两种遥感蒸散产品在干旱半干旱地区的应用对比
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摘要
为探讨MOD16和BESS两种蒸散产品在干旱半干旱地区的适用性,从区域尺度、逐像元尺度和不同植被类型等层面对两种蒸散进行了对比。结果表明,MOD16估算的宁夏近15a平均蒸散为264. 23mm,略高于BESS估算的259. 39mm,二者均略低于该地区的年平均降水量;空间上,MOD16在中部干旱带低估了蒸散,而在南部丘陵山区高估了蒸散;两种蒸散在像元尺度达到了极显著正相关,相关系数在0. 87-0. 95之间(P <0. 01);两种模型对不同植被类型地表蒸散的估算一致,均为林地蒸散最高,农田蒸散次之,草地蒸散最低;两种蒸散在年尺度上和年降水量序列具有较为一致的波动特征;总体来看,两种遥感蒸散产品在干旱半干旱地区的适用性较一致,均能反映出不同植被类型和地理单元的蒸散差异特征,但因模型机理不同又表现出各自的特点。
In order to explore the applicability of MOD16 and BESS in arid and semi-arid regions,the two evapotranspiration products were compared from the perspective of the region scale,pixel-by-pixel scale and types of vegetation.The results showed that the average ET of Ningxia province in the past 15 years estimated by MOD16 is 264.23 mm,which is slightly higher than the 259.39 mm evaluated by BESS.These two kinds of ET are less than the annual average precipitation of Ningxia province at the same time.From the perspective of spatial characteristics,MOD16 underestimates ET in the central arid zone and overestimates ET in the hilly southern area.The MOD16 and BESS ET have a significantly positive correlation in pixel scale,the correlation coefficient is between 0.87 and 0.95( P < 0.01).The estimated results of these two models for surface ET of different vegetation types are consistent with each other.The strongest ET appears in forest that followed by farmland,and the weakest appears in grassland.Both ET products have the same characteristics of fluctuation in annual scale with series of precipitation.In general,the applicability of these two kinds of remote sensing ET products in arid and semi-arid regions is more consistent,which can reflect the characteristics of ET of different vegetation types and separate geographical units.However,these two kinds of remote sensing ET products showed different characteristics due to different mechanism models.
In order to explore the applicability of MOD16 and BESS in arid and semi-arid regions,the two evapotranspiration products were compared from the perspective of the region scale,pixel-by-pixel scale and types of vegetation.The results showed that the average ET of Ningxia province in the past 15 years estimated by MOD16 is 264.23 mm,which is slightly higher than the 259.39 mm evaluated by BESS.These two kinds of ET are less than the annual average precipitation of Ningxia province at the same time.From the perspective of spatial characteristics,MOD16 underestimates ET in the central arid zone and overestimates ET in the hilly southern area.The MOD16 and BESS ET have a significantly positive correlation in pixel scale,the correlation coefficient is between 0.87 and 0.95( P < 0.01).The estimated results of these two models for surface ET of different vegetation types are consistent with each other.The strongest ET appears in forest that followed by farmland,and the weakest appears in grassland.Both ET products have the same characteristics of fluctuation in annual scale with series of precipitation.In general,the applicability of these two kinds of remote sensing ET products in arid and semi-arid regions is more consistent,which can reflect the characteristics of ET of different vegetation types and separate geographical units.However,these two kinds of remote sensing ET products showed different characteristics due to different mechanism models.
引文
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[15]王海波,马明国.基于遥感和P-M模型的内陆河流域不同生态系统蒸散发估算[J].生态学报,2014,34(19):5617-5626.
[16]Ryu Y,Baldocchi D D,Kobayashi H,et al. Integration of MODIS land and atmosphere products with a coupled‐process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales[J]. Global Biogeochemical Cycles,2011,25(4):271-284.
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[19]杨淑萍,赵光平,孙银川,等. 2004-2005年宁夏特大干旱事件的诊断分析[J].中国沙漠,2006,26(6):948-952.
