文献类型： 外文期刊

作者： Li, Caihui ¹ ; Chen, Bangqian ² ; Wang, Xincheng ² ; Ong-Abdullah, Meilina ⁴ ; Wu, Zhixiang ² ; Lan, Guoyu ² ; Azmi Tohiran, Kamil ⁴ ; Amit, Bettycopa ⁴ ; Lai, Hongyan ² ; Wang, Guizhen ² ; Yun, Ting ³ ; Kou, Weili ¹ ;

作者机构： 1.Southwest Forestry Univ, Coll Soil & Water Conservat, Kunming 650233, Peoples R China

2.Chinese Acad Trop Agr Sci, Rubber Res Inst, State Key Lab Incubat Base Cultivat & Physiol Trop, Hainan Danzhou Agroecosyst Natl Observat & Res Stn, Haikou 571101, Peoples R China

3.Nanjing Forestry Univ, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing 210037, Peoples R China

4.Malaysian Palm Oil Board, Biol & Sustainabil Res Div, 6 Persiaran Inst, Kajang 43000, Selangor Darul, Malaysia

关键词： oil palm mapping; age structure analysis; Landsat-Sentinel integration; LandTrendr; oilseed crop

期刊名称：REMOTE SENSING （ 影响因子：4.1； 五年影响因子：4.8 ）

ISSN：

年卷期： 2025 年 17 卷 16 期

页码：

收录情况： SCI

摘要： Mapping the oil palm (Elaeis guineensis), the globally leading oil-bearing crop and a crucial industrial commodity, is of vital importance for food security and raw material supply. However, existing remote sensing approaches for oil palm mapping present several methodological challenges including temporal resolution constraints, suboptimal feature parameterization, and limitations in age structure assessment. This study addresses these gaps by systematically optimizing temporal, spatial, and textural parameters for enhanced oil palm mapping and age structure analysis through integration of Landsat 4/5/7/8/9, Sentinel-2 multispectral, and Sentinel-1 radar data (LSMR). Analysis of oil palm distribution and dynamics in Malaysia revealed several key insights: (1) Methodological optimization: The integrated LSMR approach achieved 94% classification accuracy through optimal parameter configuration (3-month temporal interval, 3-pixel median filter, and 3 x 3 GLCM window), significantly outperforming conventional single-sensor approaches. (2) Age estimation capabilities: The adapted LandTrendr algorithm enabled precise estimation of the plantation establishment year with an RMSE of 1.14 years, effectively overcoming saturation effects that limit traditional regression-based methods. (3) Regional expansion patterns: West Malaysia exhibits continued plantation expansion, particularly in Johor and Pahang states, while East Malaysia shows significant contraction in Sarawak (3.34 x 105 hectares decline from 2019-2023), with both regions now converging toward similar topographic preferences (100-120 m elevation, 6-7 degrees slopes). (4) Age structure concerns: Analysis identified a critical "replanting gap" with 13.3% of plantations exceeding their 25-year optimal lifespan and declining proportions of young plantations (from 60% to 47%) over the past five years. These findings provide crucial insights for sustainable land management strategies, offering policymakers an evidence-based framework to balance economic productivity with environmental conservation while addressing the identified replanting gap in one of the world's most important agricultural commodities.