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Papers pertaining to sustainable Intensification
- Ali, A.M.S., 2007. Population pressure, agricultural intensification and changes in rural systems in Bangladesh. Geoforum 38, 720-738. Accessible online: Click here
- Bourgeois, R., 2013. Constructive destruction- What has to be changed? An essay on food security and sustainable intensification, Agriculture Days of the Future. The Global Forum on Agricultural Research, Ossiach, Austria, p. 13. Accessible online: Click here
- Cassman, K.G., Dobermann, A., Walters, D.T., Yang, H., 2003. Meeting Cereal Demand While Protecting Natural Resources and Improving Environmental Quality. Annual Review of Environment and Resources 28, 315-358. Accessible online: Click here
- Franks, J.R., 2014. Sustainable intensification: A UK perspective. Food Policy 47, 71-80. Accessible online: Click here
- Garnett, S.T., Appleby, M.C., Balmford, A., Bateman, I.J., Bloomer, P., Burlingame, B., Dawkins, M., Dolan, L., Fraser, D., Herreto, M., Hoffman, I., Smith, P., Thornton, P.K., Toulmin, C., Vermeulen, S.J., Godfray, H.C.J., 2013. Sustainable Intensification in Agriculture: Premises and Policies. Science 341, 33-34. Accessible online: Click here
- Garnett, T., Godfray, H.C.J., 2012. Sustainable intensification in agriculture: Navigating a course through competing food system priorities. FRNC; Oxford University, Oxford, UK, p. 51. Accessible online: Click here
- Krupnik, T.J., Ahmed, Z.U., Timsina, J., Shahjahan, M., Kurishi, A.S.M.A., Miah, A.A., Rahman, B.M.S., Gathala, M.K., McDonald, A.J., 2015a. Forgoing the Fallow in Bangladesh’s Stress-Prone Coastal Deltaic Environments: Effect of Sowing Date, Nitrogen, and Genotype on Wheat Yield in Farmers’ Fields. Field Crop. Res. 170, 7–20. Accessible online: Click here
- Krupnik, T.J., Santos Valle, S., Islam, M.S., Hossain, M.A., Gathala, M.K., Qureshi, A.S., 2015b. Energetic, hydraulic, and economic efficiency of axial flow and centrifugal pumps for surface water irrigation in Bangladesh.Irrigation and Drainage DOI: 10.1002/ird.1940. Accessible online: Click here
- Pretty, J., 2008. Agricultural sustainability: concepts, principles and evidence. Philosophical transactions of the Royal Society of London. Series B, Biological sciences 363, 447-465. Accessible online: Click here
- Pretty, J., Bharucha, Z.P., 2014. Sustainable intensification in agricultural systems. Annals of botany, 1-26. Accessible online: Click here
- Pretty, J., Sutherland, W.J., Ashby, J., Auburn, J., Baulcombe, D., Bell, M., Bentley, J., Bickersteth, S., Brown, K., Burke, J., Campbell, H., Chen, K., Crowley, E., Crute, I., Dobbelaere, D., Edwards-Jones, G., Funes-Monzote, F., Godfray, H.C.J., Griffon, M., Gypmantisiri, P., Haddad, L., Halavatau, S., Herren, H., Holderness, M., Izac, A.-M., Jones, M., Koohafkan, P., Lal, R., Lang, T., McNeely, J., Mueller, A., Nisbett, N., Noble, A., Pingali, P., Pinto, Y., Rabbinge, R., Ravindranath, N.H., Rola, A., Roling, N., Sage, C., Settle, W., Sha, J.M., Shiming, L., Simons, T., Smith, P., Strzepeck, K., Swaine, H., Terry, E., Tomich, T.P., Toulmin, C., Trigo, E., Twomlow, S., Vis, J.K., Wilson, J., Pilgrim, S., 2010. The top 100 questions of importance to the future of global agriculture. International Journal of Agricultural Sustainability 8, 219-236. Accessible online: Click here
- Pretty, J., Toulmin, C., Williams, S., 2011. Sustainable intensification in African agriculture. International Journal of Agricultural Sustainability 9, 5-24. Accessible online: Click here
- Rawson, H.M.E., 2011. Sustainable intensification of Rabi cropping in southern Bangladesh using wheat and mungbean, in: H.M., R. (Ed.), ACIAR Technical Reports No. 78. Australian Centre for International Agricultural Research:, Canberra., p. 256 pp. Accessible online: Click here
- Ray, D.K., Mueller, N.D., West, P.C., Foley, J.A., 2013. Yield Trends Are Insufficient to Double Global Crop Production by 2050. PloS one 8, e66428. Accessible online: Click here
- Reynolds, T.W., Waddington, S.R., Anderson, C.L., Chew, A., True, Z., Cullen, A., 2015. Environmental impacts and constraints associated with the production of major food crops in Sub-Saharan Africa and South Asia. Food Security 7, 795-822. Accessible online: Click here
- Reytar, K., Hanson, C., Henninger, N., 2014. Indicators of Sustainable Agriculture: A Scoping Analysis. World Resources Institute, Washington DC, p. 20. Accessible online: Click here
- Robertson, G.P., Gross, K.L., Hamilton, S.K., Landis, D.A., Schmidt, T.M., Snapp, S.S., Swinton, S.M., 2014. Farming for ecosystem services: an ecological approach to production agriculture. BioScience. Accessible online: Click here
- Robinson, L.W., Ericksen, P.J., Chesterman, S., Worden, J.S., 2015. Sustainable intensification in drylands: What resilience and vulnerability can tell us. Agric. Syst. 135, 133-140. Accessible online: Click here
- Settle, W., Garba, M.H., 2011. Sustainable crop production intensification in the Senegal and Niger River basins of francophone West Africa. International Journal of Agricultural Sustainability 9, 171-185. Accessible online: Click here
