基于遥感监测指数模型的银川平原土壤盐渍化动态研究
|
摘要
土壤盐渍化在全球范围具有广泛性,是灌溉农业生产区普遍存在的问题,已成为制约农业发展的重要因素。银川平原地处干旱半干旱区,土壤盐渍化问题突出,对该区域盐渍地趋势进行研究具有重要意义。基于遥感监测指数模型(SDI),利用Landsat-TM/ETM数据对银川平原2000-2017年盐渍化信息进行提取和分类,从而对土壤盐渍化动态进行研究,结果表明:2017年较2000年盐渍化分布格局变化明显,呈现出整体减轻的态势,2000年以中度盐渍化为主,2017年以轻度和中度盐渍化为主,部分中度盐渍化地转化为轻度盐渍化地。但盐渍化分布面积没有减少,研究结果以期为盐渍化防治提供依据支持。
Soil salinization is widespread in the world and is a common problem in irrigated agricultural production areas, which has become an important factor restricting agricultural development. The Yinchuan Plain is located in arid and semi-arid areas, and the problem of soil salinization is prominent. It is of great significance to study the trend of saline land in this area. Based on the Remote Sensing Monitoring Index Model(SDI), Landsat-TM/ETM data was used to extract and classify the salinization information of Yinchuan Plain from 2000 to 2017, so as to study the soil salinization dynamics. The results show that 2017 is more than 2000. The distribution pattern of salinization changed obviously, showing an overall alleviation trend. In 2000, it was mainly moderate salinization. In 2017, it was mainly mild and moderate salinization, and some moderate salinized land was converted into light. Salted land. However, the distribution area of salinization has not decreased, and the research results provide a basis for the prevention and control of salinization.
Soil salinization is widespread in the world and is a common problem in irrigated agricultural production areas, which has become an important factor restricting agricultural development. The Yinchuan Plain is located in arid and semi-arid areas, and the problem of soil salinization is prominent. It is of great significance to study the trend of saline land in this area. Based on the Remote Sensing Monitoring Index Model(SDI), Landsat-TM/ETM data was used to extract and classify the salinization information of Yinchuan Plain from 2000 to 2017, so as to study the soil salinization dynamics. The results show that 2017 is more than 2000. The distribution pattern of salinization changed obviously, showing an overall alleviation trend. In 2000, it was mainly moderate salinization. In 2017, it was mainly mild and moderate salinization, and some moderate salinized land was converted into light. Salted land. However, the distribution area of salinization has not decreased, and the research results provide a basis for the prevention and control of salinization.
引文
[1]Eldeiry A.A.,Garcia L.A..Detecting soil salinity in alfalfa fields using spatial modeling and remote sensing.Soil Science Society of America Journal.2008.72:201-211.
[2]Farifteh J.,Farashad A,George RJ.Assessing salt-affected soil using remote sensing,solute modeling,and geophysics.Geoderma.2006.130:191-206.
[3]Townsend P.A.,Helmers D.P.,Kingdon C.C.,et al.Changes in the extent of surface mining and reclamation in the central Appalachians detected using a 1976-2006 Landsat time series.Remote Sensing of Environment.2009.113:62-72.
[4]Metternicht G.I.,Zinck J.A..Remote sensing of soil salinity:Potentials and constraints.Remote Sensing of Environment.2003.85:1-20.
[5]牛宝茹.塔里木河上游表土积盐量遥感信息提取研究.土壤学报.2005.42(4):674-677.
[6]Metternicht G.I..Fuzzy classification of JERS-1 SAR data and evaluation of its performance for soil salinity mapping.Ecological Modelling.1998.111:61-74.
[7]王飞,丁建丽,伍漫春.基于NDVI-SI特征空间的土壤盐渍化遥感模型[J].农业工程学报.2010.26(8):168-173.
[8]牛博,倪萍,塔西甫拉提·特依拜.遥感技术在干旱区盐渍化动态变化分析中的应用—以新疆于田县为例[J].地质灾害与环境保护.2004.15(4):78-82.
[9]关元秀,刘高焕.区域土壤盐渍化遥感监测研究综述[J].遥感技术与应用.2001.16(1):40-44.
[10]陈建军,张树文,陈静,等.大庆市土地盐碱化遥感监测与动态分析[J].干旱区资源与环境.2003.17(4):101-107.
[2]Farifteh J.,Farashad A,George RJ.Assessing salt-affected soil using remote sensing,solute modeling,and geophysics.Geoderma.2006.130:191-206.
[3]Townsend P.A.,Helmers D.P.,Kingdon C.C.,et al.Changes in the extent of surface mining and reclamation in the central Appalachians detected using a 1976-2006 Landsat time series.Remote Sensing of Environment.2009.113:62-72.
[4]Metternicht G.I.,Zinck J.A..Remote sensing of soil salinity:Potentials and constraints.Remote Sensing of Environment.2003.85:1-20.
[5]牛宝茹.塔里木河上游表土积盐量遥感信息提取研究.土壤学报.2005.42(4):674-677.
[6]Metternicht G.I..Fuzzy classification of JERS-1 SAR data and evaluation of its performance for soil salinity mapping.Ecological Modelling.1998.111:61-74.
[7]王飞,丁建丽,伍漫春.基于NDVI-SI特征空间的土壤盐渍化遥感模型[J].农业工程学报.2010.26(8):168-173.
[8]牛博,倪萍,塔西甫拉提·特依拜.遥感技术在干旱区盐渍化动态变化分析中的应用—以新疆于田县为例[J].地质灾害与环境保护.2004.15(4):78-82.
[9]关元秀,刘高焕.区域土壤盐渍化遥感监测研究综述[J].遥感技术与应用.2001.16(1):40-44.
[10]陈建军,张树文,陈静,等.大庆市土地盐碱化遥感监测与动态分析[J].干旱区资源与环境.2003.17(4):101-107.