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Temporal Monitoring of Monsoon Crop Using Modis 16 Days Composite Ndvi Data for Food Security

M. H. Sarker
Bangladesh Space Research and Remote Sensing Organization (SPARRSO),Agargaon, Sher-e-Bangla Nagar, Dhaka-1207

M. H. Uddin
Bangladesh Space Research and Remote Sensing Organization (SPARRSO),Agargaon, Sher-e-Bangla Nagar, Dhaka-1207

M. S. Ali
Bangladesh Space Research and Remote Sensing Organization (SPARRSO),Agargaon, Sher-e-Bangla Nagar, Dhaka-1207

M. R. Akhand
Bangladesh Space Research and Remote Sensing Organization (SPARRSO),Agargaon, Sher-e-Bangla Nagar, Dhaka-1207

S. M. M. Rahman
Bangladesh Space Research and Remote Sensing Organization (SPARRSO),Agargaon, Sher-e-Bangla Nagar, Dhaka-1207

Abstract/ Executive Summary:

Bangladesh is an agricultural country and rice is our main crop. It has three types namely Aus, Aman and Boro. The area of Aman is (52.46%) 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 (Monsoon crop) 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 study reveals that about 263011 hectare areas have been found in Barisal region under Aus rice cultivation in 2010.

Keywords: Conventional, Satellite observation, MODIS, NDVI, RADARSAT

Location: Barisal district, Bangladesh.

Start Date: 01-05-2010

End Date: 30-09-2010

Program Area: Food Safety and Security

Commodity: Impact

Objectives:

To determine the Temporal Monitoring of Monsoon Crop Using MODIS 16 Days Composite NDVI Data for Food Security.

Methodology:

The study area covers the Barisal region of Bangladesh extending from 23.10⁰ N to 21.50⁰ N latitudes and from 89.30⁰ E to 90.35⁰ E longitudes. It is South of Bangladesh and North of Bay of Bengal. Terra-MODIS 16-day composite 250 m resolution NDVI data have been used during the period from late May to September for the year 2010. In the present study we have utilized the Normalized Difference Vegetation Index (NDVI), a commonly used band combination as follows (Tucker et al., 2001; Goward et al., 1985). NDVI = (Pnir – Pvis)/(Pnir + Pvis). Here Pnir – Pvis are spectral responses of the pixel in near infrared and visible region of the solar spectrum corresponding to band 1 and band 2, respectively of Terra/Aqua-MODIS. NDVI has a range of –1.0 to + 1.0. Area without or with low vegetation cover (such as bare soil or urban area) as well as non-photo-synthetically active vegetation NDVI value is relatively less. Software used- ERDAS 9.3 for image processing; ArcGIS 9.1for GIS analysis; MRT Swath and MODIS tool for Re-projection of MIDIS data. Bangladesh grows a wide variety of crops, which are broadly classified, according to seasons in which they are grown, into three categories, namely (a) Kharif 1 (March 16 - May 15); (b) Kharif 2 (May 16 - October 15) and (c) Rabi (October 16 to March 15) seasons. The study were considering the area such as Procedure of data generation, Generation of NDVI image of Bangladesh, Generation of layer stack, Analysis of temporal and spatial growth profiles of Aus rice, Field data collection, verification and incorporation and Generation of temporal crop growth profiles.

Source of Information: J. Environ. Sci. & Natural Resources, 8(1): 147-152, 2015; ISSN 1999-7361

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

An attempt has been made in this study to characterize the temporal and spatial growth patterns of Aus rice in Bangladesh using MODIS, 16 days composite NDVI time series data for 2010. For temporal growth profiles, eight sites have been selected during the Aus rice period May 8 to July 27 for 2010. The study reveals that out of eight sites, five sites were found almost same magnitude of growth profiles during planting, growing and flowering stage of Aus rice. Only one site (i.e., site1) found late plantation and also late full growth stage due to plantation of Aus rice after harvested of Boro rice (Fig 7a). Field verification was conducted caring with differential GPS during full growth period of Aus rice. The field observation results verified with the office of Agriculture Extension and found the percentages of Aus rice coverage are almost 99% accurate. So it is evident that in absence of MODIS raw/optical data due to cloud in monsoon period or lack of microwave /RADARSAT data it may possible to monitor Aus rice using MODIS 16-day composites NDVI data.

Knowledge Management: Journal