{"id":"93a521d5-5351-4d41-9d1c-816bdb42993c","title":"Nukus-灌区农作物种植结构-2019","title_en":"Nukus irrigation area crop planting structure-2019","serial":"","user_limit":"为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。","instructions":"地点+主题+时间；矢量文件；","description":"1）数据内容：种植结构指的是一个地区或国家在农作物种类种植比例上的问题，一般以粮食作物为主，其他经济类作物为辅，本数据描述10M分辨率的灌区种植结构的空间分布。2）数据来源及加工方法：哨兵数据，随机森林法。3）数据质量描述：Kappa系数80%。4）数据应用成果及前景：各种水文生态模拟分析的基础数据，精细计算农业蒸散、农业需水、下渗、灌溉需求，农业结构达到田块级别，为了能够推动农业种植健康发展，调整和优化各因素，并明确各要素在农业种植结构中的作用显得尤为重要。5）种植结构是在GEE平台上利用随机森林算法并结合采集的样本点数据计算得出的，为了区分方便，在计算过程中我们将每一种相似作物类型用一个阿拉伯数字表示，计算完的.tif结果再用分区统计的方式链接到提取的耕地上，在这个过程中，我们把表示作物类型的字段保留下来，即max字段，每个阿拉伯数字对应的作物类见说明文档。","doi":"10.11888/Ecolo.tpdc.null","projection":"WGS84","language":"zh","share_type":"protected","east":60.0,"west":58.0,"south":42.0,"north":43.0,"scale":null,"crs":null,"filesize":64.0,"share_policy":"c","ts_created":"2020-01-17T12:16:50.750839+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T09:33:51.686190+08:00","time_description":"","datas_group":0,"time_description_en":"","data_format":null,"project":[11],"specials":[],"cite":null,"review_status":5,"review_invite":[{"user_name":"吴锋","username":"simlab3825","email":"wufeng@igsnrr.ac.cn","is_cancel_expert":false},{"user_name":"秦军","username":"秦军","email":"shuairenqin@itpcas.ac.cn","is_cancel_expert":true}],"review_editor":{"id":42023,"last_login":"2022-03-24T09:37:33.507049+08:00","username":"yanmh","email":"yanmh@itpcas.ac.cn","is_active":true,"is_staff":true,"user_name":"闫梦还"},"data_sources":null,"temporal_resolution":"Yearly","spatial_resolution":"1m - 10m","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"93a521d5-5351-4d41-9d1c-816bdb42993c","three_pole":null,"third_pole":"XDA20060303"},"username":"XDA20060303","review_time":"2020-01-17T19:45:03.320123+08:00","protected_duration":24,"protected_describe":null,"is_important":false,"hit_count":1541}