Your search found 13 records
1 Maithani, B. P. 1988. Strategy for rural development in the north-eastern region. Journal of Rural Development, 7(2):193-212.
Rural development ; Economic aspects / India / Arunachal Pradesh / Assam / Meghalaya / Mizoram / Manipur / Nagaland / Tripura
(Location: IWMI-HQ Call no: PER Record No: H04972)
2 Sharma, U. C.; Prasad, R. N.; Sonowal, D. K. 1998. An indigenous technique of soil and water conservation in North Eastern Region: The Zabo system of farming. In Bhushan, L. S.; Abrol, I. P.; Rao, M. S. R. M. (Eds.), Soil and water conservation: Challenges and opportunities - Volume 2. New Delhi, India: Oxford & IBH Publishing Co. Pvt. Ltd. pp.969-975.
Soil conservation ; Water conservation ; Traditional farming ; Farming systems ; Land management ; Water harvesting ; Rice ; Soil fertility / India / Arunachal Pradesh / Assam / Manipur / Meghalaya / Mizoram / Nagaland / Tripura
(Location: IWMI-HQ Call no: 631.4 G000 BHU Record No: H022742)
3 Kim, M. J.; Stoltz, D. R. (Eds.) 1999. Economic assessment of selected resource management techniques in marginal upland agriculture: Integrated report and proceedings of a workshop held in Seoul, Korea, May 20-22, 1998. Bogor, Indonesia: CGPRT Centre. ix, 161p. (CGPRT Centre monograph no.36)
Agricultural economics ; Economic evaluation ; Sustainable agriculture ; Resource management ; Water quality Salinity ; Water use efficiency ; Ecosystems ; Cropping systems ; Irrigated farming ; Water management ; Water conservation ; Soil conservation ; Case studies ; Land management ; Watershed management / India / China / Thailand / Korea Republic / Mawlasnai / Meghalaya / Guizhou Province
(Location: IWMI-HQ Call no: 338.1 G000 KIM Record No: H024170)
4 Barah, B. C. (Ed.) 2001. Prioritization of strategies for agricultural development in Northeastern India. New Delhi, India: National Centre for Agricultural Economics and Policy Research (NCAP) xvii, 103p. (NCAP proceedings 9)
Agricultural development ; Agricultural economics ; Constraints ; Livestock ; Animal husbandry ; Fisheries ; Rice ; Financial institutions ; Financing ; Agricultural credit ; Poverty ; Traditional farming / India / Assam / Meghalaya / Manipur
(Location: IWMI-HQ Call no: 338.1 G635 BAR Record No: H030077)
5 Goswami, S. N. 2002. Farm planning in hills of Meghalaya for augmentation of income and employment vis- à-vis preservation of natural resource base. Indian Journal of Agricultural Economics, 57(2):211-223.
(Location: IWMI-HQ Call no: PER Record No: H030332)
6 Athavale, R. N. 2001. When traditions and science meet: The link between traditions and modern science cannot be ignored – Traditional water harvesting systems can be used to deal with contemporary water problems… In Agarwal, A.; Narain, S.; Khurana, I. (Eds.), Making water everybody’s business: Practice and policy of water harvesting. New Delhi, India: Centre for Science and Environment. pp.282-292.
Water scarcity ; Water supply ; Rain ; Water harvesting ; Artificial recharge ; Wells ; Domestic water ; Catchment areas ; Runoff ; Case studies ; Water supply ; Salinity ; Water conservation / India / Rajasthan / Meghalaya / Cherrapunji / Saurashtra / Alwar District
(Location: IWMI-HQ Call no: 333.91 G635 AGA Record No: H030660)
7 Raman, S. 2012. Potential of micro-irrigation in India: a statewise assessment. In Palanisami, Kuppannan; Raman, S.; Mohan, Kadiri (Eds.). Micro-irrigation: economics and outreach. New Delhi, India: Macmillan. pp.11-26.
