Rice monitoring and production estimation using multitemporal RADARSAT

Shao, Yun; Fan, Xiangtao; Liu, Hao; Xiao, Jin-Long; Ross, Shawn; Brisco, Brian; Brown, Ralph B.; Staples, Gordon

doi:10.1016/s0034-4257(00)00212-1

Cited by 307 publications

(163 citation statements)

References 23 publications

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“…RADARSAT-1 has been successfully used to study rice (Shao et al 2001) and malaria (Kaya et al 2004). Although Ribbes and Le Toan (1999) found that RADARSAT-1 data had lower dynamic range than ERS, more work need to be done with the complementarity of C-HH and C-VV polarization.…”

Section: Discussionmentioning

confidence: 99%

“…Although Ribbes and Le Toan (1999) found that RADARSAT-1 data had lower dynamic range than ERS, more work need to be done with the complementarity of C-HH and C-VV polarization. Multi-frequency and multi-polarization SAR will certainly offer the best rice discriminating capability and reduce the number of data acquisitions required for accurate discrimination accuracy (Shao et al 2001). …”

Section: Discussionmentioning

confidence: 99%

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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: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

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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“…Timely and reliable information about paddy rice distribution over wide areas is a topic of global interest and has special significance to China, where grain accounts for more than 40% of crop production (Shao et al, 2001). Northeast China is the major japonica rice producing region in China with a grain yield accounting for 44.6% of the total output of national japonica rice in 2009 (Liu et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Okamoto and Fukuhara (1996) developed a model to estimate the area of paddy rice fields in pixels from Landsat thematic mapper (TM) data and perform validation in Hokkaido and Miyagi Prefectures in Japan. Synthetic aperture radar (SAR) is anticipated to be the primary high-resolution remote sensing data for rice detection, especially in tropical and subtropical regions with long-term cloudy and rainy weather (Shao et al, 2001;Zhang et al, 2009). Satisfactory classification accuracy was obtained on a local scale with the aforementioned high spatial resolution satellite data.…”

Section: Introductionmentioning

confidence: 99%

Multi-year monitoring of paddy rice planting area in Northeast China using MODIS time series data

Shi

Huang

Zhang

2013

J. Zhejiang Univ. Sci. B

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Abstract:The objective of this study was to investigate the tempo-spatial distribution of paddy rice in Northeast China using moderate resolution imaging spectroradiometer (MODIS) data. We developed an algorithm for detection and estimation of the transplanting and flooding periods of paddy rice with a combination of enhanced vegetation index (EVI) and land surface water index with a central wavelength at 2 130 nm (LSWI 2130 ). In two intensive sites in Northeast China, fine resolution satellite imagery was used to validate the performance of the algorithm at pixel and 3×3 pixel window levels, respectively. The commission and omission errors in both of the intensive sites were approximately less than 20%. Based on the algorithm, annual distribution of paddy rice in Northeast China from 2001 to 2009 was mapped and analyzed. The results demonstrated that the MODIS-derived area was highly correlated with published agricultural statistical data with a coefficient of determination (R 2 ) value of 0.847. It also revealed a sharp decline in 2003, especially in the Sanjiang Plain located in the northeast of Heilongjiang Province, due to the oversupply and price decline of rice in 2002. These results suggest that the approaches are available for accurate and reliable monitoring of rice cultivated areas and variation on a large scale.

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“…In SAR, the calm water shows least backscattering values among the natural objects in microwave region. Calm water and completely submerged land covers under water have the same backscattering range 12,13 . RADARSAT image for water pixel ranges between -17 and -35 db which are being used to extract the water pixel.…”

Section: Resultsmentioning

confidence: 99%

Flood Risk Assessment of Panchganga River (Kolhapur District, Maharashtra) Using GIS-Based Multicriteria Decision Technique

Panhalkar¹,

Jarag²

2017

Current Science

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Flood hazard causes great loss to lives and properties leading to disturbance in human society. Flood is the single most hydrometeorological hazard causing substantial losses. To gain better understanding of the flood phenomena especially for planning and mitigation purposes, flood risk analysis is often required. For the present study, the middle part of Panchganga river of Kolhapur district, Maharashtra was selected. The main objective of the present study was to evaluate the potential flood risk areas of Panchganga river using GIS-based multicriteria decision analysis. The flood scenario across the Panchganga river was analysed using RADARSAT SAR data of 5 August 2005. To remove the speckle of SAR image, a median filtered technique was used. Thresholding technique was applied on RADARSAT SAR data to segregate flooded areas from non-flooded areas. Factors considered for evaluation of the flood risk analysis were flood layer, elevation, infrastructure and land use/ land cover analysis. The spatial multicriteria analysis with ranking, rating and analytical hierarchy process (AHP) method was used to compute the priority weights of each criterion. Accuracy assessment reveals that AHP is the most accurate technique to assess flood risk of Panchganga river.

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Rice monitoring and production estimation using multitemporal RADARSAT

Cited by 307 publications

References 23 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

Multi-year monitoring of paddy rice planting area in Northeast China using MODIS time series data

Flood Risk Assessment of Panchganga River (Kolhapur District, Maharashtra) Using GIS-Based Multicriteria Decision Technique

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