Your search found 125 records
1 Melesse, A. M. (Ed.) 2011. Nile river basin: hydrology, climate and water use. Dordrecht, Netherlands: Springer. 419p.
Water management ; Water resources development ; River basin management ; Hydrology ; Water use ; Climate change ; Land use ; Land cover ; Rainfall-runoff relationships ; Lakes ; Hydrometeorology ; Simulation models ; Water budget ; Water balance ; Water demand ; Water quality ; Water availability ; Water allocation ; GIS ; Remote sensing ; Satellite observation ; Watersheds ; Evapotranspiration ; Flooding ; Erosion ; Mapping ; Livestock ; Water productivity ; Water power ; Environmental flows ; Soil salinity ; Irrigation schemes / Ethiopia / Nile River Basin / Atbara Sub Basin / Fogera Floodplain / Lake Tana / Mara River Basin
(Location: IWMI HQ Call no: 551.483 G136 MEL Record No: H044019)
2 Rientjes, T. H. M.; Haile, A. T.; Gieske, A. S. M.; Maathuis, B. H. P.; Habib, E. 2011. Satellite based cloud detection and rainfall estimation in the Upper Blue Nile Basin. In Melesse, A. M. (Ed.). Nile River Basin: hydrology, climate and water use. Dordrecht, Netherlands: Springer. pp.93-107.
Remote sensing ; Satellite observation ; Clouds ; Rain ; Estimation ; River basins / Ethiopia / Lake Tana / Upper Blue Nile River Basin
(Location: IWMI HQ Call no: 551.483 G136 MEL Record No: H044024)
3 Dinku, T.; Connor, S.; Ceccato, P. 2011. Evaluation of satellite rainfall estimates and gridded gauge products over the Upper Blue Nile Region. In Melesse, A. M. (Ed.). Nile River Basin: hydrology, climate and water use. Dordrecht, Netherlands: Springer. pp.93-107.
(Location: IWMI HQ Call no: 551.483 G136 MEL Record No: H044025)
4 Bitew, M. M.; Gebremichael, M. 2011. Are satellite-gauge rainfall products better than satellite-only products for Nile hydrology. In Melesse, A. M. (Ed.). Nile River Basin: hydrology, climate and water use. Dordrecht, Netherlands: Springer. pp.129-141.
Remote sensing ; Satellite observation ; Rain ; Hydrology ; River basins ; Simulation models ; Calibration ; Watersheds / Ethiopia / Nile River Basin / Koga Watershed / Gilgel Abay Watershed
(Location: IWMI HQ Call no: 551.483 G136 MEL Record No: H044026)
5 Gunawardena, S.; Karunaweera, N. D.; Ferreira, M. U.; Phone-Kyaw, M.; Pollack, R. J.; Alifrangis, M.; Rajakaruna, R. S.; Konradsen, F.; Amerasinghe, Priyanie H.; Schousboe, M. L.; Galappaththy, G. N. L.; Abeyasinghe, R. R.; Hartl, D. L.; Wirth, D. F. 2010. Geographic structure of Plasmodium vivax: microsatellite analysis of parasite populations from Sri Lanka, Myanmar, and Ethiopia. American Journal of Tropical Medicine and Hygiene, 82(2):235-242. [doi: https://doi.org/10.4269/ajtmh.2010.09-0588]
Genetic variation ; Plasmodium vivax ; Parasites ; Public health ; Waterborne diseases ; Malaria ; Satellite observation ; Analysis / Sri Lanka / Myanmar / Ethiopia
(Location: IWMI HQ Call no: e-copy only Record No: H044535)
(1.07 MB) (1.07MB)
Genetic diversity and population structure of Plasmodium vivax parasites can predict the origin and spread of novel variants within a population enabling population specific malaria control measures. We analyzed the genetic diversity and population structure of 425 P. vivax isolates from Sri Lanka, Myanmar, and Ethiopia using 12 trinucleotide and tetranucleotide microsatellite markers. All three parasite populations were highly polymorphic with 3–44 alleles per locus. Approximately 65% were multiple-clone infections. Mean genetic diversity ( H E ) was 0.7517 in Ethiopia, 0.8450 in Myanmar, and 0.8610 in Sri Lanka. Significant linkage disequilibrium was maintained. Population structure showed two clusters (Asian and African) according to geography and ancestry. Strong clustering of outbreak isolates from Sri Lanka and Ethiopia was observed. Predictive power of ancestry using two-thirds of the isolates as a model identified 78.2% of isolates accurately as being African or Asian. Microsatellite analysis is a useful tool for mapping short-term outbreaks of malaria and for predicting ancestry.
