DocumentCode
576706
Title
Deriving 2011 cultivated land cover data sets using usda National Agricultural Statistics Service historic Cropland Data Layers
Author
Boryan, Claire ; Yang, Zhengwei ; Di, Liping
Author_Institution
U.S. Dept. of Agric., Nat. Agric. Stat. Service, Fairfax, VA, USA
fYear
2012
fDate
22-27 July 2012
Firstpage
6297
Lastpage
6300
Abstract
This paper describes the method used to derive 30 meter resolution 2011 US cultivated data sets based on multi-year National Agricultural Statistics Service (NASS) Cropland Data Layer (CDL) data. This paper presents different sets of rules (models) to build the cultivated data sets, and a comparison of the resulting cultivated data set accuracies to the accuracies of the original CDL input data. Nine models to create 2011 cultivated data sets for nine US states are tested. Each model provides a set of rules for merging pixels of multi-year (2007-2011) CDL data. The cultivated data accuracy was assessed against in situ 2011 Farm Service Agency (FSA) Common Land Unit (CLU) data. It was found that accuracies were close among the cultivated data generated using the different models. The strongest models for all states achieved overall (producer and user) accuracies greater than 94% for cultivated and non cultivated categories.
Keywords
agricultural engineering; agriculture; crops; terrain mapping; vegetation mapping; FSA CLU data; US cultivated data sets; USDA National Agricultural Statistics Service historic cropland data layers; cultivated data accuracy; cultivated land cover data sets; in situ 2011 Farm Service Agency Common Land Unit data; multiyear NASS cropland data layer data; Accuracy; Agriculture; Buildings; Data models; Information filtering; Spatial resolution; Training data; CDL; crop mask; cultivated data layer; land cover; multi-year cultivated data layer;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6352699
Filename
6352699
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