|
Aschbacher, J., Pongsrihadulchai, A., Karnchanasutham, S., Rodprom, C., Paudyal, D. R., Le Toan, T., 1995. Assessment of ERS-1 SAR data for rice crop mapping and monitoring. Geoscience and Remote Sensing Symposium, IGARSS 1995, pp. 2183–2185. Baatz, M., Schape, A., 2000. Multi resolution segmentation-an optimization approach for high quality multi scale image segmentation. Angewandte Geographische Informations verarbeitung XII. Karlsruhe, Germany, pp. 12−23. Bailey, K. D., Frohn, R.C., Beck, R.A., Price, M.W., 2001. Remote sensing analysis of wild rice production using Landsat 7 for the leech lake band of Chippewa in Minnesota. Photogrammetric Engineering and Remote Sensing, 67, pp. 189–192. Bilmes, J., 1998. A gentle tutorial on the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden markov models. Technical Report ICSI-TR-97-02, University of Berkeley. Bouvet, A., Le Toan, T., 2011. Use of ENVISAT/ASAR wide-swath data for timely rice fields mapping in the Mekong River Delta. Remote Sensing of Environment, 115(4), pp. 1090–1101. Chakraborty, M., Panigrahy, S., 2000. A processing and software system for rice crop inventory using multi-date RADARSAT scanSAR data. ISPRS Journal of Photogrammetry and Remote Sensing, 55, pp. 119–128. Chang, K.W., Shen, Y., Lo, J.C., 2005. Predicting rice yield using canopy reflectance measured at booting stage. Agronomy Journal, 97, pp. 872–878. Chang, L.Y., 2013. Change detection using optical satellite images (Doctoral dissertation, National Central University, Taiwan). Retrieved April 1, 2017, from http://140.113.39.130/cgi-bin/gs32/ncugsweb.cgi/ccd=dXGEmp/record?r1=1&h1=0#XXXX. Chen, C., McNairn, H., 2006. A neural network integrated approach for rice crop monitoring. International Journal of Remote Sensing, 27, pp. 1367–1393. Chen, C.F., Son, N.T., Chen, C.R., Chang, L.Y., Chiang, S.H., 2016. Rice crop mapping using Sentinel-1A phenological metrics. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B8, pp. 863-865. Chen, C.F., Son, N.T., Chang, L.Y., 2012. Monitoring of rice cropping intensity in the upper Mekong Delta, Vietnam using time-series MODIS data. Advances in Space Research, 49, pp. 292–301. Chen, J.B., Chen, C.F., Son, N.T., Chang, L.Y., Chen, C.R., 2015. Rice crop mapping with RADARSAT-2 data in the middle of Taiwan. 36th Asian Conference on Remote Sensing, Manila, Philippines, October 19-23, 2015. Chen, J.S., Lin, H., Pei, Z.Y., 2007. Application of ENVISAT ASAR data in mapping rice crop growth in southern china. IEEE Geoscience and Remote Sensing Letters, 4, pp. 431–435. Cheng, Q., 2006. Multisensor comparisons for validation of MODIS vegetation indices. Pedosphere, 16, pp. 362–370. Congalton, R. G., Green, K., 1999. Assessing the accuracy of remotely-sensed data: principles and practices. Lewis Publishers, Boca Raton, Florida, USA. Cota, N., Kasetkasem, T., Rakwatin, P., Chanwimaluang, T., Kumazawa, I., 2015. Rice phenology estimation using SAR time-series data. 2015 6th International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES), Hua-Hin, 2015, pp. 1-5. Dao, P.D., Liou, Y.A., 2015. Object-based flood mapping and affected rice field estimation with Landsat 8 OLI and MODIS data. Remote Sensing, 7(5), pp. 5077–5097. Devadas, R., Denham, R.J., Pringle, M., 2012. Support Vector Machine classification of object-based data for crop mapping, using multi-temporal Landsat imagery. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXIX-B7, pp. 185-190. Diuk-Wasser, M.A., Bagayoko, M., Sogoba, N., Dolo, G., Touré, M.B., Touré, S.F., Taylor, C.E., 2006. Mapping rice field anopheline breeding habitats in Mali, West Africa, using Landsat ETM+ sensor data. International Journal of Remote Sensing, 25, pp. 359–376. DOAE (Department Of Agricultural Extension), 2015. Agriculture information in Ayutthaya, Retrieved August 16, 2016, from http://www.ayutthaya.doae.go.th/agriculture.htm. Dong, J., Xiao, X., 2016. Evolution of regional to global paddy rice mapping methods: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 15(1), pp. 214-227. ESA (European Space Agency), 2013. Sentinel-1 User Handbook, Retrieved August 3, 2016, from https://sentinel.esa.int/documents/247904/685163/Sentinel-1_User_Handbook. Fang, H., 1998. Rice crop area estimation of an administrative division in China using remote sensing data. International Journal of Remote Sensing, 19, pp. 3411–3419. Fang, H.L., Wu, B.F., Liu, H.Y., Huang, X., 1998. Using NOAA AVHRR and landsat TM to estimate rice area year-by-year. International Journal of Remote Sensing, 19, pp. 521–525. FAO (Food and Agricultural Organization), 2001. The State of Food Insecurity in the World 2001. Rome, Italy. FAO (Food and Agricultural Organization), 2014. FAO Statistical Yearbook 2014, Retrieved October 25, 2016, from http://www.fao.org/3/a-i3590e.pdf. FAO (Food and Agricultural Organization), 2014. FAOSTAT of rice crop, Retrieved October 25, 2016, from http://www.fao.org/faostat/en/#data/QC/visualize. FAO (Food and Agricultural Organization), 2015. The State of Food Insecurity in the World 2015. Meeting the 2015 international hunger targets: taking stock of uneven progress. Rome, Italy. Ferrero, A., 2007. Rice scenario in the European Union, Retrieved February 22, 2017, from http://revues.cirad.fr/index.php/cahiers-agricultures/article/viewFile/30654/30414. Furuta, R., Tomiyama, N., 2011. A study of detection of landslide disasters due to the Pakistan Earthquake using ALOS data. 34th International Symposium on Remote Sensing of Environment, Sydney, Australia, April 10-15, 2011. Gumma, M.K., Nelson, A., Thenkabail, P.S., Singh, A.N., 2011. Mapping rice areas of South Asia using MODIS multitemporal data. Journal of Applied Remote Sensing, 5(1), 053547, doi: 10.1117/1.3619838. Gumma, M.K., Thenkabail, P.S., Maunahan, A., Islam, S., Nelson, A., 2014. Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010. ISPRS Journal of Photogrammetry and Remote Sensing, 91, pp. 98–113. Inoue, Y., Kurosu, T., Maeno, H., Uratsuka, S., Kozu, T., Dabrowska-Zielinska, K., Qi, J., 2002. Season-long daily measurements of multifrequency (Ka, Ku, X, C, and L) and full-polarization backscatter signatures over paddy rice field and their relationship with biological variables. Remote Sensing of Environment, 81, pp. 194–204. Kamthonkiat, D., Honda, K., Turral, H., Tripathi, N.K., Wuwongse, V., 2005. Discrimination of irrigated and rainfed rice in a tropical agricultural system using SPOT VEGETATION NDVI and rainfall data. International Journal of Remote Sensing, 26, pp. 2527–2547. Kane, M., 2014. GIS & Remote Sensing Applications in Food Security. Hand out, NRS, 509: Concepts in GIS & Remote Sensing, University of Rhode Island. Karakış, S., Marangoz, A. M., Büyüksalih, G., 2006. Analysis of segmentation parameters in Ecognition software using high resolution Quickbird MS imagery. ISPRS Workshop on Topographic Mapping from Space, Ankara, Turkey, February 14-16, 2006. Khobkhun, B., Prayote, A., Rakwatin, P., Dejdumrong, N., 2012. Rice phenology monitoring in Thailand using time series MODIS imagery. 