Your search found 7 records
1 Joseph, S.. 1994. Village people and satellite imagery. In Sowerwine, J.; Shivakoti, G.; Pradhan, U.; Shukla, A.; Ostrom, E. (Eds.), From farmers' fields to data fields and back: A Synthesis of Participatory Information Systems for Irrigation and Other Resources: Proceedings of an International Workshop held at the Institute of Agriculture and Animal Science, Rampur, Nepal, 21-26 March 1993. Colombo, Sri Lanka: IIMI; Rampur, Nepal: IAAS. pp.171-177.
Remote sensing ; Satellite surveys ; GIS ; Computer techniques ; Maps ; Participatory rural appraisal ; Rural development
(Location: IWMI-HQ Call no: IIMI 631.7.3 G726 SOW Record No: H016276)
2 Mascarenhas, J.; Shah, P.; Joseph, S.; Jayakaran, R.; Devavaram, J.; Ramachandran, V.; Chambers, R.; Pretty, J. (Eds.) 1995. Participatory rural appraisal: Proceedings of the February 1991 Bangalore PRA Trainers Workshop. London, UK; Bangalore, India: IIED; MYRADA. 94p. (RRA notes no.13)
Participatory rural appraisal ; Rural development ; Social participation ; Evaluation ; Farmer participation ; Training / India
(Location: IWMI-HQ Call no: 338.9 G635 MAS Record No: H017080)
3 Joseph, S.. 1997. Computer models and land and water management plans in the Murray Valley - A regional perspective. In Murray-Darling Basin Commission, Role of computer modelling in the development and implementation of land and water management plans for irrigated catchments. Canberra, Australia: Murray-Darling Basin Commission. Natural Resources Management Strategy - Drainage Program. pp.71-73.
(Location: IWMI-HQ Call no: 631.7.1 G922 MUR Record No: H021157)
4 Joseph, S.. 1993. Minor irrigation: A key for rural prosperity. In Gupta, N. L.; Gurjar, R. K. (Eds.), Integrated water use management. Jaipur, India: Rawat Publications. pp.229-233.
(Location: IWMI-HQ Call no: 333.91 G635 GUP Record No: H024342)
5 Roy, P. S.; Behera, M. D.; Murthy, M. S. R.; Roy, A.; Singh, S.; Kushwaha, S. P. S.; Jha, C. S.; Sudhakar, S.; Joshi, P. K.; Reddy, S.; Gupta, S.; Pujar, G.; Dutt, C. B. S.; Srivastava, V. K.; Porwal, M. C.; Tripathi, P.; Singh, J. S.; Chitale, V.; Skidmore, A. K.; Rajshekhar, G.; Kushwaha, D.; Karnatak, H.; Saran, S.; Amarnath, Giriraj; Padalia, H.; Kale, M.; Nandy, S.; Jeganathan, C.; Singh, C. P.; Biradar, C. M.; Pattanaik, C.; Singh, D. K.; Devagiri, G. M.; Talukdar, G.; Panigrahy, R. K.; Singh, H.; Sharma, J. R.; Haridasan, K.; Trivedi, S.; Singh, K. P.; Kannan, L.; Daniel, M.; Misra, M. K.; Niphadkar, M.; Nagabhatla, N.; Prasad, N.; Tripathi, O. P.; Prasad, P. R. C.; Dash, P.; Qureshi, Q.; Tripathi, S. K.; Ramesh, B. R.; Gowda, B.; Tomar, S.; Romshoo, S.; Giriraj, S.; Ravan, S. A.; Behera, S. K.; Paul, S.; Das, A. K.; Ranganath, B. K.; Singh, T. P.; Sahu, T. R.; Shankar, U.; Menon, A. R. R.; Srivastava, G.; Sharma, N. S.; Mohapatra, U. B.; Peddi, A.; Rashid, H.; Salroo, I.; Krishna, P. H.; Hajra, P. K.; Vergheese, A. O.; Matin, S.; Chaudhary, S. A.; Ghosh, S.; Lakshmi, U.; Rawat, D.; Ambastha, K.; Malik, A. H.; Devi, B. S. S.; Gowda, B.; Sharma, K. C.; Mukharjee, P.; Sharma, A.; Davidar, P.; Raju, R. R. V.; Katewa, S. S.; Kant, S.; Raju, V. S.; Uniyal, B. P.; Debnath, B.; Rout, D. K.; Thapa, R.; Joseph, S.; Chhetri, P.; Ramachandran, R. M. 2015. New vegetation type map of India prepared using satellite remote sensing: comparison with global vegetation maps and utilities. International Journal of Applied Earth Observation and Geoinformation, 39:142-159. [doi: https://doi.org/10.1016/j.jag.2015.03.003]
Satellite imagery ; Remote sensing ; Vegetation ; Climate change ; Temperature ; Precipitation ; Scrublands ; Grasslands ; Ecology ; Global positioning systems ; Land cover ; Assessment ; Cultivation / India
(Location: IWMI HQ Call no: e-copy only Record No: H047008)
(2.48 MB)
A seamless vegetation type map of India (scale 1: 50,000) prepared using medium-resolution IRS LISS-III images is presented. The map was created using an on-screen visual interpretation technique and has an accuracy of 90%, as assessed using 15,565 ground control points. India has hitherto been using potential vegetation/forest type map prepared by Champion and Seth in 1968. We characterized and mapped further the vegetation type distribution in the country in terms of occurrence and distribution, area occupancy, percentage of protected area (PA) covered by each vegetation type, range of elevation, mean annual temperature and precipitation over the past 100 years. A remote sensing-amenable hierarchical classification scheme that accommodates natural and semi-natural systems was conceptualized, and the natural vegetation was classified into forests, scrub/shrub lands and grasslands on the basis of extent of vegetation cover. We discuss the distribution and potential utility of the vegetation type map in a broad range of ecological, climatic and conservation applications from global, national and local perspectives. Weused 15,565 ground control points to assess the accuracy of products available globally (i.e., GlobCover, Holdridge’s life zone map and potential natural vegetation (PNV) maps). Hence we recommend that the map prepared herein be used widely. This vegetation type map is the most comprehensive one developed for India so far. It was prepared using 23.5m seasonal satellite remote sensing data, field samples and information relating to the biogeography, climate and soil. The digital map is now available through a web portal (http://bis.iirs.gov.in).
