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Assessing potential locations for flood-based farming using satellite imagery: a case study of Afar region, Ethiopia

  • Murali Krishna Gumma (a1) (a2), Tilahun Amede (a1), Mezegebu Getnet (a1), Bhavani Pinjarla (a2), Pranay Panjala (a2), Gizachew Legesse (a1), Gebeyaw Tilahun (a3), Elisabeth Van den Akker (a4), Wolf Berdel (a4), Christina Keller (a4), Moses Siambi (a1) and Anthony M. Whitbread (a5)...

Abstract

The dry lowlands of Ethiopia are seasonally affected by long periods of low rainfall and, coinciding with rainfall in the Amhara highlands, flood waters which flow onto the lowlands resulting in damage to landscapes and settlements. In an attempt to convert water from storm generated floods into productive use, this study proposes a methodology using remote sensing data and geographical information system tools to identify potential sites where flood spreading weirs may be installed and farming systems developed which produce food and fodder for poor rural communities. First, land use land cover maps for the study area were developed using Landsat-8 and MODIS temporal data. Sentinel-1 data at 10 and 20 m resolution on a 12-day basis were then used to determine flood prone areas. Slope and drainage maps were derived from Shuttle RADAR Topography Mission Digital Elevation Model at 90 m spatial resolution. Accuracy assessment using ground survey data showed that overall accuracies (correctness) of the land use/land cover classes were 86% with kappa 0.82. Coinciding with rainfall in the uplands, March and April are the months with flood events in the short growing season (belg) and June, July and August have flood events during the major (meher) season. In the Afar region, there is potentially >0.55 m ha land available for development using seasonal flood waters from belg or meher seasons. During the 4 years of monitoring (2015–2018), a minimum of 142,000 and 172,000 ha of land were flooded in the belg and meher seasons, respectively. The dominant flooded areas were found in slope classes of <2% with spatial coverage varying across the districts. We concluded that Afar has a huge potential for flood-based technology implementation and recommend further investigation into the investments needed to support new socio-economic opportunities and implications for the local agro-pastoral communities.

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Copyright

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Corresponding author

Author for correspondence: Murali Krishna Gumma, E-mail: m.gumma@cgiar.org, gummamk@gmail.com

