Research Papers

Spatial models for selecting the most suitable areas of rice cultivation in the Inland Valley Wetlands of Ghana using remote sensing and geographic information systems

[+] Author Affiliations
Muralikrishna Gumma

Remote Sensing and Geographic Information Systems, International Water Management Institute, ICRISAT Campus, Patancheru, Hyderabad 502324 India

Prasad S. Thenkabail

Southwest Geographic Science Center, U.S. Geological Survey, Flagstaff, Arizona 86001

Hideto Fujii, Regassa Namara

International Water Management Institute, Ghana Office, Accra CT 112 Ghana

J. Appl. Remote Sens. 3(1), 033537 (June 29, 2009). doi:10.1117/1.3182847
History: Received March 1, 2009; Revised June 1, 2009; Accepted June 25, 2009; June 29, 2009; Online June 29, 2009
Text Size: A A A

Open Access Open Access

Abstract

The overarching goal of this research was to develop spatial models and demonstrate their use in selecting the most suitable areas for the inland valley (IV) wetland rice cultivation. The process involved comprehensive sets of methods and protocols involving: (1) Identification and development of necessary spatial data layers; (2) Providing weightages to these spatial data layers based on expert knowledge, (3) Development of spatial models, and (4) Running spatial models for determining most suitable areas for rice cultivation. The study was conducted in Ghana. The model results, based on weightages to 16-22 spatial data layers, showed only 3-4 % of the total IV wetland areas were "highly suitable" but 39-47 % of the total IV wetland areas were "suitable" for rice cultivation. The outputs were verified using field-plot data which showed accuracy between 84.4 to 87.5% with errors of omissions and commissions less than 23%. Given that only a small fraction (<15% overall) of the total IV wetland areas (about 20-28% of total geographic area in Ghana) are currently utilized for agriculture and constitute very rich land-units in terms of soil depth, soil fertility, and water availability, these agroecosystems offer an excellent opportunity for a green and a blue revolution in Africa.

