Your search found 44 records
1 Consultants in Technology Management and Development Studies (TEAMS). 1991. Study on management and costs of operation and maintenance of irrigation systems under the Irrigation Department, Sri Lanka - Final report. Vol. 1 - Main report. Report submitted to International Irrigation Management Institute (IIMI), Sri Lanka filed operations by Consultants in Technology Management and Development Studies (TEAMS). Colombo, Sri Lanka: Consultants in Technology Management and Development Studies (TEAMS). 162p.
Irrigation management ; Government managed irrigation systems ; Operating costs ; Funding ; Maintenance costs ; Economic analysis ; Irrigation schemes ; Institutions ; Data analysis ; Research projects / Sri Lanka / Giritale Irrigation Scheme / Ridi Bendi Ela Irrigation Scheme / Galoya L. B. Irrigation Scheme / Inginimitiya Irrigation Scheme / Mahakandarawa Irrigation Scheme
(Location: IWMI-HQ Call no: 631.7.4 G744 STU Record No: H08569)
2 Mpahlele, R. E.; Malakalaka, T. M.; Hedden-Dunkhorst, B. 2000. Characteristics of smallholder irrigation farming in South Africa: a case study of the Arabie-Olifants River Irrigation Scheme. Colombo, Sri Lanka: International Water Management Institute (IWMI). 32p. (IWMI South Africa Working Paper 3) [doi: https://doi.org/10.5337/2011.0040]
Irrigated farming ; Small-scale systems ; River basin development ; Productivity ; Crop yield ; Economic aspects ; Social aspects ; Data analysis ; Data collection ; Households ; Food security ; Farming systems ; Land tenure ; Marketing ; Extension / South Africa / Arabie-Olifants River Irrigation Scheme
(Location: IWMI HQ Call no: IWMI 631.7.3 G178 MPA Record No: H025765)
(1.89 MB)
3 van de Walle, D.; Gunewardena, D. 2001. Does ignoring heterogeneity in impacts distort project appraisals?: An experiment for irrigation in Vietnam. The World Bank Economic Review, 15(1):141-164.
(Location: IWMI-HQ Call no: P 5866 Record No: H028913)
4 Poate, C. D.; Daplyn, P. F. 1993. Data for agrarian development. New York, USA: Cambridge University Press. 387p. (WYE Studies in Agricultural and Rural Development)
Agricultural Economics ; Rural development ; Research methods ; Surveys ; Sampling ; Statistical methods ; Data collection ; Data processing ; Data analysis ; Questionnaires
(Location: IWMI-HQ Call no: 338.1 G000 POA Record No: H041132)
5 Singh, K. 2007. Quantitative social research methods. New Delhi, India: Sage. 432p.
Research methods ; Social sciences ; Data analysis ; Statistical methods ; Computer software ; Water resource management ; Poverty ; Rural development ; Natural resources management
(Location: IWMI HQ Call no: 005.55 G000 SIN Record No: H041763)
6 Erkossa, Teklu; Teklewold, H. 2009. Agronomic and economic efficiency of manure and urea fertilizers use on vertisols in Ethiopian highlands. Agricultural Sciences in China, 8(3):352-360. [doi: https://doi.org/10.1016/S1671-2927(08)60219-9]
Vertisols ; Soil fertility ; Organic fertilizers ; Inorganic fertilizers ; Fertilizers ; Nitrogen fertilizers ; Crop production ; Legumes ; Cereals ; Straw ; Cropping systems ; Crop rotation ; Data analysis ; Economic analysis ; Yields ; Productivity ; Profitability / Ethiopia
(Location: IWMI HQ Call no: e-copy only Record No: H042151)
(0.22 MB)
Soil fertility depletion is among the major impediments to sustained agricultural productivity especially in the less developed countries because of limited application of fertilizers. Soil fertility maintenance requires a balanced application of inorganic and organic nutrient sources. This study was conducted on a Vertisol in Ethiopia to determine the optimum farm yard manure (M) and nitrogen (N) application rates for maximum return under cereal-pulse-cereal rotation system. The main and interaction effects of M and N significantly affected biomass, grain and straw yields of wheat (Triticum durum) and tef (Eragrostis tef), but the residual effect on chickpea (Cicer arietinum) was not significant. Application of 6 t M ha-1 and 30 kg N ha-1, gave the largest grain yield of both crops but a comparable result was obtained due to 3 t M ha-1 and 30 kg N ha-1. The economic analysis revealed that 6.85 t M ha-1 and 44 kg N ha-1 for wheat, and 4.53 t M ha-1 and 37 kg N ha-1 for tef were the economic optimum rates. The additional benefit obtained due to these rates was about 450 USD ha-1. Therefore, application of the economic optimum combination of both organic and inorganic sources of nitrogen is recommended for use on cereals in the cereal-legume-cereal rotation system.
