基于NDVI-Albedo特征空间的陕西省干旱与荒漠化遥感监测
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摘要
旱情与荒漠化遥感监测有助于了解时空分布特征并及时采取相应措施。以2000-2016年MODIS NDVI和地表反照度(Albedo)数据为基础,构建NDVI-Albedo特征空间,计算荒漠化差值指数(DDI)和植被条件反照度干旱指数(VCADI),利用气象站点实测10cm土壤湿度数据进行相关性验证,并利用DDI和VCADI分别分析17a间陕西省荒漠化和旱情的时空分布特征和规律;其次,利用一元线性回归和变异系数法分析陕西省荒漠化和旱情的变化趋势和稳定性;最后从降雨量、温度等自然因素和人为因素2个方面分析了陕西省荒漠化和旱情变化的原因。结果表明,DDI与土壤湿度呈正相关关系,相关系数为0.49～0.58,且通过了95%显著性检验;VCADI与土壤湿度呈负相关关系,相关系数为-0.36～-0.48,且通过了90%显著性检验,DDI和VCADI分别可作为土地荒漠化和旱情监测指标;陕西省旱情及荒漠化主要分布在关中东北部、西安市周边以及陕北黄土高原地区,呈现为自南向北逐渐加重的趋势;17a间陕西省旱情及荒漠化均呈逐渐减轻和减弱的趋势,旱情及荒漠化减轻和减弱的比例分别为67.94%、81.93%,主要分布在陕北黄土高原地区;DDI和VCADI变异系数<0.4所占比例分别为98.31%和84.05%,旱情及荒漠化呈较稳定状态,受干扰强度较小;DDI、VCADI分别与年降水量、年平均气温之间呈显著相关性的地区占陕西省面积比例均<20%,表明降水量、平均气温不是影响旱情与荒漠化变化的主导因素。
Monitoring of drought and desertification helps to understand the temporal and spatial distribution characteristics of drought and desertification.Desertification index difference calculation in the feature space(DDI)and vegetation albedo(vegetation condition albedo drought index,VCADI)were obtained from NDVI and albedo space based on MODIS data from 2000 to 2016in Shaanxi province.The field-measured moisture data of 10 cm deep soil from meteorological were used to verify DDI and VCADI.The temporal and spatial distribution characteristics of desertification and drought were assessed by DDI and VCADI.The change trend and stability of drought and desertification were then evaluated using a linear regression analysis and the stability analysis methods.Finally,the change causes of desertification and drought were analyzed from natural factors and human factors.The results showed that there existed a significantly positive correlation between DDI and soil moisture and a negative correlation between VCADI and soil moisture.DDI and VCADI could be used to assess the land desertification and drought monitoring Drought anddesertification in Shaanxi province mainly occurred in the northeast Guanzhong,the surrounding areas of Xi'an and the Loess Plateau area of northern Shaanxi.The change trends of drought and desertification gradually increased from south to north.The drought and desertification in Shaanxi Province in 17 years presented a weakened trend and the proportions of drought and desertification decreased 67.94%and 81.93%,respectively,mainly distributed in the Loess Plateau area.The ratio of the coefficient of variation of DDI and VCADI was less than 0.4,and the proportions were 98.31%and 84.05%,respectively,indicating that the drought and desertification were in stable states,and the intensity of the disturbance was smaller.The area ratio of DDI and VCADI with annual precipitation and annual average temperature was less than 20%,which indicated that the precipitation and average temperature were not the dominant factors leading to the change of drought and desertification.
