Work

Scenario modeling to predict changes in land use/cover using Land Change Modeler and InVEST model: a case study of Karaj Metropolis, Iran

Year: 2023

Type: article

Source: Environmental Monitoring and Assessment

DOI: 10.1007/s10661-022-10740-2

Authors: Ardavan Zarandian, Fatemeh Mohammadyari, Mir Mehrdad Mirsanjari, Jurate Suziedelyte Visockiene

Institutions: Malayer University, Vilnius Gediminas Technical University

Language: English

Topic: Land Use and Ecosystem Services

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Sustainable cities and communities, Life on land

Open Access status: closed

OpenAlex ID: W4313640340

FWCI: 3.362

Cites: 55

Cited by: 42

Related to: 10