7 Heywood, I.; Cornelius, S.; Carver, S. 2006. An introduction to geographical information systems. 3rd ed. Harlow, UK: Pearson Education. 426p.
(Location: IWMI HQ Call no: 910.285 G000 HEY Record No: H043266)
(0.45 MB)
8 Kraak, M.-J.; Ormeling, F. 2010. Cartography: visualization of spatial data. 3rd ed. New York, NY, USA: Guilford press. 198p.
(Location: IWMI HQ Call no: 526 G000 KRA Record No: H043445)
(0.40 MB)
9 Ayana, E. K. 2007. Validation of radar altimetry lake level data and it's application in water resource management. MSc thesis. Enschede, Netherlands: International Institute for Geo-information Science and Earth Observation (ITC). 76p.
Water management ; International waters ; Radar satellite ; Measuring instruments ; Remote sensing ; Lakes ; Data analysis ; Statistical methods ; Cartography ; Satellite imagery / Ethiopia / Lake Tana / Nile River Basin
(Location: IWMI HQ Call no: 333.91 G000 AYA Record No: H043878)
(2.20 MB) (2.198MB)
10 Mohammed, M. A. 2007. Hydrological responses to land cover changes: modelling case study in Blue Nile Basin, Ethiopia. MSc thesis. Enschede, Netherlands: International Institute for Geo-information Science and Earth Observation (ITC). 64p. + annexes.
Hydrological cycle ; Land cover change ; River basins ; Case studies ; Simulation models ; Rainfall-runoff relationships ; Soil moisture ; Mapping ; Satellite imagery ; Data analysis ; Evaporation / Ethiopia / Blue Nile River Basin / Chemoga Watershed
(Location: IWMI HQ Call no: 551.48 G136 MOH Record No: H043880)
(0.07 MB)
11 Gadisso, B. E. 2007. Drought assessment for the Nile Basin using meteosat second generation data with special emphasis on the Upper Blue Nile region. MSc thesis. Enschede, Netherlands: International Institute for Geo-information Science and Earth Observation (ITC). 76p.
Drought ; Monitoring ; Remote sensing ; Vegetation index ; Water supply ; River basins ; Yields ; Data processing ; Data analysis ; Maps / Ethiopia / Nile River Basin / Upper Blue Nile
(Location: IWMI HQ Call no: 632.12 G136 GAD Record No: H043881)
http://www.itc.nl/library/papers_2007/msc/wrem/gadisso.pdf
https://vlibrary.iwmi.org/pdf/H043881.pdf
https://vlibrary.iwmi.org/pdf/H043881.pdf
(1.78 MB) (1.77MB)
12 King, J. M.; Tharme, R. E.; de Villiers, M. S. (Eds.) 2008. Environmental flow assessments for rivers: manual for the building block methodology. Updated edition. Gezina, South Africa: Water Research Commission. 339p. (WRC Report No. TT 354/08)
Environmental flows ; Assessment ; Meteorology ; Water resources ; Water law ; Rivers ; Ecology ; Hydrology ; Fluid mechanics ; Geomorphology ; Water quality ; Vegetation ; Aquatic animals ; Invertebrates ; Fish ; Groundwater ; Habitats ; Surveys ; Data analysis / South Africa
(Location: IWMI HQ Call no: 333.91 G178 KIN Record No: H044214)
http://www.wrc.org.za/Knowledge%20Hub%20Documents/Research%20Reports/TT%20354-CONSERVATION.pdf
https://vlibrary.iwmi.org/pdf/H044214.pdf
https://vlibrary.iwmi.org/pdf/H044214.pdf
(3.56 MB) (3.56MB)
13 Dooley, J. F. 2005. An inventory and comparison of globally consistent geospatial databases and libraries. Rome, Italy: FAO. 177p. (FAO Environment and Natural Resources Working Paper No. 19)