References

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Alsdorf, DE, Rodríguez, E and Lettenmaier, DP (2007) Measuring surface water from space. Reviews of Geophysics 45, 124.
Amede, T, Stroud, A and Aune, J (2004) Advancing human nutrition without degrading land resources through modeling cropping systems in the Ethiopian Highlands. Food and Nutrition Bulletin 25, 344353.
Amede, T, Descheemaeker, K, Peden, D and van Rooyen, A (2009) Harnessing benefits from improved livestock water productivity in crop–livestock systems of sub-Saharan Africa: synthesis. The Rangeland Journal 31, 169178.
Biggs, TW, Thenkabail, PS, Gumma, MK, Scott, CA, Parthasaradhi, GR and Turral, HN (2006) Irrigated area mapping in heterogeneous landscapes with MODIS time series, ground truth and census data, Krishna Basin, India. International Journal of Remote Sensing 27, 42454266.
Cihlar, J, Xiao, Q, Chen, J, Beaubien, J, Fung, K, Latifovic, R (1998) Classification by progressive generalization: A new automated methodology for remote sensing multichannel data. International Journal of Remote Sensing 19, 26852704.
Dong, J, Xiao, X, Kou, W, Qin, Y, Zhang, G, Li, L, Jin, C, Zhou, Y, Wang, J, Biradar, C, Liu, J and Moore, B (2015) Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms. Remote Sensing of Environment 160, 99113.
Elisabeth, V, Wolf, B and Jemal, NM (2015) Reversing natural degradation into resilience: the afar case. In Tielke, E (ed.), Management of Land use Systems for Enhanced Food Security: Conflicts, Controversies and Resolutions. Berlin and Müncheberg: Cuvillier Verlag, p. 1. Available at www.tropentag.de/2015/proceedings/proceedings.pdf (Accessed 15 March 2019).
Feyisa, GL, Meilby, H, Fensholt, R and Proud, SR (2014) Automated Water Extraction Index: a new technique for surface water mapping using Landsat imagery. Remote Sensing of Environment 140, 2335.
Flick, RE, Chadwick, DB, Briscoe, J and Harper, KC (2012) Flooding” versus “inundation. Eos, Transactions American Geophysical Union 93, 365366.
Giustarini, L, Hostache, R, Matgen, P, Schumann, GJ-P, Bates, PD and Mason, DC (2013) A change detection approach to flood mapping in urban areas using TerraSAR-X. IEEE transactions on Geoscience and Remote Sensing 51, 24172430.
Gumma, M, Thenkabail, PS, Fujii, H and Namara, R (2009) 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. Journal of Applied Remote Sensing 3, 033537. P (1-21).
Gumma, MK, Thenkabail, PS, Muralikrishna, IV, Velpuri, MN, Gangadhararao, PT, Dheeravath, V, Biradar, CM, Acharya Nalan, S and Gaur, A (2011) Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India). International Journal of Remote Sensing 32, 34953520.
Gumma, MK, Thenkabail, PS, Maunahan, A, Islam, S and Nelson, A (2014) 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 Journal of Photogrammetry and Remote Sensing 91, 98113.
Gumma, MK, Uppala, D, Mohammed, IA, Whitbread, AM and Mohammed, IR (2015) Mapping direct seeded rice in Raichur District of Karnataka, India. Photogrammetric Engineering & Remote Sensing 81, 873880.
Gumma, M, Birhanu, B, Mohammed, I, Tabo, R and Whitbread, A (2016) Prioritization of watersheds across Mali using remote sensing data and GIS techniques for agricultural development planning. Water 8, 260.
Gumma, MK, Mohammad, I, Nedumaran, S, Whitbread, A and Lagerkvist, C (2017) Urban sprawl and adverse impacts on agricultural land: a Case Study on Hyderabad, India. Remote Sensing 9, 1136.
Gumma, MK, Thenkabail, PS, Deevi, KC, Mohammed, IA, Teluguntla, P, Oliphant, A, Xiong, J, Aye, T and Whitbread, AM (2018a) Mapping cropland fallow areas in Myanmar to scale up sustainable intensification of pulse crops in the farming system. GIScience & Remote Sensing 55, 926949.
Gumma, MK, Thenkabail, PS, Teluguntla, P and Whitbread, AM (2018b) Monitoring of spatiotemporal dynamics of rabi rice fallows in south Asia using remote sensing. In Reddy, G and Singh, S (eds), Geospatial Technologies in Land Resources Mapping, Monitoring and Management. Vol. 21, Cham: Springer, pp. 425449.
Gumma, MK, Nelson, A and Yamano, T (2019) Mapping drought-induced changes in rice area in India. International Journal of Remote Sensing 40, 81468173.
Gummadi, S, Rao, KPC, Seid, J, Legesse, G, Kadiyala, MDM, Takele, R, Amede, T and Whitbread, A (2017) Spatio-temporal variability and trends of precipitation and extreme rainfall events in Ethiopia in 1980–2010. Theoretical and Applied Climatology 134, 13151328.
Haile, G and Fetene, M (2012) Assessment of soil erosion hazard in Kilie catchment, East Shoa, Ethiopia. Land Degradation & Development 23, 293306.
Hailu, R, Tolossa, D and Alemu, G (2018) Water institutions in the Awash basin of Ethiopia: the discrepancies between rhetoric and realities. International journal of river basin management 16, 107121.
Ham, J-PVD (2008) Dodota Spate Irrigation System Ethiopia: A case study of Spate Irrigation Management and Livelihood options. Irrigation and Water Engineering. Wageningen University and Research, Wageningen University and Research.
Hurni, H (1988) Degradation and conservation of the resources in the Ethiopian highlands. Mountain Research and Development 8, 123130.
ICRISAT (2017) The lone green patch on a denuded stretchc-cCase of the Afar region in Ethiopia. ICRISAT Happening No. 1742.
