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Smart Agriculture ?? 2021, Vol. 3 ?? Issue (2): 45-54.doi: 10.12133/j.smartag.2021.3.2.202106-SA003

? 專題--空間信息技術農業應用 ? 上一篇    下一篇

海南島橡膠林葉面積指數遙感估算模型比較研究

戴聲佩1,2, 羅紅霞1,2, 鄭倩1,2, 胡盈盈1,2, 李海亮1,2, 李茂芬1,2, 禹萱1,2, 陳幫乾3   

  1. 1.農業農村部農業遙感重點實驗室,北京 100081
    2.中國熱帶農業科學院科技信息研究所/海南省熱帶作物信息技術應用研究重點實驗室,海南 ???571101
    3.中國熱帶農業科學院橡膠研究所,海南 ???571101
  • 收稿日期:2021-06-03 修回日期:2021-06-28 出版日期:2021-06-30 發布日期:2021-08-25
  • 基金資助:
    農業農村部農業遙感重點實驗室開放基金項目(2016005);海南省自然科學基金面上項目(619MS100)
  • 通訊作者: 戴聲佩

Comparison of Remote Sensing Estimation Models for Leaf Area Index of Rubber Plantation in Hainan Island

DAI Shengpei1,2, LUO Hongxia1,2, ZHENG Qian1,2, HU Yingying1,2, LI Hailiang1,2, LI Maofen1,2, YU Xuan1,2, CHEN Bangqian3   

  1. 1.Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs, Beijing 100081, China
    2.Institute of Scientific and Technical Information, Chinese Academy of Tropical Agricultural Sciences/Key Laboratory of Applied Research on Tropical Crop Information Technology of Hainan Province, Haikou 571101, China
    3.Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
  • Received:2021-06-03 Revised:2021-06-28 Online:2021-06-30 Published:2021-08-25
  • corresponding?author: Shengpei DAI

摘要:

葉面積指數(LAI)是描述植被生長狀況和冠層結構的一個重要參數,快速獲取大面積植被與作物LAI對于生態系統科學研究、農林業生產指導具有十分重要的理論和實踐意義。本研究選取海南島典型熱帶作物——橡膠樹為研究對象,構建基于衛星遙感植被指數的橡膠林LAI估算模型并分析其變化規律。結果表明,相較于歸一化植被指數(NDVI)、綠色歸一化植被指數(GNDVI)、比值植被指數(RVI)和寬動態范圍植被指數(WDRVI)四個指數,增強植被指數(EVI)、土壤調節植被指數(SAVI)、差值植被指數(DVI)和改良土壤調節植被指數(MSAVI)四個指數同LAI之間的相關性較高。構建的基于不同植被指數的橡膠林LAI估算模型(一元線性、指數和對數模型)中,基于EVI指數的橡膠林LAI一元線性估算模型效果最佳,其決定系數R2為0.69。經驗證,該模型估算的橡膠林LAI精度較高,觀測和模擬的橡膠林LAI線性擬合R2為0.67,均方根誤差RMSE為0.16,平均相對誤差RE為-0.25%,但在橡膠林LAI中值區存在低估現象,同時在LAI高值區和低值區存在一定的高估現象。從空間分布來看,海南島橡膠林LAI高值區(4.40~6.23)主要分布在海南島西部儋州、白沙等市縣,LAI中值區(3.80~4.40)主要分布在海南島中部澄邁、屯昌、瓊中等市縣,LAI低值區(2.69~3.80)主要分布在海南島東部和南部的定安、瓊海、萬寧、樂東、三亞等市縣??傊?,構建的基于EVI指數的橡膠林LAI一元線性估算模型精度較高,克服了NDVI、GNDVI、RVI等植被指數容易出現指數飽和問題,具有較好的科學性和良好的推廣應用價值。

關鍵詞: 葉面積指數, 橡膠林, 遙感, 估算模型, 海南島

Abstract:

Leaf area index (LAI) is an important index to describe the growth status and canopy structure of vegetation, is of great theoretical and practical significance to quickly obtain LAI of large area vegetation and crops for ecosystem science research and agricultural & forestry production guidance. In this study, the typical tropical crop rubber tree in Hainan Island was selected as the research area, the LAI estimation model of rubber plantation based on satellite remote sensing vegetation indices was constructed, and its spatiotemporal variation was analyzed. The results showed that, compared with correlations between LAI and the indices of normalized difference vegetation index (NDVI), green NDVI (GNDVI), ratio vegetation index (RVI) and wide dynamic range vegetation index (WDRVI), correlations were higher between LAI and the indices of enhanced vegetation index (EVI), soil adjusted vegetation index (SAVI), difference vegetation index (DVI) and modified soil adjusted vegetation index (MSAVI). Among the LAI estimation models based on different vegetation indices (linear, exponential and logarithmic models), the linear estimation model based on EVI index was the best, and its coefficient of determination (R2) was 0.69. The accuracy of LAI estimation model was high. The linear fitting R2 of observed and simulated LAI was 0.67, the root mean square error (RMSE) was 0.16, and the average relative error (RE) was -0.25%. However, there was underestimation in the middle value and overestimation in the high and low value area of LAI. The high LAI values (4.40-6.23) were mainly distributed in Danzhou and Baisha in the west of Hainan Island, the middle LAI values (3.80-4.40) were mainly distributed in Chengmai, Tunchang and Qiongzhong in the middle of Hainan Island, and the low LAI values (2.69-3.80) were mainly distributed in Ding'an, Qionghai, Wanning, Ledong and Sanya in the east and south of Hainan Island. In summary, the linear estimation model for rubber plantation LAI based on EVI index obtained high accuracy, and has good values of popularization and appliance.

Key words: leaf area index (LAI), rubber plantation, remote sensing, estimation model, Hainan Island

中圖分類號: 

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