6 Thomas, J.; Joseph, S.; Thrivikramji, K. P. 2018. Estimation of soil erosion in a rain shadow river basin in the southern Western Ghats, India using RUSLE [Revised Universal Soil Loss Equation] and transport limited sediment delivery function. International Soil and Water Conservation Research, 6(2):111-122. [doi: https://doi.org/10.1016/j.iswcr.2017.12.001]
Erosion ; Estimation ; River basins ; Rainfall-runoff relationships ; Sedimentation ; Models ; Universal soil loss equation ; Land use ; Land cover ; Highlands ; Spatial variation / India / Kerala / Western Ghats / Pambar River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H048778)
https://www.sciencedirect.com/science/article/pii/S2095633917301338/pdfft?md5=e6b98188466fa4cf9da992aa705f38dc&pid=1-s2.0-S2095633917301338-main.pdf
https://vlibrary.iwmi.org/pdf/H048778.pdf
https://vlibrary.iwmi.org/pdf/H048778.pdf
(6.75 MB) (6.75 MB)
Soil erosion and deposition in a tropical mountainous river basin, viz., Pambar River Basin (PRB), in a rain shadow region of the southern Western Ghats (India) were modelled using Revised Universal Soil Loss Equation (RUSLE) and transport limited sediment delivery (TLSD) function in GIS. Mean gross soil erosion in the basin is 11.70 t ha 1 yr 1 , and is comparable with the results of previous soil erosion studies from the region. However, mean net soil erosion from the basin is 2.92 t ha 1 yr 1 only, which is roughly 25% of the gross soil erosion. Although natural vegetation belts show relatively higher gross- and net-soil erosion rates (mainly due to high LS and C factors), their sediment transport efficiency is remarkably less, compared to the land use/ land cover types with anthropogenic signatures (i.e., plantations and croplands). Despite the lesser amount of annual rainfall, the high rates of soil loss from the semi-arid areas of the basin might be the result of the poor protective vegetation cover as well as isolated high intensity rainfall events. The study highlights the significance of climate-specific plans for soil erosion management and conservation of the soil resources of the basins developed in rain shadow regions.
7 Whitley, L.; Hutchings, P.; Cooper, S.; Parker, A.; Kebede, A.; Joseph, S.; Butterworth, J.; van Koppen, Barbara; Mulejaa, A. 2019. A framework for targeting water, sanitation and hygiene interventions in pastoralist populations in the Afar Region of Ethiopia. International Journal of Hygiene and Environmental Health, 222(8):1133-1144. [doi: https://doi.org/10.1016/j.ijheh.2019.08.001]
Water supply ; Sanitation ; Hygiene ; Risk assessment ; Pastoralists ; Communities ; Public health ; Health hazards ; Faecal pollution ; Pathogens ; Drinking water ; Water purification ; Water storage ; Human behaviour ; Villages ; Households / Ethiopia / Afar Region
(Location: IWMI HQ Call no: e-copy only Record No: H049505)
https://www.sciencedirect.com/science/article/pii/S1438463919303037/pdfft?md5=20dd20d81fedd15412ad38ce2a911509&pid=1-s2.0-S1438463919303037-main.pdf
https://vlibrary.iwmi.org/pdf/H049505.pdf
https://vlibrary.iwmi.org/pdf/H049505.pdf
(0.73 MB) (744 KB)
Globally, many populations face structural and environmental barriers to access safe water, sanitation and hygiene (WASH) services. Among these populations are many of the 200 million pastoralists whose livelihood patterns and extreme environmental settings challenge conventional WASH programming approaches. In this paper, we studied the Afar pastoralists in Ethiopia to identify WASH interventions that can mostly alleviate public health risks, within the population's structural and environmental living constraints. Surveys were carried out with 148 individuals and observational assessments made in 12 households as part of a Pastoralist Community WASH Risk Assessment. The results show that low levels of access to infrastructure are further compounded by risky behaviours related to water containment, storage and transportation. Additional behavioural risk factors were identified related to sanitation, hygiene and animal husbandry. The Pastoralist Community WASH Risk Assessment visually interprets the seriousness of the risks against the difficulty of addressing the problem. The assessment recommends interventions on household behaviours, environmental cleanliness, water storage, treatment and hand hygiene via small-scale educational interventions. The framework provides an approach for assessing risks in other marginal populations that are poorly understood and served through conventional approaches.
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