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Special Issue "Multi-Platform Hydrometeorological Monitoring and Analysis Using Remote Sensing"

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A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 1590

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Special Issue Editors

Dr. Marios Anagnostou

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National Observatory of Athens, Institute of Enviromental Research and Sustainable Development, Lofos Kofou, 15236 Athens, Greece
Interests: X-band weather radar; dual-polarization; precipitation and microphysical estimation; precipitation retrieval; flash flood; nowcasting
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Dr. John Kalogiros

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Institute of Environmental Research and Sustainable Development, National Observatory of Athens, I. Metaxa and V. Pavlou, P. Penteli, 15236 Athens, Greece
Interests: remote sensing; weather radar; precipitation; flood forecasting; atmospheric turbulence; air–sea interaction
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Dr. Jianzhong Lu

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Guest Editor

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Interests: remote sensing of the environment; water color remote sensing; hydrological remote sensing; hydrology modelling and data assimilation; climate change and environment response; disaster monitoring
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Special Issue Information

Dear Colleagues,

Multi-platform of remote sensing technology and weather modeling system, with the significant development of data acquiring and models, provided a sophisticated tool to elucidate hydrometerology dynamics over the past few decades, from which weather- and hydrology-related parameter monitoring and prediction may benefit. Therefore, we are urgently aiming to develop multi-platform hydrometeorological monitoring and analysis using remote sensing in order to provide scientific information for agriculture cultivation and hydrometeorologic disaster forecast.

In this Special Issue, we invite submissions that incorporate studies on remote sensing monitoring and multi-platform hydrometeorology analysis to solve newly emerged meteorological and hydrologic problems, as well as to develop applications of modern monitoring and modelling technologies. This Special Issue will cover research on methods of weather parameter retrieval, the remote sensing of hydrology and hydrometeorologic analysis using multi-platform data, etc. As well as new findings, studies on hydrometeorologic disaster that require novel approaches, the development of new tools, or improvements in existing models are welcome.

Dr. Marios Anagnostou
Dr. John Kalogiros
Dr. Jianzhong Lu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

remote sensing of hydrology
weather radar
multi-platform analysis
soil moisture
precipitation
evapotranspiration
meteorology
weather reanalysis
flood and drought

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Research

27 pages, 11457 KiB

Open AccessArticle

Assessing the Applicability of Three Precipitation Products, IMERG, GSMaP, and ERA5, in China over the Last Two Decades

and

Remote Sens. 2023, 15(17), 4154; https://doi.org/10.3390/rs15174154 - 24 Aug 2023

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Abstract

The accuracy of gridded precipitation products is uncertain in different temporal and spatial dimensions. Analyzing the applicability of precipitation products is a prerequisite before applying them to hydrometeorological and other related research. In this study, we selected three gridded precipitation products, Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG), Global Satellite Mapping of Precipitation (GSMaP), and the fifth generation of atmospheric reanalysis of the European Centre for Medium-Range Weather Forecasts (ERA5), including their data from 2001 to 2020. Using the data from 699 ground observation stations, we evaluated the applicability of these three precipitation products in China. Based on five statistical and five classification indicators, we first assessed the applicability of the three precipitation products on daily, monthly, and annual time scales, respectively, and then evaluated their applicability in different spatial dimensions, including basins, agriculture, and geomorphology. The results showed that: (1) IMERG data had the best accuracy on annual and monthly time scales, with both correlation coefficient (CC) values greater than 0.95 and Kling–Gupta efficiency (KGE) values greater than 0.90. On a daily time scale, the accuracy of all three precipitation products differed when statistical or categorical indicators were considered alone. However, the applicability of IMERG data was best among the three precipitation products when both types of indicators were considered. (2) The accuracy of the three precipitation products gradually decreased along the southeast–northwest direction. The applicability of ERA5 data was better in northern regions than in other regions in China, especially in arid and semi-arid regions in northern China. The applicability of IMERG data was better in southern regions with more precipitation and in high-altitude regions than in other regions in China. (3) The applicability of the three precipitation products in plain areas was generally better than in mountain areas. Among them, ERA5 data were more accurate in plain areas, while IMERG data were more accurate in mountain areas. This study can provide a reference for the selection of data sources of gridded precipitation products in different time scales and spatial dimensions in China. Full article

(This article belongs to the Special Issue Multi-Platform Hydrometeorological Monitoring and Analysis Using Remote Sensing)

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28 pages, 9652 KiB

Open AccessArticle

The Spread of Multiple Droughts in Different Seasons and Its Dynamic Changes

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Remote Sens. 2023, 15(15), 3848; https://doi.org/10.3390/rs15153848 - 02 Aug 2023

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Abstract

Investigating the propagation and influencing mechanism that transitions a meteorological drought to a hydrological drought in a changing environment is crucial for understanding the formation process and mechanism of hydrological drought. Furthermore, it is essential to establish an effective hydrological drought warning system based on meteorological drought. To assess the dynamic changes in the spread of meteorological drought to hydrological drought during various seasons, this study employs the Standardized Precipitation Index (SPI), Standardized Runoff Index (SRI), and Normalized Vegetation Index (NDVI) to represent meteorological, hydrological, and vegetation droughts, respectively, in the Ganjiang River Basin (GRB) from 2002 to 2020. Considering that meteorological drought can be caused not only by insufficient precipitation but also by excessive evaporation, an additional index, namely the Evaporative Demand Drought Index (EDDI), is constructed to quantify meteorological drought resulting from evaporation factors. The article analyzes the characteristics of the spatiotemporal evolution of meteorological, hydrological, and vegetation drought. The Spearman rank correlation coefficient is employed to calculate the propagation time of different seasons from meteorological drought to hydrological/vegetation drought and from hydrological drought to vegetation drought. Furthermore, we examine the propagation relationship among meteorological, hydrological, and vegetation drought in the time-frequency domain through cross-wavelet analysis and explore the key factors and physical mechanisms that influence the propagation of drought in various seasons. The result shows: The propagation time from meteorological to hydrological drought (SPI-SRI) is shortest in spring, extended during summer and autumn, and longest in winter. The meteorological drought arising from excessive evapotranspiration in autumn has the most substantial impact on hydrological drought. Vegetation drought and meteorological/hydrological drought exhibit significant intermittent resonance periods in 0~6 months and significant stable resonance periods in 7~15 months. Full article

(This article belongs to the Special Issue Multi-Platform Hydrometeorological Monitoring and Analysis Using Remote Sensing)

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