- The Royal Society, 2009. Reaping the Benefits: Science and the Sustainable Intensification of Global Agriculture. The Royal Society, London, p. 86. Accessible online: Click here
- Tilman, D., Balzer, C., Hill, J., Befort, B.L., 2011. Global food demand and the sustainable intensification of agriculture. Proceedings of the National Academy of Sciences of the United States of America 108, 20260-20264. Accessible online: Click here
- Tittonell, P., 2014. Ecological intensification of agriculture — sustainable by nature. Current Opinion in Environmental Sustainability 8, 53–61. Accessible online: Click here
- Tittonell, P., Klerkx, L., Baudron, F., Félix, G.F., Ruggia, A., van Apeldoorn, D., Dogliotti, S., Mapfumo, P., Rossing, W.A.H., 2016. Ecological Intensification: Local Innovation to Address Global Challenges. Sustainable Agriculture Reviews 19, 1-34. Accessible online: Click here
- Tomich, T.P., Brodt, S., Ferris, H., Galt, R., Horwath, W.R., Kebreab, E., Leveau, J.H.J., Liptzin, D., Lubell, M., Merel, P., Michelmore, R., Rosenstock, T., Scow, K., Six, J., Williams, N., Yang, L., 2011. Agroecology: A Review from a Global-Change Perspective. Annual Review of Environment and Resources 36, 193-222. Accessible online: Click here
- Vanlauwe, B., Coyne, D., Gockowski, J., Hauser, S., Huising, J., Masso, C., Nziguheba, G., Schut, M., Van Asten, P., 2014. Sustainable intensification and the African smallholder farmer. Current Opinion in Environmental Sustainability 8, 15-22. Accessible online: Click here
- Zimmerer, K.S., Carney, J.A., Vanek, S.J., 2015. Sustainable smallholder intensification in global change? Pivotal spatial interactions, gendered livelihoods, and agrobiodiversity. Current Opinion in Environmental Sustainability 14, 49-60. Accessible online: Click here
- Zurek, M., Keenlyside, P., Brandt, K., 2015. Intensifying agricultural production sustainably- A framework for analysis and decision support. Climate Focus, Washington DC, p. 63. Accessible online: Click here
Papers pertaining to irrigation in South Asia
- Ahmad, M., Kirby, M., Islam, M.S., Hossain, M.J., Islam, M.M., 2014. Groundwater Use for Irrigation and its Productivity: Status and Opportunities for Crop Intensification for Food Security in Bangladesh. Water Resources Management 28, 1415-1429. Accessible online: Click here
- Alauddin, M., Quiggin, J., 2008. Agricultural intensification, irrigation and the environment in South Asia: Issues and policy options. Ecological Economics 65, 111-124. Accessible online: Click here
- Ali, M.H., 2010. Fundamentals of Irrigation and On-farm Water Management. Springer, New York. Accessible online: Click here
- Balwinder, S., Humphreys, E., Eberbach, P.L., Katupitiya, A., Yadvinder, S., Kukal, S.S., 2011. Growth, yield and water productivity of zero till wheat as affected by rice straw mulch and irrigation schedule. Field Crop. Res. 121, 209-225. Accessible online: Click here
- Bell, A.R., Bryam, E., Ringler, C., Ahmed, A.U., 2015. Rice productivity in Bangladesh: What are the benefits of irrigation? Land Use Policy 48, 1–12. Accessible online: Click here
- Bhuiyan, S.I., Sattar, M.A., Khan, M.A.K., 1995. Improving water use efficiency in rice irrigation through wet-seeding. Irrig. Sci. 16, 1-8. Accessible online: Click here
- Brouwer, C., Heibloem, M., 1986. Irrigation Water Management: Irrigation Water Needs. Food and Agriculture Organization, Rome. Accessible online: Click here
- Dey, N.C., Bala, S.K., Islam, A.S., Rashid, M.A., 2013. Sustainability of Groundwater Use for Irrigation in Northwest Bangladesh. National Food Policy Capacity Strengthening Programme, Dhaka. Accessible online: Click here
- Domènech, L., 2015. Improving irrigation access to combat food insecurity and undernutrition: A review. Global Food Security 6, 24-33. Accessible online: Click here
- Ghani, M.A., Bhuiyan, S.I., Hill, R.W., 1991. A model to evaluate intensive vs. extensive irrigation practices for irrigated rice production system in Bangladesh. Agric. Water Manage. 20, 233-244. Accessible online: Click here
- Gowing, J.W., Rose, D.A., Ghamarnia, H., 2009. The effect of salinity on water productivity of wheat under deficit irrigation above shallow groundwater. Agric. Water Manage. 96, 517-524. Accessible online: Click here
- Hall, A., Clark, N., Naik, G., 2007. Technology supply chain or innovation capacity?- Contrasting experiences of promoting small scale irrigation technology in South Asia. United Nations University - Maastricht Economic and social Research and training centre on Innovation and Technology Keizer Karelplein 19, 6211 TC Maastricht, Netherlands, p. 30. Accessible online: Click here
- Hassan-Esfahani, L., Torres-Rua, A., McKee, M., 2015. Assessment of optimal irrigation water allocation for pressurized irrigation system using water balance approach, learning machines, and remotely sensed data. Agric. Water Manage. 153, 42-50, Accessible online: Click here
