Agricultural Research Management Information System

Home
Research Summary
Search
About Us
- ARMIS
- Brochure
Contact Us
Report
User Request
Data Input
Help
- Operation Manual
  - PDF
  - Video
- Program Area & Commodity
We have reached 37600 number of research entries at this moment.

- Logout

Research Detail

Home
Research
Detail

Assessment of Irrigation Potentiality Over an Area Through the Combined Application of Remote Sensing (rs) and Geographic Information System (GIS)

Md. Abdus Salam*
Bangladesh Space Research and Remote Sensing Organization, Agargaon, Dhaka-1207, Bangladesh

Farhana Tazneen
Bangladesh Space Research and Remote Sensing Organization, Agargaon, Dhaka-1207, Bangladesh

Md. Shafiqul Islam
Bangladesh Space Research and Remote Sensing Organization, Agargaon, Dhaka-1207, Bangladesh

S. M. Noman Chy
Bangladesh Space Research and Remote Sensing Organization, Agargaon, Dhaka-1207, Bangladesh

Abstract/ Executive Summary:

There is a great influence of irrigated land of an area to the acreage and productions of agricultural crops and thus maintain the food security. Recent awareness about climate change and its impacts on global environmental challenges has drawn great attention to the rational and sustainable handling of irrigation resources and their networks. As one of the cutting-edge technologies, remote sensing data and geographical information systems (GIS) are very much useful for efficient management of irrigation networks and optimum utilization of irrigation schemes for sustainable agricultural development. Irrigation potentiality is the total area that can be irrigated from a project on its full utilization. This implies that an area where water is available for irrigation in each season during a complete irrigation year. In the present study, an attempt has been made to investigate the irrigation potentiality of an area using remote sensing data as the primary source and field data and as well as groundwater level data from the secondary source. Landsat 8 OLI (Operational Land Imager) data of 2016 and 2017 have been used for this purpose. The existing irrigation system has also been identified through the investigation of natural and artificial sources of irrigation water in the study area. The seasonal irrigated area was also monitored during the crop growing season. Groundwater level fluctuation was also studied using ancillary data.

Keywords: GIS; Irrigation potentiality; Mapping; Monitoring; Remote Sensing.

Location: Teesta Barrage Project Phase-2 Unit-1 of Bangladesh. (5 Upazilas of 3 Districts of the Rangpur Division in Bangladesh)

Start Date:

End Date:

Program Area: Knowledge Management

Commodity: GIS, Remote sensing

Objectives:

The specific objective of this study was to assess the irrigation potentiality over an area using Remote Sensing and Geographic Information Systems. To realize the above stated specific themes the following objectives were taken into consideration: (i) Identify the natural sources of surface water; (ii) Identify the artificial sources of surface water; (iii) Identify the existing irrigation systems; (iv) Identify the water-stressed areas; (v) Suggest the areas for irrigation; (vi) Monitoring the irrigated area for Boro rice cultivation; and (vii)Trend analysis on the use groundwater for irrigation.

Methodology:

2.1 STUDY AREA The study area is the Teesta Barrage Project Phase-2 Unit-1 of Bangladesh. The study area is located in 5 Upazilas of 3 Districts of the Rangpur Division in Bangladesh. Those are Badarganj and Taraganj Upazilas of Rangpur district, Kishoregonj and Sayedpur Upazilas of Nilphamari district and Parbatipur Upazila of Dinajpur district.

The area extends from N 25° 38" 43.52' to N 25° 50' 46.33'' and E 88° 52' 27.21" to E 89° 04' 20.08" and is and is about 335 km away from the capital city of Dhaka. In terms of Agro-Ecological Zones, the study area is located in ‘Active Teesta Floodplains’ of Teesta, Korotoa and Jameneshawari rivers. It has complex patterns of low, generally smooth ridges, inter-ridge depressions, river channels and cut-off channels. In Rangpur, the average annual temperature is 24.9 °C. The average annual rainfall is 2192 mm. The least amount of rainfall occurs in December. The average in this month is 3 mm. The greatest amount of precipitation occurs in June, with an average of 481 mm. The temperatures are highest on average in August, at around 29.0 °C. The lowest average temperatures in the year occur in January when it is around 17.3 °C. The variation in the precipitation between the driest and wettest months is 478 mm. The variation in temperatures throughout the year is 11.7 °C. (https://en.climate-data.org/asia/bangladesh/rangpur-division/rangpur-4997/).

2.2 DATA USED Cloud-free Landsat 8 Operational Land Imager (OLI) data of October 2016, November 2016, December, 2016, January, 2017, February 2017, March 2017 and April 2017 have been downloaded from United States Geological Survey (USGS) website (USGS, 2017). Extraction of different bands data has been done and then layer stacking has been conducted for making the multi bands images. Bands 2 to 7 were considered for layer stacking. Besides these, historical maps and groundwater level data of this area have also been used.

2.3 METHODOLOGY On-screen digitization has been performed to delineate the water bodies and irrigation channels and the time-sequential irrigated areas. Global Positioning System (GPS) based ground verification (Figure 2) has also been conducted at different times to delineate accurately the interested area classes in the study area. Ground photographs have also been taken during ground-truthing.

Source of Information: Journal of Engineering Science 11(2), 2020, 141-148

Article Link (Online Journal): DOI: https://doi.org/10.3329/jes.v11i2.50906

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

The natural and artificial sources of irrigation water of the study area have been investigated. Hence the existing irrigation system has also been identified. Water stressed area was calculated and the suggested area to be irrigated has been inferred. Results from this study could be used by the agricultural extension department field workers and build awareness to the farmers about the timing and fields of irrigation to avoid the over and under uses of water for irrigation. Monitoring irrigated areas for Boro rice cultivation was also investigated round the crop growing season. It has been found that the maximum water for irrigation is required in the month of February to March. From the secondary data, it was observed that the overexploitation of groundwater for Boro rice irrigation is the prime cause of groundwater depletion. It is recommended that the operational work of the adopted Teesta Barrage Irrigation Phase in our study area should be started at the earliest convenience to ease the pressure on groundwater for Boro rice irrigation.

Knowledge Management: Journal