Your search found 269 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)
(Location: IWMI-HQ Call no: 333.73 G000 JOH Record No: H06460)
2 Grillas, P.; Roché, J. 1997. Vegetation of temporary marshes. Arles, France: Tour du Valat. 86p. (Conservation of Mediterranean wetlands – MedWet no.8)
(Location: IWMI-HQ Call no: 333.91 GGG20 GRI Record No: H037348)
(Location: IWMI-HQ Call no: IWMI 551.483 G784 ILL Record No: H037947)
(6.54 MB) (6.5MB)
4 Illaszewicz, J.; Tharme, Rebecca; Smakhtin, Vladimir; Dore, J. (Eds.) 2005. Dong chay moi truong: Danh gia nhanh Dong chay moi truong cho luru vuc song Huong, mien Trung Viet Nam. In Vietnamese. [Environmental flows: rapid environmental flow assessment for the Huong River Basin, Central Vietnam]. Hanoi, Vietnam: International Union for Conservation of Nature (IUCN). ix, 81p.
(Location: IWMI-HQ Call no: IWMI 551.483 G784 ILL Record No: H037948)
(6.54 MB) (6.53 MB)
5 Zwarts, L.; van Beukering, P.; Kone, B.; Wymenga, E. (Eds.) 2005. The Niger, a lifeline: Effective water management in the Upper Niger Basin. Lelystad, Netherlands; Sévaré, Mali; Amsterdam, Netherlands; Veenwouden, Netherlands: RIZA; Wetlands International (WIS); Institute for Environmental Studies (IVM); Altenburg & Wymenga Ecological Consultants (A&W) 304p.
(Location: IWMI-HQ Call no: 333.91 G100 ZWA Record No: H038324)
(Location: IWMI-HQ Call no: P 7499 Record No: H038365)
(Location: IWMI-HQ Call no: 333.9516 G744 EKA Record No: H038375)
(Location: IWMI-HQ Call no: 333.9516 G744 PER Record No: H039005)
(21.60 MB)
9 Finlayson, Max. 1991. Production and major nutrient composition of three grass species on the Magela floodplain, Northern Territory, Australia. Aquatic Botany, 41: 263-280.
(Location: IWMI-HQ Call no: P 7736 Record No: H039686)
(Location: IWMI-HQ Call no: P 7738 Record No: H039688)
(Location: IWMI-HQ Call no: P 7740 Record No: H039690)
12 Zomer, Robert; Trabucco, Antonio; Ustin, S. L. 2006. Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing. In Proceedings, GlobWetland: Looking at Wetlands from Space, Frascati, Italy, 19-20 October 2006. 6p.
(Location: IWMI-HQ Call no: IWMI 333.918 G000 ZOM Record No: H039729)
13 Finlayson, Max; Lowry, J.; Bellio, Maria Grazia; Nou, S.; Pidgeon, R.; Walden, D.; Humphrey, C.; Fox, G. 2006. Biodiversity of the wetlands of the Kakadu Region, northern Australia. Aquatic Sciences, 68:374-399.
(Location: IWMI-HQ Call no: IWMI 333.95288 G922 FIN Record No: H039732)
14 Rosenqvist, A.; Finlayson, Max; Lowry, J.; Taylor, D. 2007. The potential of long-wavelength satellite-borne radar to support implementation of the Ramsar Wetlands Convention. Aquatic Conservation: Marine and Freshwater Ecosystems, 17:229-244.
(Location: IWMI HQ Call no: IWMI 333.918 G000 ROS Record No: H039956)
(Location: IWMI HQ Call no: P 7856 Record No: H039962)
(Location: IWMI HQ Call no: 333.9162 G178 BIR Record No: H040402)
(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.
18 Orange, Didier; Phan, Ha Hai An; Lequeux, Brice; Henry des Tureaux, Thierry; Pham, Van Rinh; Toan, T. D. 2007. Charges de fond et suspensions transportees par les eaux d’ecoulement dans un petit bassin versant agricole sur pentes dans le Nord Vietnam. Gestion integree des eaux et des sols : ressources, amenagements et risques en milieux ruraux et urbains, Editions AUF et IRD, Hanoi, Actes des Premieres Journees Scientifiques Inter- Reseaux de l’AUF, Hanoi, 6-9 novembre 2007; Paper presented at Conference, Integrated Management of Waters and Soils: resources, infrastructures and risks in rural and urban areas, Hanoi, Vietnam, 6-9 November 2007. 6p.
(Location: IWMI HQ Call no: 333.91 G784 ORA Record No: H040807)
A small agricultural watershed on sloping lands (around 50 ha) in Northern Vietnam is equipped with 5 runoff measurement stations named weir. Each weir is representative of one vegetation cover (forest, fodder, cassava and old fallow). There is no relationship between bed load and rainfall amount due to a threshold process, but it is directly linked to the vegetation cover. In 2006, bed load losses are quite much important on the cassava crop (879 kg/ha/yr) than at the other weirs: 131 kg/ha/yr for old fallow, 83 kg/ha/yr for pluriannual plantation and 52 kg/ha/yr for forest. From some event measurements, the mean suspended load during the rising peak was a range 0.4-2.9 g/l with a SM peak around 3 to 8 g/l; the suspended load during the base flow was around 10-20 mg/l. It is impossible to predict the SM load with the discharge. For each weir, the best correlation is between SM load and Rindex emphasizing the duration and the amount of the rain event. The calculation of suspended load confirms the soil loss by suspended load is much more important than by bed load, even if the 95% of suspended load occurs during the peak events. On the whole watershed, the erosion amount by suspended load is 1.2 t/ha for 0.6 t/ha for bed load. More trees are in the basin, less is the suspended load; and at the opposite, the agricultural practices increase the amount of suspended load.
19 Montgomery, D. R.; Bolton, S. M. 2003. Hydrogeomorphic variability and river restoration. In Wissmar, R. C.; Bisson, P. A. (Eds.). Strategies for restoring river ecosystems: sources of variability and uncertainty in natural and managed systems. Bethesda, MD, USA: American Fisheries Society. pp.39-80.
(Location: IWMI-HQ Call no: 333.9162153 G430 WIS Record No: H040912)
(Location: IWMI HQ Call no: IWMI 631.4 G784 POD Record No: H041496)
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