- Jalota, S.K., Singh, K.B., Chahal, G.B.S., Gupta, R.K., Chakraborty, S., Sood, A., Ray, S.S., Panigrahy, S., 2009. Integrated effect of transplanting date, cultivar and irrigation on yield, water saving and water productivity of rice (Oryza sativa L.) in Indian Punjab: Field and simulation study. Agric. Water Manage. 96, 1096-1104. Accessible online: Click here
- Jensen, J.R., Mannan, S.M.A., Uddin, S.M.N., 1993a. Irrigation requirement for monsoon rice in Bangladesh. Agric. Water Manage. 23, 199-212. Accessible online: Click here
- Jensen, J.R., Mannan, S.M.A., Uddin, S.M.N., 1993b. Irrigation requirement of transplanted monsoon rice in Bangladesh. Agriculture Water Management 23, 199-212. Accessible online: Click here
- Jones, H.G., 2004. Irrigation scheduling: advantages and pitfalls of plant-based methods. Journal of experimental botany 55, 2427-2436. Accessible online: Click here
- Karimi, P., Qureshi, A.S., Bahramloo, R., Molden, D., 2012. Reducing carbon emissions through improved irrigation and groundwater management: A case study from Iran. Agric. Water Manage. 108, 52-60. Accessible online: Click here
- Kay, M., Hatcho, N., 1992. Small-scale pumped irrigation: energy and cost. FAO, Rome, Italy. Accessible online: Click here
- Kirby, J.M., Ahmad, M.D., Mainuddin, M., Palash, W., Quadir, M.E., Shah-Newaz, S.M., Hossain, M.M., 2015. The impact of irrigation development on regional groundwater resources in Bangladesh. Agric. Water Manage. 159, 264-276. Accessible online: Click here
- Krupnik, T.J., Santos Valle, S., Islam, M.S., Hossain, M.A., Gathala, M.K., Qureshi, A.S., 2015. Energetic, hydraulic, and economic efficiency of axial flow and centrifugal pumps for surface water irrigation in Bangladesh. . Irrigation and Drainage DOI: 10.1002/ird.1940. Accessible online: Click here
- Kukal, S.S., Sudhir, Y., Humphreys, E., Amanpreet, K., Yadvinder, S., Thaman, S., Singh, B., Timsina, J., 2010a. Factors affecting irrigation water savings in raised beds in rice and wheat. Field Crop. Res. 118, 43-50. Accessible online: Click here
- Kukal, S.S., Sudhir, Y., Humphreys, E., Amanpreet, K., Yadvinder, S., Thaman, S., Singh, B., Timsina, J., 2010b. Factors affecting irrigation water savings in raised beds in rice and wheat. Field Crop. Res. 118, 43-50. Accessible online: Click here
- Kumar, S., Shivani, Mishra, S., Singh, V.P., 2006. Effect of tillage and irrigation on soil-water-plant relationship and productivity of winter maize (Zea mays) in north Bihar. Indian J. Agric. Sci. 76, 526-530. Accessible online: Click here
- Lin, X., Xhou, W., Zhu, D., Zhang, Y., 2006. Effect of SWD irrigation on photosynthesis and grain yield of rice (Oryza sativa L.). Field Crop. Res. 94, 67-75. Accessible online: Click here
- Mahmood, A., Oweis, T., Ashraf, M., Majid, A., Aftab, M., Aadal, N.K., Ahmad, I., 2015. Performance of improved practices in farmers’ fields under rainfed and supplemental irrigation systems in a semi-arid area of Pakistan. Agric. Water Manage. 155, 1-10. Accessible online: Click here
- Mainuddin, M., Kirby, M., Chowdhury, R.A.R., Shah-Newaz, S.M., 2014. Spatial and temporal variations of, and the impact of climate change on the dry season crop irrigation requirements in Bangladesh. Irrig. Sci. 33, 107-120. Accessible online: Click here
- Mandal, K.G., Hati, K.M., Misra, A.K., Bandyopadhyay, K.K., Mohanty, M., 2005. Irrigation and nutrient effects on growth and water-yield relationship of wheat (Triticum aestivum L.) in central India. J. Agron. Crop Sci. 191, 416-425. Accessible online: Click here
- Manoliadis, O.G., 2001. Analysis of irrigation systems using sustainability-related criteria. Journal of Environmental Quality 30, 1150-1153. Accessible online: Click here
- Mondal, M.K., Islam, M.N., Mowla, G., Islam, M.T., Ghani, M.A., 1993. Impact of on-farm water management research on the performance of a gravity irrigation system in Bangladesh. Agriculture Water Management 23, 11-22. Accessible online: Click here
- Palmer-Jones, R., 2001. Irrigation Service Markets in Bangladesh: Private Provision of Local Public Goods and Community, Workshop on Managing Common Resources: What is the Solution?, Stockholm, pp. 1-39. Accessible online: Click here
- Paredes, P., Rodrigues, G.C., Alves, I., Pereira, L.S., 2014. Partitioning evapotranspiration, yield prediction and economic returns of maize under various irrigation management strategies. Agric. Water Manage. 135, 27-39. Accessible online: Click here
- Prathapar, S.A., Qureshi, A.S., 1999. Modelling the Effects of Deficit Irrigation on Soil Salinity, Depth to Water Table and Transpiration in Semi-arid Zones with Monsoonal Rains. International Journal of Water Resources Development 15, 141-159. Accessible online: Click here
- Price, A.H., Norton, G.J., Salt, D.E., Oliver Ebenhoeh, O., Meharg, A.A., Meharg, C., Islam, M.R., Sarma, R.N., Dasgupta, T., Ismail, A.M., McNally, K.L., Zhang, H., Dodd, I.C., Davies, W.J., 2013. Alternate Wetting and Drying Irrigation for Rice in Bangladesh: Is it Sustainable and has Plant Breeding Something to Offer? Food and Energy Security 2, 120–129. Accessible online: Click here
