Method for evaluating daytime average evapotranspiration according to multi-temporal remote sensing data and meteorological data

一种联合多时相遥感数据和气象数据估算白天平均蒸散发的方法

Abstract

本申请公开了一种联合多时相遥感数据和气象数据估算白天平均蒸散发的方法,包括以下步骤:通过地表温度LST和地表短波净辐射NSSR计算遥感椭圆参数,利用ALEX模型模拟数据计算蒸散发模型系数n0~n5;利用遥感椭圆参数和蒸散发模型系数n0~n5估算白天平均蒸散发ETd。本发明充分利用静止气象卫星每天多时相对地观测的优势,通过多时相卫星数据和气象数据,直接得到白天平均蒸散发,解决了现有技术中存在的必须先反演瞬时蒸散发而后进行时间尺度扩展才能获取日尺度蒸散发的问题,实现了基于FY‑2静止气象卫星数据的日尺度平均蒸散发的直接估算。
The invention discloses a method for evaluating daytime average evapotranspiration according to multi-temporal remote sensing data and meteorological data. The method comprises the following steps of calculating a remote sensing ellipse parameter through a land surface temperature (LST) and a net surface shortwave radiation (NSSR), calculating evapotranspiration model coefficients n0-n5 by means of ALEX model analog data; and estimating a daytime average evapotranspiration ETd by means of the remote sensing ellipse parameter and the evapotranspiration model coefficients n0-n5. According to the method of the invention, a multi-temporal earth observation advantage of a stationary meteorological satellite is sufficiently utilized. Through multi-temporal satellite data and meteorological data, the daytime average evapotranspiration is directly obtained. The method settles a problem that the daytime average evapotranspiration can be obtained through inversing instantaneous evapotranspiration and performing time scale expansion in prior art, and furthermore realizes direct estimation for the daytime average evapotranspiration based on FY-2 stationary meteorological satellite data.

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