像元二分模型参数确定方法对高分一号PMS数据估算植被覆盖度精度的影响
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摘要
纯裸土像元的NDVI_(soil)和纯植被像元的NDVI_(veg)是像元二分模型的两个关键参数,影响植被覆盖度遥感估算的精度。该文在基于实测法和置信度法确定像元二分模型参数的基础上,利用国产高分一号PMS数据估算了黄土高原典型区的植被覆盖度,并用实测植被覆盖度数据对两种估算结果进行了验证,最后分析了研究区植被覆盖度的空间分布特征。结果表明:1)利用实测法和置信度法确定的像元二分模型参数,估算得到的植被覆盖度与实测植被覆盖度之间均存在较好的线性关系,但实测法估算精度优于置信度法;2)研究区植被覆盖度从西北到东南逐渐增大,平均盖度为55.40%,植被覆盖度大于45%的面积比例在60%以上,植被覆盖整体较好。研究结果可为区域植被覆盖度遥感估算提供参考。
NDVI_(soil)(NDVI of bare soil) and NDVI_(veg)(NDVI of dense vegetation) are two key parameters of the dichotomy pixel model,which affect the accuracy of fractional vegetation cover(FVC) estimated by remote sensing.In this study,NDVI_(soil) and NDVI_(veg) of the dichotomy pixel model were determined by field measurement and confidence method.The FVC in the typical area of the Loess Plateau was estimated by using the GF-1 PMS remote sensing image data based on the modified dichotomy pixel model.The estimation results were verified by the field measured vegetation coverage data.And the spatial distribution of vegetation coverage in the study area was then analyzed.The results showed that:1) There was a good linear relationship between the estimated FVC and the measured FVC,but the estimation accuracy of the measured method was better than that of the confidence method.2) The FVC increased gradually from northwest to southeast,with an average FVC of 55.40%.The area with FVC greater than 45% was more than 60% of the study area.The results of this study can provide a reference for remote sensing estimation of regional fractional vegetation cover.
NDVI_(soil)(NDVI of bare soil) and NDVI_(veg)(NDVI of dense vegetation) are two key parameters of the dichotomy pixel model,which affect the accuracy of fractional vegetation cover(FVC) estimated by remote sensing.In this study,NDVI_(soil) and NDVI_(veg) of the dichotomy pixel model were determined by field measurement and confidence method.The FVC in the typical area of the Loess Plateau was estimated by using the GF-1 PMS remote sensing image data based on the modified dichotomy pixel model.The estimation results were verified by the field measured vegetation coverage data.And the spatial distribution of vegetation coverage in the study area was then analyzed.The results showed that:1) There was a good linear relationship between the estimated FVC and the measured FVC,but the estimation accuracy of the measured method was better than that of the confidence method.2) The FVC increased gradually from northwest to southeast,with an average FVC of 55.40%.The area with FVC greater than 45% was more than 60% of the study area.The results of this study can provide a reference for remote sensing estimation of regional fractional vegetation cover.
引文
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[12] 王建步,张杰,马毅,等.基于高分一号WFV卫星影像的黄河口湿地草本植被生物量估算模型研究[J].激光生物学报,2014,23(6):604-608.
[13] 蔡宗磊,包妮沙,刘善军.国产高分一号数据估算草地植被覆盖度方法研究——以呼伦贝尔草原露天煤矿区为例[J].地理与地理信息科学,2017,33(2):32-38.
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[19] QUARMBY N A,TOWNSHEND J R G,SETTLE J J,et al.Linear mixture modelling applied to AVHRR data for crop area estimation[J].International Journal of Remote Sensing,1992,13(3):415-425.
[20] GUTMAN G,IGNATOV A.The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models[J].International Journal of Remote Sensing,1998,19(8):1533-1543.
[21] 李苗苗,吴炳方,颜长珍,等.密云水库上游植被覆盖度的遥感估算[J].资源科学,2004,26(4):153-159.
[22] 孙雷刚,郑振华.基于RS的近30年滹沱河流域植被覆盖度动态变化研究[J].地理与地理信息科学,2014,30(6):36-40.
[23] 阳小琼,朱文泉,潘耀忠,等.基于修正的亚像元模型的植被覆盖度估算[J].应用生态学报,2008,19(8):1860-1864.