- Qureshi, A.S., 2014. Reducing Carbon Emissions through Improved Irrigation Management: A Case Study from Pakistan. Irrigation and Drainage 63, 132-138. Accessible online: Click here
- Qureshi, A.S., Ahmad, W., Ahmad, A.F.A., 2013. Optimum Groundwater Table Depth and Irrigation Schedules for Controlling Soil Salinity in Central Iraq. IRRIGATION AND DRAINAGE 10.1002/ird.1746. Accessible online: Click here
- Rahman, M., Mahmud, M., Ferdous, H., Sultana, N., Sayed, A., 2016. Assessment of Irrigation Water Requirement of Maize Crop for Different Tillage Practices in Bangladesh. American Journal of Experimental Agriculture 10, 1-10. Accessible online: Click here
- Sarwar, A., Bastiaanssen, W.G.M., 2001. Long-Term Effects of Irrigation Water Conservation on Crop Production and Environment in Semiarid Areas Irrigation & Drainage Engineering 127. Accessible online: Click here
- Sarwar, A., Perry, C., 2002. Increasing water productivity through deficit irrigation: evidence from the Indus plains of Pakistan. Irrigation and Drainage 51, 87-92. Accessible online: Click here
- Shah, T., Scott, C., Kishore, A., Sharma, A.R., 2004. Energy-irrigation nexus in South Asia: Improving groundwater conservation and power sector viability. S, Second (Revised) Edition. Research Report 70. International Water Management Institute., Colombo, Sri Lanka. Accessible online: Click here
- Shah, T., Ul Hassan, M., Khattak Parth Sarthi, M.Z.B., Singh, O.P., Rehman, S.U., 2009. Is Irrigation Water Free? A Reality Check in the Indo-Gangetic Basin. World Development 37, 422-434. Accessible online: Click here
- Shahid, S., 2007. Estimation of Irrigation Water Demand in Paddy Fields of Northwestern Bangladesh Using Remote Sensing and GIS. Institute of Geography Friedrich-Schiller-Universität Jena Germany. Accessible online: Click here
- Shahid, S., 2010. Impact of climate change on irrigation water demand of dry season Boro rice in northwest Bangladesh. Climatic Change 105, 433-453. Accessible online: Click here
- Shankar, B., Halls, A., Barr, J., 2005. The Effects of Surface Water Abstraction for Rice Irrigation on Floodplain Fish Production in Bangladesh. Int. J. Water 3, 61-83. Accessible online: Click here
- Singh, A., 2013. Irrigation Planning and Management Through Optimization Modelling. Water Resources Management 28, 1-14. Accessible online: Click here
- Wichelns, D., Qadir, M., 2015. Achieving sustainable irrigation requires effective management of salts, soil salinity, and shallow groundwater. Agric. Water Manage. 157, 31-38. Accessible online: Click here
- Zahid, A., Ahmed, S.R.U., 2004. Groundwater Resources Development in Bangladesh- Contribution to Irrigation for Food Security and Constraints to Sustainability. CIMMYT, Mexico. Accessible online: Click here
Papers pertaining salinity management
- Akramkhanov, A., Martius, C., Park, S.J., Hendrickx, J.M.H., 2011. Environmental factors of spatial distribution of soil salinity on flat irrigated terrain. Geoderma 163, 55-62. Accessible online: Click here
- Amer, K.H., 2010. Corn crop response under managing different irrigation and salinity levels. Agric. Water Manage. 97, 1553-1563. Accessible online: Click here
- Ayers, R.S., Westcot, D.W., 1989. Salinity problems, in: FAO (Ed.), Water quality for agriculture. FAO, Rome, Italy, pp. 1-32. Accessible online: Click here
- Balugani, E., 2010. Measuring Salinity within Shallow Piezometers: Comparison of Two Field Methods. Journal of Water Resource and Protection 02, 251-258. Accessible online: Click here
- Bhuiyan, M.J.A.N., Dutta, D., 2012. Assessing impacts of sea level rise on river salinity in the Gorai river network, Bangladesh. Estuarine, Coastal and Shelf Science 96, 219-227. Accessible online: Click here
- Devkota, M., Martius, C., Gupta, R.K., Devkota, K.P., McDonald, A.J., Lamers, J.P.A., 2015. Managing soil salinity with permanent bed planting in irrigated production systems in Central Asia. Agriculture, Ecosystems & Environment 202, 90-97. Accessible online: Click here
- Gowing, J.W., Rose, D.A., Ghamarnia, H., 2009. The effect of salinity on water productivity of wheat under deficit irrigation above shallow groundwater. Agric. Water Manage. 96, 517-524. Accessible online: Click here
- Guo, Y., Shi, Z., Zhou, L.-q., Jin, X., Tian, Y.-f., Teng, H.-f., 2013. Integrating Remote Sensing and Proximal Sensors for the Detection of Soil Moisture and Salinity Variability in Coastal Areas. Journal of Integrative Agriculture 12, 723-731. Accessible online: Click here
- Hossain, M.L., Hossain, M.K., Salam, M.A., Rubaiyat, A., 2012. Seasonal Variation of Soil Salinity in Coastal Areas of Bangladesh. International Journal of Environmental Science, Management and Engineering Research 1, 172-178. Accessible online: Click here
- Mashimbye, Z.E., Cho, M.A., Nell, J.P., De Clercq, W.P., Van Niekerk, A., Turner, D.P., 2012. Model-Based Integrated Methods for Quantitative Estimation of Soil Salinity from Hyperspectral Remote Sensing Data: A Case Study of Selected South African Soils. Pedosphere 22, 640-649. Accessible online: Click here
