Remote sensing estimation of plantation canopy closure based on 4-Scale model

doi:10.12302/j.issn.1000-2006.202108045

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (1): 23-30.doi: 10.12302/j.issn.1000-2006.202108045

Special Issue: 智慧林业之森林参数遥感估测

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Remote sensing estimation of plantation canopy closure based on 4-Scale model

HE Ping(), YU Ying(), FAN Wenyi, YANG Xiguang

Key Laboratory of Sustainable Forest Ecosystem Management, Ministry of Education, College of Forestry, Northeast Forestry University, Harbin 150040, China

Received:2021-08-26 Accepted:2021-10-28 Online:2023-01-30 Published:2023-02-01
Contact: YU Ying E-mail:2416603957@qq.com;yuying4458@163.com

Abstract

Abstract:

【Objective】 Canopy closure is important for forest management planning. To find methods and models for estimating canopy closure that are less affected by the region, with higher accuracy and better robustness, the study adopted a 4-Scale geometric-optical model to estimate the canopy closure of plantations. 【Method】 Wangyedian Forest Farm in Inner Mongolia and Gaofeng Forest Farm in Guangxi Autonomons Region were selected as the study areas. First, a parameter sensitivity analysis of the 4-Scale model was performed, and the canopy gap fraction P_{vg_c} (the gap fraction when the canopy was a rigid body) and P_vg (the gap fraction of the gaps in a crown were considered) under different sensitivity parameters were simulated. Then, a one-to-one correspondence database of P_{vg_c}, P_vg and the sensitivity parameters was established. Second, statistical relationship models between P_{vg_c} and P_vg and the sensitivity parameters were established based on the database. Then, P_{vg_c} and P_vg were estimated based on the sensitivity parameters, and the stand canopy closure was estimated. Finally, the canopy closure measured by the transects and the fish eye camera measurement method were used to test the canopy closure based on P_{vg_c} and P_vg respectively. 【Result】 The accuracy of plantation canopy closure estimated by P_{vg_c} and P_vg was 88.17% and 92.8%, respectively. P_{vg_c} had a higher correlation with the number of trees and crown radius. The R² and RMSE values of the model are 0.814 and 0.043, respectively. The correlation between P_vg and LAI was high, and the R² and RMSE of the model were 0.795 and 0.040, respectively. 【Conclusion】 Both P_{vg_c} and P_vg can be used to estimate canopy closure in plantations. Although P_vg has higher accuracy in estimating canopy closure, the estimated canopy closure is not the canopy closure defined in forestry. Canopy closure is defined as the ratio of the vertical projection area of the canopy when it is a rigid body. Therefore, the use of P_{vg_c} to estimate the canopy closure of plantations was more accurate. To obtain the number of trees and radius of the crown, P_{vg_c} was used to estimate the canopy closure of the plantation.

Key words: 4-Scale model, canopy closure, fisheye camera, transects, leaf area index (LAI)

CLC Number:

S771.8

HE Ping, YU Ying, FAN Wenyi, YANG Xiguang. Remote sensing estimation of plantation canopy closure based on 4-Scale model[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(1): 23-30.

Figures/Tables 9

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研究区域 study area	样地类型 plot type	样地数量 number of plots	样地面积/ m² area of plots	平均树高/m average tree height	平均冠幅/m average crown width	平均郁闭度 average canopy closure
旺业甸林场 Wangyedian Forest Farm	油松林 Pinus tabuliformis forest	16	625	11.3	3.22	0.67
	落叶松林 Larix gmelinii forest	7	625	14.2	2.94	0.61
高峰林场 Gaofeng Forest Farm	桉树林 Eucalyptus robusta forest	38	400	13.4	2.00	0.56

参数parameter	F'(P_vg)	F'(P_{vg_c})
冠半径radius of crown	0.118	0.684
冠长crown length	0	0
树冠圆锥半顶角half apex angle	0	0
聚集度指数clumping index	0.283	0
冠形shape of crown	0	0
叶面积指数leaf area index	0.571	0
树木株数number of trees	0.022	0.501

差异源 source	离差平方和 SS	自由度 df	均方 MS	F	P	F_crit
组间groups	6.38×10^-12	1	6.38×10^-12	7.1×10^-10	1.000	3.920
组内error	1.078	120	0.009
总计total	1.078	121

差异源 source	离差平方和 SS	自由度 df	均方 MS	F	P	F_crit
组间groups	0.004	1	0.004	0.564	0.454	3.920
组内error	0.887	120	0.007
总计total	0.891	121

Remote sensing estimation of plantation canopy closure based on 4-Scale model

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