Irrigation methods ; Microirrigation ; Sprinkler irrigation ; Drip irrigation ; Irrigated sites ; Crops / India / Andhra Pradesh / Arunachal Pradesh / Assam / Bihar / Chhattisgarh / Goa / Gujarat / Haryana / Himachal Pradesh / Jammu / Kashmir / Jharkhand / Karnataka / Kerala / Madhya Pradesh / Maharashtra / Manipur / Meghalaya / Mizoram / Nagaland / Orissa / Punjab / Rajasthan / Sikkim / Tamil Nadu / Tripura / Uttar Pradesh / Uttarakhand / West Bengal / Delhi
(Location: IWMI HQ Call no: IWMI Record No: H044864)
8 Kuppannan, Palanisami; Sharda, V. N.; Singh, D. V. (Eds.) 2013. Water management in the hill regions: evidence from field studies. [Outcome of the IWMI and ICAR workshop organized by IWMI-TATA Water Policy Research Program]. New Delhi, India: Bloomsbury Publishing India. 288p.
Water management ; Water resources development ; Water harvesting ; Technology ; Water use efficiency ; Multiple use ; Water storage ; Highlands ; Rainfed farming ; Erosion ; Irrigation system ; Irrigation methods ; Climate change ; Rainfall patterns ; Runoff ; Case studies ; Impact assessment ; Research projects ; Groundwater recharge ; Economic aspects ; Land use ; Households / South Asia / India / Shivalik Region / North Eastern Hilly Regions / Himalayan Regions / Eastern Ghats Region / Sikkim Hills / Darjeeling Hills / Southern High Hills / Uttarakhand / Meghalaya
(Location: IWMI HQ Call no: 333.91 G635 PAL Record No: H045723)
(0.38 MB)
9 Hazarika, M. 2013. Prospects and problems of drip irrigation in citrus cultivation in Meghalaya, India with special reference to bamboo drip irrigation. In Palanisami, Kuppannan; Sharda, V. N.; Singh, D. V. (Eds.). Water management in the hill regions: evidence from field studies. [Outcome of the IWMI and ICAR Workshop organized by IWMI-TATA Water Policy Research Program]. New Delhi, India: Bloomsbury Publishing India. pp.95-105.
(Location: IWMI HQ Call no: 333.91 G635 PAL Record No: H045730)
10 Kuppannan, Palanisami; Sharda, V. N.; Singh, D. V. (Eds.) 2013. Water management in the hill regions: evidence from field studies. [Outcome of the IWMI and ICAR workshop organized by IWMI-TATA Water Policy Research Program]. New Delhi, India: Bloomsbury Publishing India. 288p.
Water management ; Water resources development ; Water harvesting ; Technology ; Water use efficiency ; Multiple use ; Water storage ; Highlands ; Rainfed farming ; Erosion ; Irrigation system ; Irrigation methods ; Climate change ; Rainfall patterns ; Runoff ; Case studies ; Impact assessment ; Research projects ; Groundwater recharge ; Economic aspects ; Land use ; Households / South Asia / India / Shivalik Region / North Eastern Hilly Regions / Himalayan Regions / Eastern Ghats Region / Sikkim Hills / Darjeeling Hills / Southern High Hills / Uttarakhand / Meghalaya
(Location: IWMI HQ Call no: 333.91 G635 PAL c2 Record No: H045949)
11 Kuppannan, Palanisami; Kumar, D. S.; Malik, R. P. S.; Raman, S.; Kar. G.; Mohan, K. 2015. Managing water management research: analysis of four decades of research and outreach programmes in India. Economic and Political Weekly, l(26&27): 33-43.