GIS ; Spatial database ; Databases ; Libraries ; Surveys ; Terminology ; Statistical data ; Data analysis ; Poverty ; Food insecurity ; Mapping ; Transport ; Mathematical models ; Geology ; Geomorphology ; Hydrogeology ; Soils ; Hydrology ; Drainage ; Watersheds ; Satellite imagery ; Land cover ; Vegetation ; Climatic data ; Agroecology ; Assessment ; Agricultural production
(Location: IWMI HQ Call no: 910.285 G000 DOO Record No: H044234)
This report presents an inventory of global data sources which can be used to provide consistent geospatial baselines for core framework data layers in the support of generalized base mapping, emergency preparedness and response, food security and poverty mapping. In the report, only globally consistent data sources at the scales of 1:5 million or larger for vector data and a nominal pixel size of 5 arc minutes or higher resolution for raster data, were considered. The sources of data presented in the inventory were identified based on a review of on-line Internet resources conducted in the first quarter of 2004 and updated in January 2005.The inventory is divided into two parts: with Part One of the inventory presenting overview, terminology and summary sections of globally consistent data libraries; while Part Two contains a categorization of the data sources identified broken into topical subsections based on the individual core data layers specified by UNGIWG and FAO. The report also includes a matrix rating the suitability of the various data sources identified to each of the core data layers specified by UGIWIG and FAO, and introduces Virtual Base Maps as a potential cost-effective means for: providing spatial referencing to remote field offices, enhancing Internet map serving capabilities, and facilitating mapping via GPS handheld devices.
14 Joshi, P. K.; Singh, T. P. 2011. Geoinformatics for climate change studies. New Delhi, India: The Energy and Resources Institute (TERI). 470p.
Remote sensing ; GIS ; Climate change ; Environmental temperature ; Global warming ; Models ; Mountains ; Glaciers ; Forests ; Ecosystems ; Phenology ; Mapping ; Sea level ; Water management ; Evapotranspiration ; Land degradation ; Satellite imagery ; Natural disasters ; Landslides ; Flooding ; Wildfires ; Risk reduction ; Research ; Greenhouse gases ; Vegetation ; Invasive species ; River basins ; Health hazards ; Waterborne diseases ; Diarrhoea ; Malaria ; Land degradation ; Data analysis / South Africa / Nigeria / Bangladesh / Morocco / Germany / Thailand / Malaysia / Australia / Eastern Cape Province / Mooi River Basin / Weida River Basin / Murray Darling River Basin / Thuringia / Chang Mai / Kanchanaburi
(Location: IWMI HQ Call no: 621.3678 G000 JOS Record No: H044290)
(0.33 MB)
15 Abtew, W.; Melesse, A. M.; Dessalegne, T. 2008. Characteristics of monthly and annual rainfall of the Upper Blue Nile Basin. In Abtew, W.; Melesse, A. M. (Eds.). Proceedings of the Workshop on Hydrology and Ecology of the Nile River Basin under Extreme Conditions, Addis Ababa, Ethiopia, 16-19 June 2008. Sandy, UT, USA: Aardvark Global Publishing. pp.250-262.
(Location: IWMI HQ Call no: 551.48 G136 ABT Record No: H044326)
(0.78 MB)
16 Legesse, D.; Gashaw, W. 2008. Flood hazard and risk assessment in Fegera Woreda using GIS and remote sensing. In Abtew, W.; Melesse, A. M. (Eds.). Proceedings of the Workshop on Hydrology and Ecology of the Nile River Basin under Extreme Conditions, Addis Ababa, Ethiopia, 16-19 June 2008. Sandy, UT, USA: Aardvark Global Publishing. pp.333-365.
