中国内陆地表水数据集（ISWDC）以8天的时间分辨率和250米的空间分辨率绘制了2000-2016年中国陆地上大于0.0625平方公里的水体。它与国家参考数据密切相关，2000年、2005年和2010年的行列式系数（R2）均大于0.99，与GSW数据集具有很好的一致性、非常相似的变化动态以及不同区域相似的空间模式。ISWDC数据集可用于研究地表水系统的年际和季节变化。它还可作为其他地表水数据集验证的参考数据，以及区域和全球水文气候模型的输入参数。", "ds_source": "
该数据来源于MOD09Q1（https://ladsweb.modaps.eosdis.nasa.gov/search/）。", "ds_process_way": "
该数据集通过对Lu 等（2017）提出的阈值分割方法采用单波段逐一分割水体的方法提取地表水体边界，包括去除干扰、初步绘制水面图、获取年度水面掩膜、提取水面边界方法的后两个步骤进行更新和改进，得到该数据集。", "ds_quality": "
ISWDC与参考土地覆盖衍生的地表水数据高度一致。2000年、2005年和2010年的判定系数（R2）分别为0.9974、0.992和0.9932。混淆矩阵分析结果显示，3年中用户的平均准确率为91.13%，生产者的平均准确率为88.95%，平均卡帕系数为0.88。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2016-12-31 00:00:00", "ds_acq_place": "中国内陆地区", "ds_acq_lon_east": 135.04166666666666, "ds_acq_lat_south": 3.5, "ds_acq_lon_west": 73.5, "ds_acq_lat_north": 53.5, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 2258424563, "ds_files_count": 4, "ds_format": "tif,shp", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "Albers_Conic_Equal_Area", "ds_thumbnail": "a25e70d1-1b83-4b1d-9ff4-96ccf2c43cbe.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "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": "2023-09-22 10:42:16", "last_updated": "2026-01-14 10:34:16", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB4012.2023", "i18n": { "en": { "title": "China Inland Surface Water (ISWDC) Dataset (2000-2016)", "ds_format": "tif,shp", "ds_source": "
This data is sourced from MOD09Q1（ https://ladsweb.modaps.eosdis.nasa.gov/search/ ）.", "ds_quality": "
The ISWDC is highly consistent with the surface water data derived from the reference land cover. The determination coefficients (R2) for the years 2000, 2005, and 2010 were 0.9974, 0.992, and 0.9932, respectively. The confusion matrix analysis results show that the average accuracy of users over the past 3 years is 91.13%, the average accuracy of producers is 88.95%, and the average kappa coefficient is 0.88.", "ds_ref_way": "", "ds_abstract": "
The China Inland Surface Water Dataset (ISWDC) plotted water bodies over 0.0625 square kilometers on Chinese land from 2000 to 2016 with a temporal resolution of 8 days and a spatial resolution of 250 meters. It is closely related to national reference data, with determinant coefficients (R2) greater than 0.99 for the years 2000, 2005, and 2010. It has good consistency with the GSW dataset, very similar dynamic changes, and spatial patterns in different regions. The ISWDC dataset can be used to study the interannual and seasonal variations of surface water systems. It can also serve as reference data for validating other surface water datasets, as well as input parameters for regional and global hydroclimate models.
", "ds_time_res": "日", "ds_acq_place": "Inland regions of China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "This dataset is obtained by updating and improving the threshold segmentation method proposed by Lu et al. (2017), which uses a single wave segment to segment water bodies one by one to extract surface water body boundaries, including removing interference, preliminary drawing of water surface maps, obtaining annual water surface masks, and extracting the last two steps of the water surface boundary method.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "MOD09Q1", "内陆地表水", "年际和季节变化", "ISWDC" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国内陆地区" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016 ], "ds_contributors": [ { "true_name": "卢善龙", "email": "lusl@radi.ac.cn", "work_for": "中国科学院遥感与数字地球研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "卢善龙", "email": "lusl@radi.ac.cn", "work_for": "中国科学院遥感与数字地球研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "卢善龙", "email": "lusl@radi.ac.cn", "work_for": "中国科学院遥感与数字地球研究所", "country": "中国" } ], "category": "水文" }