6 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)
7 Amarnath, Giriraj; Sharma, Bharat. 2013. Manual of the Training on Application of Remote Sensing and GIS in Flood Inundation Mapping for Spate Irrigation Assessment in Sudan, jointly organized by IWMI, the Hydraulic Research Institute (HRS), Sudan, and the International Fund for Agricultural Development (IFAD), held at Wad Medani, Sudan, 15-17 January 2013. Colombo, Sri Lanka: International Water Management Institute (IWMI). 96p.
Training materials ; Remote sensing ; Image processing ; Radar ; GIS ; History ; Flooding ; Mapping ; Spate irrigation ; Assessment ; Institutions ; Data storage ; Data analysis ; Satellite observation
(Location: IWMI HQ Call no: e-copy only Record No: H045698)
(3.34 MB)
8 Karimi, Poolad. 2014. Water accounting plus for water resources reporting and river planning. [PhD thesis funded by IWMI through the CGIAR Research Programme on Water Land and Ecosystems] Delft, Netherlands: Delf University of Technology. 158p. [doi: https://doi.org/10.4233/uuid:3e51a4d9-bfd8-49c0-8100-73fb46bdebc2]
Water accounting ; Water resources ; Water use ; River basins ; Evapotranspiration ; Indicators ; Precipitation ; Remote sensing ; Rain ; Spatial distribution ; Data ; Land use ; Land cover ; Biomass ; Groundwater ; Water storage ; Hydrology ; Satellite observation ; Measurement ; Case studies / Pakistan / Ethiopia / Indus Basin / Awash Basin
(Location: IWMI HQ Call no: IWMI Record No: H046456)
http://repository.tudelft.nl/assets/uuid:3e51a4d9-bfd8-49c0-8100-73fb46bdebc2/Poolad_KARIMI_PhD_Thesis.pdf
https://vlibrary.iwmi.org/pdf/H046456.pdf
https://vlibrary.iwmi.org/pdf/H046456.pdf
(11.93 MB) (11.93 MB)
9 Karimi, Poolad. 2014. Water accounting plus for water resources reporting and river planning. [PhD thesis funded by IWMI through the CGIAR Research Programme on Water Land and Ecosystems] Delft, Netherlands: Delf University of Technology. 158p.
Water accounting ; Water resources ; Water use ; River basins ; Evapotranspiration ; Indicators ; Precipitation ; Remote sensing ; Rain ; Spatial distribution ; Data ; Land use ; Land cover ; Biomass ; Groundwater ; Water storage ; Hydrology ; Satellite observation ; Measurement ; Case studies / Pakistan / Ethiopia / Indus Basin / Awash Basin
(Location: IWMI HQ Call no: IWMI c2 Record No: H046457)
(11.93 MB)
10 Petropoulos, G. P. 2014. Remote sensing of energy fluxes and soil moisture content. Boca Raton, FL, USA: CRC Press. 506p.
Remote sensing ; Energy balance ; Soil moisture ; Soil properties ; Hydrology ; Models ; Climate change ; Heat ; Flooding ; Agroecosystems ; Spatial distribution ; Evapotranspiration ; Radar ; Satellite observation ; Environmental factors ; Land use ; Vegetation ; Measurement ; Case studies ; Solar radiation ; Water balance / Brazil
(Location: IWMI HQ Call no: 551.52530287 G000 PET Record No: H046471)
(0.44 MB)
11 Sood, Aditya; Smakhtin, Vladimir. 2015. Global hydrological models : a review. Hydrological Sciences Journal, 60(4):549-565. [doi: https://doi.org/10.1080/02626667.2014.950580]
Hydrology ; Models ; Remote sensing ; Water storage ; Vegetation ; Soil moisture ; Climate change ; Evapotranspiration ; Precipitation ; Calibration ; Satellite observation
(Location: IWMI HQ Call no: e-copy only Record No: H046576)
(1.04 MB)
Global Hydrological Models (GHMs) have effectively become a separate research field in the last two decades. The paper reviews and compares 12 known global modeling efforts since 1989, the year the first GHM was published. Structure, strengths and weaknesses of individual models are examined, and the objectives of model development and their initial applications are documented. Issues such as model uncertainty, data scarcity, integration with remote sensing data and spatial resolution are discussed.
