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ENERGY BUDGET OVER SEMI-ARID AGRO-ECOSYSTEM USING SATELLITE DATA

机译:使用卫星数据的半干旱农业生态系统的能源预算

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Energy-water-carbon cycle is the central theme of biosphere-atmosphere interaction to understand the response and feedback processes in a climate system. The crop response in a semi-arid climate is frequently encountered by water scarcity due to maldistribution of rainfall or lack of irrigation water leading to low agricultural productivity. The characterization of water stress over large agriculture using thermal regime over crop surface in periodic manner throughout crop growth cycle is thus extremely important. Though, conventional measurements with Lysimeter keep record of field and soil specific water balances in root zone but cannot be extrapolated to larger area. The combination of optical band data in terms of albedo, NDVI threshold based emissivity and thermal band data in terms of Land Surface Temperature can represent evapotranspiration (ET) through energy balance approach over a spatial domain. Energy balance estimates derived from MODIS AQUA were validated with in situ attented and unattended observations for two wheat seasons, 2005 - 06 and 2006 - 07, within a 5km x 5km wheat growing region of Kheda district in Gujarat. Daily AQUA evapotranspiration estimates in terms of daytime latent heat fluxes were found to have root mean square error (RMSE) 29 Wm~(-2) (r velence 0.72) and 26 Wm~(-2) (r velence 0.8), respectively as compared to attended measurements during both the seasons. Correlation was substantially more and RMSE were less when estimates were compared with in situ measurements using Large Aperture Scintillometer (LAS) sensible heat fluxes.
机译:能量水 - 碳循环是生物圈 - 大气中的中心主题,以了解气候系统中的响应和反馈过程。由于降雨或缺乏农业生产力的灌溉水域,水资源稀缺经常遇到半干旱气候中的作物反应。因此,在整个作物生长周期中,在周期性的情况下,使用热调节在大型农业上使用热量的水分胁迫表征是非常重要的。然而,使用Lysimeter的常规测量记录根部区域中的田间和土壤特定水分余额,但不能推断到更大的区域。在陆地表面温度方面,在Albedo的基于NDVI阈值的基于NDVI阈值的发射率和热带数据中的光学频带数据的组合可以通过空间域通过能量平衡方法代表蒸发(ET)。从Modis Aqua获得的能量平衡估算因位于古吉拉特郡喀里达区的5公里x 5km小麦生长地区的5公里x 5km小麦种植区内,验证了Modis Aqua的估算。在日间潜热通量方面,发现每日蒸发蒸发估计分别具有分别的均线误差(RMSE)29Wm〜(-2)(R柔性0.72)和26Wm〜(-2)(r柔岩0.8)。与在季节的参加量度相比。当使用大孔径闪烁计(LAS)明智的热通量的原位测量将估计进行比较时,相关性大幅增加并且RMSE较少。

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