Estimation method of surface temperature and emitted long-wave radiation under cloud in optical remote sensing images

Abstract

The invention discloses a method for estimating the temperature of the ground surface under the cloud of an optical remote sensing image and emitting long-wave radiation. The method for estimating the surface temperature under the cloud of the optical remote sensing image includes: determining the specific range of shadows cast by all clouds on the optical remote sensing image to be processed, and obtaining the surface temperature of the pure shadow area through image inversion for the pure shadow area; In the non-shaded area, select the clear sky image with a preset time interval from the image to be processed as an intermediary image, determine a reference area on the optical remote sensing image to be processed, and obtain the surface temperature of the cloud covering the non-shaded area according to the temperature of the reference area; Aiming at the shadow area under the cloud cover, determine a search area on the optical remote sensing image to be processed; obtain the surface temperature of the shadow area under the cloud cover according to the surface temperature of the pure shadow area in the search area, thus realizing the surface temperature under the cloud cover estimate. Through the invention, the estimation of the surface temperature under the condition of cloud layer can be realized.

Description

technical field

[0001] The invention relates to the technical field of environmental monitoring, in particular to a method for estimating the ground surface temperature under clouds and emitted long-wave radiation in optical remote sensing images. Background technique

[0002] The use of optical remote sensing images to obtain land surface temperature is one of the key areas of remote sensing applications. The remote sensing retrieval of land surface temperature mainly relies on thermal infrared bands. However, it is difficult for thermal infrared bands to penetrate clouds. Under clear sky conditions, the surface temperature under cloudy conditions cannot be directly obtained from optical remote sensing images, resulting in discontinuous spatial distribution of temperature products retrieved by remote sensing, which is difficult to apply, for example, it is difficult to be adopted by models that study global change and it is difficult to accurately describe the surface temper...

Images