remote sensing Article Remote Sensing of Tropical Rainforest Biomass Changes in Hainan Island, China from 2003 to 2018 Meizhi Lin 1,2,3,†, Qingping Ling 3,†, Huiqing Pei 4,†, Yanni Song 3, Zixuan Qiu 1,2,3,* , Cai Wang 3, Tiedong Liu 3 and Wenfeng Gong 3 1 Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants, Ministry of Education, College of Forestry, Hainan University, Haikou 570228, China;
[email protected] 2 Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China 3 Intelligent Forestry Key Laboratory of Haikou City, College of Forestry, Hainan University, Haikou 570228, China;
[email protected] (Q.L.);
[email protected] (Y.S.);
[email protected] (C.W.);
[email protected] (T.L.);
[email protected] (W.G.) 4 Department of Global Agricultural Sciences, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan;
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[email protected]; Tel.: +86-15600804604 † These authors contributed equally to this work. Abstract: The largest area of tropical rainforests in China is on Hainan Island, and it is an important part of the world’s tropical rainforests. The structure of the tropical rainforests in Hainan is complex, the biomass density is high, and conducting ground surveys is difficult, costly, and time-consuming. Remote sensing is a good monitoring method for biomass estimation. However, the saturation phenomenon of such data from different satellite sensors results in low forest biomass estimation accuracy in tropical rainforests with high biomass density.