Remote Sensing Estimation for Aquacultural Algae Yield of Sea Area Based on Water Spectral Analysis

Abstract

Mariculture yield estimation has an important significance in scientific planning and management of aquaculture scale. This study focused on the algae culture of sea area. The feasibility of constructing a remote sensing quantitative model for estimating the yield of algae culture was investigated through spectral characteristics analysis of sea water. Multi-source remote sensing data were used to analyse the spectral characteristics of sea water for coastal aquaculture. Low-pass filtering and threshold segmentation were used to classify algae culture areas. An estimation model was established based on trend yield and algae index for remote sensing quantitative estimation of the annual yield of algae culture. Results demonstrate that (1) the difference in spectral characteristics is mainly reflected in the blue-green band, the spectral reflectance of cultured shellfish is greater than that of cultured algae and the sensitive growth period is from February to April every year. (2) The total yield of algae culture estimated by counting the area of algae culture in Shandong Province is 520699 tons in 2019. This study shows the high accuracy and feasibility of remote sensing quantitative estimation model of algae culture yield.