- Metternicht, G.I., Zinck, J.A., 2003. Remote sensing of soil salinity: potentials and constraints. Remote Sensing of Environment 85, 1-20. Accessible online: Click here
- Mondala, M.K., Bhuiyanb, S.I., Franco, D.T., 2001. Soil salinity reduction and prediction of salt dynamics in the coastal ricelands of Bangladesh. Agric. Water Manage. 47, 9-23. Accessible online: Click here
- Prathapar, S.A., Qureshi, A.S., 1999. Modelling the Effects of Deficit Irrigation on Soil Salinity, Depth to Water Table and Transpiration in Semi-arid Zones with Monsoonal Rains. International Journal of Water Resources Development 15, 141-159. Accessible online: Click here
- Quader Mirza, M.M., 1998. Diversion of the Ganges Water at Farakka and Its Effects on Salinity in Bangladesh. Environmental Management 22, 711–722. Accessible online: Click here
- Qureshi, A., Sarwar, A., 2009. Managing salinity in the Indus Basin of Pakistan. Intl. J. River Basin Management 7, 111-117. Accessible online: Click here
- Qureshi, A.S., Ahmad, W., Ahmad, A.F.A., 2013. Optimum Groundwater Table Depth and Irrigation Schedules for Controlling Soil Salinity in Central Iraq. IRRIGATION AND DRAINAGE 10.1002/ird.1746. Accessible online: Click here
- Qureshi, A.S., McCornick, P.G., Qadir, M., Aslam, Z., 2008. Managing Salinity and Waterlogging in the Indus Basin of Pakistan. Agric. Water Manage. 95, 1-10. Accessible online: Click here
- Rabbani, G., Rahman, A., Khandaker, M., Shoef, I.J., 2013. Loss and Damage from Salinity Intrusion in Sathkira District, Coastal Bangladesh, p. 55. Accessible online: Click here
- Rhoades, J.D., Chanduvi, F., Lesch, S., 1999a. Soil salinity assessment- Methods and interpretation of electrical conductivity measurements. FAO, Rome, Italy. Accessible online: Click here
- Rhoades, J.D., Chanduvi, F., Lesch, S., 1999b. Soil salinity assessment. Methods and interpretation of electrical conductivity measurements, Rome, Italy, p. 165. Accessible online: Click here
- Sarker, E.M.H., 2014. Assessment of the spatial trend of soil salinity in southwest region of Bangladesh using GIS techniques. Center for Environmental and Geographic Information Services, Dhaka. Accessible online: Click here
- Szabo, S., Hossain, M.S., Adger, W.N., Matthews, Z., Ahmed, S., Lázár, A.N., Ahmad, S., 2015. Soil salinity, household wealth and food insecurity in tropical deltas: evidence from south-west coast of Bangladesh. Sustainability Science. Accessible online: Click here
- Vaughan, P., Letey, J., 2015. Irrigation water amount and salinity dictate nitrogen requirement. Agric. Water Manage. 157, 6-11. Accessible online: Click here
- Wichelns, D., Qadir, M., 2015. Achieving sustainable irrigation requires effective management of salts, soil salinity, and shallow groundwater. Agric. Water Manage. 157, 31-38. Accessible online: Click here
- Zhao, Y., Pang, H., Wang, J., Huo, L., Li, Y., 2014. Effects of straw mulch and buried straw on soil moisture and salinity in relation to sunflower growth and yield. Field Crop. Res. 161, 16-25. Accessible online: Click here
Remote sensing papers of interest
- Adham, M.I., Jahan, C.S., MAzmuder, Q.H., Hossain, M.M.A., Haque, A.M., 2010. Study on Groundwater Recharge Potentiality of Barind Tract, Rajshahi District, Bangladesh Using GIS and Remote Sensing Technique, J. of Geogological Society of India, pp. 432–438. Accessible online: Click here
- Albergel, C., Dorigo, W., Balsamo, G., Muñoz-Sabater, J., de Rosnay, P., Isaksen, L., Brocca, L., de Jeu, R., Wagner, W., 2013. Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses. Remote Sensing of Environment 138, 77-89. Accessible online: Click here
- Beriaux, E., Lucau-Danila, C., Auquiere, E., Defourny, P., 2013. Multiyear independent validation of the water cloud model for retrieving maize leaf area index from SAR time series. International Journal of Remote Sensing 34, 4156-4181. Accessible online: Click here
- Brown, J.F., Pervez, M.S., 2014. Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture. Agric. Syst. 127, 28-40. Accessible online: Click here
- Castaño, S., Sanz, D., Gómez-Alday, J.J., 2009. Methodology for Quantifying Groundwater Abstractions for Agriculture via Remote Sensing and GIS. Water Resources Management 24, 795-814. Accessible online: Click here
- Chandna, P., Ladha, J.K., Singh, U.P., Punia, M., Gupta, R., Sidhu, B.S., 2012. Using remote sensing technologies to enhance resource conservation and agricultural productivity in underutilized lands of South Asia. Applied Geography 32, 889-906. Accessible online: Click here
- Chaussard, E., Wdowinski, S., Cabral-Cano, E., Amelung, F., 2014. Land subsidence in central Mexico detected by ALOS InSAR time-series. Remote Sensing of Environment 140, 94-106. Accessible online: Click here
- Chen, T., de Jeu, R.A.M., Liu, Y.Y., van der Werf, G.R., Dolman, A.J., 2014. Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia. Remote Sensing of Environment 140, 330-338. Accessible online: Click here
- Clark, M.L., Aide, T.M., Grau, H.R., Riner, G., 2010. A scalable approach to mapping annual land cover at 250 m using MODIS time series data: A case study in the Dry Chaco ecoregion of South America. Remote Sensing of Environment 114, 2816-2832. Accessible online: Click here
