Training and Validation Data for a Crop Type Classification of the TR32 - 2017 - based on the Crop Type Distribution Mapping 2017

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Title:Main Title: Training and Validation Data for a Crop Type Classification of the TR32 - 2017 - based on the Crop Type Distribution Mapping 2017
Description:Abstract: The basis for this dataset is the crop distribution mapping of 2017. This dataset was further processed to be suitable for a supervised classification of the whole area of the TR32. A 20-meter inner buffer was executed to minimize edge effects and all fields were checked for plausibility and their geometries updated where needed.
Responsible Party
Creator:Christoph Hütt (Author)
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2018
Topic
TR32 Topic:Remote Sensing
Related Subproject:Z1
Subjects:Keywords: Land Cover Mapping, Land Use, Vegetation
File Details
Filename:crop_classification_training_validation_2017.zip
Data Type:Dataset - Dataset
File Size:233 KB
Date:Available: 28.08.2018
Mime Type:application/zip
Data Format:ESRI Shapefile
Language:English
Status:Completed
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Constraints
Download Permission:Free
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:[Creative Commons] Attribution 4.0 International (CC BY 4.0)
Geographic
Specific Information - Data
Temporal Extent:01.01.2017 - 31.12.2017
Subtype:Natural Science Data
Metadata Details
Metadata Creator:Christoph Hütt
Metadata Created:28.08.2018
Metadata Last Updated:28.08.2018
Subproject:Z1
Funding Phase:3
Metadata Language:English
Metadata Version:V50
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Dataset Downloads:6
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