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Remote Sensing
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Hydrometeorological Modelling Based on Remotely Sensed Data
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Hydrometeorological Modelling Based on Remotely Sensed Data

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Biogeosciences Remote Sensing".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 1788

Special Issue Editors

Prof. Dr. Qiang Zhang

E-Mail Website
Guest Editor
Advanced Interdisciplinary Institute of Environment and Ecology, Beijing Normal University, Zhuhai 519087, China
Interests: urban heat island; remote sensing-based drought monitoring; hydro-meteorology; remote sensing-based monitoring of ecological processes
Dr. Wenlong Song

E-Mail Website
Guest Editor
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Interests: remote sensing of flood & drought; UAV; remote sensing of agricultural irrigation; remote sensing scale problem
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Xihui Gu

E-Mail Website
Guest Editor
Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
Interests: climate change; climate change and human health; climatic and hydrological extremes; urban climate; extreme events prediction and projection
Dr. Yadu Pokhrel

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA
Interests: hydrological modeling; human impacts on the water cycle; water resource sustainability; food–energy–water nexus
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the present day, remotely sensed data are widely used in Earth science. In particular, they have been used to evidence the effect of the warming climate on accelerating the hydrological cycle and intensifying hydrometeorological extremes. The high frequency of record-breaking hydrological hazards in recent years has caused devastating impacts on human societies and the ecosystem. A deeper understanding of the hydrological cycle and hydrological hazards in a warming world can greatly improve mitigation measures against hydrological disasters and alleviate their damaging effects on society. This Special Issue aims to share innovative ideas and solutions to advance scientific knowledge of climate impacts on the water cycle; improve the prediction or projection of hydrometeorological extremes based on remotely sensed data, in situ observations and reanalysis data; and alleviate the impacts of record-breaking water extremes on society.

Prof. Dr. Qiang Zhang
Dr. Wenlong Song
Prof. Dr. Xihui Gu
Dr. Yadu Pokhrel
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

  • warming climate
  • warming world
  • hydrological cycle
  • hydrological hazards
  • water cycle
  • hydro-meteorology
  • climatic and hydrological extremes

Published Papers (2 papers)

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Research

20 pages, 8369 KiB  
Article
Precise Drought Threshold Monitoring in Winter Wheat Using the Unmanned Aerial Vehicle Thermal Method
by Hongjie Liu, Wenlong Song, Juan Lv, Rongjie Gui, Yangjun Shi, Yizhu Lu, Mengyi Li, Long Chen and Xiuhua Chen
Remote Sens. 2024, 16(4), 710; https://doi.org/10.3390/rs16040710 - 18 Feb 2024
Viewed by 541
Abstract
Accurate monitoring of crop drought thresholds at different growth periods is crucial for drought monitoring. In this study, the canopy temperature (Tc) of winter wheat (‘Weilong 169’ variety) during the three main growth periods was extracted from high-resolution thermal and multispectral [...] Read more.
Accurate monitoring of crop drought thresholds at different growth periods is crucial for drought monitoring. In this study, the canopy temperature (Tc) of winter wheat (‘Weilong 169’ variety) during the three main growth periods was extracted from high-resolution thermal and multispectral images taken by a complete unmanned aerial vehicle (UAV) system. Canopy-air temperature difference (ΔT) and statistic Crop Water Stress Index (CWSIsi) indicators were constructed based on Tc. Combined experiment data from the field and drought thresholds for the ΔT and CWSIsi indicators for different drought levels at three main growth periods were monitored. The results showed a strong correlation between the Tc extracted using the NDVI-OTSU method and ground-truth temperature, with an R2 value of 0.94. The CWSIsi was more stable than the ΔT index in monitoring the drought level affecting winter wheat. The threshold ranges of the CWSIsi for different drought levels of winter wheat at three main growth periods were as follows: the jointing–heading period, where the threshold ranges for normal, mild drought, moderate drought, and severe drought are <0.30, 0.30–0.42, 0.42–0.48, and >0.48, respectively; the heading–filling period, where the threshold ranges for normal, and mild, moderate, and severe drought are <0.33, 0.33–0.47, 0.44–0.53, and >0.53, respectively; and the filling–maturation period, where the threshold ranges for normal, mild drought, moderate drought, and severe drought are <0.41, 0.41–0.54, 0.54–0.59, and >0.59, respectively. The UAV thermal threshold method system can improve the accuracy of crop drought monitoring and has considerable potential in crop drought disaster identification. Full article
(This article belongs to the Special Issue Hydrometeorological Modelling Based on Remotely Sensed Data)
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26 pages, 12689 KiB  
Article
A Geodetic-Data-Calibrated Ice Flow Model to Simulate Historical and Future Response of Glaciers in Southeastern Tibetan Plateau
by Letian Xiao, Shijie Li, Kunpeng Wu, Shiyin Liu, Yu Zhu, Muhammad Mannan Afzal, Jun Zhou, Ying Yi, Jinyue Wei, Yunpeng Duan and Yiyuan Shen
Remote Sens. 2024, 16(3), 522; https://doi.org/10.3390/rs16030522 - 29 Jan 2024
Viewed by 743
Abstract
Glaciers play a vital role in the Asian mountain water towers and have significant downstream impacts on domestic, agricultural, and industrial water usage. The rate of glacier mass loss in the Southeastern Tibetan Plateau (SETP) is among the highest in Asia and has [...] Read more.
Glaciers play a vital role in the Asian mountain water towers and have significant downstream impacts on domestic, agricultural, and industrial water usage. The rate of glacier mass loss in the Southeastern Tibetan Plateau (SETP) is among the highest in Asia and has intensified in recent decades. However, a comprehensive quantification that considers both spatial and temporal aspects of glacier mass loss across the entire SETP is still insufficient. This study aimed to address this gap by utilizing geodetic datasets specific to each glacier by calibrating the Open Global Glacier Model (OGGM) driven by HAR v2 and reconstructing the glacier mass balance of 7756 glaciers in the SETP from 1980 to 2019 while examining their spatial variability. The findings reveal that the average mass balance during this period was −0.50 ± 0.28 m w.e. a−1, with an accelerated loss observed in the 2000s (average: 0.62 ± 0.24 m w.e. a−1). Notably, central glaciers in the SETP exhibited relatively smaller mass loss, indicating a gradient effect of increased loss from the central region toward the eastern and western sides. By the end of this century, the area, length, and volume of glaciers in the entire SETP region are projected to decrease by 83.57 ± 4.91%, 90.25 ± 4.23%, and 88.04 ± 4.52%, respectively. Moreover, the SETP glacier melt runoff is estimated to decrease by 62.63 ± 6.16% toward the end of the century, with the “peak water” point of glacier melt runoff predicted to occur in 2023 under the SSP585 scenario. Sensitivity experiments demonstrated that the SETP glaciers are more than three times more sensitive to temperature changes than to precipitation variations, and the observed decrease in monsoon precipitation indicates the weakening magnitude of the Indian summer monsoon in recent years. The spatially refined and high-temporal-resolution characteristics of glacier mass loss presented in this study contribute to a better understanding of specific glacier changes in the SETP. Additionally, the prediction results provide valuable references for future water resources management and policy formulation in the SETP region. Full article
(This article belongs to the Special Issue Hydrometeorological Modelling Based on Remotely Sensed Data)
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