本数据为2019年石羊河流域土地覆盖及作物类型数据，空间分辨率10m。本数据集基于野外实地调查样本数据和Sentinel-2多时相、多波段的遥感影像，对石羊河流域地表覆盖类型和作物类别进行解译。分类过程中，设置多组实验研究Sentinel-2的光谱-时相特征对农作物精细分类的影响，从而选出最优分类特征集并对随机森林算法进行训练，实现石羊河流域精细的地表覆盖分类。本数据采用的分类系统包含9个一级类（草地、荒漠、耕地、人造用地、水体、林地、冰川及雪地、灌木和湿地），8个二级类（小麦、玉米、向日葵、苜蓿、茴香、密瓜、向日葵蜜瓜套种和其他耕地），总体分类精度为95%。", "ds_source": "
Sentinel-2卫星遥感数据来源于欧空局哥白尼数据中心：https://scihub.copernicus.eu/dhus/#/home。", "ds_process_way": "
遥感数据拼接、裁剪得到全流域的遥感影像。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2019-01-01 00:00:00", "ds_acq_end_time": "2019-12-31 00:00:00", "ds_acq_place": "石羊河流域", "ds_acq_lon_east": 104.25, "ds_acq_lat_south": 37.12, "ds_acq_lon_west": 101.0, "ds_acq_lat_north": 39.519999999999996, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 26855240, "ds_files_count": 2, "ds_format": "tif", "ds_space_res": "10m", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "e8a44c7a-bf98-4012-9e0d-d6cdec930788.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "3aa98856-2cf9-444f-a9db-3992b8985eec", "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": "2023-08-23 15:49:35", "last_updated": "2025-05-29 17:26:48", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB3922.2023", "i18n": { "en": { "title": "Shiyang River Watershed 10-meter resolution land cover and crop type data (2019)", "ds_format": "tif", "ds_source": "
Sentinel-2 satellite remote sensing data from ESA Copernicus Data Center: https://scihub.copernicus.eu/dhus/#/home.", "ds_quality": "
Data quality is good.", "ds_ref_way": "", "ds_abstract": "
This data is the land cover and crop type data of Shiyang River Basin in 2019, with a spatial resolution of 10 m. This dataset is based on the sample data of the field field survey and the remote sensing imagery of Sentinel-2 with multi-temporal phase and multi-band, which is used to decipher the land cover type and crop category of Shiyang River Basin. During the classification process, several sets of experiments are set up to study the influence of the spectral-temporal features of Sentinel-2 on the fine classification of crops, so as to select the optimal classification feature set and train the Random Forest algorithm to realize the fine surface cover classification of Shiyang River Basin.\n
The classification system used in this data contains nine primary classes (grassland, desert, cropland, man-made land, water bodies, woodland, glacier and snow, shrubs and wetland), and eight secondary classes (wheat, maize, sunflower, alfalfa, fennel, milfoil, sunflower honeydew melon set, and other cropland), with an overall classification accuracy of 95%.
", "ds_time_res": "", "ds_acq_place": "shiyang river basin", "ds_space_res": "10m", "ds_projection": "", "ds_process_way": "Remote sensing data splicing and cropping to get the remote sensing image of the whole basin.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "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, "belong_to_nieer": false, "ds_topic_tags": [ "地表覆盖类型", "作物分类", "10米分辨率", "石羊河流域" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "石羊河流域" ], "ds_time_tags": [ 2019 ], "ds_contributors": [ { "true_name": "陈琪婷", "email": "chenqt@aircas.ac.cn", "work_for": "中国科学院空天信息创新研究院", "country": "中国" }, { "true_name": "易志伟", "email": "yizw2018@radi.ac.cn", "work_for": "中国科学院空天信息创新研究院", "country": "中国" }, { "true_name": "贾立", "email": "jiali@aircas.ac.cn", "work_for": "中国科学院空天信息创新研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "陈琪婷", "email": "chenqt@aircas.ac.cn", "work_for": "中国科学院空天信息创新研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "陈琪婷", "email": "chenqt@aircas.ac.cn", "work_for": "中国科学院空天信息创新研究院", "country": "中国" } ], "category": "其他" }