Towards an operational SAR-based rice monitoring system in Asia: Examples from 13 demonstration sites across Asia in the RIICE project

Remote Sensing

Volumn 6, Issue 11, 2014, Pages 10773-10812

  Nelson, Andrew ^a   Setiyono, Tri ^a   Rala, Arnel B ^a   Quicho, Emma D ^a   Raviz, Jeny V ^a   Abonete, Prosperidad J ^a   Maunahan, Aileen A ^a   Garcia, Cornelia A ^a   Bhatti, Hannah Zarah M ^a   Villano, Lorena S ^a   Thongbai, Pongmanee ^a   Holecz, Francesco ^b   Barbieri, Massimo ^b   Collivignarelli, Francesco ^b   Gatti, Luca ^b   Quilang, Eduardo Jimmy P ^c   Mabalay, Mary Rose O ^c   Mabalot, Pristine E ^c   Barroga, Mabel I ^c   Bacong, Alfie P ^c   Detoito, Norlyn T ^c   Berja, Glorie Belle ^c   Varquez, Frenciso ^c   Wahyunto, ^d   Kuntjoro, Dwi ^d   Murdiyati, Sri Retno ^d   Pazhanivelan, Sellaperumal ^e   Kannan, Pandian ^e   Nirmala Mary, Petchimuthu Christy ^e   Subramanian, Elangovan ^e   Rakwatin, Preesan ^f   Intrman, Amornrat ^g   Setapayak, Thana ^g   Lertna, Sommai ^g   Minh, Vo Quang ^h   Tuan, Vo Quoc ^h   Duong, Trinh Hoang ⁱ   Quyen, Nguyen Huu ⁱ   Van Kham, Duong ⁱ   Hin, Sarith ^j   Veasna, Touch ^j   Yadav, Manoj ^k   Chin, Chharom ^l   Ninh, Nguyen Hong ^l   more..

^a INTERNATIONAL RICE RESEARCH INSTITUTE   (Philippines)

^b Sarmap   (Switzerland)

^c PHILIPPINE RICE RESEARCH INSTITUTE   (Philippines)

^d INDONESIAN AGENCY FOR AGRICULTURAL RESEARCH AND DEVELOPMENT   (Indonesia)

^e TAMIL NADU AGRICULTURAL UNIVERSITY   (India)

^f GEO INFORMATICS AND SPACE TECHNOLOGY DEVELOPMENT AGENCY   (Thailand)

^g Thailand Rice Department (TRD)   (Thailand)

^h CAN THO UNIVERSITY   (Viet Nam)

ⁱ Hydrology and Environment   (Viet Nam)

^j Cambodian Agricultural Research and Development Institute   (Cambodia)

^k Programme Office   (India)

^l SWISS AGENCY FOR DEVELOPMENT AND COOPERATION   (Switzerland)

more..

Author keywords

Asia; COSMO skymed; Food security; Rice; SAR; TerraSAR X

Indexed keywords

BACKSCATTERING; CROPS; FOOD SUPPLY; NETWORK SECURITY; SYNTHETIC APERTURE RADAR; WATER MANAGEMENT;

ASIA; COSMO SKYMED; FOOD SECURITY; RICE; TERRASAR-X;

RADAR IMAGING;

EID: 84912097595     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs61110773     Document Type: Article

References (35)

