Remote Sensing Estimates of Terrestrial Gross Primary Production: Progress, Applications and Prospects

Shangrong LIN; Yuan TAO; Yi ZHENG; Xing LI

doi:10.11873/j.issn.1004-0323.2025.4.0851

Remote Sensing Technology and Application, Volume. 40, Issue 4, 851(2025)

Remote Sensing Estimates of Terrestrial Gross Primary Production: Progress, Applications and Prospects

Shangrong LIN¹, Yuan TAO¹, Yi ZHENG², and Xing LI^1、*

¹Carbon-Water Research Station in Karst Regions of Northern Guangdong， School of Geography and Planning， Sun Yat-Sen University， Guangzhou510006，China

²School of Atomshperic Sciences， Sun Yat-Sen University， Zhuhai519082，China

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Figures & Tables(2)

Table 1. Table 1Typical model structure of remote sensing data driven gross primary production models

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Table 1. Table 1Typical model structure of remote sensing data driven gross primary production models

模型类型	模型框架^*	典型模型
植被波谱信息模型	$G P P = f (R S)$	NIRv^[20], SIF^[22], VOD^[29]
机器学习模型	$G P P = f_{M L} (V I, C L I)$	FLUXCOM^[35], FLUXSAT^[36]
遥感植被生态系统过程模型	$G P P = A n \times L A I$	BEPS^[10]，BESS^[18]
遥感植被生态系统过程模型	$A n = m i n (A j, A c)$	BEPS^[10]，BESS^[18]
光能利用率模型	$G P P = ε m a x \times f s t r e s s \times A P A R$	MOD17^[6]

Table 2. Table 2Typical model parameters and spatio-temporal resolution in remote sensing data driven gross primary production models products

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Table 2. Table 2Typical model parameters and spatio-temporal resolution in remote sensing data driven gross primary production models products

产品名称	空间分辨率	时间分辨率以及覆盖时间范围	考虑的因子							参考文献
产品名称	空间分辨率	时间分辨率以及覆盖时间范围	T	VPD	SM	CO₂	N	P	TL	参考文献
植被波谱信息模型
NIRv GPP	0.05°	月度，1982~2018								Wang等（2021）^[31]
NIRv GPP	0.05°	月度，1982~2018								Wang等（2021）^[31]
GOSIF GPP	0.05°	8日，2001~2022								Li & Xiao（2019）^[32]
GOSIF GPP	0.05°	8日，2001~2022								Li & Xiao（2019）^[32]
VODCA2GPP	0.25°	月度,1988~2020								Wild等（2022）^[29]
机器学习模型
FLUXCOM	0.083 3°	每日, 1980~2013	√	√						Jung等（2020）^[38]
FLUXSAT	0.05°	每日, 2001~2019	√	√	√					Joiner & Yoshida（2020）^[53]
Farquhar-von Caemmerer-Berry（遥感植被过程模型）
BEPS	0.05°	每小时, 2001~2020	√	√	√	√			√	Leng等（2024）^[43]
BESS	1 km	8日, 1982~2023	√	√		√			√	Li等（2023）^[44]
光能利用率模型
MODIS	500 m	8日，2000至今	√	√						Running等（2004）^[6]
VPM	1 km	8日，2000~2016	√	*						Xiao等（2004）^[7]
GLASS	500 m	8日，1982~2018	√	√		√			√	Zheng等（2020）^[51]
SMAP-GPP	9 km	每日,2015至今	√	√	√					Jones等（2017）^[50]
Hi-GLASS	30 m（中国区域）	月度,2016~2020	√	√		√				Lin等（2024）^[52]

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Shangrong LIN, Yuan TAO, Yi ZHENG, Xing LI. Remote Sensing Estimates of Terrestrial Gross Primary Production: Progress, Applications and Prospects[J]. Remote Sensing Technology and Application, 2025, 40(4): 851

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Paper Information

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Received: Dec. 25, 2024

Accepted: --

Published Online: Aug. 26, 2025

The Author Email: Xing LI (lixing58@mail.sysu.edu.cn)

DOI:10.11873/j.issn.1004-0323.2025.4.0851

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