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88_2024_IEEE-TGRS_Zhang_doi_10.1109TGRS.2023.3338623_AAM-HR.docx (67.55 MB)

Spatiotemporal Data Fusion of Index-Based VTCI Using Sentinel-2 and -3 Satellite Data for Field-Scale Drought Monitoring

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posted on 2024-02-14, 11:23 authored by Yue Zhang, Pengxin Wang, Kevin Tansey, Mingqi Li, Fengwei Guo, Junming Liu, Shuyu Zhang

Due to climate change, the impact of drought on field crop production is extremely important. This study focuses on the vegetation temperature condition index (VTCI), an index-based drought monitoring index that can characterize drought conditions in near real time (at ten-day intervals), and explores the applicability of different spatial and temporal data fusion schemes to it. It also proposes a field-scale VTCI fusion framework based on the Sentinel-3 VTCI calculation and the land surface temperature (LST) downscaling. First, based on analyzing the computational characteristics of VTCI, multiyear VTCI based on Sentinel data sources was obtained, which further expands the diversity of data sources for VTCI. On this basis, a combination of qualitative and quantitative methods was used to compare the applicability of two schemes: Scheme 1, based on the 'blend-then-index' (BI) strategy, which first fuses normalized difference vegetation index (NDVI) and LST, and then calculated the fused VTCIs; and Scheme 2, based on the 'index-then-blend' (IB) strategy, which directly fuses the VTCIs based on the calculated VTCIs. It was found that all the fused VTCIs remained highly correlated with the ten-day cumulative precipitation. Compared with the fused VTCIs obtained by Scheme 2, the VTCIs obtained by Scheme 1 were able to display more spatial details. In addition, the VTCIs of Scheme 1 were more consistent with the Sentinel-3 VTCIs, and the accuracy of field yield estimation using the fused VTCIs was higher ( $r$ of 0.58 and root-mean-square error (RMSE) of 783.27 kg/ha).

Funding

10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 42171332)

10.13039/501100000288-Royal Society-Newton Mobility Grant, U.K.

History

Author affiliation

School of Geography, Geology and the Environment, University of Leicester

Version

  • AM (Accepted Manuscript)

Published in

IEEE Transactions on Geoscience and Remote Sensing

Volume

62

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

issn

0196-2892

eissn

1558-0644

Copyright date

2023

Available date

2024-02-14

Language

en

Deposited by

Professor Kevin Tansey

Deposit date

2024-02-04

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