1. Maclean, J.L.; Hardy, B.; Hettel, G.P. Rice Almanac, 4th ed.; International Rice Research Institute: Los Baños, Philippines, 2013; p. 298.
2. FAO FAOSTAT. Available online: http: //faostat3.fao.org/faostat-gateway/go/to/home/E (accessed on 1 June 2014).
3. Timmer, C.P. The Changing Role of Rice in Asia's Food Security; ADB Sustainable Development Working Paper Series, No 15; Asian Development Bank (ADB): Manila, Philippines, 2010; p. 18.
4. Xiao, X.; Boles, S.; Frolking, S.; Li, C.; Babu, J.Y.; Salas, W.; Moore, B. Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images. Remote Sens. Environ. 2006, 100, 95-113.
5. Gumma, M.K.; Thenkabail, P.S.; Maunahan, A.; Islam, S.; Nelson, A. 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 J. Photogramm. Remote Sens. 2014, 91, 98-113.
6. Balagtas, J.V.; Bhandari, H.; Cabrera, E.R.; Mohanty, S.; Hossain, M. Did the commodity price spike increase rural poverty? Evidence from a long-run panel in Bangladesh. Agric. Econ. 2014, 45, 303-312.
7. Mittal, A. The 2008 Food Price Crisis: Rethinking Food Security Policies; United Nations: New York, NY, USA, 2009; pp. 1-40.
8. Dawe, D.; Timmer, P.C. Why stable food prices are a good thing: Lessons from stabilizing rice prices in Asia. Glob. Food Sec. 2012, 1, 127-133.
9. Huke, R.E.; Huke, E.H. Rice Area by Type of Culture: South, Southeast, and East Asia, A Revised and Updated Data Base; International Rice Research Institute: Manila, Philippines, 1997; p. 32 .
10. NASA Cloud Fraction. Available online: http: //neo.sci.gsfc.nasa.gov/view.php?datasetId= MODAL2_M_CLD_FR (accessed on 1 June 2014).
11. Pandey, S.; Byerlee, D.; Dawe, D.; Dobermann, A.; Mohanty, S.; Rozelle, S.; Hardy, B. Rice in the Global Economy: Strategic Research and Policy Issues for Food Security; International Rice Research Institute (IRRI): Los Banos, Philippines, 2010; p. 477.
12. Nguyen, T.T.H.; de Bie, C.A.J.M.; Ali, A.; Smaling, E.M.A.; Chu, T.H. Mapping the irrigated rice cropping patterns of the Mekong delta, Vietnam, through hyper-temporal SPOT NDVI image analysis. Int. J. Remote Sens. 2012, 33, 415-434.
13. Boschetti, M.; Nutini, F.; Manfron, G.; Brivio, P.A.; Nelson, A. Comparative analysis of normalised difference spectral indices derived from MODIS for detecting surface water in flooded rice cropping systems. PLoS One 2014, 9, e88741.
14. Le Toan, T.; Ribbes, F.; Wang, L.F.; Floury, N.; Ding, K.H.; Kong, J.A.; Fujita, M.; Kurosu, T. Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results. IEEE Trans. Geosci. Remote Sens. 1997, 35, 41-56.
15. Inoue, Y.; Kurosu, T.; Maeno, H.; Uratsuka, S.; Kozu, T.; Dabrowska-Zielinska, K.; Qi, J. 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 Sens. Environ. 2002, 81, 194-204.
16. Suga, Y.; Konishi, T. Rice crop monitoring using X-, C-and L-band SAR data. Proc. SPIE 2008, 7104, 710410.
17. Bouvet, A.; le Toan, T.; Lam-Dao, N. Monitoring of the rice cropping system in the Mekong delta using ENVISAT/ASAR dual polarization data. IEEE Trans. Geosci. Remote Sens. 2009, 47, 517-526.
18. Oh, Y.; Hong, S.-Y.; Kim, Y.; Hong, J.-Y.; Kim, Y.-H. Polarimetric backscattering coefficients of flooded rice fields at L-and C-bands: Measurements, modeling, and data analysis. IEEE Trans. Geosci. Remote Sens. 2009, 47, 2714-2721.
19. Kim, Y.H.; Hong, S.Y.; Lee, Y.H. Estimation of paddy rice growth parameters using L-, C-, X-bands polarimetric scatterometer. Korean J. Remote Sens. 2009, 25, 31-44.
20. Lopez-Sanchez, J.M.; Ballester-Berman, J.D.; Hajnsek, I. First results of rice monitoring practices in Spain by means of time series of TerraSAR-X dual-pol images. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2011, 4, 412-422.
21. Lopez-Sanchez, J.M.; Cloude, S.R.; Ballester-Berman, J.D. Rice phenology monitoring by means of SAR polarimetry at X-band. IEEE Trans. Geosci. Remote Sens. 2012, 50, 2695-2709.
22. Inoue, Y.; Sakaiya, E. Relationship between X-band backscattering coefficients from high-resolution satellite SAR and biophysical variables in paddy rice. Remote Sens. Lett. 2013, 4, 288-295.
23. Inoue, Y.; Sakaiya, E.; Wang, C. Capability of C-band backscattering coefficients from high-resolution satellite SAR sensors to assess biophysical variables in paddy rice. Remote Sens. Environ. 2014, 140, 257-266.
24. Liew, S.C.; Kam, S.P.; Tuong, T.P.; Chen, P.; Minh, V.Q.; Lim, H. Landcover classification over the Mekong river delta using ERS and RADARSAT SAR images. In Proceedings of the 1997 IEEE International Geoscience and Remote Sensing "Remote Sensing-A Scientific Vision for Sustainable Development" (IGARSS '97), 3-8 August 1997; Volume 4, pp. 2038-2040.
25. Holecz, F.; Barbieri, M.; Collivignarelli, F.; Gatti, L.; Nelson, A.; Setiyono, T.D.; Boschetti, M.; Manfron, G.; Brivio, P.A.; Quilang, J.E.; et al. An operational remote sensing based service for rice production estimation at national scale. In Proceedings of the Living Planet Symposium 2013, Edinburgh, UK, 9-11 September 2013; ESA: Edinburgh, UK, 2013.
26. Yoshida, S. Fundamentals of Rice Crop Science; International Rice Research Institute (IRRI): Los Baños, Philippines, 1981; p. 270 .
27. Tortora, R.D. A note on Sample size estimation for multinomial populations. Am. Stat. 1978, 32, 100-102.
28. De Grandi, G.F.; Leysen, M.; Lee, J.S.; Schuler, D. Radar reflectivity estimation using multiple SAR scenes of the same target: Technique and applications. In Proceedings of the 1997 IEEE International Geoscience and Remote Sensing "Remote Sensing-A Scientific Vision for Sustainable Development" (IGARSS '97), Singapore, 3-8 August 1997; Volume 2, pp. 1047-1050.
29. Aspert, F.; Bach-Cuadra, M.; Cantone, A.; Holecz, F.; Thiran, J.-P. Time-varying segmentation for mapping of land cover changes. In Proceedings of ENVISAT Symposium, Montreux, Switerland, 23-27 April 2007.
30. RIICE. Available online: http://www.riice.org (accessed on 1 September 2014).
31. Asia-RiCE. Available online: http://asia-rice.org (accessed on 1 September 2014).
32. GEOGLAM Crop Monitor. Available online: http://www.geoglam-crop-monitor.org (accessed on 1 September 2014).
33. Innovative Data Collection Methods for Agricultural and Rural Statistics. Available online: http://www.adb.org/projects/46399-001/main (accessed on 1 September 2014).
34. ERMES. Available online: http://www.ermes-fp7space.eu (accessed on 1 September 2014).
35. Rosenqvist, A.; Shimada, M.; Suzuki, S.; Ohgushi, F.; Tadono, T.; Watanabe, M.; Tsuzuku, K.; Watanabe, T.; Kamijo, S.; Aoki, E. Operational performance of the ALOS global systematic acquisition strategy and observation plans for ALOS-2 PALSAR-2. Remote Sens. Environ. 2014, doi:10.1016/j.rse.2014.04.011.