该数据集包含2018年6月5日至12月15日黑河流域地表过程综合观测网中游大满超级站的物候相机观测数据，该仪器由北京师范大学自主研发并进行处理。物候相机集成数据获取与数据传输功能。该物候相机采用垂直向下的方式采集数据，拍摄数据分辨率为1280*720，可指定拍摄时间频率。对于绿度指数物候期计算，需要根据感兴趣区域计算相对绿度指数（GCC, Green Chromatic Coordinate公式为GCC=G/(R+G+B), R、G、B为图像红、绿、蓝三通道像元值），然后进行无效值填充和滤波平滑，最后根据生长曲线拟合确定关键物候期参数，如生长季起始日、顶峰、生长季结束日等；对于覆盖度，首先进行数据预处理，选择光照不太强的图像，然后将图像分割为植被和土壤，计算每张图像的植被像素占计算区域内的比例作为该图像对应的覆盖度，在时间序列数据提取完成以后，再按用户指定的时间窗口对原始覆盖度数据进行平滑滤波，滤波后的得结果为最终的时间序列覆盖度。本数据集包括相对绿度指数（GCC）、物候期及覆盖度（FC）。
\n黑河流域地表过程综合观测网或站点信息请参考Liu et al. (2018)。。
", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "2018-06-05 00:00:00", "ds_acq_end_time": "2018-12-15 00:00:00", "ds_acq_place": "黑河流域,中游人工绿洲试验区,大满超级站", "ds_acq_lon_east": 100.38, "ds_acq_lat_south": 38.85277777777778, "ds_acq_lon_west": 100.38, "ds_acq_lat_north": 38.85277777777778, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 15612, "ds_files_count": 1, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "a286fd88-96ad-47c8-98ea-0ea3ec551aca.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "7314e349-6d56-45d3-93c1-5068a74cdfde", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 0, "publish_time": "2026-04-22 16:02:58", "last_updated": "2026-04-22 16:03:45", "protected": false, "protected_to": null, "lang": "zh", "cstr": null, "i18n": { "en": { "title": "Qilian Mountain Comprehensive Observation Network: Heihe River Basin Surface Process Comprehensive Observation Network (Daman Super Station Phenology Camera Observation Dataset -2018)", "ds_ref_way": "Qu Yonghua, Xu Ziwei, Li Xin Qilian Mountain Comprehensive Observation Network: Heihe River Basin Surface Process Comprehensive Observation Network (Daman Super Station Phenology Camera Observation Dataset -2018) Time Space Three Pole Environment Big Data Platform, October 1888/ Meteoro.tpdc.270760[QU Yonghua,XU Ziwei,LI Xin.Qilian Mountains integrated observatory network: Dataset of the Heihe River Basin integrated observatory network (phenology camera observation dataset of Daman superstation, 2018).A Big Earth Data Platform for Three Poles,10.11888/Meteoro.tpdc.270760]", "ds_abstract": "This dataset contains phenological camera observation data from the middle reaches of the Daman super station in the comprehensive observation network of surface processes in the Heihe River Basin from June 5 to December 15, 2018. The instrument was independently developed and processed by Beijing Normal University. Phenological camera integrates data acquisition and transmission functions. This phenological camera collects data vertically downwards, with a shooting resolution of 1280 * 720, and can specify the shooting time and frequency. For calculating the phenological period of greenness index, it is necessary to calculate the relative greenness index based on the region of interest (GCC, Green Chromatic Coordinate formula is GCC=G/(R+G+B), where R, G, and B are the pixel values of the red, green, and blue channels in the image), then fill in invalid values and filter smoothing. Finally, key phenological parameters such as the start date, peak, and end date of the growing season are determined by fitting the growth curve; For coverage, data preprocessing is first performed by selecting images with less intense lighting. The images are then segmented into vegetation and soil, and the proportion of vegetation pixels in each image within the calculation area is calculated as the corresponding coverage for that image. After the time series data extraction is completed, the original coverage data is smoothed and filtered according to the user specified time window. The filtered result is the final time series coverage. This dataset includes the relative greenness index (GCC), phenological period, and coverage (FC).
" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0 (Creative Commons Attribution 4.0 International License)", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "ds_topic_tags": [ "相对绿度指数", "覆盖度", "植被", "物候期" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中游人工绿洲试验区", "大满超级站", "黑河流域" ], "ds_time_tags": [ 2018 ], "ds_contributors": [ { "true_name": "屈永华", "email": "qyh@bnu.edu.cn", "work_for": "北京师范大学", "country": "中国" }, { "true_name": "徐自为", "email": "xuzw@bnu.edu.cn", "work_for": "北京师范大学地理学与遥感科学学院", "country": "中国" }, { "true_name": "李新", "email": "lixin@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "屈永华", "email": "qyh@bnu.edu.cn", "work_for": "北京师范大学", "country": "中国" }, { "true_name": "徐自为", "email": "xuzw@bnu.edu.cn", "work_for": "北京师范大学地理学与遥感科学学院", "country": "中国" }, { "true_name": "李新", "email": "xinli@itpcas.ac.cn", "work_for": "中国科学院青藏高原研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "徐自为", "email": "xuzw@bnu.edu.cn", "work_for": "北京师范大学地理学与遥感科学学院", "country": "中国" } ], "category": "生态" }