Automatic extraction of aquaculture ponds based on Google Earth Engine-Reference-Cited by-同舟云学术

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Automatic extraction of aquaculture ponds based on Google Earth Engine

Published:2020-12 Issue: Volume:198 Page:105348
ISSN:0964-5691
Container-title:Ocean & Coastal Management
language:en
Short-container-title:Ocean & Coastal Management

Author:

Xia Zilong,Guo Xiaona,Chen Ruishan

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Institute of Eco-Chongming

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Aquatic Science,Oceanography

Reference50 articles.

1. In situ estimation of water quality parameters in freshwater aquaculture ponds using hyperspectral imaging system;Abd-Elrahman;ISPRS J. Photogrammetry Remote Sens.,2011

2. Boro rice yield estimation model using modis ndvi data for Bangladesh;Alam,2019

3. Object based image analysis for remote sensing;Blaschke;ISPRS J. Photogrammetry Remote Sens.,2010

4. Environmental impact of aquaculture and countermeasures to aquaculture pollution in China;Cao;Environ. Sci. Pollut. Res. Int.,2007

5. China's aquaculture and the world's wild fisheries;Cao;Science,2015

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1. Mapping the fine spatial distribution of global offshore surface seawater mariculture using remote sensing big data;International Journal of Digital Earth;2024-09-11

2. Tracking annual changes of coastal aquaculture ponds in China during 1986–2021;Aquaculture;2024-08

3. Aquaculture Ponds Identification Based on Multi-Feature Combination Strategy and Machine Learning from Landsat-5/8 in a Typical Inland Lake of China;Remote Sensing;2024-06-15

4. Dynamics changes of coastal aquaculture ponds based on the Google Earth Engine in Jiangsu Province, China;Marine Pollution Bulletin;2024-06

5. Mapping the distribution and dynamics of coastal aquaculture ponds using Landsat time series data based on U ² -Net deep learning model;International Journal of Digital Earth;2024-04-24

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