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Study on the Effects of Landcover Changes on Surface Albedo and Surface Temperature in Bangladesh Using Remote Sensing and GIS

机译:遥感和GIS研究孟加拉国土地覆盖变化对地表反照率和地表温度的影响

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Dynamic changes in Earth’s land cover characteristics and associated temporally evolving biophysical surface properties, as well as their ultimate impacts on surface radiative (surface albedo) and climatic properties (land surface temperature), have been studied. The study area includes a part of southwestern Bangladesh covering a period of about twenty years from 1988 – 2011. The widely used Surface Energy Balance Algorithm for Land (SEBAL) has been applied in conjunction with satellite-derived radiative measurements. Relatively important land use types such as water, soil, sand, settlement, shrimp farm, forest and agricultural crop have been considered. Feature type conversion of parameters i.e Normalized Difference of Vegetation Index (NDVI), surface albedo and land surface temperature have been noticed over the area under the present study. The highest surface albedo as well as surface temperature value has been noticed over the sandy area. Analysis revealed increases of surface temperature by about 1 °C and 3 °C for land cover conversion from (i) crop to settlement and (ii) water to soil, respectively. All other categories of landcover conversion generally experience decreases in surface temperature. Spatial vegetation coverage and amount of soil moisture play a dominant role in the radiative as well as climatic properties.
机译:已经研究了地球土地覆盖特征的动态变化以及相关的随时间变化的生物物理表面特性,以及它们对表面辐射(表面反照率)和气候特性(土地表面温度)的最终影响。研究区域包括孟加拉国西南部的一部分,从1988年到2011年约有20年的时间。广泛使用的土地表面能量平衡算法(SEBAL)已与卫星衍生的辐射测量结合使用。已经考虑了相对重要的土地利用类型,例如水,土壤,沙子,定居点,养虾场,森林和农作物。在本研究中,已经注意到参数的特征类型转换,即植被指数的归一化差异(NDVI),地表反照率和地表温度。在沙地上发现了最高的地表反照率和地表温度值。分析表明,土地覆被分别从(i)作物转变为定居地和(ii)将水转化为土壤的地表温度分别升高了约1°C和3°C。所有其他类别的土地覆被转化一般都会经历地表温度下降。空间植被覆盖度和土壤水分含量在辐射和气候特性中起着主要作用。

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