33rd Asian Conference on Remote Sensing, Pattaya, Thailand, November 26-30, 2012. Kim, Y.H., Hong, S.Y., Lee, H.Y., 2008. Radar backscattering measurements of paddy rice field using multifrequency (L, C and X) and full polarization. Geoscience and Remote Sensing Symposium, IGARSS 2008, IEEE International, 4, pp. 553–556. Kim, Y.H., Hong, S.Y., Lee, H.Y., 2009. Estimation of paddy rice growth parameters using L-, C-, X-bands polarimetric scatterometer. Korean Journal of Remote Sensing, 25, pp. 31–44. Kuenzer, C., Knauer, K., 2013. Remote sensing of rice crop areas. International Journal of Remote Sensing, 34(6), pp. 2101–2139. Kupidura, P., 2016. Comparison of filters dedicated to speckle suppression in SAR images. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B7, pp. 269-276. Kurosu, T., Fujita, M., Chiba, K., 1995. Monitoring of rice crop growth from space using the ERS-1 C-Band SAR. IEEE Transactions on Geoscience and Remote Sensing, 33, pp. 1092–1096. Kurosu, T., Fujita, M., Chiba, K., 1997. The identification of rice fields using multitemporal ERS-1 C band SAR data. International Journal of Remote Sensing, 18, pp. 2953–2965. LDD (Land Development Department), 2015. Land use type in Ayutthaya, Retrieved May 20, 2016, from http://www1.ldd.go.th/WEB_OLP/Lu_58/Lu58_C/AYA58.htm. Le Toan, T., Ribbes, F., Wang, L., Floury, N., Ding, K., Kong, J.A., Fujita, M., Takashi, K., 1997. Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results. Geoscience Remote Sensing, 35 (1), pp. 41–56. Mansaray, L.R., Huang, W.J., Zhang, D.D., Huang, J.F., Li, J., 2017. Mapping rice fields in urban Shanghai, Southeast China, using Sentinel-1A and Landsat 8 datasets. Remote Sensing, 9(3), pp. 257, doi: 10.3390/rs9030257. Mascarenhas, N.D.A., 1997. An overview of speckle noise filtering in SAR images. Image Processing Techniques, First Latino-American Seminar on Radar Remote Sensing, pp. 71-79. McCloy, K.R., Smith, F.R., Robinson, M.R., 1987. Monitoring rice areas using Landsat MSS data. International Journal of Remote Sensing, 8, pp. 741–749. Mosleh, M.K., Hassan, Q.K., 2014. Development of a remote sensing-based ‘‘Boro” rice mapping system. Remote Sensing, 6, pp. 1938–1953. Mosleh, M. K., Hassan, Q. K., Chowdhury, E. H., 2015. Application of remote sensors in mapping rice area and forecasting its production: A review. Sensors, 15(1), pp. 769-791. Natural Resources Canada, 2016. Image enhancement, Retrieved March 25, 2017, from http://www.nrcan.gc.ca/earth-sciences/geomatics/satellite-imagery-air-photos/satellite-imagery-products/educational-resources/9389. Nelson, A., Setiyono, T., Rala, A.B., Quicho, E.D., Raviz, J.V., Abonete, P.J., Maunahan, A.A., Garcia, C.A., Bhatti, H.Z.M., Villano, L.S., Thongbai, P., Holecz, F., Barbieri, M., Collivignarelli, F., Gatti, L., Quilang, E.J.P., Mabalay, M.R.O., Mabalot, P.E., Barroga, M.I., Bacong, A.P., Detoito, N.T., Berja, G.B., Varquez, F., Wahyunto, Kuntjoro, D., Murdiyati, R., Pazhanivelan, S., Kannan, P., Mary, P.C.N., Subramanian, E., Rakwatin, P., Intrman, A., Setapayak, T., Lertna, S., Minh, V.Q., Tuan, V.Q., Duong, T.H., Quyen, N.H., Kham, D.V., Hin, S., Veasna, T., Yadav, M., Chin, C., Ninh, N.H., 