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Implementation of a new automatic stratification method using geospatial cropland data layers in NASS area frame construction

Type: Conference Paper

Author : Boryan, C.G.; Zhengwei Yang

Publisher: IEEE

Year: 2014

US geospatial crop frequency data layers

Type: Conference Paper

Author : Boryan, C.G. , Zhengwei Yang , Willis, P.

Publisher: IEEE

Year: 2014

Remote sensing for agricultural applications

Type: Journal Paper

Author : Zhengwei Yang; Wen-bin WU; Liping Di; Berk Üstündağ

Year: 2017

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A New Automatic Stratification Method for U.S. Agricultural Area Sampling Frame Construction Based on the Cropland Data Layer

Type: Journal Paper

Author : Boryan, Claire; Zhengwei Yang; Liping Di; Hunt, Kevin

Publisher: IEEE

Year: 2014

Enhancing Agricultural Geospatial Data Dissemination and Applications Using Geospatial Web Services

Type: Journal Paper

Author : Weiguo Han; Zhengwei Yang; Liping Di; Bei Zhang; Chunming Peng

Publisher: IEEE

Year: 2014

Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery

Type: Journal Paper

Author : Feng Gao; Martha C. Anderson; Xiaoyang Zhang; Zhengwei Yang; Joseph G. Alfieri; William P. Kustas; Rick Mueller; David M. Johnson; John H. Prueger

Year: 2017

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Implementation of a new automatic stratification method using geospatial cropland data layers in NASS area frame construction

US geospatial crop frequency data layers

Remote sensing for agricultural applications

A New Automatic Stratification Method for U.S. Agricultural Area Sampling Frame Construction Based on the Cropland Data Layer

Enhancing Agricultural Geospatial Data Dissemination and Applications Using Geospatial Web Services

Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery

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Implementation of a new automatic stratification method using geospatial cropland data layers in NASS area frame construction

US geospatial crop frequency data layers

Remote sensing for agricultural applications

A New Automatic Stratification Method for U.S. Agricultural Area Sampling Frame Construction Based on the Cropland Data Layer

Enhancing Agricultural Geospatial Data Dissemination and Applications Using Geospatial Web Services

Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery