|Title||AgriSuit : A web-based GIS-MCDA framework for agricultural land suitability assessment|
|Author(s)||Yalew, S.G.; Griensven, A. van; Zaag, P. van der|
|Source||Computers and Electronics in Agriculture 128 (2016). - ISSN 0168-1699 - p. 1 - 8.|
|Department(s)||Farming Systems Ecology|
|Publication type||Refereed Article in a scientific journal|
|Keyword(s)||AHP - GIS - Land suitability - Multi-criteria analysis - Remote sensing|
A web-based framework (AgriSuit) that integrates various global data from different sources for multi-criteria based agricultural land suitability assessment based on the Google Earth Engine (GEE) platform is developed and presented. The platform enables online data gathering, training and classifying of land cover classes based on remote sensing and GIS techniques, as well as computation of suitability of land-use classes for agricultural activities. A demonstration of the framework on the Upper Blue Nile basin in Ethiopia is presented.