12 Bloschl, G.; Franks, S.; Kumagai, M.; Musiake, K.; Rosbjerg, D. (Eds.) 2003. Water resources systems: hydrological risk, management and development. Proceedings of an International Symposium (HS02b) held during the 23rd General Assembly of the International Union of Geodesy and Geophysics (IUGG 2003), Sapporo, Japan, 30 June-11 July 2003. Wallingford, UK: International Association of Hydrological Sciences (IAHS). 366p. (IAHS Publication 281)
Water resources ; Hydrology ; Climate change ; Flood control ; Drought ; Precipitation ; Runoff ; Weather forecasting ; Risk assessment ; Decision support systems ; Ecosystems ; Environmental effects ; Reservoir operation ; Water allocation ; Water supply ; Water policy ; Water management ; Water conservation ; Soil conservation ; Models ; Irrigation ; Water availability ; Water use ; Groundwater ; Water storage ; Flow discharge ; Rivers ; Catchment areas ; Sustainability ; Economic aspects ; Population growth ; Satellite observation ; Infiltration ; Case studies / Central Europe / Ukraine / Israel / Ethiopia / Pakistan / China / Vietnam / Taiwan / Romania / Thailand / India / Indonesia / Palestine / Nigeria / Slovenia / Northeast India / Tisza River / Blue Nile River / Yangtze River / Red River Basin / Chao Phraya River / Lake Rawa Dano / West Java / Gurara River / Kaduna River / Shiroro Dam / Benin-Owena River Basin / St. Petersburg / Dragonja Catchment
(Location: IWMI HQ Call no: 333.91 G000 BLO Record No: H046619)
(0.42 MB)
13 Wagener, T.; Franks, S.; Gupta, H. V.; Bogh, E.; Bastidas, L.; Nobre, C.; de Oliverira Galvao, C. (Eds.) 2005. Regional hydrological impacts of climatic change: impact assessment and decision making. Proceedings of the International Symposium on Regional Hydrological Impacts of Climate Variability and Change with an Emphasis on Less Developed Countries (S6) held during the 7th Scientific Assembly of the International Association of Hydrological Sciences (IAHS), Foz do Iguaco, Brazil, 3-9 April 2005. Part 1. Wallingford, UK: International Association of Hydrological Sciences (IAHS). 356p. (IAHS Publication 295)
Climate change ; Hydrological factors ; Impact assessment ; Decision making ; Agricultural development ; River basins ; Water resources ; Water management ; Coastal area ; Stream flow ; Catchment areas ; Semiarid climate ; Lakes ; Population growth ; Air pollution ; Land cover change ; Hydroelectric schemes ; Flooding ; Evapotranspiration ; Watersheds ; GIS ; Arid zones ; Semiarid zones ; Sea water ; Water temperature ; Alluvial aquifers ; Models ; Satellite observation ; Forecasting ; Afforestation ; El Nino-Southern Oscillation ; Case studies / South America / North America / Europe / Africa / Asia / Brazil / Argentina / USA / Greece / Balkan Peninsula / West Africa / Benin / Cameroon / Lebanon / Nepal / Pakistan / India / China / Western Australia / Northeast Brazil / Trinidad / Vietnam / Eastern Australia / La Plata Basin / Taquari River Basin / Patagonia / Aliakmon River Basin / Black Sea / Volta Basin / Logone-Chari Plain / Himalayan Basin / Upper Indus Basin / Ganga Basin / Damodar River Basin / Yellow River Basin / Susannah Brook / Nordeste / St. Joseph Watershed / Himalayas / Red River Basin / Indian Ocean
(Location: IWMI HQ Call no: 577.22 G000 WAG Record No: H046622)
(0.44 MB)
14 Amarnath, Giriraj; Alahacoon, Niranga; Inada, Yoshiaki. 2014. Inundations in the Sri Lanka: monitoring and analysis from MODIS [Moderate Resolution Imaging Spectroradiometer] and ALOS [Advanced Land Observing Satellite] instrument. In Sri Lanka. Ministry of Disaster Management. Proceedings of the Disaster Management Conference: The future we want- Safer Sri Lanka, Colombo, Sri Lanka, 24-26 September 2014. Colombo, Sri Lanka: Ministry of Disaster Management. pp.476-478.