[24] ZHOU Q,ROBSON M.Automated rangeland vegetation cover and density estimation using ground digital images and a spectral-contextual classifier[J].International Journal of Remote Sensing,2001,22(17):3457-3470.
[25] 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.
[26] 黄世存,吴海平,王奇,等.“高分一号”卫星PMS图像几何定位精度验证[J].航天返回与遥感,2014,35(5):81-87.
[27] DIAL G,BOWEN H,GERLACH F,et al.IKONOS satellite,imagery,and products[J].Remote Sensing of Environment,2003,88(1):23-36.
[28] 雷婉宁,温仲明.基于植物群落结构的水土流失植被因子指数研究[J].水土保持学报,2008,22(5):68-72.
[29] ZHANG X F,LIAO C H,LI J,et al.Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data[J].International Journal of Applied Earth Observation and Geoinformation,2013,21:506-512.
[30] ROUSE J W,HAAS R H,SCHELL J A,et al.Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation[R].NASA/GSFCT Type Ⅲ Final Report,Greenbelt,MD,USA,1974.11-371.
[31] CARLSON T N,RIPLEY D A.On the relation between NDVI,fractional vegetation cover,and leaf area index[J].Remote Sensing of Environment,1997,62:241-252.
[32] WU B F,LI M M,YAN C Z,et al.Developing method of vegetation fraction estimation by remote sensing for soil loss equation:A case in the upper basin of Miyun Reservoir[A].2004 IEEE International Geoscience and Remote Sensing Symposium[C].2004.4352-4355.
[33] 中华人民共和国水利部.土壤侵蚀分类分级标准[S].北京:中国标准出版社,2008.
[34] BRADLEY C R.The influence of canopy green vegetation fraction on spectral measurements over native tallgrass prairie[J].Remote Sensing of Environment,2002,81(1):129-135.
[35] 陈爱京,傅玮东,肖继东,等.基于像元二分模型的和布克赛尔县植被覆盖动态变化分析[J].草业科学,2012,29(6):857-862.
[36] 王丽春,焦黎,来风兵.基于NDVI的新疆玛纳斯湖湿地植被覆盖度变化研究[J].冰川冻土,2018,40(1):176-185.
[37] 刘咏梅,汪步惟,李京忠,等.黄土丘陵沟壑区枯枝落叶层和土壤的光谱差异特征分析[J].农业工程学报,2015,31(2):147-154.
[2] RENARD K G,FOSTER G R,WEESIES G A,et al.Predicting Soil Erosion by Water:A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE)[M].Washington DC:USDA-ARS,1997.
[3] ELWELL H A,STOCKING M A.Vegetal cover to estimate soil erosion hazard in Rhodesia[J].Geoderma,1976,15(1):61-70.
[4] DE ROO A P J,WESSELING C G,RITSEMA C J.LISEM:A single-event,physically based hydrological and soil erosion model for drainage basins.I:Theory,input and output[J].Hydrological Processes,1996,10(8):1107-1117.
[5] DE ROO A P J,OFFERMANS R J E,CREMERS N H D T.LISEM:A single-event,physically based hydrological and soil erosion model for drainage basins.II:Sensitivity analysis,validation and application[J].Hydrological Processes,1996,10(8):1119-1126.
[6] 章文波,符素华,刘宝元.目估法测量植被覆盖度的精度分析[J].北京师范大学学报(自然科学版),2001,37(3):402-408.
[7] 章文波,刘宝元,吴敬东.小区植被覆盖度动态快速测量方法研究[J].水土保持通报,2001,21(6):60-63.
[8] ADAMS J E,ARKIN G F.A light interception method for measuring row crop ground cover[J].Soil Science Society of America Journal,1977,41(4):789-792.
[9] 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.
[10] 贾坤,姚云军,魏香琴,等.植被覆盖度遥感估算研究进展[J].地球科学进展,2013,28(7):774-782.
[11] 陶欢,李存军,周静平,等.基于高分1号影像的森林植被信息提取[J].自然资源学报,2018,33(6):1068-1079.
[12] 王建步,张杰,马毅,等.基于高分一号WFV卫星影像的黄河口湿地草本植被生物量估算模型研究[J].激光生物学报,2014,23(6):604-608.
[13] 蔡宗磊,包妮沙,刘善军.国产高分一号数据估算草地植被覆盖度方法研究——以呼伦贝尔草原露天煤矿区为例[J].地理与地理信息科学,2017,33(2):32-38.
