基于4-Scale模型的人工林郁闭度遥感估测

doi:10.12302/j.issn.1000-2006.202108045

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南京林业大学学报（自然科学版） ›› 2023, Vol. 47 ›› Issue (1): 23-30.doi: 10.12302/j.issn.1000-2006.202108045

所属专题：智慧林业之森林参数遥感估测

• 专题报道Ⅰ:智慧林业之森林参数遥感估测 • 上一篇下一篇

基于4-Scale模型的人工林郁闭度遥感估测

何萍(), 于颖(), 范文义, 杨曦光

森林生态系统可持续经营教育部重点实验室,东北林业大学林学院,黑龙江哈尔滨 150040

收稿日期:2021-08-26 接受日期:2021-10-28 出版日期:2023-01-30 发布日期:2023-02-01
通讯作者: 于颖
基金资助:
国家自然科学基金面上项目(31870621);国家自然科学基金面上项目(31971580)

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

摘要/Abstract

摘要： 【目的】 为了寻找受区域影响较小、精度较高且鲁棒性较好的郁闭度遥感估算模型,采用4-Scale几何光学模型估算人工林树冠孔隙率及郁闭度。【方法】 选择内蒙古旺业甸林场和广西高峰林场为实验区,首先对4-Scale模型进行参数敏感性分析,模拟林分在不同敏感性参数下的树冠孔隙率P_{vg_c}(树冠为刚体时的冠间孔隙率)和P_vg(考虑树冠内部孔隙的孔隙率),建立P_{vg_c}、P_vg与敏感性参数的一一对应关系数据库。其次,根据数据库建立P_{vg_c}和P_vg与敏感性参数的统计关系模型。然后根据获得的敏感性参数估算P_{vg_c}和P_vg,进而估算林分郁闭度。最后,分别采用样线法与鱼眼相机测定法测量的郁闭度检验基于P_{vg_c}和P_vg估算的林分郁闭度。【结果】 基于 P_{vg_c}和P_vg估算的人工林郁闭度精度分别为88.17%和92.8%。P_{vg_c}与敏感性参数林木株数和冠半径相关性更高,模型的R²和均方根误差(RMSE)分别为0.814和0.043。P_vg与敏感性参数LAI的相关性更高,模型的R²和RMSE分别为0.795和0.040。【结论】 P_{vg_c}和P_vg均可以用来估算人工林郁闭度,虽然P_vg估算郁闭度的精度更高,但是其估算的郁闭度不是林业上定义的郁闭度,林业上定义的郁闭度指树冠为刚体时冠层垂直投影面积比。因此,采用P_{vg_c}估算人工林郁闭度更加准确。应在获得树木株数与树冠半径的基础上,采用P_{vg_c}估算人工林郁闭度。

关键词: 4-Scale模型, 郁闭度, 鱼眼相机, 样线法, 叶面积指数

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)

中图分类号:

S771.8

何萍,于颖,范文义,等. 基于4-Scale模型的人工林郁闭度遥感估测[J]. 南京林业大学学报（自然科学版）, 2023, 47(1): 23-30.

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 (Natural Science Edition), 2023, 47(1): 23-30.DOI: 10.12302/j.issn.1000-2006.202108045.