References

FAO, Irrigation in Africa in figures, AQUASTAT Survey-2005, FAO water reports 29 (2005).
WARDA, Agriculture in Africa, West African Rice Development Authority (WARDA) annual report, Cononou, Republic of Benin (1986).
WARDA, Agriculture in Africa, West African Rice Development Authority (WARDA) annual report, Cononou, Republic of Benin (1998).
P. S. Thenkabail, C. Nolte, and J. G. Lyon, "Remote sensing and GIS modeling for selection of benchmark research area in the inland valley agroecosystems of West and Central Africa," Photogram. Eng. Rem. Sens. 66(6), 755-768 (2000).
P. S. Thenkabail and C. Nolte, "Regional characterisation of inland valley agroecosystems in West and central Africa using high-resolution remotely sensed data," in GIS Applications for Water Resources and Watershed Management, J. G.. Lyon, Ed., pp. 77-99, Taylor and Francis, London and New York (2000).
P. S. Thenkabail and C. Nolte, Mapping and Characterising Inland Valley Agroeco-systems of West and Central Africa: A Methodology Integrating Remote Sensing, Global Positioning System, and Ground-Truth Data in a Geographic Information Systems Frame-work, RCMD Monograph No.16, 62 pp, International Institute of Tropical Agriculture, Ibadan, Nigeria (1995a).
P. S. Thenkabail and C. Nolte, Regional characterisation of inland valley agroeco-systems in Save, Bante, Bassila, and Parakou regions in south-central Republic of Benin through integration of remote sensing, global positioning system, and ground-truth data in a geographic information systems framework, Inland Valley Characterisation Report No.1, 60 pp, Resource and Crop Management Division, International Institute of Tropical Agriculture, Ibadan, Nigeria (1995b).
P. S. Thenkabail and C. Nolte, Regional characterisation of inland valley agroecosystems in Gagnoa, Cote d'Ivoire through integration of remote sensing, global positioning systems, and ground-truth data in a geographic information systems framework, Inland Valley Characterisation Report No.2, 52pp, Resource and Crop Management Division, International Institute of Tropical Agriculture, Ibadan, Nigeria (1995c).
P. S. Thenkabail and C. Nolte, Regional Characterisation of Inland Valley Agroecosystems in Sikasso, Mali and Bobo-Dioulasso, Burkina Faso through integration of Remote Sensing, Global Positioning Systems and Ground-Truth Data in a Geographic Information Systems Framework. Inland Valley Characterisation Report No.3, 46 pp, Resource and Crop Management Division, International Institute of Tropical Agriculture, Ibadan, Nigeria (1995d).
P. S. Thenkabail and C. Nolte, Zooming in on backyard resources. Satellite imagery pinpoints the potential of inland valleys, Annual report of International Institute of Tropical Agriculture 1994, Ibadan, Nigeria (1995e).
P. S. Thenkabail and C. Nolte, "Capabilities of Landsat-5 Thematic Mapper (TM) data in regional mapping and characterization of inland valley agroecosystems in West Africa," Int. J. Rem. Sens. 17(8), 1505-1538 (1996)
F. Hideto, D. Busia, K. Wasantha, S. P. Thenkabail, and N. Regassa, "Features of river flow in Inland valleys in semi-deciduous forest zone in Ghana," (2009 in process).
B. L. Markham and J. L. Barker, "Radiometric properties of U.S. processed Landsat MSS data," Rem. Sens. Environ. 22, 39-71 (1987)
P. S. Thenkabail, E. A. Enclona, M. S. Ashton, C. Legg, and M. J. De Dieu, "Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests," Rem. Sens. Environ. 90, 23-43 (2004)
P. S.Thenkabail, J. Hall, T. Lin, M. S. Ashton, D. Harris, and E. A. Enclona, "Detecting floristic structure and pattern across topographic and moisture gradients in a mixed species Central African forest using IKONOS and Landsat-7 ETM+ images," Int. J. Appl. Earth Observat. Geoinform. 4, 255-270 (2003)
B. L. Markham and J.L. Barker, Eds., "Special issue on Landsat image data quality assessment," Photogram. Eng. Rem. Sens. 51, 1245-1493 (1985).
H. Neckel and D. Labs, "The solar radiation between 3300 and 12500 A," Solar Phys. 90, 205-258 (1984)
P. S. Chavez, Jr., "Image-based atmospheric corrections--revisited and improved," Photogram. Eng. Rem. Sens. 62(9), 1025-1036 (1996).
P. S. Chavez, Jr., "An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data," Rem. Sens. Environ. 24, 459-479 (1998)
P. S. Thenkabail, C. M. Biradar, P. Noojipady, V. Dheeravath, Y. J. Li, M. Velpuri, M.Gumma, G.. P. O. Reddy, H. Turral, X. L. Cai, J. Vithanage, M. Schull, and R. Dutta, "Global Irrigated Area Map (GIAM) for the End of the Last Millennium Derived from Remote Sensing," Int. J. Rem. Sens. (2009 in press).
C. M. Biradar, P. S. Thenkabail, P. Noojipady, L. Yuanjie, V. Dheeravath, M. Velpuri, H. Turral, M. K. Gumma, O. G. P. Reddy, X. L. Cai, X. Xiao, M. A. Schull, R. D. Alankara, S. Gunasinghe, and S. Mohideen, "A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing," Int. J. Appl. Earth Observat. Geoinform. 11, 114-129 (2009)
M. A. Islam, P. S. Thenkabail, R. W. Kulawardhana, R. Alankara, S. Gunasinghe, C. Edussriya, and A. Gunawardana, 'Semi-automated methods for mapping wetlands using Landsat ETM+ and SRTM data," Int. J. Rem. Sens. 29(24),7077-7106 (2008)
R. W. Kulawardhana, P. S. Thenkabail, J. Vithanage, C. Biradar, M. A. Islam, S. Gunasinghe, and R. Alankara, "Evaluation of the wetland mapping methods using Landsat ETM+ and SRTM data," J. Spatial Hydrol. 7(2), 62-966 (2007).
P. S. Thenkabail, C. M. Biradar, H. Turral, P. Noojipady, Y. J. Li, J. Vithanage, V. Dheeravath, M. Velpuri, M. Schull, X. L. Cai, and R. Dutta, "An irrigated area map of the world (1999) derived from remote sensing," Research Report # 105, International Water Management Institute, 74 pp., Colombo, Sri Lanka (2006).
Leica, Earth Resources Data Analysis System (ERDAS Imagine8.x), Leica Geosystems A.G. Heinrich-Wild-Strasse, CH-9435 Heerbrugg, Switzerland (2007).
Y. Gorokhovic and A. Voustianiouk, "Accuracy assessment of the processed SRTM-based elevation data by CGIAR using field data from USA and Thailand and its relation to the terrain characteristics," Rem. Sens. Environ. 104(4), 409-415 (2006)
© 2009 Society of Photo-Optical Instrumentation Engineers

