The Impact of Mapping Error on the Performance of Upscaling Agricultural Maps

Aggregation methods are the most common way of upscaling land cover maps. To analyze the impact of land cover mapping error on upscaling agricultural maps, we utilized the Cropland Data Layer (CDL) data with corresponding confidence level data and simulated eight levels of error using a Monte Carlo...

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Detalles Bibliográficos

Autores principales:	Peijun Sun, Russell G. Congalton, Heather Grybas, Yaozhong Pan
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2017-08-01
Colección:	Remote Sensing
Materias:	upscaling land cover map proportional error landscape pattern Monte Carlo simulation
Acceso en línea:	https://www.mdpi.com/2072-4292/9/9/901
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