2014. Towards an operational SAR-based rice monitoring system in Asia: examples from 13 demonstration sites across Asia in the RIICE project. Remote Sensing, 6, pp. 10773–10812. Nguyen, D.B., Clauss, K., Cao, S., Naeimi, V., Kuenzer, C., Wagner, W., 2015. Mapping rice seasonality in the Mekong Delta with multi-year Envisat ASAR WSM data. Remote Sensing Letters, 7, pp. 15868–15893. Nguyen, L.D., Phung, H.P., 2012. Rice crop monitoring in the Mekong Delta, Vietnam using TerraSar-X and EnviSat-Asar radar data. International Symposium on Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences, 16-20 October 2012, Ho Chi Minh, Vietnam, October 16-20, 2012. Nuarsa, I.W., Nishio, F., Hongo, C., Mahardika, I.G., 2012. Using variance analysis of multitemporal MODIS images for rice field mapping in Bali Province, Indonesia. International Journal of Remote Sensing, 33, pp. 5402–5417. OAE (Office of Agricultural Economics), 2016. Agricultural statistics of Thailand 2015. Center for Agricultural Information, Ministry of Agriculture and Co-operatives, Bangkok, pp. 3-5. Office of Ayutthaya Province, 2015. Annual summary report of Ayutthaya 2015, Retrieved February 15, 2017, from http://ww2.ayutthaya.go.th/ebook/detail/1/data.html. Oguro, Y., Suga, Y., Takeuchi, S., Ogawa, M., Konishi, T., Tsuchiya, K., 2001. Comparison of SAR and optical sensor data for monitoring of rice plant around Hiroshima. Advances in Space Research, 28, pp. 195–200. Oh, Y.S., Hong, S.Y., Kim, Y.J., Hong, J.Y., Kim, Y.H., 2009. Polarimetric backscattering coefficients of flooded rice fields at L- and C-bands: Measurements, modeling, and data analysis. IEEE Transactions on Geoscience and Remote Sensing, 47, pp. 2714–2721. Oyoshi, K., Sobue, S., 2011. Paddy field mapping by integrating ALOS AVNIR-2 and PALSAR data. 32nd Asian Conference on Remote Sensing, Taipei, Taiwan, October 3-7, 2011. Oyoshi, K., Tomiyama, N., Okumura, T., Sobue, S., Sato, J., 2015. Mapping rice-planted areas using time-series synthetic aperture radar data for the Asia-RiCE activity. Paddy and Water Environment, doi: 10.1007/ s10333-014-0515-x. Panigrahy, S., Chakraborty, M., Sharma, S. A., Kundu, N., Ghose, S.C., Pal, M., 1997. Early estimation of rice area using temporal ERS-1 synthetic aperture radar data-a case study for the Howrah and Hughy districts of West Bengal, India. International Journal of Remote Sensing, 18, pp. 1827–1833. Peña-Barragán, J.M., Ngugi, M.K., Plant, R.E., Six, J., 2011. Object-based crop identification using multiple vegetation index, textural features and crop phenology. Remote Sensing of Environment, 115, pp. 1301–1316. Pinter, Jr. P. J., Hatfield, J. L., Schepers, J. S., Barnes, E. M., Moran, M. S., Daughtry, C. S. T., Upchurch, D. R., 2003. Remote sensing for crop management. Photogrammetric Engineering & Remote Sensing, 69(6), pp. 647-664. Raviz, J., Mabalay, M.R., Laborte, A., Nelson, A., Holecz, F., Quilang, E.J., Barbieri, M., Dios, J.D., Collivignarelli, F., Gatti, L., Rala, A., Garcia, C., Mabalot, P., Mirandilla, J.R., Doverte, M., 2015. Mapping rice areas in Mindanao using the first images from Sentinel-1A: The PRISM Project experience. 