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Land use dynamics in the central highlands of Vietnam: a spatial model combining village survey data with satellite imagery interpretation

Land use dynamics in the central highlands of Vietnam: a spatial model combining village survey... The paper investigates geo‐physical, agro‐ecological, and socio‐economic determinants of past land use change in two districts of Dak Lak province in the Central Highlands of Vietnam and assesses the influence of rural development policies on land cover change. Landsat satellite images from the years 1975, 1992 and 2000 are interpreted to detect land cover in two time periods. A survey in randomly selected villages provides primary recall data on socio‐economic and policy variables hypothesised to influence land use change. Secondary data on rainfall, soil suitability, and topography was obtained from meteorological stations and from a digital soil map and digital elevation model. All data were spatially referenced using geographic information systems (GIS) software. A reduced‐form, multinomial logit model is used to estimate the influence of hypothesised determinants on land use and the probabilities that a certain pixel has one of five land classes during either of the two periods. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Agricultural Economics Wiley

Land use dynamics in the central highlands of Vietnam: a spatial model combining village survey data with satellite imagery interpretation

Agricultural Economics , Volume 27 (3) – Nov 1, 2002

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References (34)

Publisher
Wiley
Copyright
Copyright © 2002 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0169-5150
eISSN
1574-0862
DOI
10.1111/j.1574-0862.2002.tb00124.x
Publisher site
See Article on Publisher Site

Abstract

The paper investigates geo‐physical, agro‐ecological, and socio‐economic determinants of past land use change in two districts of Dak Lak province in the Central Highlands of Vietnam and assesses the influence of rural development policies on land cover change. Landsat satellite images from the years 1975, 1992 and 2000 are interpreted to detect land cover in two time periods. A survey in randomly selected villages provides primary recall data on socio‐economic and policy variables hypothesised to influence land use change. Secondary data on rainfall, soil suitability, and topography was obtained from meteorological stations and from a digital soil map and digital elevation model. All data were spatially referenced using geographic information systems (GIS) software. A reduced‐form, multinomial logit model is used to estimate the influence of hypothesised determinants on land use and the probabilities that a certain pixel has one of five land classes during either of the two periods.

Journal

Agricultural EconomicsWiley

Published: Nov 1, 2002

Keywords: ; ; ; ; ; ; ; ; ;

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