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参考文献 31

[1]	濮毅涵, 徐丹丹, 王浩斌. 基于数码相片的林冠郁闭度提取方法研究[J]. 林业资源管理, 2020(6): 153-160.
	PU Y H, XU D D, WANG H B. An approach on estimating canopy closure via digital images[J]. For Resour Manag, 2020(6): 153-160. DOI: 10.13466/j.cnki.lyzygl.2020.06.024. doi: 10.13466/j.cnki.lyzygl.2020.06.024
[2]	CHEN G S, LOU T T, JING W P, et al. Sparkpr: an efficient parallel inversion of forest canopy closure[J]. IEEE Access, 2019, 7:135949-135956. DOI: 10.1109/ACCESS.2019.2941966. doi: 10.1109/ACCESS.2019.2941966
[3]	FERHAT K, OSMAN T. Onset of canopy closure for black pine, Turkish red pine and Scots pine forests[J]. J For Sci, 2018, 64(5): 224-229. DOI: 10.17221/153/2017-JFS. doi: 10.17221/153/2017-JFS
[4]	FIALA A C S, GARMAN S L, GRAY A N. Comparison of five canopy cover estimation techniques in the western Oregon Cascades[J]. For Ecol Manag, 2006, 232(1/2/3): 188-197. DOI: 10.1016/j.foreco.2006.05.069. doi: 10.1016/j.foreco.2006.05.069
[5]	OKIN G S, CLARKE K D, LEWIS M M. Comparison of methods for estimation of absolute vegetation and soil fractional cover using MODIS normalized BRDF-adjusted reflectance data[J]. Remote Sens Environ, 2013, 130: 266-279. DOI: 10.1016/j.rse.2012.11.021. doi: 10.1016/j.rse.2012.11.021
[6]	KORHONEN L, KORHONEN K T, RAUTIAINEN M, et al. Estimation of forest canopy cover: a comparison of field measurement techniques[J]. Silva Fenn, 2006, 40(4): 577-588. DOI: 10.14214/sf.315. doi: 10.14214/sf.315
[7]	PALETTO A, TOSI V. Forest canopy cover and canopy closure: comparison of assessment techniques[J]. Eur J Forest Res, 2009, 128(3): 265-272. DOI: 10.1007/s10342-009-0262-x. doi: 10.1007/s10342-009-0262-x
[8]	O’BRIEN R A. Comparison of overstory canopy cover estimates on forest survey plots[J]. Usda for Serv Int Res Pap, 1989, 1989(417): 1-5.
[9]	LI J R, MAO X G. Comparison of canopy closure estimation of plantations using parametric, semi-parametric, and non-parametric models based on GF-1 remote sensing images[J]. Forests, 2020, 11(5): 597. DOI: 10.3390/f11050597. doi: 10.3390/f11050597
[10]	AHMED O S, FRANKLIN S E, WULDER M A, et al. Characterizing stand-level forest canopy cover and height using Landsat time series, samples of airborne LiDAR, and the Random Forest algorithm[J]. ISPRS J Photogram Remote Sens, 2015, 101: 89-101. DOI: 10.1016/j.isprsjprs.2014.11.007. doi: 10.1016/j.isprsjprs.2014.11.007
[11]	MARVIN D C, ASNER G P, SCHNITZER S A. Liana canopy cover mapped throughout a tropical forest with high-fidelity imaging spectroscopy[J]. Remote Sens Environ, 2016, 176: 98-106. DOI: 10.1016/j.rse.2015.12.028. doi: 10.1016/j.rse.2015.12.028
[12]	GUNLU A, BASKENT E Z. Estimating crown closure of forest stands using landsat tm data: a case study from Turkey[J]. Environ Eng Manag J, 2015, 14(1): 183-193. DOI: 10.30638/eemj.2015.019. doi: 10.30638/eemj.2015.019
[13]	TONG S Q, ZHANG J Q, HA S, et al. Dynamics of fractional vegetation coverage and its relationship with climate and human activities in Inner Mongolia, China[J]. Remote Sens, 2016, 8(9): 776. DOI: 10.3390/rs8090776. doi: 10.3390/rs8090776
[14]	XIAO Q, TAO J P, XIAO Y, et al. Monitoring vegetation cover in Chongqing between 2001 and 2010 using remote sensing data[J]. Environ Monit Assess, 2017, 189(10): 493. DOI: 10.1007/s10661-017-6210-1. doi: 10.1007/s10661-017-6210-1 pmid: 28884302
[15]	TANG L, HE M Z, LI X R. Verification of fractional vegetation coverage and NDVI of desert vegetation via UAVRS technology[J]. Remote Sens, 2020, 12(11): 1742. DOI: 10.3390/rs12111742. doi: 10.3390/rs12111742
[16]	FENG L L, JIA Z Q, LI Q X, et al. Spatiotemporal change of sparse vegetation coverage in northern China[J]. J Indian Soc Remote Sens, 2019, 47(2): 359-366. DOI: 10.1007/s12524-018-0912-x. doi: 10.1007/s12524-018-0912-x
[17]	JACQUEMOUD S. Inversion of the PROSPECT+SAIL canopy reflectance model from AVIRIS equivalent spectra: theoretical study[J]. Remote Sens Environ, 1993, 44(2/3): 281-292. DOI: 10.1016/0034-4257(93)90022-P. doi: 10.1016/0034-4257(93)90022-P