- Dandois, J.P., Ellis, E.C., 2013. High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision. Remote Sensing of Environment 136, 259-276. Accessible online: Click here
- Davranche, A., Poulin, B., Lefebvre, G., 2013. Mapping flooding regimes in Camargue wetlands using seasonal multispectral data. Remote Sensing of Environment 138, 165-171. Accessible online: Click here
- Del Pozo, S., Rodríguez-Gonzálvez, P., Hernández-López, D., Felipe-García, B., 2014. Vicarious Radiometric Calibration of a Multispectral Camera on Board an Unmanned Aerial System. Remote Sensing 6, 1918-1937. Accessible online: Click here
- Dobrowski, S., Pushnik, J., Zarcotejada, P., Ustin, S., 2005. Simple reflectance indices track heat and water stress-induced changes in steady-state chlorophyll fluorescence at the canopy scale. Remote Sensing of Environment 97, 403-414. Accessible online: Click here
- Draper, C., Reichle, R., de Jeu, R., Naeimi, V., Parinussa, R., Wagner, W., 2013. Estimating root mean square errors in remotely sensed soil moisture over continental scale domains. Remote Sensing of Environment 137, 288-298. Accessible online: Click here
- Eerens, H., Haesen, D., Rembold, F., Urbano, F., Tote, C., Bydekerke, L., 2014. Image time series processing for agriculture monitoring. Environmental Modelling & Software 53, 154-162. Accessible online: Click here
- Feyisa, G.L., Meilby, H., Fensholt, R., Proud, S.R., 2014. Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery. Remote Sensing of Environment 140, 23-35. Accessible online: Click here
- Fitzgerald, G., Rodriguez, D., O’Leary, G., 2010. Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index—The canopy chlorophyll content index (CCCI). Field Crop. Res. 116, 318-324. Accessible online: Click here
- Fitzgerald, G.J., 2010. Characterizing vegetation indices derived from active and passive sensors. International Journal of Remote Sensing 31, 4335-4348. Accessible online: Click here
- Gago, J., Douthe, C., Coopman, R.E., Gallego, P.P., Ribas-Carbo, M., Flexas, J., Escalona, J., Medrano, H., 2015. UAVs challenge to assess water stress for sustainable agriculture. Agric. Water Manage. 153, 9-19. Accessible online: Click here
- Garcia-Torres, L., Caballero-Novella, J.J., Gomez-Candon, D., De-Castro, A.I., 2014. Semi-automatic normalization of multitemporal remote images based on vegetative pseudo-invariant features. PloS one 9, e91275. Accessible online: Click here
- Gitelson, A.A., Peng, Y., Arkebauer, T.J., Schepers, J., 2014. Relationships between gross primary production, green LAI, and canopy chlorophyll content in maize: Implications for remote sensing of primary production. Remote Sensing of Environment 144, 65-72. Accessible online: Click here
- Gray, J., Song, C., 2013. Consistent classification of image time series with automatic adaptive signature generalization. Remote Sensing of Environment 134, 333-341. Accessible online: Click here
- Grodsky, S.A., Reverdin, G., Carton, J.A., Coles, V.J., 2014. Year-to-year salinity changes in the Amazon plume: Contrasting 2011 and 2012 Aquarius/SACD and SMOS satellite data. Remote Sensing of Environment 140, 14-22. Accessible online: Click here
- Gumma, M.K., Thenkabali, P., S., Maunahan, A., Islam, S., 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, 98–113. Accessible online: Click here
- Guo, Y., Shi, Z., Zhou, L.-q., Jin, X., Tian, Y.-f., Teng, H.-f., 2013. Integrating Remote Sensing and Proximal Sensors for the Detection of Soil Moisture and Salinity Variability in Coastal Areas. Journal of Integrative Agriculture 12, 723-731. Accessible online: Click here
- Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H., 2009. The WEKA Data Mining Software: An Update. SIGKDD Explorations 11: 1. Accessible online: Click here
- Haque, A.A.M., Jayasuriya, H.P.W., Salokhe, V.M., Tripathi, N.K., Parkpian, P., 2007. Assessment of Influence and Inter-Relationships of Soil Properties in Irrigated Rice Fields of Bangladesh by GIS and Factor Analysis. Agricultural Engineering International: the CIGR E-journal IX, 1-17. Accessible online: Click here
- Hedley, C.B., Roudier, P., Yule, I.J., Ekanayake, J., Bradbury, S., 2013. Soil water status and water table depth modelling using electromagnetic surveys for precision irrigation scheduling. Geoderma 199, 22-29. Accessible online: Click here
- Hirpa, F.A., Hopson, T.M., De Groeve, T., Brakenridge, G.R., Gebremichael, M., Restrepo, P.J., 2013. Upstream satellite remote sensing for river discharge forecasting: Application to major rivers in South Asia. Remote Sensing of Environment 131, 140-151. Accessible online: Click here
- Ines, A.V.M., Das, N.N., Hansen, J.W., Njoku, E.G., 2013. Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction. Remote Sensing of Environment 138, 149-164. Accessible online: Click here
- Inoue, Y., Sakaiya, E., Wang, C., 2014. Capability of C-band backscattering coefficients from high-resolution satellite SAR sensors to assess biophysical variables in paddy rice. Remote Sensing of Environment 140, 257-266. Accessible online: Click here
