Eco-environmental water requirements in Shuangtaizi Estuary Wetland based on multi-source remote sensing data

Abstract With rapid economic development and expansion of urban boundaries, increasingly damaged wetland resources have seriously threatened the ecosystem. The study of eco-environmental requirements of wetlands is not only the basis of water resources allocation in development and utilization, but also for creating a sustainable system to maintain and improve the overall ecosystem. In this study, we used the Shuangtaizi Estuary Wetland as our study area. The breakdown of wetland cover types was extracted based on multi-source remote sensing data, providing the graphic database for ecological water requirement calculation. According to the characteristics of the Shuangtaizi Estuary Wetland ecosystem, the methods of quantifying the components of ecological water requirements were determined. The results showed that the optimum ecological water requirement of the total wetland was 239 million m3. The minimum, 75th percentile frequency, and 95th percentile frequency water requirements were 670 million m3, 921 million m3, and 1,078 million m3, respectively.

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Applying Multi-source Remote Sensing Data on Estimating Ecological Water Requirement of Grassland in Ungauged Region

Procedia Environmental Sciences ◽

10.1016/j.proenv.2010.10.107 ◽

2010 ◽

Vol 2 ◽

pp. 953-963 ◽

Cited By ~ 5

Author(s):

Yu Zhang ◽

Shengtian Yang ◽

Wei Ouyang ◽

Hongjuan Zeng ◽

Mingyong Cai

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Water Requirement ◽

Sensing Data ◽

Ecological Water Requirement

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Crop Water Requirements on Regional Level using Remote Sensing Data – A Case Study in the Marchfeld Region Berechnung des Pflanzenwasserbedarfs für Sommerfeldfrüchte mittels Fernerkundungsdaten. Eine Fallstudie in der Marchfeld-Region

Photogrammetrie - Fernerkundung - Geoinformation ◽

10.1127/1432-8364/2014/0230 ◽

2014 ◽

Vol 2014 (5) ◽

pp. 369-381 ◽

Cited By ~ 5

Author(s):

Nikolaus Neugebauer ◽

Francesco Vuolo

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Regional Level ◽

Crop Water ◽

Water Requirements ◽

Sensing Data ◽

Crop Water Requirements

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Rice water requirements: local assessment based on remote sensing data in the Lower Mondego (Portugal)

10.5194/egusphere-egu21-12498 ◽

2021 ◽

Author(s):

Isabel P. de Lima ◽

Romeu G. Jorge ◽

João L.M.P. de Lima

Keyword(s):

Remote Sensing ◽

Irrigation Water ◽

Management Practices ◽

Remote Sensing Data ◽

Weather Data ◽

Practical Consideration ◽

Water Requirements ◽

Rice Agriculture ◽

Sensing Data ◽

The Impact

Irrigated rice agriculture, which is traditionally conducted applying continuous flooding, requires much more irrigation water than non-ponded crops. This can be a constraint in areas facing water scarcity issues, where the pursue for water resources optimization requires that water use efficiency is increased. Therefore, main local challenges for rice production are often to identify and apply more favorable and efficient irrigation and crop management practices, while guaranteeing high crop yields. For this purpose, the knowledge of rice crop water requirements is an important practical consideration. However, there are usually several limiting factors to obtain relevant data for the local conditions. Several recent approaches and methodologies based on remote sensing data, such as images obtained from satellites and Unmanned Aerial Systems (UAS), are offering attractive alternative routes to estimate crop evapotranspiration in a fast and easy way, including in rice fields.For the rice producing area of the Lower Mondego region (Portugal), we report on exploring the usefulness of remote sensing tools for the local rice agriculture monitoring and management. Data include 25 land surface images of rice cultivated areas obtained from satellite Sentinel-2A during 2020, which together with weather data and crop parameters permits to calculate biophysical indicators and indices of vegetation water stress. Although remote sensing data available from satellite imagery presents some practical constraints (e.g. cloud cover, resolution), preliminary results from this study show that they allow to improve the characterization of the rice local cultivation conditions, therefore contributing to evaluate the impact of applying different irrigation and agriculture management practices, in particular those that have the potential to lead to significant savings of irrigation water.This work was conducted under the umbrella of the international project MEDWATERICE (www.medwaterice.org) that focus on improving the sustainable use of water in the Mediterranean rice agro-ecosystem and aims to exploring the opportunity to apply water-saving, alternative, rice irrigation methods.

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