36th Asian Conference on Remote Sensing, Manila, Philippines, October 19-23, 2015. Ribbes, F., Le Toan, T., 1999. Rice field mapping and monitoring with RADARSAT data. International Journal of Remote Sensing, 20(4), pp. 745-765. RIICE (Remote sensing-based Information and Insurance for Crops in Emerging economies), 2012. RIICE Factsheet, Retrieved August 20, 2016, from http://www.riice.org/wp-content/uploads/downloads/2013/12/RIICE- Factsheet1.pdf. Shao, Y., Fan, X., Liu, H., Xiao, J., Ross, S., Brisco, B., Brown, R., Staples, G., 2001. Rice monitoring and production estimation using multitemporal RADARSAT. Remote Sensing of Environment, 76, pp. 310–325. Singh, A., 1989. Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10 (6), pp. 989-1003. Singha, M., Wu, B., Zhang, M., 2016. An object-based paddy rice classification using multi-spectral data and crop phenology in Assam, Northeast India. Remote Sensing, 8(6), 479, doi: 10.3390/rs8060479. Son, N.T., 2011. Agriculture Monitoring Using Multi-Temporal MODIS Data in the Mekong Delta, Vietnam (Doctoral dissertation, National Central University, Taiwan). Retrieved April 1, 2017 from http://140.113.39.130/cgi-bin/gs32/ncugsweb.cgi/ccd=V4Sgee/record?r1=1&h1=0#XXXX. Son, N.T., Chen, C.F., Chen, C.R., Chang, L.Y., 2013. Satellite-based investigation of flood-affected rice cultivation areas in Chao Phraya River Delta, Thailand. ISPRS Journal of Photogrammetry and Remote Sensing, 86, pp. 77-88. Son, N.T., Chen, C.F., Chen, C.R., Duc, H.N., Chang, L.Y., 2013. A phenology-based classification of time-series MODIS data for rice crop monitoring in Mekong Delta, Vietnam. Remote Sensing, 6, pp. 135–156. Suga, Y., Konishi, T., 2008. Rice crop monitoring using X, C and L band SAR data. SPIE, 7104, pp. 710410. Tan, C.P., Koay, J.Y., Lim, K.S., Ewe, H.T., Chuah, H.T., 2007. Classification of multitemporal SAR images for rice crops using combined Entropy Decomposition and Support Vector Machine technique. Progress in Electromagnetics Research, 71, pp. 19–39. Thai Meteorological Department, 2016. Agrometeorological Report, Retrieved January 20, 2017, from http://www.arcims.tmd.go.th/DailyDATA/Agroreport.html. Trimble, 2010. eCognition® Developer 8.64.0 Reference Book. Trimble Germany GmbH, Trappentreustr. 1, D-80339 München, Germany. Turner, M.D., Congalton, R.G., 1998. Classification of multi-temporal SPOT-XS satellite data for mapping rice fields on a West African floodplain. International Journal of Remote Sensing, 19, pp. 21–41. Wheeler, T., von Braun, J., 2013. Climate change impacts on global food security. Science, 341(6145), pp. 508–513. Wilson, P.L., 2011. Pedagogical practices in the teaching of English language in secondary public schools in Parker County (Doctoral dissertation). Retrieved from http://drum.lib.umd.edu/bitstream/1903/11801/1/Wilson_umd_0117E_12354.pdf. Xiao, X.M., Boles, S., Frolking, S., Li, C.S., Babu, J.Y., Salas, W., Moore, B., 2006. Mapping paddy rice agriculture in South and Southeast Asia using multitemporal MODIS images. Remote Sensing of Environment, 100, pp. 95–113. Zhang, Y., Wang, C.Z., Wu, J.P., Qi, J.G., Salas, W.A., 2009. Mapping paddy rice with multitemporal ALOS/PALSAR imagery in southeast China. International Journal of Remote Sensing, 30, pp. 6301–6315.
|