A review of remote-sensing-based spatial/temporal information capturing for water resource studies in Poyang Lake

2009 ◽  
Author(s):  
Guofeng Wu
Keyword(s):  
Remote Sensing ◽  
Water Resource ◽  
Poyang Lake ◽  
Temporal Information

scholarly journals Assimilation of D-InSAR snow depth data by an ensemble Kalman filter

2021 ◽  
Vol 14 (6) ◽  
Author(s):  
Jinming Yang ◽  
Chengzhi Li
Keyword(s):  
Remote Sensing ◽  
Kalman Filter ◽  
Water Resource ◽  
Ensemble Kalman Filter ◽  
Snow Depth ◽  
Resource Assessment ◽  
Measured Data ◽  
Hydrological Process ◽  
Depth Data ◽  
Water Resource Assessment

AbstractSnow depth mirrors regional climate change and is a vital parameter for medium- and long-term numerical climate prediction, numerical simulation of land-surface hydrological process, and water resource assessment. However, the quality of the available snow depth products retrieved from remote sensing is inevitably affected by cloud and mountain shadow, and the spatiotemporal resolution of the snow depth data cannot meet the need of hydrological research and decision-making assistance. Therefore, a method to enhance the accuracy of snow depth data is urgently required. In the present study, three kinds of snow depth data which included the D-InSAR data retrieved from the remote sensing images of Sentinel-1 synthetic aperture radar, the automatically measured data using ultrasonic snow depth detectors, and the manually measured data were assimilated based on ensemble Kalman filter. The assimilated snow depth data were spatiotemporally consecutive and integrated. Under the constraint of the measured data, the accuracy of the assimilated snow depth data was higher and met the need of subsequent research. The development of ultrasonic snow depth detector and the application of D-InSAR technology in snow depth inversion had greatly alleviated the insufficiency of snow depth data in types and quantity. At the same time, the assimilation of multi-source snow depth data by ensemble Kalman filter also provides high-precision data to support remote sensing hydrological research, water resource assessment, and snow disaster prevention and control program.

scholarly journals Using Remote Sensing to Discover Historic Context of Human‐Environmental Water Resource Dynamics

2020 ◽  
Vol 171 (1) ◽  
pp. 74-92
Author(s):  
Zach Brecheisen ◽  
Nicholas Hamp‐Adams ◽  
Abigail Tomasek ◽  
Erika J. Foster ◽  
Timothy Filley ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Resource ◽  
Environmental Water ◽  
Resource Dynamics

scholarly journals Utilization of Thermal Remote Sensing in Water Resource Management

2014 ◽  
Vol 7 (1) ◽  
Author(s):  
Morris Scherer Warren ◽  
Antônio Heriberto de Castro Teixeira ◽  
Lineu Neiva Rodrigues ◽  
Fernando Braz Tangerino Hernandez
Keyword(s):  
Remote Sensing ◽  
Resource Management ◽  
Water Resource ◽  
Water Resource Management ◽  
Thermal Remote Sensing

scholarly journals Flooding hazard mapping for Poyang Lake Region with remote sensing and water level records

2009 ◽  
Vol 21 (5) ◽  
pp. 720-724 ◽  
Author(s):  
QI Shuhua ◽  
◽  
SHU Xiaobo ◽  
Daniel Brown ◽  
JIANG Luguang
Keyword(s):  
Remote Sensing ◽  
Water Level ◽  
Poyang Lake ◽  
Hazard Mapping ◽  
Flooding Hazard ◽  
Poyang Lake Region ◽  
Lake Region

scholarly journals Potential Impact of Flood on Schistosomiasis in Poyang Lake Regions Based on Multi-Source Remote Sensing Images

2020 ◽  
Author(s):  
Jing-Bo Xue ◽  
Xin-Yi Wang ◽  
Li-Juan Zhang ◽  
Yu-Wan Hao ◽  
Zhe Chen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Body ◽  
Poyang Lake ◽  
Transmission Risk ◽  
Schistosomiasis Japonica ◽  
Landsat 8 ◽  
Remote Sensing Images ◽  
Poyang Lake Region ◽  
Lake Region ◽  
Dual Polarized

