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Detalles del recurso

Descripción

Agriculture is the largest global consumer of water. Irrigated areas contribute to 40 % of the agricultural production. Information on their spatial distribution is highly relevant for regional water management and food security. Spatial information on irrigation is highly important for policy and decision makers who are facing the transition towards a more efficient sustainable agriculture. However, existing global datasets are coarse and the mapping of irrigated areas still represents a challenge for land classifications. The following study extends existing irrigation maps that are based on statistics. The approach processes and analyses spatial data incrementally in a multi decision tree by using multi-temporal NDVI SPOT-VGT data and agricultural suitability data - both at a spatial resolution of 30 arc seconds. It covers the period from 1999 to 2012. The result exceeds the resolution of existing global studies and is not restricted to official reports made by surveys. Irrigated areas that were not yet included in the reports could be identified. The results globally show 22 % more irrigated areas than existing approaches and statistical data. The largest differences compared to existing data are found in Asia and particularly in China and India. The additional areas are mainly identified within already known irrigated regions where irrigation is more dense than previously estimated.

Pertenece a

PANGAEA - Publishing Network for Geoscientific & Environmental Data  

Autor(es)

Meier, Jonas -  Zabel, Florian -  Mauser, Wolfram - 

Id.: 70865886

Idioma: inglés  - 

Versión: 1.0

Estado: Final

Tipo:  application/zip, 4940.0 kBytes - 

Tipo de recurso: Dataset  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: Access constraints: access rights needed

Formatos:  application/zip, 4940.0 kBytes - 

Requerimientos técnicos:  Browser: Any - 

Relación: [IsBasedOn] Supplement to: Meier, Jonas; Zabel, Florian; Mauser, Wolfram (accepted): Extending global irrigation maps - going beyond statistics. Hydrology and Earth System Sciences Discussions, 1-16, https://doi.org/10.5194/hess-2017-156

Fecha de contribución: 11-ene-2018

Contacto:

Localización:

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