Monitoring of drought and desertification helps to understand the temporal and spatial distribution characteristics of drought and desertification.Desertification index difference calculation in the feature space(DDI)and vegetation albedo(vegetation condition albedo drought index,VCADI)were obtained from NDVI and albedo space based on MODIS data from 2000 to 2016in Shaanxi province.The field-measured moisture data of 10 cm deep soil from meteorological were used to verify DDI and VCADI.The temporal and spatial distribution characteristics of desertification and drought were assessed by DDI and VCADI.The change trend and stability of drought and desertification were then evaluated using a linear regression analysis and the stability analysis methods.Finally,the change causes of desertification and drought were analyzed from natural factors and human factors.The results showed that there existed a significantly positive correlation between DDI and soil moisture and a negative correlation between VCADI and soil moisture.DDI and VCADI could be used to assess the land desertification and drought monitoring Drought anddesertification in Shaanxi province mainly occurred in the northeast Guanzhong,the surrounding areas of Xi'an and the Loess Plateau area of northern Shaanxi.The change trends of drought and desertification gradually increased from south to north.The drought and desertification in Shaanxi Province in 17 years presented a weakened trend and the proportions of drought and desertification decreased 67.94%and 81.93%,respectively,mainly distributed in the Loess Plateau area.The ratio of the coefficient of variation of DDI and VCADI was less than 0.4,and the proportions were 98.31%and 84.05%,respectively,indicating that the drought and desertification were in stable states,and the intensity of the disturbance was smaller.The area ratio of DDI and VCADI with annual precipitation and annual average temperature was less than 20%,which indicated that the precipitation and average temperature were not the dominant factors leading to the change of drought and desertification.
引文
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[14]张严俊,塔西甫拉提·特依拜,夏军,等.中亚地区土地沙漠化遥感监测——以土库曼斯坦为例[J].干旱区地理:汉文版,2013,36(4):724-730.ZHANG Y J,TE YIBAI,XIA J,et al.Desertification monitoring with remote sensing in the central Asia:a case of Turkmenistan[J].Arid Land Geography,2013,36(4):724-730.(in Chinese)
[15]任艳群,刘海隆,唐立新,等.基于NDVI-Albedo特征空间的沙漠化动态变化研究——以准格尔盆地南缘为例[J].水土保持通报,2014,34(2):267-271.REN Y Q,LIU H L,TANG L X,et al.A Study on dynamic changes of desertification in south Edge of Junggar basin based on NDVI-Albedo features[J].Bulletin of Soil and Water Conservation,2014,34(2):267-271.(in Chinese)
[16] VERSTRAETE M M,PINTY B.Designing optimal spectral indexes for remote sensing applications[J].IEEE Transactions on Geoscience&Remote Sensing,1996,34(5):1254-1265.
[17] LIU Y,WU L X,YUE H.Bi-parabolic NDVI-Ts space and soil moisture remote sensing in an Arid and semi-Arid area[J].Canadian Journal of Remote Sensing,2015,41(3):159-169.
[18]陕西省监测站.陕西省生态环境状况评价报告[R].陕西:西安,2015.
[2]林年丰.第四纪地质环境的人工再造作用与土地荒漠化[J].第四纪研究,1998,18(2):128-135.LIN N F.Artificial reproduction on the quaternary geological environment and soil desertification.[J].Quaternary Sciences,1998,18(2):128-135.(in Chinese)
[3] PRINCE S D,COLSTOUN E B D,KRAVITZ L L.Evidence from rain-use efficiencies does not indicate extensive Sahelian desertification[J].Global Change Biology,1998,4(4):359-374.
[4]张浩,余军,王锋,等.陕西省荒漠化、沙化土地监测与动态变化分析[J].西北林学院学报,2015,30(1):184-188.ZHANG H,YU J,WANG F,et al.Monitoring and dynamic analysis of desertification and sanded land of Shaanxi Province[J].Journal of Northwest Forestry University,2015,30(1):184-188.(in Chinese)
[5]屈佳,常庆瑞,王耀宗.农牧交错带土地荒漠化动态景观格局分析-以靖边县杨桥畔镇为例[J].西北林学院学报,2011,26(1):166-170.QU J,CHANG Q R,WANG Y Z.Dynamic changes of landscape pattern during desertification in agriculture and pasturage interlaced zone-a Case study in Yangqiaopan Township[J].Journal of Northwest Forestry University,2011,26(1):166-170.(in Chinese)
[6] SANDHOLT I,RASMUSSEN K,ANDERSEN J.A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status[J].Remote Sensing of Environment,2002,79(2):213-224.
