Dynamic Monitoring Ability of Passive Microwave-based Vegetation Index for Different Vegetation Types

Fig. 2. Temporal variation characteristics of the monthly mean of vegetation index for high-biomass vegetation， time range January 2018 to September 2020

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Fig. 2. Temporal variation characteristics of the monthly mean of vegetation index for high-biomass vegetation， time range January 2018 to September 2020

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Fig. 3. Temporal variation characteristics of the monthly mean of vegetation index for medium-biomass vegetation， time range January 2018 to September 2020

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Fig. 4. Temporal variation characteristics of the monthly mean of vegetation index for low-biomass vegetation， time range January 2018 to September 2020

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Table 1. Table 1Screening criteria and results of pure pixels for12 typical vegetation types

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Table 1. Table 1Screening criteria and results of pure pixels for12 typical vegetation types

植被类型	筛选标准	样本点数	所在半球
常绿针叶林	$C_{c}$ >95, $C_{7}$ >85, $C_{w w s}$ =0, $C_{7_w w s}$ <5	183	N
常绿阔叶林	$C_{c}$ =100, $C_{11}$ >90, $C_{w w s}$ =0, $C_{11_w w s}$ =0	73 805	N&S
落叶针叶林	$C_{c}$ >80, $C_{3}$ >50, $C_{w w s}$ =0, $C_{3_w w s}$ <5	253	N
落叶阔叶林	$C_{c}$ >95, $C_{11}$ >85, $C_{w w s}$ =0, $C_{11_w w s}$ <5	125	S
混交林	$C_{c}$ >95, $C_{11}$ >85, $C_{w w s}$ =0, $C_{11_w w s}$ <5	128	N
郁闭灌木林	$C_{c}$ >95, $C_{7}$ >50, $C_{w w s}$ =0, $C_{7_w w s}$ <5	23	N
稀疏灌木林	$C_{c}$ >95, $C_{11}$ >85, $C_{w w s}$ =0, $C_{11_w w s}$ =0	51 364	S
有林草地	$C_{c}$ >90, $C_{11}$ >70, $C_{w w s}$ =0, $C_{1_w w s}$ <5	746	N
稀树草原	$C_{c}$ >95, $C_{11}$ >85, $C_{w w s}$ =0, $C_{11_w w s}$ <1	3 780	N
草地	$C_{c}$ =100, $C_{11}$ >95, $C_{w w s}$ =0, $C_{11_w w s}$ =0	48 840	N
农田	$C_{c}$ >95, $C_{11}$ >85, $C_{w w s}$ =0, $C_{11_w w s}$ <1	6 146	N
农田与自然植被镶嵌体	$C_{c}$ >80, $C_{7}$ >60, $C_{w w s}$ =0, $C_{7_w w s}$ <5	238	N
植被类型	筛选标准	样本点数	所在半球
常绿针叶林	$C_{c}$ >95, $C_{7}$ >85, $C_{w w s}$ =0, $C_{7_w w s}$ <5	183	N
常绿阔叶林	$C_{c}$ =100, $C_{21}$ >98, $C_{w w s}$ =0, $C_{21_w w s}$ =0	8 901	N&S
落叶针叶林	$C_{c}$ >80, $C_{3}$ >50, $C_{w w s}$ =0, $C_{3_w w s}$ <5	253	N
落叶阔叶林	$C_{c}$ >95, $C_{11}$ >85, $C_{w w s}$ =0, $C_{11_w w s}$ <5	125	S
混交林	$C_{c}$ >95, $C_{11}$ >85, $C_{w w s}$ =0, $C_{11_w w s}$ <5	128	N
郁闭灌木林	$C_{c}$ >95, $C_{7}$ >50, $C_{w w s}$ =0, $C_{7_w w s}$ <5	23	N
稀疏灌木林	$C_{c}$ =100, $C_{21}$ >98, $C_{w w s}$ =0, $C_{21_w w s}$ =0	3 323	S
有林草地	$C_{c}$ >90, $C_{11}$ >70, $C_{w w s}$ =0, $C_{7_w w s}$ <5	1 087	N
稀树草原	$C_{c}$ >95, $C_{11}$ >95, $C_{w w s}$ =0, $C_{11_w w s}$ <1	606	N
草地	$C_{c}$ >100, $C_{21}$ >98, $C_{w w s}$ =0, $C_{21_w w s}$ =0	1 862	N
农田	$C_{c}$ >95, $C_{11}$ >95, $C_{w w s}$ =0, $C_{11_w w s}$ <1	522	N
农田与自然植被镶嵌体	$C_{c}$ >80, $C_{7}$ >60, $C_{w w s}$ =0, $C_{7_w w s}$ <5	48	N

Table 2. Table 2Correlation coefficients of EVI， MPDI， MVI_B and EDVI with NDVI

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Table 2. Table 2Correlation coefficients of EVI， MPDI， MVI_B and EDVI with NDVI

编号	植被类型	EVI	MPDI	MVI_B	EDVI
1	常绿针叶林	0.83	-0.75	-0.04	0.67
2	常绿阔叶林	0.47	-0.54	-0.01	-0.42
3	落叶针叶林	0.99	-0.04	-0.76	0.76
4	落叶阔叶林	0.90	-0.44	-0.74	0.91
5	混交林	0.98	-0.61	-0.05	0.87
6	有林草地	0.99	-0.74	-0.82	0.78
7	郁闭灌木林	0.98	-0.85	-0.06	0.96
8	农田与自然植被镶嵌体	0.98	-0.59	-0.27	0.64
9	稀树草原	0.99	-0.90	-0.29	0.93
10	草地	0.97	-0.83	-0.80	0.55
11	农田	0.97	-0.74	-0.75	0.22
12	稀疏灌木林	0.99	-0.83	-0.17	0.40

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Xueying WANG, Zhenzhan WANG. Dynamic Monitoring Ability of Passive Microwave-based Vegetation Index for Different Vegetation Types[J]. Remote Sensing Technology and Application, 2024, 39(4): 867

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Paper Information

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Received: Jan. 30, 2023

Accepted: --

Published Online: Jan. 6, 2025

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DOI:10.11873/j.issn.1004-0323.2024.4.0867

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