- Islam, a.S., Bala, S.K., Haque, M.a., 2010. Flood inundation map of Bangladesh using MODIS time-series images. Journal of Flood Risk Management 3, 210-222. Accessible online: Click here
- Jain, M., Mondal, P., DeFries, R.S., Small, C., Galford, G.L., 2013. Mapping cropping intensity of smallholder farms: A comparison of methods using multiple sensors. Remote Sensing of Environment 134, 210-223. Accessible online: Click here
- Jasrotia, A.S., Majhi, A., Singh, S., 2009. Water Balance Approach for Rainwater Harvesting using Remote Sensing and GIS Techniques, Jammu Himalaya, India. Water Resources Management 23, 3035-3055. Accessible online: Click here
- Johnson, D.M., 2014. An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States. Remote Sensing of Environment 141, 116-128. Accessible online: Click here
- Jones, M.O., Jones, L.A., Kimball, J.S., McDonald, K.C., 2011. Satellite passive microwave remote sensing for monitoring global land surface phenology. Remote Sensing of Environment 115, 1102-1114. Accessible online: Click here
- Jones, M.O., Kimball, J.S., Jones, L.A., McDonald, K.C., 2012. Satellite passive microwave detection of North America start of season. Remote Sensing of Environment 123, 324-333. Accessible online: Click here
- Laurent, V.C.E., Schaepman, M.E., Verhoef, W., Weyermann, J., Chávez, R.O., 2014. Bayesian object-based estimation of LAI and chlorophyll from a simulated Sentinel-2 top-of-atmosphere radiance image. Remote Sensing of Environment 140, 318-329. Accessible online: Click here
- Laurent, V.C.E., Verhoef, W., Damm, A., Schaepman, M.E., Clevers, J.G.P.W., 2013. A Bayesian object-based approach for estimating vegetation biophysical and biochemical variables from APEX at-sensor radiance data. Remote Sensing of Environment 139, 6-17. Accessible online: Click here
- Li, L., Friedl, M., Xin, Q., Gray, J., Pan, Y., Frolking, S., 2014. Mapping Crop Cycles in China Using MODIS-EVI Time Series. Remote Sensing 6, 2473-2493. Accessible online: Click here
- Lobell, D.B., Ortiz-Monasterio, J.I., Sibley, A.M., Sohu, V.S., 2013. Satellite detection of earlier wheat sowing in India and implications for yield trends. Agric. Syst. 115, 137-143. Accessible online: Click here
- Maas, S.J., Rajan, N., 2008. Estimating Ground Cover of Field Crops Using Medium-Resolution Satellite Imagery. Agron. J. 100, 320-327. Accessible online: Click here
- McKenzie, N.J., Ryan, P.J., 1999. Spatial prediction of soil properties using environmental correlation. ELSEVIER, Melbourne , Australia, pp. 67-94. Accessible online: Click here
- Metternicht, G.I., Zinck, J.A., 2003. Remote sensing of soil salinity: potentials and constraints. Remote Sensing of Environment 85, 1-20. Accessible online: Click here
- Mosleh, M., Hassan, Q., 2014. Development of a Remote Sensing-Based “Boro” Rice Mapping System. Remote Sensing 6, 1938-1953. Accessible online: Click here
- Mottaleb, K.A., Gumma, M.K., Mishra, A.K., Mohanty, S., 2015. Quantifying production losses due to drought and submergence of rainfed rice at the household level using remotely sensed MODIS data. Agric. Syst. 137, 227-235. Accessible online: Click here
- Nelson, A., Boschetti, M., Manfron, G., Holecz, F., Collivignarelli, F., Gatti, L., Barbieri, M., Villano, L., Chandna, P., Setiyono, T., 2014. Combining Moderate-Resolution Time-Series RS Data from SAR and Optical Sources for Rice Crop Characterisation: Examples from Bangladesh. Accessible online: Click here
- Nijland, W., de Jong, R., de Jong, S.M., Wulder, M.A., Bater, C.W., Coops, N.C., 2014. Monitoring plant condition and phenology using infrared sensitive consumer grade digital cameras. Agricultural and Forest Meteorology 184, 98-106. Accessible online: Click here
- Paloscia, S., Pettinato, S., Santi, E., Notarnicola, C., Pasolli, L., Reppucci, A., 2013. Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation. Remote Sensing of Environment 134, 234-248. Accessible online: Click here
- Peischl, S., Walker, J.P., Ye, N., Ryu, D., Kerr, Y., 2014. Sensitivity of multi-parameter soil moisture retrievals to incidence angle configuration. Remote Sensing of Environment 143, 64-72. Accessible online: Click here
- Pickett-Heaps, C.A., Canadell, J.G., Briggs, P.R., Gobron, N., Haverd, V., Paget, M.J., Pinty, B., Raupach, M.R., 2014. Evaluation of six satellite-derived Fraction of Absorbed Photosynthetic Active Radiation (FAPAR) products across the Australian continent. Remote Sensing of Environment 140, 241-256. Accessible online: Click here
- Pierdicca, N., Pulvirenti, L., Bignami, C., 2010. Soil moisture estimation over vegetated terrains using multitemporal remote sensing data. Remote Sensing of Environment 114, 440-448. Accessible online: Click here
- Roelofsen, H.D., Kooistra, L., van Bodegom, P.M., Verrelst, J., Krol, J., Witte, J.-P.M., 2014. Mapping a priori defined plant associations using remotely sensed vegetation characteristics. Remote Sensing of Environment 140, 639-651. Accessible online: Click here