Citation

Muralikrishna Gumma ; Prasad S. Thenkabail ; Hideto Fujii and Regassa Namara
"Spatial models for selecting the most suitable areas of rice cultivation in the Inland Valley Wetlands of Ghana using remote sensing and geographic information systems", J. Appl. Remote Sens. 3(1), 033537 (June 29, 2009). ; http://dx.doi.org/10.1117/1.3182847


Figures

Tables

References

FAO, Irrigation in Africa in figures, AQUASTAT Survey-2005, FAO water reports 29 (2005).
WARDA, Agriculture in Africa, West African Rice Development Authority (WARDA) annual report, Cononou, Republic of Benin (1986).
WARDA, Agriculture in Africa, West African Rice Development Authority (WARDA) annual report, Cononou, Republic of Benin (1998).
P. S. Thenkabail, C. Nolte, and J. G. Lyon, "Remote sensing and GIS modeling for selection of benchmark research area in the inland valley agroecosystems of West and Central Africa," Photogram. Eng. Rem. Sens. 66(6), 755-768 (2000).
P. S. Thenkabail and C. Nolte, "Regional characterisation of inland valley agroecosystems in West and central Africa using high-resolution remotely sensed data," in GIS Applications for Water Resources and Watershed Management, J. G.. Lyon, Ed., pp. 77-99, Taylor and Francis, London and New York (2000).
P. S. Thenkabail and C. Nolte, Mapping and Characterising Inland Valley Agroeco-systems of West and Central Africa: A Methodology Integrating Remote Sensing, Global Positioning System, and Ground-Truth Data in a Geographic Information Systems Frame-work, RCMD Monograph No.16, 62 pp, International Institute of Tropical Agriculture, Ibadan, Nigeria (1995a).
P. S. Thenkabail and C. Nolte, Regional characterisation of inland valley agroeco-systems in Save, Bante, Bassila, and Parakou regions in south-central Republic of Benin through integration of remote sensing, global positioning system, and ground-truth data in a geographic information systems framework, Inland Valley Characterisation Report No.1, 60 pp, Resource and Crop Management Division, International Institute of Tropical Agriculture, Ibadan, Nigeria (1995b).
P. S. Thenkabail and C. Nolte, Regional characterisation of inland valley agroecosystems in Gagnoa, Cote d'Ivoire through integration of remote sensing, global positioning systems, and ground-truth data in a geographic information systems framework, Inland Valley Characterisation Report No.2, 52pp, Resource and Crop Management Division, International Institute of Tropical Agriculture, Ibadan, Nigeria (1995c).
P. S. Thenkabail and C. Nolte, Regional Characterisation of Inland Valley Agroecosystems in Sikasso, Mali and Bobo-Dioulasso, Burkina Faso through integration of Remote Sensing, Global Positioning Systems and Ground-Truth Data in a Geographic Information Systems Framework. Inland Valley Characterisation Report No.3, 46 pp, Resource and Crop Management Division, International Institute of Tropical Agriculture, Ibadan, Nigeria (1995d).
P. S. Thenkabail and C. Nolte, Zooming in on backyard resources. Satellite imagery pinpoints the potential of inland valleys, Annual report of International Institute of Tropical Agriculture 1994, Ibadan, Nigeria (1995e).
