Proceedings of the National Conference on Managing Irrigation for Environmentally Sustainable Agriculture in Pakistan, Islamabad, Pakistan, 5-7 November 1996. Volume IV - papers on the theme, Environmental management of irrigated lands
Productos de tecnología agrícola para cambiarle la cara a Colombia
Proyecto CIAT laderas América Central: reportes de progreso 1997
Remote sensing and GIS based analysis of conjunctive water use in the Rechna Doab, Pakistan
Remote sensing and hydrologic models for performance assessment in Sirsa Irrigation Circle, India
Describes the results of an irrigation performance evaluation using remote sensing techniques, GIS procedures, and hydrologic modeling at a regional scale. Demonstrates how advanced information technologies support the analysis of irrigation performance by facilitating an in-depth study of a large irrigated area.
Report of the CIAT expert panel on the use of GIS for decision support
Report. Workshop on Integrating Biodiversity and Ecosystem Services into Foresight Models.
The workshop held at Bioversity International in Rome, Italy, from 7 – 8 May 2015
Brought together a group of researchers and members of CGIAR centers, and other
institutions who are interested in modelling biodiversity and ESS using geospatial
data. The workshop focused on modeling at different scales: household/farm level, the agricultural sector level and the economy – wide level, in order to explore trade - offs and complementariness between productivity, nutrition and ESS.
Root zone salinity management using fractional skimming wells with pressurized Irrigation: proceedings of the Project-End Workshop 2003
Satellite remote sensing for assessment of irrigation system performance: a case study in India
Describes the use of satellite remote sensing and geographic information system techniques to obtain information on primary agricultural productivity and irrigation system performance in a large rice irrigation system in India. Discusses the potential and cost-effectiveness of SRS techniques for making inventories and monitoring agricultural productivity.