[7]冯志敏,邢文渊,肖继东,等.遥感监测土壤湿度综述及其在新疆的应用展望[J].测绘科学,2008,33(5):94-96.
[8] ROSNAY P D,CALVET J C,KERR Y,et al.Smosrex:a long term field campaign experiment for soil moisture and land surface processes remote sensing[J].Remote Sensing of Environment,2006,102(3/4):377-389.
[9]乔平林,张继贤,王翠华.应用AMSR—E微波遥感数据进行土壤湿度反演[J].中国矿业大学学报,2007,36(2):262-265.QIAO P L,ZHANG J X,WANG C H.Soil moisture retrieving by AMSR-E microwave remote sensing data[J].Journal of China University of Mining&Technology,2007,36(2):262-265.(in Chinese)
[10]曾永年,向南平,冯兆东,等.Albedo-NDVI特征空间及沙漠化遥感监测指数研究[J].地理科学,2006,26(1):75-81.ZENG Y N,XIANG N P,FENG Z D,et al.Albedo-NDVI space and remote sensing synthesis index models for desertification monitoring[J].Scientia Geographica Sinica,2006,26(1):75-81.(in Chinese)
[11] GHULAM A,LI Z,QIN Q,et al.Exploration of the spectral space based on vegetation index and albedo for surface drought estimation[J].Journal of Applied Remote Sensing,2007,1(1):341-353.
[12]李发鹏,徐宗学.黄河三角洲NDVI与Albedo时空分布规律[J].人民黄河,2008,30(2):5-7,10.LI F P,XU Z X.Temporal and spatial distribution law of NDVI and Albedo of the Yellow River delta[J].Yellow River,2008,30(2):5-7,10.(in Chinese)
[13]潘竟虎,秦晓娟.基于植被指数-反照度特征空间的沙漠化信息遥感提取——以张掖绿洲及其附近区域为例[J].测绘科学,2010,35(3):193-195.PAN J H,QIN X J.Extracting desertification from landsat imagery using a feature space composed of vegetation index and albedo-a case study of Zhangye oasis and its adjacent areas[J].Science of Surveying and Mapping,2010,35(3):193-195.(in Chinese)
[14]张严俊,塔西甫拉提·特依拜,夏军,等.中亚地区土地沙漠化遥感监测——以土库曼斯坦为例[J].干旱区地理:汉文版,2013,36(4):724-730.ZHANG Y J,TE YIBAI,XIA J,et al.Desertification monitoring with remote sensing in the central Asia:a case of Turkmenistan[J].Arid Land Geography,2013,36(4):724-730.(in Chinese)
[15]任艳群,刘海隆,唐立新,等.基于NDVI-Albedo特征空间的沙漠化动态变化研究——以准格尔盆地南缘为例[J].水土保持通报,2014,34(2):267-271.REN Y Q,LIU H L,TANG L X,et al.A Study on dynamic changes of desertification in south Edge of Junggar basin based on NDVI-Albedo features[J].Bulletin of Soil and Water Conservation,2014,34(2):267-271.(in Chinese)
[16] VERSTRAETE M M,PINTY B.Designing optimal spectral indexes for remote sensing applications[J].IEEE Transactions on Geoscience&Remote Sensing,1996,34(5):1254-1265.
[17] LIU Y,WU L X,YUE H.Bi-parabolic NDVI-Ts space and soil moisture remote sensing in an Arid and semi-Arid area[J].Canadian Journal of Remote Sensing,2015,41(3):159-169.
[18]陕西省监测站.陕西省生态环境状况评价报告[R].陕西:西安,2015.
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