2020年塔里木河国家级重点预防区植被覆盖数据集包括新疆维吾尔自治区阿克苏市、乌什县、阿瓦提县、泽普县、莎车县、叶城县、麦盖提县、巴楚县、和田市、和田县、墨玉县、皮山县、洛浦县、策勒县、于田县、民丰县、阿合奇县、阿拉尔市2020年的植被覆盖统计表，基于空间分辨率为2米的卫星遥感影像加工获得，保存格式为xlsx，数据命名采用“所属重点治理区＋年份＋植被覆盖度统计表”的形式，如“××重点治理区××年植被覆盖度统计表”。植被覆盖度划分为高覆盖度、中高覆盖度、中覆盖度、中低覆盖度、低覆盖度5级。
", "ds_source": "数据源为资源三号和高分一号卫星影像，主要从水利部信息中心获取。
", "ds_process_way": "基于遥感估算的方法，利用归一化植被指数（NDVI）采用像元二分模型法进行植被盖度估算，方法是首先利用多光谱影像的近红外波段与红波段数据计算每个像元的NDVI，然后使用模型计算整个区域植被覆盖度。再将该区域遥感解译得到的土地利用类型数据和基于遥感估算得到的植被覆盖度数据做叠加运算，获得每个像元的植被覆盖度信息。最后根据划分规则对植被覆盖度进行等级划分，统计得到林草植被覆盖度统计表。
", "ds_quality": "1．遥感影像均经过辐射纠正、正射纠正以及融合、镶嵌等预处理。 2．最小图斑面积对应的实际地物面积不小于0.1h㎡，多边形无重叠、无空隙，图斑属性无空置或冗余。 3．遥感影像解译前，采用遥感影像、典型调查、与实地对照的方法建立林草样地遥感解译标志。 4．基于遥感影像，结合解译标志，提取土地利用类型。 5．解译结果复查：抽取不少于总图斑的5%进行核查。 6．野外验证样本数量和成果满足《水土保持遥感监测技术规范》（SL592-2012）的要求，对于核查图斑，抽取10%作为验证样本进行实地验证。
", "ds_acq_start_time": "2020-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "塔里木河国家级重点预防区", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 441230, "ds_files_count": 2, "ds_format": "xlsx", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "2b98e72e-46b6-4f14-b556-b942d11f6605.png", "ds_thumb_from": 2, "ds_ref_way": "黄河流域水土保持生态环境监测中心，2020年塔里木河国家级重点预防区植被覆盖数据集，国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2021，doi：10.12072/ncdc.hhstbc.db2630.2022", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "18fc6591-ef53-4202-bc01-c3961ad212d2", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2021-10-27 14:08:13", "last_updated": "2025-10-15 14:48:14", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.HHSTBC.2021.284", "license": null, "i18n": { "en": { "title": "Vegetation cover data set of national key prevention area of Tarim River in 2020", "ds_format": "", "ds_source": "The data sources are ZY-3 and Gao FEN-1 satellite images, which are mainly obtained from the information center of the Ministry of water resources.
", "ds_quality": "The vegetation cover data set of national key prevention areas of Tarim River in 2020 includes Aksu City, Wushi County, Awati County, Zepu County, Shache County, Yecheng County, Maigaiti County, Bachu County, Hotan City, Hotan County, Moyu County, Pishan County, Luopu County, Cele County, Yutian County, Minfeng County, Aheqi County, etc The vegetation coverage statistical table of alar city in 2020 is based on the processing of satellite remote sensing image with spatial resolution of 2m, and the storage format is xlsx. The data naming adopts the form of \"key management area + year + vegetation coverage statistical table\", such as“ ×× Key governance areas ×× Statistical table of annual vegetation coverage. The vegetation coverage is divided into five levels: high coverage, medium high coverage, medium coverage, medium low coverage and low coverage.
", "ds_time_res": "", "ds_acq_place": "Tarim River National key prevention area", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Based on the method of remote sensing estimation, the normalized vegetation index (NDVI) is used to estimate the vegetation coverage by using the pixel dichotomy model. The method is to first calculate the NDVI of each pixel using the near infrared band and red band data of multispectral images, and then use the model to calculate the vegetation coverage of the whole region. Then the land use type data from remote sensing interpretation and the vegetation coverage data from remote sensing estimation are superimposed to obtain the vegetation coverage information of each pixel. Finally, according to the classification rules, the vegetation coverage was classified, and the statistical table of forest and grass vegetation coverage was obtained.
", "ds_ref_instruction": " " } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "植被覆盖度统计表，高、中高、中、中低、低林草不同覆盖度面积及比例，水力侵蚀区" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "塔里木河国家级重点预防区，新疆维吾尔自治区，阿克苏市，乌什县，阿瓦提县，泽普县，莎车县，叶城县，麦盖提县，巴楚县，和田市，和田县，墨玉县，皮山县，洛浦县，策勒县，于田县，民丰县，阿合奇县，阿拉尔市" ], "ds_time_tags": [], "ds_contributors": [ { "true_name": "黄河流域水土保持生态环境监测中心", "email": "1283337@qq.com", "work_for": "黄河流域水土保持生态环境监测中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "赵妍", "email": "447698395@qq.com", "work_for": "黄河流域水土保持生态环境监测中心", "country": "中国" } ], "ds_managers": [ { "true_name": "黄河流域水土保持生态环境监测中心", "email": "1283337@qq.com", "work_for": "黄河流域水土保持生态环境监测中心", "country": "中国" } ], "category": "水土保持" }