Temporal Monitoring of Aus Rice Using MODIS 16 Days Composite NDVI Data: a study over Barisal region of Bangladesh

Mozammel Haque Sarker



Bangladesh is an agricultural country. About 80% of the total population is depending on agriculture. Rice is our main crop. It has three types namely Aus, Aman and Boro. The Area of Aman 52.46% is higher than that of Boro 36.43% and remaining are Aus. SPARRSO has been successfully monitored Aman and Boro rice for last two decades. Due to less percentage of Aus rice area and planting time mostly in monsoon period no one has monitored it regularly. But accurate and timely information on Aus growth and their acreages are essential for strengthening countries food security. Conventional methods of collecting this information are relatively costly and time consuming. Contrarily, satellite observation with its unique capability to observe the earth's surface repeatedly over large area offers a potential means for country scale monitoring of crop condition. The optical remote sensing NOAA, Terra/Aqua, SPOT, Landsat images are not so enough for temporal monitoring of Aus rice due to cloud cover in monsoon period. RADARSAT data is very much useful for such purpose but data is not available as it is very expensive. So study of Aus rice monitoring using MODIS, 16-days composite, NDVI images at 250 m resolution may effectively use for such purpose. The under laying idea of using 16-day composite NDVI images is that there is a good possibility of getting cloud free images every after 16 days. Masked layer of settlement, river and non-crop areas have been applied to get the actual acreage of Aus plantation from composite NDVI images.

In the above context an attempt was made to construct the temporal and spatial growth profile of Aus rice of 2010 over Barisal region of Bangladesh using MODIS 16-day composites NDVI data. For identifying the temporal and spatial growth profiles, representative numbers of sampling sites were selected from the temporal composite of NDVI images. The study reveals that about 263011 hectares areas have been found in Barisal region under Aus rice cultivation in 2010.

Keywords: Accurate, acreage, conventional, Satellite observation, MODIS, NDVI



Fensholt. R. and Sandholt. I, June 2005, Evaluation of MODIS and NOAA AVHRR vegetation indices with in situ measurements in a semi-arid environment, International Journal of Remote Sensing, 26, 12 / 20, 2561 – 2594

Goward, S.A., Tucker, C.J. and D. Dye, 1985, North American vegetation patterns observed with the NOAA-7 Advanced Very High Resolution Radiometer. Vegetation, 64, 3.

Kevin Gallo, Lei Ji, Brad Reed, Jeffery Eidenshink, John Dwyer, August 2005, Multi-platform comparisons of MODIS and AVHRR normalized difference vegetation index data, Remote Sensing of Environment 99 (2005) 221 – 231

Pei-Yu Chen, Gunar Fedosejevs, Mario Tiscareño-LóPez and Jeffrey G. Arnold, August 2006, Assessment of MODIS-EVI, MODIS-NDVI and VEGETATION-NDVI Composite Data Using Agricultural Measurements: An Example at Corn Fields in Western Mexico, Journal of Environmental Monitoring and Assessment, Volume 119, Numbers 1-3

Remote sensing note, Japan Association on Remore Sensing, IIS, University of Tokyo, Japan, date of issue: 19.05.1993

Rizzi. R, Rudoife. B. F. T, Shimabukuro. Y. E. and Doraiswamy. P. C, October 2006. Assessment of MODIS LAI retrievals over soybean crop in Southern Brazil, International Journal of Remote Sensing 27, 19, 10, 4091–4100

Sarker, M.H, M. Tech thesis, (2005), “Characterization of the growth of the Rabi crops and Boro rice in the context of Bangladesh based on NOAA-AVHRR data”

Sarker, M.H. and Rahman,.H., (2007), Crop Growth Monitoring over Bangladesh using NOAA-AVHRR Based Normalized Difference Vegetation Index (NDVI) Time Series Data, Journal of Remote Sensing and Environment, Volume 4

M H Sarker, M S Ali, S M M Rahman, M A Haque, K F Equbal, (2011); “Temporal Monitoring of Aman Rice using MODIS 16 days Composite NDVI data” Journal of Environmental Science & Natural Resources Vol. 4, No.1, P (163-170)

Sarker M H, et. al. “Aman rice monitoring using MODIS 16 day composite NDVI data” Proceeding in the ISNET/NARSS seminar on “Bridging the Gap Through Satellite Technology” at Cairo, Egypt on 20 October 2010

Sweets. S D (1999) The smoothing algorithm effectively corrects these erroneous NDVI values based on characteristics of the valid NDVI curve, International Journal of Remote Sensing, 27, 19, 10, 4083–4090

Xiangming Xiao,T, Stephen Boles, Jiyuan Liu, Dafang Zhuang, Steve Frolking, Changsheng Li, William Salas, Berrien Moore, December (2004), Mapping paddy rice agriculture in southern China using multi-temporal MODIS images, Remote Sensing of Environment 106 (2007), 39–58

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ISSN : 2251-1563