Iqbal, M and Sajjad, H (2014) Prioritization based on morphometric analysis if Dudhganga catchment, Kashmir valley, Inida, using remote sensing and geographical information system. African Journal of Geo-Sciences Research 2, 0106.
Jensen, JR (1996) Introductory Digital Image Processing: A Remote Sensing Perspective. Upper Saddle River, New Jersey: Prentice Hall.
Jung, HC, Hamski, J, Durand, M, Alsdorf, D, Hossain, F, Lee, H, Hossain, AA, Hasan, K, Khan, AS and Hoque, AZ (2010) Characterization of complex fluvial systems using remote sensing of spatial and temporal water level variations in the Amazon, Congo, and Brahmaputra Rivers. Earth Surface Processes and Landforms: The Journal of the British Geomorphological Research Group 35, 294304.
Khan, M, Gupta, V and Moharana, P (2001) Watershed prioritization using remote sensing and geographical information system: a case study from Guhiya, India. Journal of Arid Environments 49, 465475.
McCann, JC (1997) The plow and the forest: narratives of deforestation in Ethiopia, 1840–1992. Environmental History 2, 138159.
Miheretu, BA and Yimer, AA (2018) Estimating soil loss for sustainable land management planning at the Gelana sub-watershed, northern highlands of Ethiopia. International Journal of River Basin Management 16, 4150.
Moore, ID, Grayson, R and Ladson, A (1991) Digital terrain modelling: a review of hydrological, geomorphological, and biological applications. Hydrological Processes 5, 330.
Paloscia, S, Pettinato, S, Santi, E, Notarnicola, C, Pasolli, L and Reppucci, A (2013) Soil moisture mapping using sentinel-1 images: algorithm and preliminary validation. Remote Sensing of Environment 134, 234248.
Panwar, A and Singh, D (2014) Watershed development prioritization by applying WERM model and GIS techniques in takoli watershed of district Tehri (Uttarakhand). International Journal of Engineering Research and Technology 3, 15971601.
Pierdicca, N, Pulvirenti, L and Pace, G (2014) A prototype software package to retrieve soil moisture from sentinel-1 data by using a Bayesian multitemporal algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7, 153166.
Qiu, B, Zeng, C, Tang, Z and Chen, C (2013) Characterizing spatiotemporal non-stationarity in vegetation dynamics in China using MODIS EVI dataset. Environmental Monitoring and Assessment 185, 90199035.
Qiu, B, Li, W, Tang, Z, Chen, C and Qi, W (2015) Mapping paddy rice areas based on vegetation phenology and surface moisture conditions. Ecological Indicators 56, 7986.
Rao, NS, Chakradhar, GKJ and Srinivas, V (2001) Identification of groundwater potential zones using remote sensing techniques in and around Guntur Town, Andhra Pradesh, India. Journal of the Indian Society of Remote Sensing 29, 69.
Schlaffer, S, Matgen, P, Hollaus, M and Wagner, W (2015) Flood detection from multi-temporal SAR data using harmonic analysis and change detection. International Journal of Applied Earth Observation and Geoinformation 38, 1524.
Seid, N, Reda, GK, Mohammed, S, Bedru, S, Ebrahim, K, Teshale, T and Demelash, N (2016) Socio-economic, Agro-ecological and Technical Potential of the Proposed Ascoma Spate Irrigation Project: Ada'ar Woreda, Afar National Regional State, Ethiopia. USAID, Feed the Future.
Sharma, R, Agrawal, M and Marshall, F (2006) Heavy metal contamination in vegetables grown in wastewater irrigated areas of Varanasi, India. Bulletin of environmental contamination and toxicology 77, 312318.
Steenbergen, FV, Haile, AM, Alemehayu, T, Alamirew, T and Geleta, Y (2011) Status and potential of spate irrigation in Ethiopia. Water Resour Management 25, 18991913.
Taddese, G, Sonder, K and Peden, D (2003) The Water of the Awash River Basin A Future Challenge to Ethiopia. Addis Ababa: International Livestock Research Institute.
Tamene, L and Vlek, PL (2008) Soil erosion studies in northern Ethiopia. In Braimoh, AK and Vlek, PLG (eds), Land use and Soil Resources. Dordrecht: Springer, pp. 73100.
Tesfai, M and Stroosnijder, L (2001) The Eritrean spate irrigation system. Agricultural Water Management 48, 5160.
Tesfai, M and Sterk, G (2002) Sedimentation rate on spate irrigated fields in Sheeb area, eastern Eritrea. Journal of Arid Environments 50, 191203.
Twele, A, Cao, W, Plank, S and Martinis, S (2016) Sentinel-1-based flood mapping: a fully automated processing chain. International Journal of Remote Sensing 37, 29903004.
Van Steenbergen, F, Haile, AM, Alemehayu, T, Alamirew, T and Geleta, Y (2011) Status and potential of spate irrigation in Ethiopia. Water Resources Management 25, 18991913.
Vittala, SS, Govindaiah, S and Gowda, HH (2008) Prioritization of sub-watersheds for sustainable development and management of natural resources: an integrated approach using remote sensing, GIS and socio-economic data. Current Science 95, 345354.

Keywords

Assessing potential locations for flood-based farming using satellite imagery: a case study of Afar region, Ethiopia

  • Murali Krishna Gumma (a1) (a2), Tilahun Amede (a1), Mezegebu Getnet (a1), Bhavani Pinjarla (a2), Pranay Panjala (a2), Gizachew Legesse (a1), Gebeyaw Tilahun (a3), Elisabeth Van den Akker (a4), Wolf Berdel (a4), Christina Keller (a4), Moses Siambi (a1) and Anthony M. Whitbread (a5)...

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