Your search found 256 records
1 Johnson, R. M.; Barson, M. M. 1990. An assessment of the use of remote sensing techniques in land degradation studies. Canberra, Australia: Department of Primary Industries and Energy. Bureau of Rural Resources. viii, 64p. (Bureau of Rural Resources bulletin no.5)
Remote sensing ; Techniques ; Sensors ; Land degradation ; Land cover ; Surveys ; Indicators ; Erosion ; Soils ; Mapping ; Salinity ; Vegetation / Australia
(Location: IWMI-HQ Call no: 333.73 G000 JOH Record No: H06460)
2 Asian Association on Remote Sensing. Land Cover Working Group. 2005. AARS global 4-minute land cover data set with ground truth information. Chiba, Japan: Chiba University. CEReS. 1 CD.
(Location: IWMI-HQ Call no: CD Col Record No: H036940)
3 Lativovic, R.; Zhu, Z. L.; Cihlar, J.; Giri, C.; Olthof, I. 2004. Land cover mapping of North and Central America: Global land cover 2000. Remote Sensing of Environment, 89:116-127.
(Location: IWMI-HQ Call no: P 7622 Record No: H039329)
4 Sedano, F.; Gong, P.; Ferrao, M. 2005. Land cover assessment with MODIS imagery in Southern African Miombo ecosystems. Remote Sensing of Environment, 98:429-441.
Remote sensing ; Land cover ; Land use ; Mapping / Africa / Mozambique / Zambezia Province / Miombo Woodlands
(Location: IWMI-HQ Call no: P 7623 Record No: H039330)
5 Cohen, W. B.; Maiersperger, T. K.; Yang, Z.; Gower, S. T.; Turner, D. P.; Ritts, W. D.; Berterretche, M.; Running, S. W. 2003. Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: A quality assessment of 2000/2001 provisional MODIS products. Remote Sensing of Environment, 88:233-255.
(Location: IWMI-HQ Call no: P 7625 Record No: H039332)
6 Turner, D. P.; Ritts, W. D.; Cohen, W. B.; Gower, S. T.; Zhao, M.; Running, S. W.; Wofsy, S. C.; Urbanski, S.; Dunn, A. L.; Munger, J. W. 2003. Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation. Remote Sensing of Environment, 88:256-270.
(Location: IWMI-HQ Call no: P 7626 Record No: H039333)
7 Friedl, M. A.; McIver, D. K.; Hodges, J. C. F.; Zhang, X. Y.; Muchoney, D.; Strahler, A. H.; Woodcock, C. E.; Gopal, S.; Schneider, A.; Cooper, A.; Baccini, A.; Gao, F.; Schaaf, C. 2002. Global land cover mapping from MODIS: Algorithms and early results. Remote Sensing of Environment, 83:287-302.
(Location: IWMI-HQ Call no: P 7628 Record No: H039335)
8 Huang, C.; Townshend, J. R. G.; Liang, S.; Kalluri, S. N. V.; DeFries, R. S. 2002. Impact of sensor’s point spread function on land cover characterization: Assessment and deconvolution. Remote Sensing of Environment, 80:203-212.
(Location: IWMI-HQ Call no: P 7629 Record No: H039336)
9 Thenkabail, Prasad; Gangadhara Rao, P.; Biggs, Trent; Krishna, M.; Turral, Hugh. 2007. Spectral matching techniques to determine historical land use/Land cover (LULC) and irrigated areas using time-series 0.1 degree AVHRR Pathfinder Datasets. Photogrammetric Engineering & Remote Sensing, 73(9):1029-1040.
