Do roads cause deforestation? Using satellite images in econometric analysis of land use

In this paper we demonstrate how satellite images and other geographic data can be used to predict land use. A cross-section model of land use is estimated with data for a region in central Mexico. Parameters from the model are used to examine the effects of reduced human activity. If variables that...

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Veröffentlicht in:	American journal of agricultural economics 1997-02, Vol.79 (1), p.80-88
Hauptverfasser:	Nelson, Gerald C., Hellerstein, Daniel
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural economics Artificial satellites CARRETERAS Cluster analysis COLLECTE DE DONNEES Cost efficiency DATA COLLECTION Datasets DEBOISEMENT DEFORESTACION DEFORESTATION ECONOMETRIC MODELS Econometrics Economic models Forests Friction geographic data Geographic information systems Image analysis Irrigation LAND USE LANDSAT Landsat satellites METHODE STATISTIQUE METODOS ESTADISTICOS MEXICO MEXIQUE MODELE ECONOMETRIQUE MODELOS ECONOMETRICOS Pixels Population PROBABILITY Q150 Q230 Radiation RECOLECCION DE DATOS REMOTE SENSING remotely sensed data ROADS Roads & highways ROUTE SATELITES SATELLITE SATELLITE IMAGERY SATELLITES Socioeconomics spatial econometrics STATISTICAL METHODS TELEDETECCION TELEDETECTION Tropical rain forests UTILISATION DES TERRES UTILIZACION DE LA TIERRA Variables
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Zusammenfassung:	In this paper we demonstrate how satellite images and other geographic data can be used to predict land use. A cross-section model of land use is estimated with data for a region in central Mexico. Parameters from the model are used to examine the effects of reduced human activity. If variables that proxy human influence are changed to reflect reduced impact, "forest" area increases and "irrigated crop" area is reduced.
ISSN:	0002-9092 1467-8276
DOI:	10.2307/1243944