本数据包含阿姆河流域Kashka darya, Zarafshan, Amu Bukhara, Amu Surkhan darya, 锡尔河流域Naryn, Qyzylorda, Kazalinskiy, Zhanakorganskiy, South Kazakhstan耕地矢量数据。空间分辨率为0.45m×0.45m，WGS-1984坐标系。
", "ds_source": "谷歌卫星影像数据.
", "ds_process_way": "原始卫星影像来源于美国谷歌地球，使用Bigmap商业软件下载获得，为了获得高分辨率下的无云影像，谷歌地球采用拼接方法将不同年份的数据整合到一起，因此下载的影像数据时间跨度为2016-2019年。使用机器识别方法预测出地块边界，将边界转为矢量数据，之后再将结果与谷歌影像叠加，由人工逐个检查修改错误信息，得到咸海流域耕地数据。最终结果采用WGS-1984坐标系。
", "ds_quality": "空间分辨率为0.45m×0.45m，准确率达90.32%，投影坐标为GCS_WGS_1984。
", "ds_acq_start_time": "2018-01-01 00:00:00", "ds_acq_end_time": "2018-12-31 00:00:00", "ds_acq_place": "咸海流域", "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": "apply-access", "ds_total_size": 631983114, "ds_files_count": 2, "ds_format": "shp", "ds_space_res": "0.45", "ds_time_res": "无", "ds_coordinate": "WGS84", "ds_projection": "WGS84", "ds_thumbnail": "7eb8498a-a2fa-4059-ae5c-f2fafd6b0385.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 1, "publish_time": "2025-04-22 17:27:10", "first_publish_time": null, "last_updated": "2025-05-28 17:44:22", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.ariddc.00370", "license": null, "extra": null, "files_shape": [ { "name": "Amu Darya.rar", "size": 532928038, "is_dir": false }, { "name": "Syr Darya.rar", "size": 99055076, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "Data of 0.45-meter cultivated land in the Aral Sea Basin in 2018", "ds_abstract": "This data includes vector data of cultivated land in Kashka darya, Zarafshan, Amu Bukhara, Amu Surkhan darya, Syr Darya Basin, Naryn, Qyzylorda, Kazalinskiy, Zhanakorganskiy, South Kazakhstan. The spatial resolution is 0.45m×0.45m in the WGS-1984 coordinate system.
", "ds_source": "Google satellite imaging data.
", "ds_process_way": "The original satellite image comes from Google Earth in the United States and is downloaded using Bigmap commercial software. In order to obtain cloud-free images at high resolution, Google Earth uses a splicing method to integrate data from different years, so the downloaded image data spans 2016-2019. Machine recognition methods are used to predict the boundary of the plot, convert the boundary into vector data, and then superimpose the results with Google images. The error information is manually checked and corrected one by one to obtain cultivated land data in the Aral Sea Basin. The final result uses the WGS-1984 coordinate system.
", "ds_quality": "The spatial resolution is 0.45m×0.45m, the accuracy rate is 90.32%, and the projection coordinates are GCS_WGS_1984.
", "ds_acq_place": "Aral Sea basin", "ds_format": "shp", "ds_projection": "WGS84", "ds_space_res": "0.45", "ds_time_res": "no" } }, "license_type": null, "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "耕地" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "咸海" ], "ds_time_tags": [ 2018 ], "ds_contributors": [ "钱静", "刘铁", "陈朝亮" ], "ds_meta_authors": [ "陈朝亮" ], "ds_managers": [ "刘铁" ], "category": "土地利用/土地覆被" }