Study on spatial and temporal variation of forest fractional vegetation cover in Liyang based on multi-source remote sensing data

doi:10.12302/j.issn.1000-2006.202204048

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (6): 183-191.doi: 10.12302/j.issn.1000-2006.202204048

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Study on spatial and temporal variation of forest fractional vegetation cover in Liyang based on multi-source remote sensing data

WANG Yanfang¹(), TAN Lu¹, GUO Hongli², WU Fang², QI Fei³, MENG Wenting¹, XU Yannan¹^,^*()

1. College of Forestry and Grassland, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
2. Jiangsu Hydrology and Water Resources Investigation Bureau,Nanjing210009, China
3. Jiangsu Hydraulic Science Institute,Nanjing 210017, China

Received:2022-04-20 Revised:2022-06-07 Online:2023-11-30 Published:2023-11-23

Abstract

Abstract:

【Objective】This research aims to study the accuracy variation of forest fractional vegetation cover (FVC) extraction using images with different spatial resolutions in each season. The results can provide theoretical support and serve as a useful reference for choosing suitable remote sensing images to extract forest FVC. 【Method】 Selecting the forest area in Liyang, Jiangsu Province for the study, several commonly used remote sensing images with different spatial resolutions, such as Sentinel-2, Landsat-8, and MODIS were used to extract FVC based on the dimidiate pixel model. The spatial variability of FVC in different seasons was analyzed by using the semi-variance function. In addition, the confusion matrix was adopted to compare the accuracy of FVC extracted with different resolutions in each season. 【Result】 (1) The semi-variance function could effectively depict the spatial variability of FVC. The seasonal differences in spatial variability of FVC indicated the following order: winter>spring>autumn>summer. (2) Significant differences between FVC extracted using images with different spatial resolution were detected at the water-land junction and the edge of forest patch. The extraction accuracy of FVC with different resolutions indicated the following order: summer>autumn>spring>winter. In summer, the extraction accuracies of FVC using 30, 250 and 500 m resolutions were 90.99%, 76.28% and 76.71%, respectively. (3) The level of vegetation cover could affect the accuracy of FVC extraction significantly. The extraction accuracy for high vegetation cover was greater than that for other cover levels, and accordingly, the accuracy of FVC extracted from low-resolution images was enhanced in summer when vegetation grows abundantly. 【Conclusion】 The need for high-resolution imagery varied with the levels of FVC. It was more practical to extract FVC using low-resolution images in summer. The study findings are useful to improve the accuracy and efficiency of dynamic monitoring for vegetation.

Key words: fractional vegetation cover, Sentinel-2, Landsat-8, moderate-resolution imaging spectroradiometer(MODIS), semi-variance, Liyang,Jingsu Privince

CLC Number:

P237
TP7

WANG Yanfang, TAN Lu, GUO Hongli, WU Fang, QI Fei, MENG Wenting, XU Yannan. Study on spatial and temporal variation of forest fractional vegetation cover in Liyang based on multi-source remote sensing data[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(6): 183-191.

Figures/Tables 9

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References 29

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季节 season	时间(年-月-日)data(year-month-day)
季节 season	Sentinel-2 (10 m)	Landsat-8 (30 m)	MOD13Q1 (250 m)	MOD13A1 (500 m)
春spring	2017-04-29	2017-04-23	2017-04-23	2017-04-23
夏summer	2017-07-28	2017-07-28	2017-07-28	2017-07-28
秋autumn	2017-10-31	2017-11-01	2017-11-01	2017-11-01
冬winter	2017-12-20	2017-12-19	2017-12-19	2017-12-19

序号 No.	等级 levels	植被覆盖度/% FVC
1	低覆盖	<30
2	中低覆盖	[30,45)
3	中覆盖	[45,60)
4	中高覆盖	[60,75)
5	高覆盖	≥75

季节 season	R²	基台值(c) sill	块金值(c₀) nugget	变程(a) range
春spring	0.954	0.007 46	0.001 30	169
夏summer	0.949	0.004 10	0.000 50	122
秋autumn	0.933	0.009 47	0.001 17	171
冬winter	0.948	0.021 19	0.006 59	252

FVC等级 coverage level		面积/hm² area					生产者精度/% producer’s accuracy	使用者精度/% user’s accuracy
FVC等级 coverage level		低 low	中低 medium-low	中 medium	中高 medium-high	高 high	生产者精度/% producer’s accuracy	使用者精度/% user’s accuracy
低覆盖 low	FVC_30m	17.13	11.57	5.49	2.46	14.18	33.70	57.20
	FVC_250m	0.61	0.26	3.47	15.53	30.96	1.20	1.44
	FVC_500m	0.04	0.22	5.32	22.84	22.41	0.08	0.45
中低覆盖 medium-low	FVC_30m	11.68	54.79	48.26	15.44	64.08	28.21	55.77
	FVC_250m	1.14	2.92	11.77	56.74	121.68	1.50	2.14
	FVC_500m	0.31	3.69	11.19	68.66	110.40	1.90	5.90
中覆盖 medium	FVC_30m	0.85	24.98	98.48	94.87	78.92	33.04	38.30
	FVC_250m	1.17	4.62	17.66	89.73	184.92	5.92	6.08
	FVC_500m	0.41	5.92	14.22	99.99	177.56	4.77	4.54
中高覆盖 medium-high	FVC_30m	0.25	5.56	63.66	230.19	267.64	40.58	30.30
	FVC_250m	2.27	7.27	29.59	151.65	376.52	26.73	7.34
	FVC_500m	0.58	8.08	26.14	165.20	367.30	29.12	7.71
高覆盖 high	FVC_30m	0.04	1.35	41.23	416.81	11 403.65	96.13	96.41
	FVC_250m	37.06	121.29	227.81	1 753.16	9 723.76	81.97	93.16
	FVC_500m	7.54	44.58	256.06	1 785.59	9 769.31	82.35	93.51

Study on spatial and temporal variation of forest fractional vegetation cover in Liyang based on multi-source remote sensing data

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