黑河流域土地利用覆盖数据集提供了2011-2015年的月度地表类型覆盖数据，该数据利用我国国产卫星HJ/CCD数据兼具较高时间分辨率（组网后2天）和空间分辨率（30m）的特点构造时间序列数据，针对各类地物随时间变化呈现的NDVI时间序列曲线不同，对不同地物特征进行知识归纳，设定提取规则不同地物信息。\n
黑河流域土地利用覆盖数据集保留了传统的土地利用图的基本类别信息，包括水体，城镇，耕地，常绿针叶林，落叶阔叶林等，同时增加了对耕地范围的作物精细分类（包括玉米、大麦、油菜、春小麦等主要作物信息）、更新了上游冰川、积雪等信息，使黑河流域的土地覆盖信息更为详细。 通过和黑河流域历史土地利用图以及其他植被覆盖产品相比，黑河流域土地利用覆盖数据集的分类效果在视觉上都要优于其他数据，利用黑河中游实地调研数据，中游的作物精细分类信息精度也较高。由Google Earth高清影像和实地调研数据对2012年的分类结果进行精度评价，总体精度达到92.19%。\n
总之，黑河流域土地利用覆盖数据集不仅具有较高总体精度而且细化了耕地范围的作物信息，更新了冰川、积雪等地类信息，是精度更高、分类更细的黑河流域地表分类数据。
", "ds_source": "黑河流域土地利用覆盖数据集提供了2011-2015年的月度地表类型覆盖数据，该数据利用我国国产卫星HJ/CCD数据兼具较高时间分辨率（组网后2天）和空间分辨率（30m）的特点构造时间序列数据。
", "ds_process_way": "通过和黑河流域历史土地利用图以及其他植被覆盖产品相比，黑河流域土地利用覆盖数据集的分类效果在视觉上都要优于其他数据，利用黑河中游实地调研数据，中游的作物精细分类信息精度也较高。由Google Earth高清影像和实地调研数据对2012年的分类结果进行精度评价，总体精度达到92.19%。
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2011-01-01 00:00:00", "ds_acq_end_time": "2016-01-01 00:00:00", "ds_acq_place": "黑河流域", "ds_acq_lon_east": 101.75, "ds_acq_lat_south": 37.25, "ds_acq_lon_west": 97.75, "ds_acq_lat_north": 42.1, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 320867721, "ds_files_count": 7, "ds_format": "tif", "ds_space_res": "/", "ds_time_res": "月", "ds_coordinate": "WGS84", "ds_projection": "/", "ds_thumbnail": "722100ec-d84e-474f-91d6-39a54c5131ff.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本数据由“黑河生态水文遥感试验（HiWATER）”产生，用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "c94b3578-20da-4346-9de9-c702b6ca8983", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-09-14 09:56:17", "last_updated": "2025-05-29 16:19:02", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.45", "i18n": { "en": { "title": "Heihe River eco hydrological remote sensing experiment: land use and cover data set of Heihe River Basin (2011-2015)", "ds_format": "TIFF", "ds_source": "The land use cover data set of Heihe River basin provides monthly surface type cover data from 2011 to 2015. The data uses the characteristics of domestic satellite HJ / CCD data with high time resolution (2 days after Networking) and spatial resolution (30M) to construct time series data
", "ds_quality": "Good data quality
", "ds_ref_way": "", "ds_abstract": "The land use cover data set of Heihe River basin provides the monthly surface type cover data from 2011 to 2015. The data uses the characteristics of domestic satellite HJ / CCD data with high time resolution (2 days after Networking) and spatial resolution (30M) to construct time series data. For different NDVI time series curves of various ground objects with time change, Summarize the knowledge of different feature features and set extraction rules for different feature information
The land use cover data set of Heihe River Basin retains the basic category information of the traditional land use map, including water body, town, cultivated land, evergreen coniferous forest, deciduous broad-leaved forest, etc. at the same time, it adds the fine classification of crops within the cultivated land range (including the information of main crops such as corn, barley, rape and spring wheat), and updates the information of upstream glaciers and snow cover, Make the land cover information of Heihe River Basin more detailed. Compared with the historical land use map of Heihe River Basin and other vegetation cover products, the classification effect of Heihe River basin land use cover data set is better than other data visually. Using the field survey data of the middle reaches of Heihe River, the precision of crop fine classification information in the middle reaches of Heihe River is also high. The accuracy of the classification results in 2012 was evaluated by Google Earth HD images and field survey data, and the overall accuracy reached 92.19%
In short, the land use cover data set of Heihe River basin not only has high overall accuracy, but also refines the crop information of cultivated land and updates the land type information such as glacier and snow. It is the surface classification data of Heihe River basin with higher accuracy and finer classification
", "ds_time_res": "月", "ds_acq_place": "Heihe River Basin", "ds_space_res": "/", "ds_projection": "/", "ds_process_way": "Compared with the historical land use map of Heihe River Basin and other vegetation cover products, the classification effect of Heihe River basin land use cover data set is better than other data visually. Using the field survey data of the middle reaches of Heihe River, the precision of crop fine classification information in the middle reaches of Heihe River is also high. The accuracy of the classification results in 2012 was evaluated by Google Earth HD images and field survey data, and the overall accuracy reached 92.19%
", "ds_ref_instruction": "This data is generated by \"Heihe eco hydrological remote sensing experiment (hiwater)\". When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the reference part." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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, "ds_topic_tags": [ "遥感产品", "生态遥感产品", "LUCC数据" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域" ], "ds_time_tags": [ 2011, 2012, 2013, 2014, 2015 ], "ds_contributors": [ { "true_name": "仲波", "email": "zhongbo@radi.ac.cn", "work_for": "中国科学院遥感与数字地球研究所遥感科学国家重点实验室", "country": "中国" }, { "true_name": "杨爱霞", "email": "yangax@radi.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": "杨爱霞", "email": "yangax@radi.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": "杨爱霞", "email": "yangax@radi.ac.cn", "work_for": "中国科学院空天信息创新研究院", "country": "中国" } ], "category": "遥感及产品" }