.Mapping rubber plantations and natural forests in Xishuangbanna(southwest China)using multi-spectral phenological metrics from MODIS time series[J].Remote Sensing,2013,5(6):2795-2812.
[26]Hammond J,Yi Z F,McLellan T,et al.Situational analysis report:Xishuangbanna autonomous Dai prefecture Yunnan,China[R].ICRAF Working Paper 194.World Agroforestry Centre East and Central Asia,Kunming,China,2015:80.
[27]Zhang L,Kono Y,Kobayashi S,et al.The expansion of smallholder rubber farming in Xishuangbanna,China:Acase study of two Dai villages[J].Land Use Policy,2015,42:628-634.
[28]Yi Z F,Cannon C H,Chen J,et al.Developing indicators of economic value and biodiversity loss for rubber plantations in Xishuangbanna,southwest China:A case study from Menglun township[J].Ecological Indicators,2014,36:788-797.
[29]Xu J C,Grumbine R E,Becksch?fer P.Landscape transformation through the use of ecological and socioeconomic indicators in Xishuangbanna,southwest China,Mekong Region[J].Ecological Indicators,2014,36:749-756.