ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-4-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 83–88, 2021
https://doi.org/10.5194/isprs-annals-V-4-2021-83-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 83–88, 2021
https://doi.org/10.5194/isprs-annals-V-4-2021-83-2021

  17 Jun 2021

17 Jun 2021

AN IMPROVED TEMPERATURE SPATIAL INTERPOLATION METHOD FOR SPACEBORNE LIDAR ATMOSPHERIC CORRECTION

M. Zhou, K. Li, M. Pan, J. Chen, C. Li, and L. Chen M. Zhou et al.
  • Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

Keywords: Spatial interpolation, IDW, OK, GIDS, Adiabatic lapse rate

Abstract. As one of the most important meteorological elements, temperature is an indispensable meteorological parameter for the atmospheric correction of spaceborne LiDAR ranging. Given a limited number of surface meteorological observation stations, the temperature values for all region of LiDAR observation need to be interpolated using appropriate spatial interpolation methods. In this paper, based on the monthly surface observation values in individual years (1981–2010) of Sichuan province observation stations, we firstly analyze the effects of three common interpolation methods, including inverse distance weighting (IDW), ordinary kriging (OK) and gradient plus inverse distance squared (GIDS). To solve the problem of low interpolation accuracy in severely undulating terrain area, an improved gradient distance inverse square method based on the adiabatic lapse rate (GIDS-ALR) is proposed. The experimental results show that the GIDS-ALR has an obvious improvement in the effect of severely undulating terrain, where the absolute error has been improved by more than 43% in average. Additionally, the temperature-interpolated MAE is reduced by more than 30%. The effectiveness and applicability of the proposed method is verified in this paper.