Drought Monitoring of Vegetation Based on Solar-induced Chlorophyll Fluorescence: A Case Study of Inner Mongolia Autonomous Region

doi:10.11924/j.issn.1000-6850.casb2025-0853

Abstract

Abstract:

The purpose of this study was to explore the feasibility and advantages of solar-induced chlorophyll fluorescence (SIF) in monitoring vegetation drought in forest and grassland ecosystems. A fluorescence health index (SHI) based on GOSIF (SIF product ) data was constructed and compared with vegetation health index (VHI) and meteorological drought index SPEI. Results showed that in 57% of the months, the correlation coefficient between SHI and SPEI was higher than that between VHI and SPEI, indicating that SHI was more responsive and sensitive to drought events. SHI showed a significant decreasing trend at annual and seasonal (spring, summer, autumn) scales, reflecting the overall alleviation of vegetation drought conditions during the study period. The spatial distribution pattern showed a “widespread drought in the west, less severe in the east”, with particularly significant changes in the northeast, southeast, and central-west of the region, demonstrating distinct regional differences. Overall, SHI based on SIF can more sensitively reflect changes in vegetation under drought stress, serving as an important supplement or improvement to the traditional VHI. The application of SHI in Inner Mongolia can improve the accuracy and timeliness of drought monitoring, providing a new remote sensing technology path for drought monitoring, risk assessment, and decision-making in ecologically vulnerable areas. This method has the potential to be extended to other regions or a global drought remote sensing monitoring system.

Key words: solar-induced chlorophyll fluorescence, vegetation drought, SHI index, remote sensing monitoring, Inner Mongolia

ZHANG Lanbiao, YANG Liping, ZHANG Lanjing, LI Bin, ZHANG Yiyao, DONG Jing. Drought Monitoring of Vegetation Based on Solar-induced Chlorophyll Fluorescence: A Case Study of Inner Mongolia Autonomous Region[J]. Chinese Agricultural Science Bulletin, 2026, 42(2): 163-170.

Figures/Tables 7

References 27

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S	Z	SHI趋势变化	干旱趋势变化
≤-0.0005	≤-1.96	明显下降	明显减弱
≤-0.0005	-1.96~1.96	轻微下降	轻微减弱
-0.0005~0.0005	-1.96~1.96	趋势不明显	稳定不变
≥0.0005	-1.96~1.96	轻微上升	轻微加重
≥0.0005	≥1.96	明显上升	明显加重

S	Z	SHI趋势变化	干旱趋势变化
≤-0.0005	≤-1.96	明显下降	明显减弱
≤-0.0005	-1.96~1.96	轻微下降	轻微减弱
-0.0005~0.0005	-1.96~1.96	趋势不明显	稳定不变
≥0.0005	-1.96~1.96	轻微上升	轻微加重
≥0.0005	≥1.96	明显上升	明显加重

干旱趋势变化	百分比
干旱趋势变化	年	春	夏	秋	冬
明显减弱	51.24	39.17	30.98	43.96	9.96
轻微减弱	33.01	47.09	53.58	40.75	32.99
稳定不变	6.28	4.99	4.13	4.26	6.10
轻微加重	8.97	8.42	11.18	10.34	46.17
明显加重	0.50	0.33	0.13	0.69	4.79

干旱趋势变化	百分比
干旱趋势变化	年	春	夏	秋	冬
明显减弱	51.24	39.17	30.98	43.96	9.96
轻微减弱	33.01	47.09	53.58	40.75	32.99
稳定不变	6.28	4.99	4.13	4.26	6.10
轻微加重	8.97	8.42	11.18	10.34	46.17
明显加重	0.50	0.33	0.13	0.69	4.79