本数据集包含了伊塞克湖流域的种植结构，数据以.shp矢量格式存储，采用GCS_WGS_1984坐标系。分为菜地、草地、棉花等19个种植类别，36626个矢量斑块。
", "ds_source": "2019年哨兵2号数据。
", "ds_process_way": "从2019年中提取出5月-6月，7月-8月和9月-10月三个时间段，将每个时间段内云量最少，质量最高的哨兵2号数据拼接为一张完整地图，得到伊塞克湖流域三期哨兵2号遥感影像。在此基础上求出三期影像的NDVI结果，以哨兵2数据的不同波段和NDVI结果为基础，再结合耕地数据和实地采样数据，用随机森林算法对其分类，最终得到每个地块上的种植结构类型。
", "ds_quality": "空间分辨率为10m×10m，时间分辨率为年，Kappa系数0.8。
", "ds_acq_start_time": "2019-05-01 00:00:00", "ds_acq_end_time": "2019-10-31 00:00:00", "ds_acq_place": "伊塞克湖流域", "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": 5343249, "ds_files_count": 1, "ds_format": "shp", "ds_space_res": "10", "ds_time_res": "无", "ds_coordinate": "WGS84", "ds_projection": "WGS84", "ds_thumbnail": "be76b3f7-e682-4bf4-a3f8-54a782aeddee.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": [], "quality_level": 1, "publish_time": "2025-04-22 17:27:19", "first_publish_time": null, "last_updated": "2025-05-28 17:36:04", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.ariddc.00372", "license": null, "extra": null, "files_shape": [ { "name": "2019年伊塞克湖种植结构数据.rar", "size": 5343249, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "10-meter planting structure in the Isyk Lake Basin in Kyrgyzstan in 2019", "ds_abstract": "This dataset contains the planting structure of the Issyk Lake Basin. The data is stored in.shp vector format and uses the GCS_WGS_1984 coordinate system. It is divided into 19 planting categories such as vegetable fields, grassland, and cotton, with 36626 vector patches.
", "ds_source": "2019 Sentinel 2 data.
", "ds_process_way": "Three time periods from May to June, July to August and September to October were extracted from 2019, and the Sentinel 2 data with the least cloud cover and the highest quality in each time period were spliced into a complete map., obtain the third phase of Sentinel 2 remote sensing image of the Issyk Lake Basin. On this basis, the NDVI results of the three phases of images are calculated. Based on the different bands and NDVI results of Sentinel 2 data, combined with cultivated land data and field sampling data, random forest algorithm is used to classify them, and finally each plot is obtained. Planting structure type.
", "ds_quality": "The spatial resolution is 10m×10m, the temporal resolution is year, and the Kappa coefficient is 0.8.
", "ds_acq_place": "Issyk Lake Basin", "ds_format": "shp", "ds_projection": "WGS84", "ds_space_res": "10", "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": [ "种植结构" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "伊塞克湖" ], "ds_time_tags": [ 2019 ], "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" }