Spatiotemporal modelling of methane flux from the rice fields of India using remote sensing and GIS

Rice fields have been accredited as an important source of anthropogenic methane, with estimates of annual emission ranging from 47 to 60 Tg per year, representing 8.5-10.9% of total emission from all sources. In this study, attempts have been made to derive the spatial and temporal pattern of metha...

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Bibliographic Details
Published in:	International journal of remote sensing Vol. 27; no. 20; pp. 4701 - 4707
Main Authors:	Manjunath, K. R., Panigrahy, S., Kumari, Kundan, Adhya, T. K., Parihar, J. S.
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 01-10-2006 Taylor and Francis
Subjects:	Animal, plant and microbial ecology Applied geophysics Biological and medical sciences Earth sciences Earth, ocean, space Exact sciences and technology Freshwater Fundamental and applied biological sciences. Psychology General aspects. Techniques Internal geophysics Teledetection and vegetation maps Southern Europe Italy Marches Italy India Monocotyledones temporal distribution Gas emission data Vegetation index Spot geographic information systems Modeling Oryza sativa irrigation Gramineae Angiospermae Methanogenesis flux Paddy field Developmental stage Rainy season Time analysis Anthropogenic factor rainfall maps Europe Space remote sensing Spatial analysis Satellite observation Spatial distribution Asia techniques methane Spermatophyta methodology
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Summary:	Rice fields have been accredited as an important source of anthropogenic methane, with estimates of annual emission ranging from 47 to 60 Tg per year, representing 8.5-10.9% of total emission from all sources. In this study, attempts have been made to derive the spatial and temporal pattern of methane emitted from the rice lands of India using an integrated methodology involving satellite remote sensing and geographic information system (GIS) techniques. Multidate SPOT VGT 10-day Normalized Difference Vegetation Index (NDVI) composite data for a complete year were used to map the rice area, delineate single- and double-cropped rice areas, crop calendar and growth stages. Rainfall, digital elevation and irrigation data were integrated to stratify the rice area into distinct categories related to methane emission. Preliminary analysis of the methane emission pattern was carried out using published values. The results show that around 91% of total methane emission results from wet-season rice, contributing 4.66 Tg per year. The temporal pattern shows that August and September are the months of peak emission during the wet season, and March and April during the dry season.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1
ISSN:	0143-1161 1366-5901
DOI:	10.1080/01431160600702350