Mon Oct 13, F. Flechtner
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Deng, Caiyun, Zhang, Li, Xu, Tianhe, Yang, Siqi, Guo, Jian, Si, Lulu, Kang, Ran, and Kaufmann, Hermann Josef, 2024. An Integrated Drought Index (Vapor Pressure Deficit–Soil Moisture–Sun-Induced Chlorophyll Fluorescence Dryness Index, VMFDI) Based on Multisource Data and Its Applications in Agricultural Drought Management. Remote Sensing, 16(24):4666, doi:10.3390/rs16244666.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024RemS...16.4666D,
author = {{Deng}, Caiyun and {Zhang}, Li and {Xu}, Tianhe and {Yang}, Siqi and {Guo}, Jian and {Si}, Lulu and {Kang}, Ran and {Kaufmann}, Hermann Josef},
title = "{An Integrated Drought Index (Vapor Pressure Deficit{\textendash}Soil Moisture{\textendash}Sun-Induced Chlorophyll Fluorescence Dryness Index, VMFDI) Based on Multisource Data and Its Applications in Agricultural Drought Management}",
journal = {Remote Sensing},
keywords = {drought monitoring, three-dimensional spatial distance model, spatiotemporal variation, Liang{\textendash}Kleeman information flow, agroecosystem responses, multisource data},
year = 2024,
month = dec,
volume = {16},
number = {24},
eid = {4666},
pages = {4666},
abstract = "{To more precisely monitor drought, a new remote sensing-based drought
index, the Vapor Pressure Deficit{\textendash}Soil
Moisture{\textendash}Sun-Induced Chlorophyll fluorescence
Dryness Index (VMFDI), with a spatial resolution of 1 km based
on vapor pressure deficit (VPD), soil moisture (SM), and sun-
induced chlorophyll fluorescence (SIF) data was constructed via
a three-dimensional spatial distance model, and it was used to
monitor dryness in the Yellow River Basin during
2003{\textendash}2020. The spatiotemporal variations in and main
factors of the VMFDI and agroecosystem responses were analyzed
via the Theil{\textendash}Sen median and
Mann{\textendash}Kendall tests and Liang{\textendash}Kleeman
information flow. The results revealed the following: (1) The
VMFDI effectively monitors regional drought and is more
sensitive than other indices like the standardized precipitation
evapotranspiration index (SPEI) and GRACE drought severity index
and single variables. (2) VMFDI values fluctuated seasonally in
the Yellow River Basin, peaking in August and reaching their
lowest in March. The basin becomes drier in winter but wetter in
spring, summer, and autumn, with the middle and lower reaches,
particularly Shaanxi and Gansu, being drought-prone. The VMFDI
values in the agroecosystem were lower. (3) SM and VPD dominated
drought at the watershed and agroecosystem scales, respectively.
Key agroecosystem indicators, including greenness (NDVI), gross
primary productivity (GPP), water use efficiency (WUE), and leaf
area index (LAI), were negatively correlated with drought (p <
0.05). When VPD exceeded a threshold range of
7.11{\textendash}7.17 ha, the relationships between these
indicators and VPD shifted from positive to negative. The
specific VPD thresholds in maize and wheat systems were
8.03{\textendash}8.57 ha and 7.15 ha, respectively. Suggestions
for drought risk management were also provided. This study
provides a new method and high-resolution data for accurately
monitoring drought, which can aid in mitigating agricultural
drought risks and promoting high-quality agricultural
development.}",
doi = {10.3390/rs16244666},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024RemS...16.4666D},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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