黄河三角洲是我国暖温带中最年轻、最完整的湿地生态系统，是我国第二大河口三角洲，同时也是我国生态较脆弱的地区之一。自20世纪80年代开始，人类活动在不同程度上影响了黄河三角洲生态环境，显著改变了黄河三角洲的土地覆被类型。植被是陆地生态系统的重要组成部分，其动态变化是生态环境状况的敏感指标。EVI（增强植被指数）是对植被生态系统健康和生产力准确评估的指标，能够有效表征植被覆盖度及其变化特征。在黄河三角洲的剧烈土地类型变化背景下，为生态系统演变及其驱动因素分析提供科学依据。
", "ds_source": "黄河三角洲是我国最年轻、最完整的河口湿地生态系统，湿地演变剧烈使其成为我国生态较脆弱的地区之一，亟需监测其生态环境的时空演变。然而，由于遥感数据空间分辨率与时间分辨率之间的权衡，单一传感器很难获得高时空分辨率的遥感数据。因此，本研究基于Landsat和MODIS数据集，通过使用灵活的时空数据融合方法（Flexible Spatiotemporal Data Fusion，FSDAF）和时间序列线性拟合模型（Time Series Linear Fitting Model，TSLFM），首次获得了2000-2020年黄河三角洲地区8 d时间分辨率、30 m空间分辨率的增强植被指数（Enhanced vegetation index，EVI）数据集。
", "ds_process_way": "为保证数据集的准确性和可靠度，本数据从数据源的质控，融合模型的选择，以及模型独立验证进行质量控制，且获得了较好的验证结果（R2>0.92）以及较好的空间格局。本数据能很好反映黄河三角洲植被长期动态变化的空间格局，为研究黄河三角洲复杂植被动态、植被生产力等提供数据支撑。
", "ds_quality": "数据质量良好。
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "黄河三角洲", "ds_acq_lon_east": 119.5, "ds_acq_lat_south": 38.11666666666667, "ds_acq_lon_west": 118.5, "ds_acq_lat_north": 37.5, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 367482948, "ds_files_count": 41, "ds_format": "*.tif", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "86c996f5-cb54-47c7-99b1-1818dae9dead.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "b412fac3-1f10-4eb6-9d10-c51bcea30d0c", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "lihongxing@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170" ], "quality_level": 3, "publish_time": "2025-05-22 11:25:15", "last_updated": "2026-01-13 08:39:31", "protected": false, "protected_to": null, "lang": "zh", "cstr": "https://cstr.cn/15732.11.sciencedb.ecodb.00147", "license": null, "i18n": { "en": { "title": "High Spatiotemporal resolution EVI fusion dataset on the Yellow River Delta from 2000 to 2020", "ds_format": "", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "", "ds_time_res": "", "ds_acq_place": "", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "增强植被指数（EVI）", "黄河三角洲", "高时空分辨率" ], "ds_subject_tags": [ "地球科学" ], "ds_class_tags": [], "ds_locus_tags": [ "黄河三角洲" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020 ], "ds_contributors": [ { "true_name": "牛忠恩", "email": "niuzhongen@163.com", "work_for": "鲁东大学，水利土木学院", "country": "中国" }, { "true_name": "麦子琪", "email": "ziqimai321@gmail.com", "work_for": "鲁东大学，资源与环境工程学院", "country": "中国" }, { "true_name": "赵英", "email": "yzhaosoils@gmail.com", "work_for": "鲁东大学，水利土木学院", "country": "中国" }, { "true_name": "李琳琳", "email": "2240902142@cnu.edu.cn", "work_for": "首都师范大学，资源环境与旅游学院", "country": "中国" }, { "true_name": "李茜雨", "email": "lixiyu1166@163.com", "work_for": "山东师范大学，地理与环境学院", "country": "中国" }, { "true_name": "王彬", "email": "wangbinlky@163.com", "work_for": "鲁东大学，资源与环境工程学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "牛忠恩", "email": "niuzhongen@163.com", "work_for": "鲁东大学，水利土木学院", "country": "中国" }, { "true_name": "赵英", "email": "yzhaosoils@gmail.com", "work_for": "鲁东大学，水利土木学院", "country": "中国" } ], "ds_managers": [ { "true_name": "牛忠恩", "email": "niuzhongen@163.com", "work_for": "鲁东大学，水利土木学院", "country": "中国" } ], "category": "生态" }