P. S. Thenkabail and C. Nolte, "Capabilities of Landsat-5 Thematic Mapper (TM) data in regional mapping and characterization of inland valley agroecosystems in West Africa," Int. J. Rem. Sens. 17(8), 1505-1538 (1996)
F. Hideto, D. Busia, K. Wasantha, S. P. Thenkabail, and N. Regassa, "Features of river flow in Inland valleys in semi-deciduous forest zone in Ghana," (2009 in process).
B. L. Markham and J. L. Barker, "Radiometric properties of U.S. processed Landsat MSS data," Rem. Sens. Environ. 22, 39-71 (1987)
P. S. Thenkabail, E. A. Enclona, M. S. Ashton, C. Legg, and M. J. De Dieu, "Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests," Rem. Sens. Environ. 90, 23-43 (2004)
P. S.Thenkabail, J. Hall, T. Lin, M. S. Ashton, D. Harris, and E. A. Enclona, "Detecting floristic structure and pattern across topographic and moisture gradients in a mixed species Central African forest using IKONOS and Landsat-7 ETM+ images," Int. J. Appl. Earth Observat. Geoinform. 4, 255-270 (2003)
B. L. Markham and J.L. Barker, Eds., "Special issue on Landsat image data quality assessment," Photogram. Eng. Rem. Sens. 51, 1245-1493 (1985).
H. Neckel and D. Labs, "The solar radiation between 3300 and 12500 A," Solar Phys. 90, 205-258 (1984)
P. S. Chavez, Jr., "Image-based atmospheric corrections--revisited and improved," Photogram. Eng. Rem. Sens. 62(9), 1025-1036 (1996).
P. S. Chavez, Jr., "An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data," Rem. Sens. Environ. 24, 459-479 (1998)
P. S. Thenkabail, C. M. Biradar, P. Noojipady, V. Dheeravath, Y. J. Li, M. Velpuri, M.Gumma, G.. P. O. Reddy, H. Turral, X. L. Cai, J. Vithanage, M. Schull, and R. Dutta, "Global Irrigated Area Map (GIAM) for the End of the Last Millennium Derived from Remote Sensing," Int. J. Rem. Sens. (2009 in press).
C. M. Biradar, P. S. Thenkabail, P. Noojipady, L. Yuanjie, V. Dheeravath, M. Velpuri, H. Turral, M. K. Gumma, O. G. P. Reddy, X. L. Cai, X. Xiao, M. A. Schull, R. D. Alankara, S. Gunasinghe, and S. Mohideen, "A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing," Int. J. Appl. Earth Observat. Geoinform. 11, 114-129 (2009)
M. A. Islam, P. S. Thenkabail, R. W. Kulawardhana, R. Alankara, S. Gunasinghe, C. Edussriya, and A. Gunawardana, 'Semi-automated methods for mapping wetlands using Landsat ETM+ and SRTM data," Int. J. Rem. Sens. 29(24),7077-7106 (2008)
R. W. Kulawardhana, P. S. Thenkabail, J. Vithanage, C. Biradar, M. A. Islam, S. Gunasinghe, and R. Alankara, "Evaluation of the wetland mapping methods using Landsat ETM+ and SRTM data," J. Spatial Hydrol. 7(2), 62-966 (2007).
P. S. Thenkabail, C. M. Biradar, H. Turral, P. Noojipady, Y. J. Li, J. Vithanage, V. Dheeravath, M. Velpuri, M. Schull, X. L. Cai, and R. Dutta, "An irrigated area map of the world (1999) derived from remote sensing," Research Report # 105, International Water Management Institute, 74 pp., Colombo, Sri Lanka (2006).
Leica, Earth Resources Data Analysis System (ERDAS Imagine8.x), Leica Geosystems A.G. Heinrich-Wild-Strasse, CH-9435 Heerbrugg, Switzerland (2007).
Y. Gorokhovic and A. Voustianiouk, "Accuracy assessment of the processed SRTM-based elevation data by CGIAR using field data from USA and Thailand and its relation to the terrain characteristics," Rem. Sens. Environ. 104(4), 409-415 (2006)

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