{ "created": "2024-04-17 16:28:18", "updated": "2026-04-04 06:04:44", "id": "4b3b5669-89bd-43af-94c2-b7a443d858aa", "version": 7, "ds_topic": null, "title_cn": "全球10公里分辨率网格化作物生产数据集（2010-2020年）", "title_en": "GGCP10::A Global Gridded Crop Production Dataset at 10km Resolution from 2010 to 2020", "ds_abstract": "

  每年每种作物的GGCP10以单波段图像表示。GGCP10的像素值对应各自空间网格的作物生产数据，单位为千吨。这些数据涵盖了从2010年到2020年的11年时间。有四种作物:玉米、小麦、水稻和大豆。该数据产品共有44张tif图像。图像的像素值表示该空间网格的作物产量，单位为千吨。

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  GGCP10数据集揭示了全球作物生产的时空分布格局，有助于揭示作物生产变化的驱动机制。它为全球粮食安全和农业可持续发展研究提供了重要的数据支持。", "ds_source": "

  全球陆面卫星产品。", "ds_process_way": "

  构建数据驱动模型，实现预测。", "ds_quality": "

  数据质量良好。", "ds_acq_start_time": "2010-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "全球", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 75059028, "ds_files_count": 2, "ds_format": "tif", "ds_space_res": "10km", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "4b3b5669-89bd-43af-94c2-b7a443d858aa.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "a3ce23a2-c353-4383-a544-65c8f218579f", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2024-04-25 15:09:28", "last_updated": "2026-01-14 10:51:46", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.DVN.DB6416.2024", "license": null, "i18n": { "en": { "title": "GGCP10::A Global Gridded Crop Production Dataset at 10km Resolution from 2010 to 2020", "ds_format": "TIFF", "ds_source": "

 Global land-based satellite products.", "ds_quality": "

 The data quality is good.", "ds_ref_way": "", "ds_abstract": "

 Each year, the GGCPP10 of each crop is represented in a single band image. The pixel values of GGCPP10 correspond to the crop production data of their respective spatial grids, in thousands of tons. These data cover an 11 year period from 2010 to 2020. There are four crops: corn, wheat, rice, and soybeans. This data product has a total of 44 TIF images. The pixel value of the image represents the crop yield of the spatial grid, in thousands of tons

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   The GGCP10 dataset reveals the spatiotemporal distribution pattern of global crop production, which helps to reveal the driving mechanisms of crop production changes. It provides important data support for global food security and sustainable agricultural development research.

", "ds_time_res": "年", "ds_acq_place": "Global", "ds_space_res": "10km", "ds_projection": "", "ds_process_way": "

 Build a data-driven model to achieve prediction.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "作物生产", "时间序列数据", "网格数据", "农业遥感" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020 ], "ds_contributors": [ { "true_name": "吴炳方", "email": "wubf@aircas.ac.cn", "work_for": "中国科学院遥感与数字地球研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "吴炳方", "email": "wubf@aircas.ac.cn", "work_for": "中国科学院遥感与数字地球研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "吴炳方", "email": "wubf@aircas.ac.cn", "work_for": "中国科学院遥感与数字地球研究所", "country": "中国" } ], "category": "生态" }