2008年7月22日，针对7月23日的LandSat TM数据，在阿柔加密观测区开展了狼毒和棘豆盖度的加密调查，主要通过照相法观测狼毒覆盖度，并开展样方调查工作。本数据可为TM卫星数据反演毒草覆盖度提供基本的地面验证数据集。\n
\n照相法观测狼毒覆盖度。样方规格：51m×51m，针对不同的覆盖度共计调查了10个样方，每个大样方分为17×17个3m×3m的格子。在格子角上采用普通相机拍照，每个样方拍摄324张。照相：使用的相机为尼康D80，标配18-135mm镜头，照相高度为1.5米，正对地面向下照。\n
\n样方调查数据存储：Excel格式表格。主要调查的项目有：GPS点号、物种、株数、高度、覆盖度、生物量。（1）GPS点号用GARMIN GPS 76记录。（2）物种采用人工识别的方法。（3）株数采用人工数的方法。（4）高度用卷尺测量，4－5个重复。（5）覆盖度采用人工估计的方法。在0.5m×0.5m的大格子内细分为100个小格，数其中狼毒所占格数。（6）生物量取0.5m×0.5m样品，称鲜重，杀青后烘干，称干重。\n
\n该数据集包括：同步TM影像文件夹，样方覆盖度调查照片文件夹，GPS记录点文件、覆盖度文件，样方调查表文件（包括株高和物种方格数）。
", "ds_source": "照相法观测狼毒覆盖度。样方规格：51m×51m，针对不同的覆盖度共计调查了10个样方，每个大样方分为17×17个3m×3m的格子。在格子角上采用普通相机拍照，每个样方拍摄324张。照相：使用的相机为尼康D80，标配18-135mm镜头，照相高度为1.5米，正对地面向下照。\n
\n样方调查数据存储：Excel格式表格。主要调查的项目有：GPS点号、物种、株数、高度、覆盖度、生物量。\n
\n（1）GPS点号用GARMIN GPS 76记录。\n
\n（2）物种采用人工识别的方法。\n
\n（3）株数采用人工数的方法。\n
\n（4）高度用卷尺测量，4－5个重复。\n
\n（5）覆盖度采用人工估计的方法。在0.5m×0.5m的大格子内细分为100个小格，数其中狼毒所占格数。\n
\n（6）生物量取0.5m×0.5m样品，称鲜重，杀青后烘干，称干重。
", "ds_process_way": "\n该数据集包括：同步TM影像文件夹，样方覆盖度调查照片文件夹，GPS记录点文件、覆盖度文件，样方调查表文件（包括株高和物种方格数）。
\n", "ds_quality": "\n数据质量良好
", "ds_acq_start_time": "2008-07-22 00:00:00", "ds_acq_end_time": "2008-07-23 00:00:00", "ds_acq_place": "黑河流域,阿柔加密观测区,上游寒区水文试验区", "ds_acq_lon_east": 100.75, "ds_acq_lat_south": 38.06666666666667, "ds_acq_lon_west": 101.91666666666667, "ds_acq_lat_north": 39.15, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 3019281891, "ds_files_count": 2, "ds_format": "dat", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "bf4c069f-9b01-416d-ad2d-f344d04923a3.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本数据由“黑河综合遥感联合试验”产生，用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "14df1d8b-6362-4c0f-b88e-b46d4abe5db9", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596 ", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-08-26 18:01:54", "last_updated": "2025-06-30 16:05:44", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1841", "i18n": { "en": { "title": "Heihe River Integrated Remote Sensing joint experiment: Landsat TM ground synchronous observation data set in ARW encrypted observation area (July 22, 2008)", "ds_format": "dat", "ds_source": "Photographic observation of Stellera chamaejasme coverage. Sample specification: 51m × 51m, a total of 10 quadrats are investigated for different coverage, and each large quadrat is divided into 17 × 17 3M × 3M grid. Take 324 photos of each quadrat with an ordinary camera at the corner of the grid. Photography: the camera used is Nikon D80, with a standard 18-135mm lens, with a photography height of 1.5m, facing the ground downward.\n
\nQuadrat survey data storage: Excel format table. The main items investigated are: GPS point number, species, number of plants, height, coverage and biomass.\n
\n（ 1) The GPS point number is recorded with Garmin GPS 76.\n
\n（ 2) Species were identified manually.\n
\n（ 3) The number of plants adopts the method of labor.\n
\n（ 4) Measure the height with a tape measure, 4-5 repetitions.\n
\n（ 5) The coverage is estimated manually. At 0.5m × The large grid of 0.5m is subdivided into 100 small grids, of which chamaejasme accounts for the number of grids.\n
\n（ 6) The biomass is taken as 0.5m × 0.5m sample, weigh fresh weight, dry weight after killing green
", "ds_quality": "\nGood data quality
", "ds_ref_way": "", "ds_abstract": "On July 22, 2008, according to the Landsat TM data on July 23, the encryption survey of Stellera chamaejasme and Oxytropis coverage was carried out in the aro encryption observation area. The coverage of Stellera chamaejasme was mainly observed by photography, and the quadrat survey was carried out. This data can provide a basic ground verification data set for TM satellite data inversion of poisonous grass coverage.\n
\nPhotographic observation of Stellera chamaejasme coverage. Sample specification: 51m × 51m, a total of 10 quadrats are investigated for different coverage, and each large quadrat is divided into 17 × 17 3M × 3M grid. Take 324 photos of each quadrat with an ordinary camera at the corner of the grid. Photography: the camera used is Nikon D80, with a standard 18-135mm lens, with a photography height of 1.5m, facing the ground downward.\n
\nQuadrat survey data storage: Excel format table. The main items investigated are: GPS point number, species, number of plants, height, coverage and biomass（ 1) The GPS point number is recorded with Garmin GPS 76（ 2) Species were identified manually（ 3) The number of plants adopts the method of labor（ 4) Measure the height with a tape measure, 4-5 repetitions（ 5) The coverage is estimated manually. At 0.5m × The large grid of 0.5m is subdivided into 100 small grids, of which chamaejasme accounts for the number of grids（ 6) The biomass is taken as 0.5m × 0.5m sample, weigh fresh weight, dry weight after killing green.\n
\nThe data set includes: synchronous TM image folder, quadrat coverage survey photo folder, GPS record point file, coverage file, quadrat questionnaire file (including plant height and species grid number)
", "ds_time_res": "日", "ds_acq_place": "Heihe River Basin, a rou intensive observation area, upstream cold region, hydrological test area", "ds_space_res": "", "ds_projection": "", "ds_process_way": "\nThe data set includes: synchronous TM image folder, quadrat coverage survey photo folder, GPS record point file, coverage file, quadrat questionnaire file (including plant height and species grid number)\n
", "ds_ref_instruction": "This data was generated by the \"Heihe Comprehensive Remote Sensing Joint Experiment\". When using the data, please clearly state the source of the data in the main text and cite the citation provided by this metadata in the reference section." } }, "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, "is_paper_in_submitting": false, "ds_topic_tags": [ "黑河", "狼毒覆盖", "阿柔加密观测站", "航天遥感", "植被", "生物量", "植被盖度", "可见光遥感" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "上游寒区水文试验区", "阿柔加密观测区" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "刘超", "email": "lc287@126.com", "work_for": "中国科学院西北生态环境资源研究院", "country": "" }, { "true_name": "马明国", "email": "mmg@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "冉有华", "email": "ranyh@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "冉有华", "email": "ranyh@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "刘超", "email": "lc287@126.com", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "category": "遥感及产品" }