Abstract BackgroundFlooding may be the most important factors contributing to the rebound of Oncomelania hupensis in endemic foci. This study aimed to assess the risk of schistosomiasis japonica transmission impacted by flooding around the Poyang Lake region using multi-source remote sensing images.MethodsNormalized Difference Vegetation Index (NDVI) data collected by the Landsat 8 satellite was used as an ecological and geographical suitability indicator of O. hupensis snail habitats in the Poyang Lake region. The flood-affected water body expansion was estimated using dual polarized threshold calculations based on the dual polarized synthetic aperture radar (SAR). The image data were captured from Sentinel-1B satellite in May 2020 before the flood and in July 2020 during the flood. The spatial database of snail habitats distribution was created by using the 2016 snail survey in Jiangxi Province. The potential spread of O. hupensis snails after the flood was predicted by an overlay analysis of the NDVI maps of flood-affected water body areas. In addition, the risk of schistosomiasis transmission was classified based on O. hupensis snail density data and the related NDVI. ResultsThe surface area of Poyang Lake was approximately 2,207 km2 in May 2020 before the flood and 4,403 km2 in July 2020 during the period of the flood peak, and the flood-caused expansion of water body was estimated as 99.5%. After the flood, the potential snail habitats were predicted to be concentrated in areas neighboring the existing habitats in marshlands of the Poyang Lake. The areas with high risk of schistosomiasis transmission were predicted to be mainly distributed in Yongxiu, Xinjian, Yugan and Poyang (District) along Poyang Lake. By comparing the predictive results and actual snail distribution, the predictive accuracy of the model was estimated as 87%, which meant the 87% of actual snail distribution were correctly identified as the snail habitats in the model predictions. ConclusionsFlood-affected water body expansion and environmental factors pertaining to snail breeding may be rapidly extracted from Landsat 8 and Sentinel-1B remote sensing images. The applications of multi-source remote sensing data are feasible for the timely and effective assessment of the potential schistosomiasis transmission risk caused by snail spread during the flood disaster, which is of great significance for precision control of schistosomiasis.

scholarly journals Online Command Area Water Resource Management System

2020 ◽  
Vol 5 (2) ◽  
pp. 70-74
Author(s):  
P. Pallavi ◽  
Shaik Salam
Keyword(s):  
Remote Sensing ◽  
Resource Management ◽  
Water Resources ◽  
Water Resource ◽  
Water Resource Management ◽  
Management Practices ◽  
Web Gis ◽  
Command Area ◽  
Space Technology ◽  
Server Side

Water is an important, but often ignored element in sustainable development by now it has been clear that urgent action is needed to avoid global water crisis. Water resource management is the activity of planning, developing, distributing and managing the optimum use of water resources. Successful management of water resources requires accurate knowledge of their resource distribution to meet up the competing demands and mechanisms to make good decisions using advanced recent technologies.Towards evolving comprehensive management plan in suitable conservation and utilization of water resources space technology plays a crucial role in managing country’s available water resources. Systematic approaches involving judicious combination of conventional server side scripting programming and remote sensing techniques pave way for achieving optimum planning and operational of water resources projects.   new methodologies and 24/7 accessible system need to be built, these by reducing the dependency on complex infrastructure an specialist domain Open source web GIS systems have proven their rich in application of server side scripting and easy to use client application tools. Present study and implementation aims to provide wizard based or easily driven tools online for command area management practices. In this large endeavour modules for handling remote sensing data, online raster processing, statistics and indices generation will be developed.

scholarly journals A Game Theory-Based Approach for Exploring Water Resource Exploitation Behavior in the Poyang Lake Basin, China

2019 ◽  
Vol 11 (22) ◽  
pp. 6237
Author(s):  
Tiangui Lv ◽  
Hualin Xie ◽  
Hua Lu ◽  
Xinmin Zhang ◽  
Lei Yang
Keyword(s):  
Water Resource ◽  
Local Governments ◽  
Central Government ◽  
Stable Equilibrium ◽  
Poyang Lake ◽  
Policy Implications ◽  
Lake Basin ◽  
Game Model ◽  
Resource Exploitation ◽  
Poyang Lake Basin

Exploring the relationship between competition and cooperation in water resource exploitation by applying a game model is crucial for achieving stable equilibrium in the presence of environmental externalities. To explore this, we used the Poyang Lake Basin, which is divided into three overly exploited sub-regions, as an example. This paper selected the different types of sub-regions of Poyang Lake Basin as the research subjects, and then proposed a game model to study evolutionarily stable equilibrium strategies. The results are as follows: (1) the behavior of the sub-regions of Poyang Lake Basin are affected by one another and cannot achieve equilibrium through independent games, which also need external forces to coordinate the three reaches; (2) the benefits improve gradually from the state of “non-cooperation” to “full cooperation” and reach an ideal equilibrium when all the sub-regions choose the strategy of cooperation; (3) the strategic choice of sub-reaches is difficult to maximize the overall benefits of the basin in the absence of external constraints. To ensure that the sub-regions choose the cooperative strategy, the central government should support the cooperative subsidies of local governments. In addition to improving the equilibrium state of the sub-reaches, this study proposes the following policy implications: constructing a basin plan and promoting fiscal transfer payments, inducing an industrial gradient transfer, and strengthening the payment for the use of water resources.

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