Flooding ; Rain ; Satellite imagery ; Satellite observation ; Land cover ; GIS ; Remote sensing ; Case studies / Sri Lanka
(Location: IWMI HQ Call no: e-copy only Record No: H046625)
(0.46 MB)
Sri Lanka is facing severe flood events during monsoon rainfall in each year all over the country. The rapid development of remote sensing and widely available satellite images can be used effectively to map the flood inundation in past years. This study is focused on the mapping of flood inundation together with flood recurrent based on both optical (MODIS) and microwave (ALOS/PALSAR) satellite images. In the first stage MODIS images with spatial resolution of 500m and temporal interval of eight day was used to map flood recurrent areas for risk assessment using images from 2000 to 2011. In the second state 16 satellite images from ALOS PALSAR images between 2006 and 2011 was analyzed by using pixel threshold value to map the flooded and non-flooded areas. The flood recurrent products from both MODIS and PALSAR images were generated to represent the repetition of flood inundated areas. The analysis of the results indicated that the PALSAR image based flood inundation mapping is much accurate and useful in the context of spatial variability than the temporal variability. The accurate land-cover map is also important to assess the flood damages and evaluate the future development and the cultivation planning. But there is no such an accurate and detailed land-cove map available for Sri Lanka to assess the flood damages. Thus, this study was focused on the preparation of land-cover map with GIS and RS approach. The land-cover classification was carried out by image fusion of optical (LANDSAT) and microwave (ALOS/PALSAR) under High Pass Filtering (HPF) technique. Unsupervised image classification method was used to classify the fused image in to different land-cover classes. Accuracy assessment of land-cover classification was conducted using existing ground truth information and Google Earth with as resulted in the overall accuracy as 71.16% and the Kappa statistics as 62.83%.
15 Tahir, A. A.; Chevallier, P.; Arnaud, Y.; Ashraf, M.; Bhatti, Muhammad Tousif. 2015. Snow cover trend and hydrological characteristics of the Astore River basin (Western Himalayas) and its comparison to the Hunza basin (Karakoram region) Science of the Total Environment, 505:748-761. [doi: https://doi.org/10.1016/j.scitotenv.2014.10.065]
Snow cover ; Glaciers ; Snowmelt ; Hydrological regime ; River basins ; Climatic data ; Meteorological stations ; Satellite observation ; Water resources ; Catchment areas / Pakistan / India / Western Himalayas / Karakoram Region / Indus River Basin / Astore River Basin / Hunza Basin
(Location: IWMI HQ Call no: e-copy only Record No: H046709)
(4.13 MB)
A large proportion of Pakistan's irrigation water supply is taken from the Upper Indus River Basin (UIB) in the Himalaya–Karakoram–Hindukush range. More than half of the annual flow in the UIB is contributed by five of its snow and glacier-fed sub-basins including the Astore (Western Himalaya — south latitude of the UIB) and Hunza (Central Karakoram — north latitude of the UIB) River basins. Studying the snow cover, its spatiotemporal change and the hydrological response of these sub-basins is important so as to better managewater resources. This paper compares new data from the Astore River basin (mean catchment elevation, 4100 m above sea level; m asl afterwards), obtained using MODIS satellite snow cover images, with data from a previouslystudied high-altitude basin, the Hunza (mean catchment elevation, 4650 m asl). The hydrological regime of this sub-catchment was analyzed using the hydrological and climate data available at different altitudes from the basin area. The results suggest that the UIB is a region undergoing a stable or slightly increasing trend of snow cover in the southern (Western Himalayas) and northern (Central Karakoram) parts. Discharge from the UIB is a combination of snow and glacier melt with rainfall-runoff at southern part, but snow and glacier melt are dominant at the northern part of the catchment. Similar snow cover trends (stable or slightly increasing) but different river flow trends (increasing in Astore and decreasing in Hunza) suggest a sub-catchment level study of the UIB to understand thoroughly its hydrological behavior for better flood forecasting and water resources management.