Water management ; Research institutes ; Technology ; Agriculture ; Economic aspects ; Investment ; Farmers ; Water conservation ; Yield increases / India / Karnataka / Kerala / Tamil Nadu / Gujarat / Madhya Pradesh / Chhattisgarh / Maharashtra / Rajasthan / Haryana / Punjab / Uttar Pradesh / Himachal Pradesh / Jammu / Kashmir / Uttarakhand / Bihar / Odisha / West Bengal / Assam / Meghalaya
(Location: IWMI HQ Call no: e-copy only Record No: H047096)
(0.24 MB)
12 Nandy, S.; Ghosh, Surajit; Singh, S. 2021. Assessment of sal (Shorea robusta) forest phenology and its response to climatic variables in India. Environmental Monitoring and Assessment, 193(9):616. [doi: https://doi.org/10.1007/s10661-021-09356-9]
Forests ; Phenology ; Climatic factors ; Shorea robusta ; Moderate resolution imaging spectroradiometer ; Time series analysis ; Remote sensing ; Temperature ; Rain ; Vegetation index / India / Assam / Chhattisgarh / Jharkhand / Madhya Pradesh / Meghalaya / Uttarakhand / West Bengal
(Location: IWMI HQ Call no: e-copy only Record No: H050795)
(2.27 MB)
Remote sensing-based observation provides an opportunity to study the spatiotemporal variations of plant phenology across the landscapes. This study aims to examine the phenological variations of different types of sal (Shorea robusta) forests in India and also to explore the relationship between phenology metrics and climatic parameters. Sal, one of the main timber-producing species of India, can be categorized into dry, moist, and very moist sal. The phenological metrics of different types of sal forests were extracted from Moderate Resolution Imaging Spectroradiometer (MODIS)-derived Enhanced Vegetation Index (EVI) time series data (2002–2015). During the study period, the average start of season (SOS) was found to be 16 May, 17 July, and 29 June for very moist, moist, and dry sal forests, respectively. The spatial distribution of mean SOS was mapped as well as the impact of climatic variables (temperature and rainfall) on SOS was investigated during the study period. In relation to the rainfall, values of the coefficient of determination (R2) for very moist, moist, and dry sal forests were 0.69, 0.68, and 0.76, respectively. However, with temperature, R2 values were found higher (R2 = 0.97, 0.81, and 0.97 for very moist, moist, and dry sal, respectively). The present study concluded that MODIS EVI is well capable of capturing the phenological metrics of different types of sal forests across different biogeographic provinces of India. SOS and length of season (LOS) were found to be the key phenology metrics to distinguish the different types of sal forests in India and temperature has a greater influence on SOS than rainfall in sal forests of India.
13 Bordoloi, R.; Das, B.; Tripathi, O. P.; Sahoo, U. K.; Nath, A. J.; Deb, S.; Das, D. J.; Gupta, A.; Devi, N. B.; Charturvedi, S. S.; Tiwari, B. K.; Paul, A.; Tajo, L. 2022. Satellite based integrated approaches to modelling spatial carbon stock and carbon sequestration potential of different land uses of Northeast India. Environmental and Sustainability Indicators, 13:100166. [doi: https://doi.org/10.1016/j.indic.2021.100166]
Carbon sequestration ; Carbon stock assessments ; Land use ; Land cover ; Satellite imagery ; Landsat ; Vegetation index ; Regression analysis ; Biomass ; Climate change mitigation ; Forest cover ; Remote sensing ; Modelling ; Simulation / India / Arunachal Pradesh / Assam / Manipur / Meghalaya / Mizoram / Nagaland / Sikkim / Tripura
(Location: IWMI HQ Call no: e-copy only Record No: H050887)
https://www.sciencedirect.com/science/article/pii/S2665972721000672/pdfft?md5=2b0c924ff6ef3156dbcfe3c57e940f61&pid=1-s2.0-S2665972721000672-main.pdf
https://vlibrary.iwmi.org/pdf/H050887.pdf
https://vlibrary.iwmi.org/pdf/H050887.pdf
(4.25 MB) (4.25 MB)
The study aims to estimate and predict the aboveground biomass, carbon stock and carbon sequestration potential of different land uses of Northeast India and relate these estimates with the land use changes. Many applications such as carbon stock and sequestration monitoring, forest degradation monitoring, and climate change mitigation, require precise and timely estimation of forest biomass. Although traditional field inventory can reliably estimate forest biomass, remote sensing is emerging as an alternate and fast approach to cover larger area with relative precision for biomass estimation. In this study, a combined approach of field inventory and Landsat OLI derived vegetation indices were used in spatial modelling of aboveground biomass and carbon stock in different land uses. A stepwise multilinear regression algorithm was used to derive the model that used Landsat derived NDVI, SAVI and ARVI as predicators. The predicted AGB ranged from 14.32 to 185.95 Mg ha-1 with an average of 148.78 Mg ha-1. The developed model that used combined vegetation indices showed correlation of R2 = 0.79 with an RMSE of 51.04 Mg ha-1. The present study also applied the empirical model (CO2FIX) to simulate the future scenario of carbon stock and carbon sequestration potential of the different land uses. The carbon stock potential of different land uses were 182.31 Mg ha-1, 158.91 Mg ha-1, 134.98 Mg ha-1, 169.26 Mg ha-1, 133.84, 89.95 Mg ha-1, 128.3 Mg ha-1 and 61.36 Mg ha-1 in Tropical forest, Subtropical forest, Temperate forest, Tropical plantation, Subtropical plantation, Temperate plantation, Shifting fallows and Agricultural land, respectively.
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