本数据集基于国内外立体成像卫星数据成果进行优化、局部修正与纠偏，采取粗差修正、空值填充和水域数值异常剔除等处理方法，经过图像拼接、投影转化、裁剪等步骤，生成了优化的30m分辨率数字高程模型（DEM），数据成像时间为2019年。
", "ds_source": "原始DEM数据来自于Aster、ZY、欧比特等国内外卫星数据资源，Geotiff格式，参考大地水准面为WGS84/EGM96。
", "ds_process_way": "将DEM分幅数据，利用ArcGIS批量处理工具进行格式转换、拼接、裁剪等处理得到30 m分辨率DEM数据。
", "ds_quality": "数据空间分辨率为1弧度秒（约30m）,无效像素值为-9999,海平面数据为0,垂直精度20m，水平精度30m。
", "ds_acq_start_time": "2020-08-01 00:00:00", "ds_acq_end_time": "2020-08-31 00:00:00", "ds_acq_place": "印度", "ds_acq_lon_east": 68.96666666666667, "ds_acq_lat_south": 37.96666666666667, "ds_acq_lon_west": 97.41666666666667, "ds_acq_lat_north": 8.65, "ds_acq_alt_low": 1.0, "ds_acq_alt_high": 3598.0, "ds_share_type": "login-access", "ds_total_size": 12007540986, "ds_files_count": 5, "ds_format": "Tiff", "ds_space_res": "30m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "GCS_WGS_1984", "ds_thumbnail": "27f0ffa4-73e0-42a8-813d-11a955695260.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本数据用1:25000分幅上传，使用者全部下载后镶嵌栅格即可。", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李红星 ", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.3510" ], "quality_level": 3, "publish_time": "2020-11-04 00:48:03", "last_updated": "2025-04-24 16:30:29", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1679", "i18n": { "en": { "title": "30m Resolution Digital Elevation Model (DEM) Data of India", "ds_format": "Tiff", "ds_source": "The original DEM data originates from both domestic and international satellite sources including ASTER, ZY, and Obit, in GeoTIFF format, with WGS84/EGM96 as the vertical datum.
", "ds_quality": "The dataset features a spatial resolution of 1 arc-second (~30m), with invalid pixel values set to -9999, sea level data as 0, vertical accuracy of 20m, and horizontal accuracy of 30m.
", "ds_ref_way": "", "ds_abstract": "This dataset was optimized through refinement, local corrections, and rectification based on domestic and international stereo imaging satellite data. By applying processing methods including gross error correction, null value filling, and removal of abnormal waterbody values, an optimized 30m resolution DEM was generated through image mosaicking, projection transformation, and cropping. The data imaging timeframe corresponds to 2019.
", "ds_time_res": "", "ds_acq_place": "India", "ds_space_res": "30m", "ds_projection": "GCS_WGS_1984", "ds_process_way": "The DEM tiled data was processed using ArcGIS batch processing tools for format conversion, mosaicking, and cropping to produce the 30m resolution DEM.
", "ds_ref_instruction": "This data is uploaded in 1:25000 frames, and users can embed the grid after downloading all of them." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "ds_topic_tags": [ "DEM", "SRTM", "SRTM1", "SRTM3", "SRTM30" ], "ds_subject_tags": [ "地球形状学" ], "ds_class_tags": [], "ds_locus_tags": [ "印度", "亚洲半岛", "中国南部" ], "ds_time_tags": [ 2020 ], "ds_contributors": [ { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" } ], "ds_managers": [ { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" } ], "category": "基础地理" }