[14] 甘春英,王兮之,李保生,等.连江流域近18年来植被覆盖度变化分析[J].地理科学,2011,31(8):1019-1024.
[15] 朱源,彭光雄,王志,等.基于MODIS-NDVI的西藏林芝地区植被时空变化研究[J].地理与地理信息科学,2010,26(5):58-62.
[16] ZHOU Q,ROBSON M,PILESJO P.On the ground estimation of vegetation cover in Australian rangelands[J].International Journal of Remote Sensing,1998,19(9):1815-1820.
[17] AL-ABED M,ZHOU S,YAGHI A,et al.Application of GIS and remote sensing in soil degradation assessments in the Syrian coast[J].Journal of Zhejiang University (Agriculture and Life Sciences),2000,26(2):191-196.
[18] PECH R P,GRAETZ R D,DAVIS A W.Reflectance modelling and the derivation of vegetation indices for an Australian semi-arid shrubland[J].International Journal of Remote Sensing,1986,7(3):389-403.
[19] QUARMBY N A,TOWNSHEND J R G,SETTLE J J,et al.Linear mixture modelling applied to AVHRR data for crop area estimation[J].International Journal of Remote Sensing,1992,13(3):415-425.
[20] GUTMAN G,IGNATOV A.The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models[J].International Journal of Remote Sensing,1998,19(8):1533-1543.
[21] 李苗苗,吴炳方,颜长珍,等.密云水库上游植被覆盖度的遥感估算[J].资源科学,2004,26(4):153-159.
[22] 孙雷刚,郑振华.基于RS的近30年滹沱河流域植被覆盖度动态变化研究[J].地理与地理信息科学,2014,30(6):36-40.
[23] 阳小琼,朱文泉,潘耀忠,等.基于修正的亚像元模型的植被覆盖度估算[J].应用生态学报,2008,19(8):1860-1864.
[24] ZHOU Q,ROBSON M.Automated rangeland vegetation cover and density estimation using ground digital images and a spectral-contextual classifier[J].International Journal of Remote Sensing,2001,22(17):3457-3470.
[25] 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.
[26] 黄世存,吴海平,王奇,等.“高分一号”卫星PMS图像几何定位精度验证[J].航天返回与遥感,2014,35(5):81-87.
[27] DIAL G,BOWEN H,GERLACH F,et al.IKONOS satellite,imagery,and products[J].Remote Sensing of Environment,2003,88(1):23-36.
[28] 雷婉宁,温仲明.基于植物群落结构的水土流失植被因子指数研究[J].水土保持学报,2008,22(5):68-72.
[29] ZHANG X F,LIAO C H,LI J,et al.Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data[J].International Journal of Applied Earth Observation and Geoinformation,2013,21:506-512.
[30] ROUSE J W,HAAS R H,SCHELL J A,et al.Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation[R].NASA/GSFCT Type Ⅲ Final Report,Greenbelt,MD,USA,1974.11-371.
[31] CARLSON T N,RIPLEY D A.On the relation between NDVI,fractional vegetation cover,and leaf area index[J].Remote Sensing of Environment,1997,62:241-252.
[32] WU B F,LI M M,YAN C Z,et al.Developing method of vegetation fraction estimation by remote sensing for soil loss equation:A case in the upper basin of Miyun Reservoir[A].2004 IEEE International Geoscience and Remote Sensing Symposium[C].2004.4352-4355.
[33] 中华人民共和国水利部.土壤侵蚀分类分级标准[S].北京:中国标准出版社,2008.
[34] BRADLEY C R.The influence of canopy green vegetation fraction on spectral measurements over native tallgrass prairie[J].Remote Sensing of Environment,2002,81(1):129-135.
[35] 陈爱京,傅玮东,肖继东,等.基于像元二分模型的和布克赛尔县植被覆盖动态变化分析[J].草业科学,2012,29(6):857-862.
[36] 王丽春,焦黎,来风兵.基于NDVI的新疆玛纳斯湖湿地植被覆盖度变化研究[J].冰川冻土,2018,40(1):176-185.
[37] 刘咏梅,汪步惟,李京忠,等.黄土丘陵沟壑区枯枝落叶层和土壤的光谱差异特征分析[J].农业工程学报,2015,31(2):147-154.