16 Chemin, Yann H. 2014. Remote sensing raster programming. 3rd ed. Raleigh, NC, USA: Lulu Press Inc. 111p.
Remote sensing ; Computer programming ; Algorithms ; Satellite observation ; Image processing ; GIS ; Computer software
(Location: IWMI HQ Call no: IWMI Record No: H046885)
(0.87 MB)
17 Ismail-Zadeh, A.; Fucugauchi, J. U.; Kijko, A.; Takeuchi, K.; Zaliapin, I. (Eds.) 2014. Extreme natural hazards, disaster risks and societal implications. Cambridge, UK: Cambridge University Press. 402p. (Special Publications of the International Union of Geodesy and Geophysics Series 1) [doi: https://doi.org/10.1017/CBO9781139523905]
Natural disasters ; Disaster risk management ; Environmental impact assessment ; Climate change ; Early warning systems ; Volcanic eruptions ; Earthquakes ; Landslides ; Hurricanes ; Tsunamis ; Flooding ; Sea level ; Ecosystems ; Models ; Precipitation ; Weather forecasting ; Hydrometeorology ; Geological process ; Satellite observation ; Remote sensing ; Socioeconomic aspects ; Capacity building ; Educational institutions ; Case studies ; Public-private cooperation / South America / Latin America / Africa / Middle East / Africa South of Sahara / Asia Pacific Region / Saudi Arabia / Iran / Thailand / Caribbean / Mexico / Madagascar / Australia / China / Japan / India / Afar Region / Mediterranean Region / Chao Phraya River / Wenchuan / Tohoku
(Location: IWMI HQ Call no: 363.34 G000 ISM Record No: H046897)
(0.51 MB)
18 Fenta, A. A.; Rientjes, T.; Haile, Alemseged Tamiru; Reggiani, P. 2014. Satellite rainfall products and their reliability in the Blue Nile Basin. In Melesse, A. M.; Abtew, W.; Setegn, S. G. (Eds.). Nile river basin: ecohydrological challenges, climate change and hydropolitics. Dordrecht, Netherlands: Springer. pp.51-67.
Satellite observation ; Radar satellite ; Satellite imagery ; Meteorological stations ; River basins ; Rain ; Measurement ; Remote sensing ; GIS ; Precipitation ; Case studies / Ethiopia / Blue Nile Basin
(Location: IWMI HQ Call no: e-copy only Record No: H046898)
(0.37 MB)
In the Upper Blue Nile (UBN) basin, there is very sparse and uneven distribution of ground-based meteorological stations which constrain assessments on rainfall distributions and representation. To assess the diurnal cycle of rainfall across the UBN basin, satellite observations from Tropical Rainfall Measuring Mission (TRMM) were used in this study. Data of 7 years (2002–2008) of Precipitation Radar (PR) and TRMM Microwave Imager (TMI) were processed, with analyses based on geographic information system (GIS) operations, statistical techniques, and harmonic analysis. Diurnal cycle patterns of rainfall occurrence and rain rate from three in-situ weather stations are well represented by the satellite observations. Harmonic analysis depicts large differences in the mean of the diurnal cycle, amplitude, and time of the amplitude across the study area. Diurnal cycle of rainfall occurrence has a single peak in Lake Tana, Gilgel Abbay, and Jemma subbasins and double peaks in Belles, Dabus, and Muger subbasins. Maximum rain rate occurs in the morning (Gilgel Abbay, Dabus, and Jemma), afternoon (Belles, Beshilo, and Muger), and evening (Lake Tana and along the river gorges). Results of this study indicate that satellite observations provide an alternative source of data to characterize diurnal cycle of rainfall in data-scarce regions. We noticed, however, that there are a number of constraints to the use of satellite observations. For more accurate assessments, satellite products require validation by a network of well-distributed ground stations. Also, we advocate bias correction.