Land use ; Land cover ; Irrigated land ; Time series analysis ; Remote sensing ; Mapping / India / Krishna River Basin
(Location: IWMI-HQ Call no: IWMI 631.7.1.1 G635 THE Record No: H039380)
10 Woyessa, Y. E.; Pretorius, E.; van Heerden, P. S.; Hensley, M.; van Rensburg, L. D. 2006. Impact of land use on river basin water balance: a case study of the Modder River Basin, South Africa. Colombo, Sri Lanka: International Water Management Institute (IWMI), Comprehensive Assessment Secretariat. 31p. (Comprehensive Assessment of Water Management in Agriculture Research Report 012) [doi: https://doi.org/10.3910/2009.381]
Water resource management ; River basins ; Climate ; Land cover ; Land use ; Runoff ; Water harvesting ; Farmers’ attitudes ; Crop production / South Africa / Modder River Basin
(Location: IWMI-HQ Call no: IWMI 333.91 G178 WOY Record No: H039454)
(947.4 KB)
11 Kashaigili, J. J.; McCartney, Matthew; Mahoo, H. F.; Lankford, B. A.; Mbilinyi, B. P.; Yawson, D. K.; Tumbo, S. D. 2006. Use of a hydrological model for environmental management of the Usangu Wetlands, Tanzania. Colombo, Sri Lanka: International Water Management Institute (IWMI). 39p. (IWMI Research Report 104) [doi: https://doi.org/10.3910/2009.104]
Wetlands ; Rivers ; Ecology ; Environmental effects ; Remote sensing ; Hydrology ; Simulation models ; Water budget ; Irrigated sites ; Land cover ; Time series analysis / Tanzania / Usangu Wetlands / Great Ruaha River
(Location: IWMI-HQ Call no: IWMI 333.91 G148 KAS Record No: H039649)
(852KB)
This report presents the findings of a study to assess changes to flows into, and downstream of, the Usangu Wetlands, located in the headwaters of the Great Ruaha River, Tanzania. Hydrological data, in conjunction with remote sensing techniques, were used to provide insights into changes that have occurred to the Eastern Wetland. Results indicate that, between 1958 and 2004, inflows to the wetland declined by about 70 percent in the dry season months (July to November) as a consequence of increased human withdrawals, primarily for irrigation.
12 Shilpakar, R. L. 2003. Geo-information procedure for water accounting: A case of the East Rapti River Basin, Nepal. Enschede, Netherlands: International Institute for Geo-Information Science and Earth Observation. 59p. + appendices.
River basins ; Climate ; Evapotranspiration ; Remote sensing ; Satellite surveys ; Models ; Rain ; Land cover / Nepal
(Location: IWMI HQ Call no: D 577.64 G726 SHI Record No: H040290)
13 Rebelo, Lisa-Maria; McCartney, Matthew; Finlayson, Max. 2007. Characterization of two large inland wetlands in Southern Africa. WARFSA/WaterNet Symposium, Lusaka, Zambia, 31 October - 2 November 2007. 8p.
Wetlands ; Ecosystems ; Vegetation ; Land cover ; Remote sensing ; GIS / Southern Africa / Africa South of Sahara / Malawi / Zambia / Lake Chilwa / Lukanga Swamp
(Location: IWMI HQ Call no: IWMI 333.918 G154 REB Record No: H040789)
As wetlands in sub-Saharan Africa often play a vital role in supporting the livelihood and well-being of rural populations their sustainable management is critical. In many instances however, sustainable management of these ecosystems is hindered by a lack of information. For large, inaccessible wetlands Earth Observation data may provide the only practical means of obtaining this information, especially for mapping and monitoring spatial and temporal characteristics. These issues have been addressed at priority wetland sites, vulnerable to both climatic variability and agricultural activities (both subsistence and commercial) n eight countries in southern Africa; here we report outcomes from two of the larger wetlands where increased population pressure and exploitation of resources within the wetlands and the surrounding catchments are leading to serious degradation and loss of biodiversity and inter-linked ecosystem services. A combination of GPS, GIS, aerial photographs and satellite remote sensing data at multiple scales, as well as ground based information, were used to describe the ecological characteristics of these sites, and to map the spatial distribution of the major land cover types. The maps provide information which can be used to assist managers in making decisions about future land uses in wetlands that are intensively used for agriculture and fisheries. The land cover and land use analyses will also provide the basis for livelihood assessments and management interventions.
14 Gunawardena, G. M. W. L.; Dissanayake, D. M. D. O. K.; Prasad, V. H. 2005. Effect of soil and water conservation measures on land use/land cover in Karso Watershed. In De Silva, R. P. (Ed.). Geo-information for future of Sri Lanka: proceedings of the Second National Symposium on Geo-Informatics, 26 August 2005. Peradeniya, Sri Lanka: Geo-Informatics Society of Sri Lanka (GISSL) pp.131-144.
Soil conservation ; Water conservation ; Land use ; Land cover ; Land degradation ; Erosion ; Remote sensing ; Maps ; Villages / India / Karso Watershed / Hazaribagh District
(Location: IWMI HQ Call no: 526.0285 G744 DES Record No: H040869)
15 De Silva, R. P. (Ed.) 2005. Sweden international training course on remote sensing education for educators, decadal proceedings 1990-2004: a collection of selected papers submitted by former participants. Peradeniya, Sri Lanka: Geo Informatics Society of Sri Lanka (GISSL) 116p.
