AgriSuit: A web-based GIS-MCDA framework for agricultural land suitability assessment

S.G. Yalew; A. van Griensven; P. van der Zaag

doi:10.1016/j.compag.2016.08.008

AgriSuit: A web-based GIS-MCDA framework for agricultural land suitability assessment

S.G. Yalew^*, A. van Griensven, P. van der Zaag

^*Corresponding author for this work

Farm Systems Ecology Group

Research output: Contribution to journal › Article › Academic › peer-review

77 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	1-8
Journal	Computers and Electronics in Agriculture
Volume	128
DOIs	https://doi.org/10.1016/j.compag.2016.08.008
Publication status	Published - 2016

Keywords

AHP
GIS
Land suitability
Multi-criteria analysis
Remote sensing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.compag.2016.08.008

Cite this

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title = "AgriSuit: A web-based GIS-MCDA framework for agricultural land suitability assessment",

abstract = "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.",

keywords = "AHP, GIS, Land suitability, Multi-criteria analysis, Remote sensing",

author = "S.G. Yalew and {van Griensven}, A. and {van der Zaag}, P.",

year = "2016",

doi = "10.1016/j.compag.2016.08.008",

language = "English",

volume = "128",

pages = "1--8",

journal = "Computers and Electronics in Agriculture",

issn = "0168-1699",

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T2 - A web-based GIS-MCDA framework for agricultural land suitability assessment

AU - Yalew, S.G.

AU - van Griensven, A.

AU - van der Zaag, P.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - AHP

KW - GIS

KW - Land suitability

KW - Multi-criteria analysis

KW - Remote sensing

U2 - 10.1016/j.compag.2016.08.008

DO - 10.1016/j.compag.2016.08.008

M3 - Article

AN - SCOPUS:84982275910

SN - 0168-1699

VL - 128

SP - 1

EP - 8

JO - Computers and Electronics in Agriculture

JF - Computers and Electronics in Agriculture

ER -

AgriSuit: A web-based GIS-MCDA framework for agricultural land suitability assessment

Abstract

Keywords

UN SDGs

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