A Method to Estimate Clear-Sky Albedo of Paddy Rice Fields

Abstract

As a major crop type in the global agroecosystem, paddy rice fields contribute to global greenhouse gas emissions. Surface albedo plays a vital role in estimating carbon emissions. However, it is difficult to find a broadband albedo estimation over paddy rice fields. The objective of this study was to derive an applicable method to improve albedo estimation over a paddy rice field. Field multiangle reflectance and surface albedo were collected throughout the growing season. A physically based model (AMBRALS) was utilized to reconstruct the directional reflectance into the spectral albedo. Multiple spectral albedos (at the wavelengths of 470, 550, 660, 850, 1243, 1640 and 2151 nm) were calculated, and new narrowband to broadband conversion coefficients were derived between the observed spectral albedo and broadband albedo. The conversion schemes showed high consistency with the field albedo observations in the shortwave (285–3000 nm), infrared (700–3000 nm), and visible (400–700 nm) bands. This method can help improve albedo estimation in partially submerged environments.

Correction: Sun et al. A Method to Estimate Clear-Sky Albedo of Paddy Rice Fields. Remote Sens. 2022, 14, 5185

“…Due to earlier negligence regarding the author's contribution, the authorship of the paper [1] should be rearranged. After careful discussion and with the consensus of all existing authors, Professor Hongliang Fang should be added as a co-author.…”