19 van Eekelen, M. W.; Bastiaanssen, Wim G. M.; Jarmain, C.; Jackson, B.; Ferreira, F.; van der Zaag, P.; Okello, A. S.; Bosch, J.; Dye, P.; Bastidas-Obando, E.; Dost, R. J. J.; Luxemburg, W. M. J. 2015. A novel approach to estimate direct and indirect water withdrawals from satellite measurements: a case study from the Incomati basin. Agriculture, Ecosystems and Environment, 200:126-142. [doi: https://doi.org/10.1016/j.agee.2014.10.023]
Water resources ; Water use ; Satellite observation ; Measurement ; Mapping ; Estimation ; Stream flow ; Land use ; Wetlands ; Afforestation ; Rain ; Evaporation ; Irrigation water ; Irrigated farming ; Water allocation ; River basins ; Case studies / South Africa / Swaziland / Mozambique / Incomati River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H046891)
http://www.sciencedirect.com/science/article/pii/S0167880914004861/pdfft?md5=c6908de8be95291b7331c9ff266b5eb2&pid=1-s2.0-S0167880914004861-main.pdf
https://vlibrary.iwmi.org/pdf/H046891.pdf
https://vlibrary.iwmi.org/pdf/H046891.pdf
(5.63 MB) (5.63 MB)
The Incomati basin encompasses parts of South Africa, Swaziland and Mozambique, and is a water stressed basin. Equitable allocation of water is crucial to sustain livelihoods and agro-ecosystems, and to sustain international agreements. As compliance monitoring of water distribution by flow meters is laborious, expensive and only partially feasible, a novel approach has been developed to estimate water withdrawals using satellite measurements. Direct withdrawals include pumping from rivers, impoundments and groundwater, for irrigation and other human uses. Indirect withdrawals include evaporation processes from groundwater storage, unconfined shallow aquifers, seepage zones, lakes and reservoirs, and inundations, in addition to evaporation from pristine land surface conditions. Indirect withdrawals intercept lateral flow of water and reduce downstream flow. An innovative approach has been developed that employs three main spatial data layers inferred from satellite measurements: land use, rainfall, and evaporation. The evaporation/rainfall ratio was computed for all natural land use classes and used to distinguish between evaporation from rainfall and incremental evaporation caused by water withdrawals. The remote sensing measurements were validated against measured evaporative flux, stream flow pumping volume, and stream flow reductions. Afforested areas in the whole basin was responsible for an indirect withdrawal of 1241 Mm3/yr during an average rainfall year while the tripartite agreement among the riparian countries specifies a permitted total withdrawal of 546 Mm3/yr. However, the irrigation sector is responsible for direct withdrawals of 555 Mm3/yr only while their allocated share is 1327 Mm3/yr – the long term total withdrawals are thus in line with the tripartite agreement. South Africa withdraws 1504 Mm3/yr while their share is 1261 Mm3/yr. The unmetered stream flow reduction from the afforested areas in South Africa represents the big uncertainty factor. The methodology described using remotely sensed measurements to estimate direct and indirect withdrawals has the potential to be applied more widely to water stressed basins having limited availability of field data.
20 Samek, J. H.; Kinhom, U.; Skole, D. L.; Uttaruk, P.; Laosuwan, T.; Khoa, P. V.; Thongmanivong, S.; Butthep, C.; Lan, D. X.; Giap, N. X. 2014. Integrating community-based participatory carbon measurement and monitoring with satellite remote sensing and GIS in REDD+ MRV systems. In Lebel, L.; Hoanh, Chu Thai; Krittasudthacheewa, C.; Daniel, R. (Eds.). Climate risks, regional integration and sustainability in the Mekong region. Petaling Jaya, Malaysia: Strategic Information and Research Development Centre (SIRDC); Stockholm, Sweden: Stockholm Environment Institute (SEI). pp.285-308.
Carbon stock assessments ; Satellite observation ; Remote sensing ; GIS ; Climate change ; REDD-plus ; Forests ; Emission reduction ; Measurement ; Monitoring ; Participatory approaches ; Community involvement ; Case studies / Lao People's Democratic Republic / Thailand / Vietnam / Mekong Region
(Location: IWMI HQ Call no: IWMI, e-copy SF Record No: H046922)
(1.87 MB)
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