- Sahoo, R.N., Bandyopadhyay, K., Pradhan, S., Singh, R., Singh, S., Krishna, G., 2014. Characterization and Crop Planning of Rabi Fallows using Remote Sensing and GIS - A Key Component for Bringing Green Revolution in Eastern India. Indian Agricultural Research Institute, New Delhi, India, p. 68. Accessible online: Click here
- Sakamoto, T., Van Nguyen, N., Kotera, A., Ohno, H., Ishitsuka, N., Yokozawa, M., 2007. Detecting temporal changes in the extent of annual flooding within the Cambodia and the Vietnamese Mekong Delta from MODIS time-series imagery. Remote Sensing of Environment 109, 295-313. Accessible online: Click here
- Sakamoto, T., Van Phung, C., Kotera, A., Nguyen, K.D., Yokozawa, M., 2009. Analysis of rapid expansion of inland aquaculture and triple rice-cropping areas in a coastal area of the Vietnamese Mekong Delta using MODIS time-series imagery. Landscape and Urban Planning 92, 34-46. Accessible online: Click here
- Sakamoto, T., Yokozawa, M., Toritani, H., Shibayama, M., Ishitsuka, N., Ohno, H., 2005. A crop phenology detection method using time-series MODIS data. Remote Sensing of Environment 96, 366-374. Accessible online: Click here
- Schulthess, U., Timsina, J., Herrera, J.M., McDonald, A., 2012. Mapping field-scale yield gaps for maize: An example from Bangladesh. Field Crop. Res., 2008-2013. Accessible online: Click here
- Shahid, S., 2007. Estimation of Irrigation Water Demand in Paddy Fields of Northwestern Bangladesh Using Remote Sensing and GIS. Institute of Geography Friedrich-Schiller-Universität Jena Germany. Accessible online: Click here
- Shi, W., Wang, M., Jiang, L., 2013. Tidal effects on ecosystem variability in the Chesapeake Bay from MODIS-Aqua. Remote Sensing of Environment 138, 65-76. Accessible online: Click here
- Smith, L., 1997. Satellite remote sensing of river inundation area, stage, and discharge: A review. Hydrological Processes 11, 1427–1439. Accessible online: Click here
- Son, N.T., Chen, C.F., Chen, C.R., Chang, L.Y., 2013. Satellite-based investigation of flood-affected rice cultivation areas in Chao Phraya River Delta, Thailand. ISPRS Journal of Photogrammetry and Remote Sensing 86, 77-88. Accessible online: Click here
- Subbarao, G.V., Kumar, R., J.V.D.K., Kumar, J., Johansen, C., Deb, U.K., Ahmed, I., Krisna Rao, M.V., Venkataratnam, L., Hebbar, K.R., Sai, M.V.S.R., Harris, D., 2001. Spatial distribution and quantification of rice-fallows in South Asia – potential for legumes. International Crops Research Institute for the Semi-Arid Tropics, Patanchery 502 324, Andra Pradesh, India. Accessible online: Click here
- Sultana, S.R., Ali, A., Ahmad, A., Mubeen, M., Zia-Ul-Haq, M., Ahmad, S., Ercisli, S., Jaafar, H.Z., 2014. Normalized Difference Vegetation Index as a tool for wheat yield estimation: a case study from Faisalabad, Pakistan. TheScientificWorldJournal 2014, 725326. Accessible online: Click here
- Tarpanelli, A., Brocca, L., Lacava, T., Melone, F., Moramarco, T., Faruolo, M., Pergola, N., Tramutoli, V., 2013. Toward the estimation of river discharge variations using MODIS data in ungauged basins. Remote Sensing of Environment 136, 47-55. Accessible online: Click here
- Teillet, P.M., Fedosejevs, G., 1995. On the dark target approach to atmospheric correction of remotely sensed data. Canadian Journal of Remote Sensing. 21, 374–387. Accessible online: Click here
- Vereecken, H., Weihermüller, L., Jonard, F., Montzka, C., 2012. Characterization of Crop Canopies and Water Stress Related Phenomena using Microwave Remote Sensing Methods: A Review. Vadose Zone Journal 11, 0. Accessible online: Click here
- Wang, L., Tian, Y., Yao, X., Zhu, Y., Cao, W., 2014. Predicting grain yield and protein content in wheat by fusing multi-sensor and multi-temporal remote-sensing images. Field Crop. Res. 164, 178-188. Accessible online: Click here
- Wardlow, B., Egbert, S., Kastens, J., 2007. Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains. Remote Sensing of Environment 108, 290-310. Accessible online: Click here
- Yan, L., Roy, D.P., 2014. Automated crop field extraction from multi-temporal Web Enabled Landsat Data. Remote Sensing of Environment 144, 42-64. Accessible online: Click here
- Zarco-Tejada, P.J., Pushnik, J.C. , Dobrowski, S., Ustin, S.L., 2003. Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects. Remote Sensing of Environment 84, 283–294. Accessible online: Click here
- Zhao, Y., Chen, X., Cui, Z., Lobell, D.B., 2015. Using satellite remote sensing to understand maize yield gaps in the North China Plain. Field Crop. Res. 183, 31-42. Accessible online: Click here
- Zwart, S.J., Bastiaanssen, W.G.M., de Fraiture, C., Molden, D.J., 2010. WATPRO: A remote sensing based model for mapping water productivity of wheat. Agr Water Manage 97, 1628-1636. Accessible online: Click here
- Zwart, S.J., Leclert, L.M.C., 2010. A remote sensing-based irrigation performance assessment: a case study of the Office du Niger in Mali. Irrig. Sci. 28, 371-385. Accessible online: Click here
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