GIS ; Remote sensing ; Habitats ; Mapping ; Rivers ; Ecosystems ; Soil fertility ; Groundwater recharge ; Land use ; Land cover / Nepal / Thailand / Sri Lanka / Vietnam / Chitwan District / Narayani River / Horton Plains / Deduru Oya / Uma Oya / Suoi Muoi Catchment
(Location: IWMI HQ Call no: 526.0285 G570 DES Record No: H040875)
16 Batra, N; Yang, Y. C. E.; Choi, H. I.; Kumar, P.; Cai, X.; de Fraiture, Charlotte. 2008. Understanding hydrological cycle dynamics due to changing land use and land cover: Congo Basin study. In IEEE International Geoscience and Remote Sensing Symposium, Boston, Massachusetts, USA, 6-11 July 2008. Los Alamitos, CA, USA: IEEE Publications Office. Vol. 5. pp.V491-V494.
Remote sensing ; Simulation models ; Hydrology ; GIS ; Land use ; Land cover ; River basins ; Forests ; Case studies ; Water balance ; Precipitation ; Evapotranspiration ; Runoff / Africa / Congo River Basin / Congo Forest
(Location: IWMI HQ Call no: e-copy only Record No: H042121)
(0.29 MB)
Land use and land cover changes (LULCC) significantly modify the hydrological flow regime of the watersheds, affecting water resources and environment from regional to global scale. In recent years, with an increased number of launched satellites, regular updates of land-cover databases are available. This study seeks to advance and integrate water and energy cycle observation, scientific understanding, and its prediction to enable society to cope with future climate adversities due to LULCC. We use the Common Land Model [1] which is developed with enhanced spatial and temporal resolution, physical complexity, hydrologic theory and processes to quantify the impact of LULCC on hydrological cycle dynamics. A consistent global GIS-based dataset is constructed for the surface boundary conditions of the model from existing observational datasets available in various resolutions, map projections and data formats. Incorporation of the projected LULCC of Intergovernmental Panel on Climate Change (IPCC) A1B scenario [2] into our hydrologic model enhances scientific understanding of LULCC impact on the seasonal hydrological dynamics. An interesting case study is addressed over the Congo basin located in the western central Africa which has the second largest rain forest area in the world. It is surrounded by plateaus merging into savannas in the south, mountainous terraces and grassland in the west and mountainous glaciers in the east. Savanna and Evergreen Broadleaf forest are projected to be cleared off in places to be replaced by dryland, cropland and pasture. By 2100, there would be a 10% decrease in savanna and 2% decrease in evergreen forest under A1B scenario of IPCC. Each land cover class has a particular set of characteristics defined in the model and any change in land cover type changes the vegetation properties, rooting depth, roughness length, etc. which results in a change of energy and water fluxes. Deforestation of evergreen forests and intense land clearing of savanna leads to reduction in evapotranspiration. Model results show that the gain in runoff follows the pattern of loss in evapotranspiration.
17 Latiri, K.; Gana, A.; Shideed, K.; Albergel, J.; Grando, S.; Kaya, Y.; Panhwar, F.; Qadir, Manzoor; Tan, A. 2009. Historical and current perspectives of AKST. In McIntyre, B. D.; Herren, H. R.; Wakhungu, J.; Watson, R. T. (Eds.). Agriculture at a crossroads: IAASTD-CWANA report. Vol.1. Washington, DC, USA: Island Press. pp.27-82.
