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Opportunities and Challenges for the Estimation of Aquaculture Production Based on Earth Observation Data.

, , and . Remote Sensing, 10 (7): 1076 (2018)
DOI: 10.3390/rs10071076

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Mapping Paddy Rice in China in 2002, 2005, 2010 and 2014 with MODIS Time Series, , and . Remote Sensing, 8 (5): 1-22 (May 2016)Mapping rice areas with Sentinel-1 time series and superpixel segmentation, , and . International Journal of Remote Sensing, 39 (5): 1399--1420 (November 2017)Time series sentinel-1 SAR data for the mapping of aquaculture ponds in coastal Asia., , , , , and . IGARSS, page 9371-9374. IEEE, (2018)Remote Sensing of Rice Areas - Mapping Rice Fields and Estimating Rice Production Employing Multi-Sensor Remote Sensing Time Series. Julius-Maximilians-Universität Würzburg, Phdthesis, (2019)Large-Scale Assessment of Coastal Aquaculture Ponds with Sentinel-1 Time Series Data, , and . Remote Sensing, 9 (440): 1--23 (Mai 2017)Opportunities and Challenges for the Estimation of Aquaculture Production Based on Earth Observation Data., , and . Remote Sensing, 10 (7): 1076 (2018)Mapping Paddy Rice in China in 2002, 2005, 2010 and 2014 with MODIS Time Series., , and . Remote. Sens., 8 (5): 434 (2016)Aquaculture: Relevance, Distribution, Impacts and Spatial Assessments. A Review, , and . Ocean & Coastal Management, (January 2016)Mapping paddy rice in Asia: a multi-sensor, time-series approach, , , and . (June 2016)Mapping Rice Seasonality in the Mekong Delta with Multi-Year Envisat ASAR WSM Data, , , , , and . Remote Sensing, (2015)