[18]	谷成燕, 杜华强, 周国模, 等. 基于PROSAIL辐射传输模型的毛竹林叶面积指数遥感反演[J]. 应用生态学报, 2013, 24(8): 2248-2256.
	GU C Y, DU H Q, ZHOU G M, et al. Retrieval of leaf area index of Moso bamboo forest with Landsat Thematic Mapper image based on PROSAIL canopy radiative transfer model[J]. Chin J Appl Ecol, 2013, 24(8): 2248-2256. DOI: 10.13287/j.1001-9332.2013.0383. doi: 10.13287/j.1001-9332.2013.0383
[19]	GU C Y, DU H Q, MAO F J, et al. Global sensitivity analysis of PROSAIL model parameters when simulating Moso bamboo forest canopy reflectance[J]. Int J Remote Sens, 2016, 37(21/22): 5270-5286. DOI: 10.1080/01431161.2016.1239287. doi: 10.1080/01431161.2016.1239287
[20]	LI X, STRAHLER A H. Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: effect of crown shape and mutual shadowing[J]. IEEE Trans Geosci Remote Sens, 1992, 30(2): 276-292. DOI: 10.1109/36.134078. doi: 10.1109/36.134078
[21]	ZENG Y, SCHAEPMAN M E, WU B F, et al. Scaling-based forest structural change detection using an inverted geometric-optical model in the Three Gorges region of China[J]. Remote Sens Environ, 2008, 112(12): 4261-4271. DOI: 10.1016/j.rse.2008.07.007. doi: 10.1016/j.rse.2008.07.007
[22]	CHEN J M, CIHLAR J. Plant canopy gap-size analysis theory for improving optical measurements of leaf-area index[J]. Appl Opt, 1995, 34(27): 6211-6222. DOI: 10.1364/AO.34.006211. doi: 10.1364/AO.34.006211
[23]	CHEN J M, LEBLANC S G. A four-scale bidirectional reflectance model based on canopy architecture[J]. IEEE Trans Geosci Remote Sens, 1997, 35(5): 1316-1337. DOI: 10.1109/36.628798. doi: 10.1109/36.628798
[24]	VERSTRAETE M M, PINTY B, MYNENI R B. Potential and limitations of information extraction on the terrestrial biosphere from satellite remote sensing[J]. Remote Sens Environ, 1996, 58(2): 201-214. DOI: 10.1016/S0034-4257(96)00069-7. doi: 10.1016/S0034-4257(96)00069-7
[25]	CHEN J M. Canopy architecture and remote sensing of the fraction of photosynthetically active radiation absorbed by boreal conifer forests[J]. IEEE Trans Geosci Remote Sens, 1996, 34(6):1353-1368. DOI: 10.1109/36.544559. doi: 10.1109/36.544559
[26]	孙振峰, 张晓丽, 李霓雯. 机载与星载高分遥感影像单木树冠分割方法和适宜性对比[J]. 北京林业大学学报, 2019, 41(11): 66-75.
	SUN Z F, ZHANG X L, LI N W. Comparison of individual tree crown extraction method and suitability of airborne and spaceborne high-resolution remote sensing images[J]. J Beijing For Univ, 2019, 41(11): 66-75. DOI: 10.13332/j.1000-1522.20180446. doi: 10.13332/j.1000-1522.20180446
[27]	PU R L, GONG P, YU Q. Comparative analysis of EO-1 Ali and Hyperion, and Landsat ETM+ Data for mapping forest crown closure and leaf area index[J]. Sensors (Basel), 2008, 8(6): 3744-3766. DOI: 10.3390/s8063744. doi: 10.3390/s8063744
[28]	PU R L, GONG P. Wavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping[J]. Remote Sens Environ, 2004, 91(2): 212-224. DOI: 10.1016/j.rse.2004.03.006. doi: 10.1016/j.rse.2004.03.006
[29]	刘婧怡, 汤旭光, 常守志, 等. 森林叶面积指数遥感反演模型构建及区域估算[J]. 遥感技术与应用, 2014, 29(1): 18-25.
	LIU J Y, TANG X G, CHANG S Z, et al. Application of remote sensing to inverse the forest leaf area index and regional estimation[J]. Remote Sens Technol Appl, 2014, 29(1): 18-25. DOI: 10.11873/j.issn.1004-0323.2014.1.0018. doi: 10.11873/j.issn.1004-0323.2014.1.0018
[30]	ZHAO J, LI J, LIU Q H, et al. Estimating fractional vegetation cover from leaf area index and clumping index based on the gap probability theory[J]. Int J Appl Earth Obs Geoinformation, 2020, 90: 102-112. DOI: 10.1016/j.jag.2020.102112. doi: 10.1016/j.jag.2020.102112
[31]	XIAO Z Q, WANG T T, LIANG S L, et al. Estimating the fractional vegetation cover from GLASS leaf area index product[J]. Remote Sens, 2016, 8(4): 337. DOI: 10.3390/rs8040337. doi: 10.3390/rs8040337

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

基于4-Scale模型的人工林郁闭度遥感估测

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

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