Flooding ; Frequency ; Data analysis ; Risk assessment ; GIS ; Remote sensing ; Land use ; Land cover / Ethiopia / Fegera Woreda / Ribb-Gumara Catchment
(Location: IWMI HQ Call no: 551.48 G136 ABT Record No: H044336)
(2.31 MB)
17 Prasad, P. R.; Nagabhatla, N.; Dutt, C. B. S. 2010. Intra-variability analysis in the heterogeneous tropical island system of South Asia. In Ramakrishna; Raghunathan, C.; Sivaperuman, C. Recent trends in biodiversity of Andaman and Nicobar Islands. Kolkata, India: Zoological Survey of India. pp.223-230 + Plates.
Islands ; Landscape ; Mapping ; Data analysis ; Biodiversity ; Forests / South Asia / Emerald Isles / Andaman Island / Nicobar Island / Baratang Islands
(Location: IWMI HQ Call no: e-copy only Record No: H044341)
(0.21 MB)
18 Kuppannan, Palanisami; Ranganathan, C. R.; Umetsu, C. 2011. Groundwater over-exploitation and efficiency in crop production: application of data envelopment analysis. Journal of Applied Operational Research, 3(1):13-22.
Groundwater extraction ; Resource depletion ; Crop production ; Efficiency ; Data analysis ; Water scarcity ; Wells ; Irrigation ; Farms ; Farmers / South India / Tamil Nadu
(Location: IWMI HQ Call no: e-copy only Record No: H044494)
(0.11 MB)
Groundwater over-exploitation and well failure are common in hard rock regions of south India. Groundwater scarcity influenced the farm input use and overall farm level technical efficiency. Data Envelopment Analysis (DEA) has been used to quantify the level of technical efficiency in different groundwater extraction regions of Coimbatore district of Tamil Nadu state, India. The average technical efficiency had varied from 95.55 percent in more exploited (critical) regions to 82.93 percent in less exploited (safe) regions. The scale efficiency has indicated that input use was close to the optimum level in groundwater more exploited regions compared to less exploited regions. The results had indicated that there is further scope to increase the technical efficiency among the farm groups within each groundwater extracting regions. The recommendations include adoption of a crop pattern with minimum crop failure and introduction of regular farm educational programs as well as participatory crop management programs for better use of the resources.
19 Thornton, P. K.; Jones, P. G.; Owiyo, T.; Kruska, R. L.; Herrero, M.; Kristjanson, P.; Notenbaert, A.; Bekele, N.; Omolo, A. 2006. Mapping climate vulnerability and poverty in Africa. Report to the Department for International Development submitted by ILRI. Nairobi, Kenya: International Livestock Research Institute (ILRI). 198p.
Climate change ; Mapping ; Data analysis ; Surveys ; Households ; Poverty ; Indicators ; Institutions ; Rain ; Case studies / Africa / Africa South of Sahara
(Location: IWMI HQ Call no: 551.6 G100 THO Record No: H044521)
http://mahider.ilri.org/bitstream/handle/10568/2307/Mapping_Vuln_Africa.pdf?sequence=1
https://vlibrary.iwmi.org/pdf/H044521.pdf
https://vlibrary.iwmi.org/pdf/H044521.pdf
(2.24 MB) (2.24MB)
20 Thenkabail, P. S.; Lyon, J. G.; Huete, A. (Eds.) 2012. Hyperspectral remote sensing of vegetation. Boca Raton, FL, USA: CRC Press. 705p.
Remote sensing ; Vegetation ; Indicators ; Multispectral imagery ; Satellite observation ; Satellite imagery ; Image analysis ; Data processing ; Data analysis ; Algorithms ; Models ; Sensors ; Water use ; Agriculture ; Crop management ; Cereal crops ; Cotton ; Botany ; Tissue analysis ; Nitrogen content ; Moisture content ; Plant diseases ; Pastures ; Indicator plants ; Species ; Canopy ; Forest management ; Tropical forests ; Wetlands ; Ecosystems ; Soil properties ; Land cover ; Reflectance
(Location: IWMI HQ Call no: 621.3678 G000 THE Record No: H044548)
(0.54 MB)
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