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

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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: DAI Shengpei, LUO Hongxia, ZHENG Qian, HU Yingying, LI Hailiang, LI Maofen, YU Xuan, CHEN Bangqian
Formato: article
Lenguaje:EN
ZH
Publicado: Editorial Office of Smart Agriculture 2021
Materias:
Acceso en línea:https://doaj.org/article/d63fc6aa0ac445d9809a311f58402d63
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:d63fc6aa0ac445d9809a311f58402d63
record_format dspace
spelling oai:doaj.org-article:d63fc6aa0ac445d9809a311f58402d632021-11-17T07:52:11ZComparison of Remote Sensing Estimation Models for Leaf Area Index of Rubber Plantation in Hainan Island2096-809410.12133/j.smartag.2021.3.2.202106-SA003https://doaj.org/article/d63fc6aa0ac445d9809a311f58402d632021-06-01T00:00:00Zhttp://www.smartag.net.cn/article/2021/2096-8094/2096-8094-2021-3-2-45.shtmlhttps://doaj.org/toc/2096-8094Leaf 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.DAI ShengpeiLUO HongxiaZHENG QianHU YingyingLI HailiangLI MaofenYU XuanCHEN BangqianEditorial Office of Smart Agriculturearticleleaf area index (lai)rubber plantationremote sensingestimation modelhainan islandAgriculture (General)S1-972Technology (General)T1-995ENZH智慧农业, Vol 3, Iss 2, Pp 45-54 (2021)
institution DOAJ
collection DOAJ
language EN
ZH
topic leaf area index (lai)
rubber plantation
remote sensing
estimation model
hainan island
Agriculture (General)
S1-972
Technology (General)
T1-995
spellingShingle leaf area index (lai)
rubber plantation
remote sensing
estimation model
hainan island
Agriculture (General)
S1-972
Technology (General)
T1-995
DAI Shengpei
LUO Hongxia
ZHENG Qian
HU Yingying
LI Hailiang
LI Maofen
YU Xuan
CHEN Bangqian
Comparison of Remote Sensing Estimation Models for Leaf Area Index of Rubber Plantation in Hainan Island
description 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.
format article
author DAI Shengpei
LUO Hongxia
ZHENG Qian
HU Yingying
LI Hailiang
LI Maofen
YU Xuan
CHEN Bangqian
author_facet DAI Shengpei
LUO Hongxia
ZHENG Qian
HU Yingying
LI Hailiang
LI Maofen
YU Xuan
CHEN Bangqian
author_sort DAI Shengpei
title Comparison of Remote Sensing Estimation Models for Leaf Area Index of Rubber Plantation in Hainan Island
title_short Comparison of Remote Sensing Estimation Models for Leaf Area Index of Rubber Plantation in Hainan Island
title_full Comparison of Remote Sensing Estimation Models for Leaf Area Index of Rubber Plantation in Hainan Island
title_fullStr Comparison of Remote Sensing Estimation Models for Leaf Area Index of Rubber Plantation in Hainan Island
title_full_unstemmed Comparison of Remote Sensing Estimation Models for Leaf Area Index of Rubber Plantation in Hainan Island
title_sort comparison of remote sensing estimation models for leaf area index of rubber plantation in hainan island
publisher Editorial Office of Smart Agriculture
publishDate 2021
url https://doaj.org/article/d63fc6aa0ac445d9809a311f58402d63
work_keys_str_mv AT daishengpei comparisonofremotesensingestimationmodelsforleafareaindexofrubberplantationinhainanisland
AT luohongxia comparisonofremotesensingestimationmodelsforleafareaindexofrubberplantationinhainanisland
AT zhengqian comparisonofremotesensingestimationmodelsforleafareaindexofrubberplantationinhainanisland
AT huyingying comparisonofremotesensingestimationmodelsforleafareaindexofrubberplantationinhainanisland
AT lihailiang comparisonofremotesensingestimationmodelsforleafareaindexofrubberplantationinhainanisland
AT limaofen comparisonofremotesensingestimationmodelsforleafareaindexofrubberplantationinhainanisland
AT yuxuan comparisonofremotesensingestimationmodelsforleafareaindexofrubberplantationinhainanisland
AT chenbangqian comparisonofremotesensingestimationmodelsforleafareaindexofrubberplantationinhainanisland
_version_ 1718425893150392320