Major Land Use (key crops), 2011
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Land use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2011. The map is part of a series on crop distribution from 2010 to 2014. Major crop types like cotton or rice were classified as separately, whilst other minor crop classes, e.g. sorghum, maize, or melons were aggregated to the class “other”. Such data can be used as input for crop acreage estimations, crop type distribution analysis, modeling land cover and land use change, yield, water demand calculations etc. Crop classification was done by means of an object (=per-parcel) based supervised classification procedure, based on ground reference samples that were recorded in the Fergana Valley in 2011. The Random Forest algorithm was used for the classification of one Landsat-5 TM and six RapidEye images' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["cotton","fergana","land cover","land cover mapping","land use","maize","melons","rice","sorghum"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Land use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2011. The map is part of a series on crop distribution from 2010 to 2014. Major crop types like cotton or rice were classified as separately, whilst other minor crop classes, e.g. sorghum, maize, or melons were aggregated to the class “other”. Such data can be used as input for crop acreage estimations, crop type distribution analysis, modeling land cover and land use change, yield, water demand calculations etc. Crop classification was done by means of an object (=per-parcel) based supervised classification procedure, based on ground reference samples that were recorded in the Fergana Valley in 2011. The Random Forest algorithm was used for the classification of one Landsat-5 TM and six RapidEye images' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Land use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2011. The map is part of a series on crop distribution from 2010 to 2014. Major crop types like cotton or rice were classified as separately, whilst other minor crop classes, e.g. sorghum, maize, or melons were aggregated to the class “other”. Such data can be used as input for crop acreage estimations, crop type distribution analysis, modeling land cover and land use change, yield, water demand calculations etc. Crop classification was done by means of an object (=per-parcel) based supervised classification procedure, based on ground reference samples that were recorded in the Fergana Valley in 2011. The Random Forest algorithm was used for the classification of one Landsat-5 TM and six RapidEye images
cotton; fergana; land cover; land cover mapping; land use; maize; melons; rice; sorghum