Land use ; Land cover ; Agricultural production ; Crop production ; Livestock ; Case studies ; Water resources development ; Water resource management ; Dams ; Water harvesting ; Irrigation ; Land degradation ; Water quality ; Agrobiodiversity ; Agricultural policy ; Land tenure ; Trade policy ; Risk management ; Farm income ; Drought ; Environmental policy ; Labor ; Technology transfer ; Women
(Location: IWMI HQ Call no: e-copy only Record No: H042165)
(0.70 MB)
18 Gumma, Murali Krishna; Thenkabail, P. S.; Velpuri, N. M. 2009. Vegetation phenology to partition groundwater- from surface water-irrigated areas using MODIS 250-m time-series data for the Krishna River basin. In Bloschl, G.; van de Giesen, N.; Muralidharan, D.; Ren, L.; Seyler, F.; Sharma, U.; Vrba, J. (Eds.). Improving integrated surface and groundwater resources management in a vulnerable and changing world: proceedings of Symposium JS.3 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH), Hyderabad, India, 6-12 September 2009. Wallingford, UK: International Association of Hydrological Sciences (IAHS) pp.271-281. (IAHS Publication 330)
Vegetation ; Phenology ; River basins ; Vegetation ; Maps ; Land cover ; Land use ; Groundwater irrigation ; Surface irrigation ; Canals ; Reservoirs ; Irrigated land ; Time series analysis ; Remote sensing / India / Krishna River basin
(Location: IWMI HQ Call no: e-copy only Record No: H042217)
(1.15 MB)
This paper describes a remote sensing based vegetation-phenology approach to accurately separate out and quantify groundwater irrigated areas from surface-water irrigated areas in the Krishna River basin (265 752 km2), India, using MODIS 250-m every 8-day near continuous time series for 2000–2001. Temporal variations in the Normalized Difference Vegetation Index (NDVI) pattern, depicting phenology, obtained for the irrigated classes enabled demarcation between: (a) irrigated surface-water double crop, (b) irrigated surface-water continuous crop, and (c) irrigated groundwater mixed crops. The NDVI patterns were found to be more consistent in areas irrigated with groundwater due to the continuity of water supply. Surface water availability, however, was dependent on canal water release that affected time of crop sowing and growth stages, which was in turn reflected in the NDVI pattern. Double-cropped (IDBL) and light irrigation (IL) have relatively late onset of greenness, because they use canal water from reservoirs that drain large catchments and take weeks to fill. Minor irrigation and groundwater-irrigated areas have early onset of greenness because they drain smaller catchments where aquifers and reservoirs fill more quickly. Vegetation phonologies of nine distinct classes consisting of irrigated, rainfed, and other land-use classes were derived using MODIS 250-m near continuous time-series data that were tested and verified using groundtruth data, Google Earth very high resolution (sub-metre to 4 m) imagery, and state-level census data. Fuzzy classification accuracies for most classes were around 80% with class mixing mainly between various irrigated classes. The areas estimated from MODIS were highly correlated with census data (R-squared value of 0.86).
19 Nagabhatla, Nidhi; Finlayson, Max; Senaratna Sellamuttu, Sonali. 2009. Spatial dynamics versus social dynamics: understanding trade offs in ecological and socio-economic systems. In Malhotra, G. (Ed.). Environmental growth: a global perspective. New Delhi, India: Macmillan. pp.16-31.
Wetlands ; Lagoons ; Marshes ; Ecology ; Land cover ; Environmental effects ; Surveys / Sri Lanka / Muthurajawela Marsh / Negombo Lagoon
(Location: IWMI HQ Call no: e-copy only Record No: H042398)
(2.28 MB)
20 Yilma, Aster Denekew; Awulachew, Seleshi Bekele. 2009. Characterization and atlas of the Blue Nile Basin and its sub basins. In Awulachew, Seleshi Bekele; Erkossa, Teklu; Smakhtin, Vladimir; Fernando, Ashra (Comps.). Improved water and land management in the Ethiopian highlands: its impact on downstream stakeholders dependent on the Blue Nile. Intermediate Results Dissemination Workshop held at the International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia, 5-6 February 2009. Summary report, abstracts of papers with proceedings on CD-ROM. Colombo, Sri Lanka: International Water Management Institute (IWMI). 236p.
Maps ; River basins ; Watersheds ; Topography ; Climate ; Evapotranspiration ; Rain ; Evaporation ; Hydrology ; Land cover ; Meteorology ; Population / Africa / Ethiopia / Sudan / Blue Nile River Basin / Abbay Basin / Tana Sub Basin / Jemma Sub Basin / Muger Sub Basin / Guder Sub Basin / Beles Sub Basin / Dabus Sub Basin / Didessa Sub Basin / Fincha Sub Basin / Anger Sub Basin / Wenbera Sub Basin / Beshelo Sub Basin / Welaka Sub Basin / North Gojam Sub Basin / South Gojam Sub Basin / Dinder Sub Basin / Rahad Sub Basin / Gilgel Abay Watershed / Gumera Watershed / Anjeni Micro Watershed / Andit Micro Watershed
(Location: IWMI HQ Call no: IWMI 333.9162 G100 AWU Record No: H042502)
(57.34 MB)
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