伊洛河三门峡库区国家级重点治理区林草植被覆盖度图数据集包括河南省洛宁县、山西省垣曲县和河南省渑池县等区域2013年、2014年、2015年、2016年和2017年的林草植被覆盖度，基于空间分辨率为2米的卫星遥感影像加工获得，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、低覆盖度和裸地6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。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，并根据划分规则对植被覆盖度进行等级划分，最后使用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。
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2013-01-01 00:00:00", "ds_acq_end_time": "2017-12-31 00:00:00", "ds_acq_place": "伊洛河三门峡库区国家级重点治理区", "ds_acq_lon_east": 112.07666666666667, "ds_acq_lat_south": 34.09, "ds_acq_lon_west": 111.12944444444443, "ds_acq_lat_north": 35.425, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 33541785, "ds_files_count": 2, "ds_format": "TIF", "ds_space_res": "25.0m", "ds_time_res": "年", "ds_coordinate": "CGCS2000", "ds_projection": "高斯—克吕格", "ds_thumbnail": "db97e1a9-adf5-4d57-80c8-3d66766b3a27.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本部分数据为有偿共享，如需申请使用，请联系数据贡献者“黄河流域水土保持生态环境监测中心” 邮箱：1283337@qq.com 电话：029-82118273", "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": [], "quality_level": 3, "publish_time": "2021-01-04 14:40:20", "last_updated": "2024-03-19 15:13:06", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.HHSTBC.2020.167", "i18n": { "en": { "title": "Data set of forest and grass vegetation coverage map in Sanmenxia reservoir area of Yiluo River from 2013 to 2017", "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": "Good data quality
", "ds_ref_way": "", "ds_abstract": "The data set of forest and grass vegetation coverage map in Sanmenxia reservoir area of Yiluo River includes Luoning County of Henan Province, Yuanqu County of Shanxi Province and Mianchi County of Henan Province in 2013, 2014, 2015, 2016 and 2017. Based on the processing of satellite remote sensing image with spatial resolution of 2m, the vegetation coverage is divided into high coverage and medium high coverage The results showed that there were 6 grades of land cover, medium coverage, medium and low coverage, low coverage and bare land.
", "ds_time_res": "年", "ds_acq_place": "National key management area of Sanmenxia reservoir area of Yiluo River", "ds_space_res": "25.0m", "ds_projection": "", "ds_process_way": "Based on the method of remote sensing estimation, the normalized vegetation index (NDVI) was used to estimate the vegetation coverage by pixel dichotomy model. Firstly, the NDVI of each pixel is calculated by using the near infrared band and red band data of multispectral image. Then, the vegetation coverage of the whole region is calculated by using the model, and the vegetation coverage is classified according to the classification rules. Finally, the land use type data obtained by remote sensing interpretation and the vegetation coverage data obtained by remote sensing estimation are used for superposition operation to obtain the NDVI of each pixel Vegetation coverage information of each pixel.
", "ds_ref_instruction": "This part of data is paid for sharing, if you need to apply for use, please contact the data contributor \"Yellow River Basin Soil and water conservation ecological environment monitoring center\" email: 1283337@qq.com Tel: 029-82118273" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "伊洛河三门峡库区", "林草植被覆盖度", "洛宁县", "渑池县", "河南省", "重点治理区", "垣曲县", "山西省" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "垣曲县", "山西省", "渑池县", "伊洛河三门峡库区", "河南省", "洛宁县" ], "ds_time_tags": [ 2013, 2014, 2015, 2016, 2017 ], "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": "黄河流域水土保持生态环境监测中心", "email": "szyjdata@163.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": "szyjdata@163.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" }