Application of multitemporal ERS synthetic aperture radar in delineating rice cropping systems in the Mekong river delta

Liew, Soo Chin; Kam, S. P.; Tuong, T. P.; Chen, P.; Minh, Võ Quang; Balababa, L.; Lim, H. S.

doi:10.1109/igarss.1997.615350

Cited by 14 publications

(17 citation statements)

References 5 publications

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“…Other studies have shown that SAR is sensitive to a number of features thought to be important for mosquito production, e.g. areas cultivated with rice (Kurosu et al 1995, Panigrahy et al 1997, Okamoto and Kawashima 1999, different cultural practices of rice cultivation (Chakraborty et al 1997), local variation in planting dates, and several agronomic parameters of the developing rice (Le Toan et al 1997,Liew et al 1998). In particular, SAR can detect differences in rice plant height and biomass due to growth or variety, factors known to affect larval densities through changes in light, temperature, mechanical obstruction, and nutritional state of the water (Chandler and Highton 1975,1976,Snow 1983).…”

Section: Introductionmentioning

confidence: 99%

Patterns of irrigated rice growth and malaria vector breeding in Mali using multi‐temporal ERS‐2 synthetic aperture radar

Diuk‐Wasser

Dolo

Bagayoko

et al. 2006

International Journal of Remote Sensing

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We explored the use of the European Remote Sensing Satellite 2 Synthetic Aperture Radar (ERS-2 SAR) to trace the development of rice plants in an irrigated area near Niono, Mali and relate that to the density of anopheline mosquitoes, especially An. gambiae. This is important because such mosquitoes are the major vectors of malaria in sub-Saharan Africa, and their development is often coupled to the cycle of rice development. We collected larval samples, mapped rice fields using GPS and recorded rice growth stages simultaneously with eight ERS-2 SAR acquisitions. We were able to discriminate among rice growth stages using ERS-2 SAR backscatter data, especially among the early stages of rice growth, which produce the largest numbers of larvae. We could also distinguish between basins that produced high and low numbers of anophelines within the stage of peak production. After the peak, larval numbers dropped as rice plants grew taller and thicker, reducing the amount of light reaching the water surface. ERS-2 SAR backscatter increased concomitantly. Our data support the belief that ERS-2 SAR data may be helpful for mapping the spatial patterns of rice growth, distinguishing different agricultural practices, and monitoring the abundance of vectors in nearby villages.

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Section: Introductionmentioning

confidence: 99%

Patterns of irrigated rice growth and malaria vector breeding in Mali using multi‐temporal ERS‐2 synthetic aperture radar

Diuk‐Wasser

Dolo

Bagayoko

et al. 2006

International Journal of Remote Sensing

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“…The German-Vietnamese WISDOM (Water-related Information System for the sustainable Development of the Mekong Delta in Vietnam) project is currently designing and implementing an information system for the Mekong Delta, containing information from the fields of hydrology, sociology, information technology and earth observation [22]. A considerable amount of scientific research has been carried on the matter of rice crop and land cover monitoring using SAR data, e.g., [2,[23][24][25][26][27][28][29][30]. These results are promising, providing users with accurate information on the rice cultivated areas and even the estimation of potential rice yields was demonstrated.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Changes in Rice Cultivated Area from SAR and Optical Satellite Images in Ben Tre and Tra Vinh Provinces in Mekong Delta, Vietnam

et al. 2014

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Abstract:The objective of this study was to obtain up-to-date information on land use and to identify long term changes in land use, especially rice, aquaculture and other crops in Ben Tre and Tra Vinh provinces in Vietnam's Mekong Delta. Long-term changes in land-use of the study area have not been studied using long time series of SAR and optical Earth observation (EO) data before. EO data from 1979-2012 was used: ENVISAT ASAR Wide Swath Mode, SPOT and Landsat imagery. An unsupervised ISODATA classification was performed on multitemporal SAR images. The results were validated using ground truth data. Using the Synthetic Aperture Radar (SAR) imagery maps for 2005, 2009 and 2011 were obtained. Different rice crops, aquaculture and fruit trees could be distinguished with an overall accuracy of 80%. Using available optical imagery the time series was extended from 2005 to 1979. Long-term decrease in the rice acreage and increase in the aquaculture acreage could be detected.

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“…These methods have been utilized for the Mekong Delta, and the first notable results have been published by Liew et al [29], who derived backscatter change from ERS-2 time series and classified eight different rice-cropping schemes according to their temporal backscatter behavior. Bouvet et al [18] were the first to employ the multi-temporal method to produce a map of rice-cropping schemes and areas for the whole Mekong Delta with the use of Envisat ASAR wide swath data.…”

mentioning

confidence: 99%

“…The backscatter images, acquired by the C-band SAR onboard ERS-1 with a repeat time of 35 days, were used in numerous SAR-based multi-temporal backscatter analyses for rice mapping case studies in Thailand [22], Indonesia [21], Japan [21,23,24], Vietnam [29], Canada [30,31] and India [25,26,32,33]. Methods developed for ERS-1 SAR data have been advanced and successfully transferred to RADARSAT-1 acquisitions at C-band with horizontal co-polarization and a 24-day repeat cycle [19,[34][35][36][37][38][39].…”

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confidence: 99%

Mapping Rice Seasonality in the Mekong Delta with Multi-Year Envisat ASAR WSM Data

et al. 2015

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Abstract:Rice is the most important food crop in Asia, and the timely mapping and monitoring of paddy rice fields subsequently emerged as an important task in the context of food security and modelling of greenhouse gas emissions. Rice growth has a distinct influence on Synthetic Aperture Radar (SAR) backscatter images, and time-series analysis of C-band images has been successfully employed to map rice fields. The poor data availability on regional scales is a major drawback of this method. We devised an approach to classify paddy rice with the use of all available Envisat ASAR WSM (Advanced Synthetic Aperture Radar Wide Swath Mode) data for our study area, the Mekong Delta in Vietnam. We used regression-based incidence angle normalization and temporal averaging to combine acquisitions from multiple tracks and years. A crop phenology-based classifier has been applied to this time series to detect single-, double-and triple-cropped rice areas (one to three harvests per year), as well as dates and lengths of growing seasons. Our classification has an overall accuracy of 85.3% and a kappa coefficient of 0.74 compared to a reference dataset and correlates highly with official rice area statistics at the provincial level (R² of 0.98). SAR-based time-series analysis allows accurate mapping and monitoring of rice areas even under adverse atmospheric conditions.

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Application of multitemporal ERS synthetic aperture radar in delineating rice cropping systems in the Mekong river delta

Cited by 14 publications

References 5 publications

Patterns of irrigated rice growth and malaria vector breeding in Mali using multi‐temporal ERS‐2 synthetic aperture radar

Patterns of irrigated rice growth and malaria vector breeding in Mali using multi‐temporal ERS‐2 synthetic aperture radar

Monitoring Changes in Rice Cultivated Area from SAR and Optical Satellite Images in Ben Tre and Tra Vinh Provinces in Mekong Delta, Vietnam

Mapping Rice Seasonality in the Mekong Delta with Multi-Year Envisat ASAR WSM Data

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