[20]苏占胜,王学霞,陆晓静,等.宁夏主要气象灾害及防御对策[J].农业灾害研究,2012,2(3):68-71.
[21]王丽娟,郭铌,杨启东,等.基于MODIS遥感产品估算西北半干旱区的陆面蒸散量[J].高原气象,2016,35(2):375-384.
[22]李琴,陈曦,刘英,等.干旱区区域蒸散发量遥感反演研究[J].干旱区资源与环境,2012,26(8):111-115.
[2]张雨航,王晓林,胡光成.基于MODIS数据的海流兔河流域蒸散量的计算[J].地球科学-中国地质大学学报,2012,37(2):375-380.
[3]Oki T,Kanae S. Global hydrological cycles and world water resources[J]. Science,2006,313:1068-1072.
[4]Verstraeten W W,Veroustraete F,Feyen J. Assessment of evapotranspiration and soil moisture content across different scales of observation[J].Sensors,2008,8(1):70-117.
[5]郭玉川,何英,董新光.基于MODIS数据的区域蒸散发估算研究[J].节水灌溉,2008(1):44-47.
[6]李琴,陈曦,包安明,等.基于SEBS模型干旱区蒸散发量研究[J].遥感技术与应用,2014,29(2):195-201.
[7]辛晓洲,田国良,柳钦火.地表蒸散定量遥感的研究进展[J].遥感学报,2003,7(3):233-240.
[8]郭晓寅,程国栋.遥感技术应用于地表面蒸散发的研究进展[J].地球科学进展,2004,19(1):107-114.
[9]高彦春,龙笛.遥感蒸散发模型研究进展[J].遥感学报,2008,12(3):515-528.
[10]Mu Q,Zhao M,Running S W. Improvements to a MODIS global terrestrial evapotranspiration algorithm[J]. Remote Sensing of Environment,2011,115(8):1781-1800.
[11]Jiang C,Ryu Y. Multi-scale evaluation of global gross primary productivity and evapotranspiration products derived from Breathing Earth System Simulator(BESS)[J]. Remote Sensing of Environment,2016,186:528-547.
[12]杜灵通,田庆久.宁夏植被覆盖动态变化及与气候因子的关系[J].中国沙漠,2012,32(5):1479-1485.
[13]李志军.宁夏气候变化及其对植被覆盖的影响[D].兰州:兰州大学,2010:7-11.
[14]姜艳阳,王文,周正昊. MODIS MOD16蒸散发产品在中国流域的质量评估[J].自然资源学报,2017,32(3):517-528.
[15]王海波,马明国.基于遥感和P-M模型的内陆河流域不同生态系统蒸散发估算[J].生态学报,2014,34(19):5617-5626.
[16]Ryu Y,Baldocchi D D,Kobayashi H,et al. Integration of MODIS land and atmosphere products with a coupled‐process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales[J]. Global Biogeochemical Cycles,2011,25(4):271-284.
[17]Ryu Y,Jiang C,Kobayashi H,et al. MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5 km resolution from 2000[J]. Remote Sensing of Environment,2017,204:812-825.
[18]宋乃平,杜灵通,王磊.盐池县2000-2012年植被变化及其驱动力分析[J].生态学报,2015,35(22):7377-7386.
[19]杨淑萍,赵光平,孙银川,等. 2004-2005年宁夏特大干旱事件的诊断分析[J].中国沙漠,2006,26(6):948-952.
[20]苏占胜,王学霞,陆晓静,等.宁夏主要气象灾害及防御对策[J].农业灾害研究,2012,2(3):68-71.
[21]王丽娟,郭铌,杨启东,等.基于MODIS遥感产品估算西北半干旱区的陆面蒸散量[J].高原气象,2016,35(2):375-384.
[22]李琴,陈曦,刘英,等.干旱区区域蒸散发量遥感反演研究[J].干旱区资源与环境,2012,26(8):111-115.