{ "created": "2019-12-24 09:33:43", "updated": "2026-05-09 08:00:35", "id": "10305f52-0106-432b-822a-f91d6e259483", "version": 5, "ds_topic": null, "title_cn": "黑河综合遥感联合试验：扁都口加密观测区MODIS、ALOS PALSAR和AMSR-E地面同步观测数据集（2008年5月24日）", "title_en": "Heihe River Integrated Remote Sensing joint test: MODIS, alos PALSAR and AMSR-E ground synchronous observation data sets in biandukou encrypted observation area (May 24, 2008)", "ds_abstract": "

  2008年5月24日，在扁都口加密观测区开展了针对MODIS、ALOS PALSAR和AMSR-E的地面同步观测，ALOS PALSAR数据未获取。测量内容主要为地表温度、土壤水分、地物光谱、植被覆盖度和探地雷达。\n

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  1. 地表温度：扁都口样方1：草地；扁都口样方2：油菜地；扁都口样方3：油菜地；扁都口样方4：麦地 扁都口样方5：大麦和油菜混合地\n

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  2. 土壤水分：采用WET土壤水分速测仪。取样样带：扁都口样方2油菜地。\n

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  3. 探地雷达：同时测量探地雷达和WET土壤水分速测仪数据。\n

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  4. 波谱测量仪器采用的是ASD Fieldspec FRTM（Boulder, Co, USA），波谱范围为350nm-2500nm，在可见光近红外波段波谱分辨率为3nm，在短波红外波谱分辨率为10nm。数据为ASCII格式，可以使用记事本、写字板等软件打开。文件前5行为文件头，描述了数据的相关信息；之后两列数据，一列代表波长，一列代表反射率（百分反射率）。原始文件夹中后缀为.txt的文件不是反射率，是计算反射率的中间文件。原始数据中文件为ASD自带格式，用ASD Viewspec软件打开。\n

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  地表温度测量使用的仪器是手持式红外温度计，测量了地表的红外辐射温度和土壤表层的物理温度。同时记录了测量点的地表类型。测量使用的是手持式红外温度计的近距离测量模式。土壤水分测量数据采用WET土壤水分速测仪和环刀测量。数据文件可以用Microsoft Office软件打开。\n

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  本数据集包括：\n

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  （1）土壤水分测量数据（包括WET土壤水分速测仪和环刀测量）\n

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  （2）地表温度测量数据\n

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  （3）探地雷达测量数据\n

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  （4）地表覆盖度照片及预处理数据\n

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  （5）地物光谱数据\n

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  （6）卫星影像数据", "ds_source": "

  2008年5月24日，在扁都口加密观测区开展了针对MODIS、ALOS PALSAR和AMSR-E的地面同步观测，ALOS PALSAR数据未获取。测量内容主要为地表温度、土壤水分、地物光谱、植被覆盖度和探地雷达。", "ds_process_way": "

  地表温度：扁都口样方1：草地；扁都口样方2：油菜地；扁都口样方3：油菜地；扁都口样方4：麦地 扁都口样方5：大麦和油菜混合地\n

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  土壤水分：采用WET土壤水分速测仪。取样样带：扁都口样方2油菜地。\n

\n

  探地雷达：同时测量探地雷达和WET土壤水分速测仪数据。\n

\n

  波谱测量仪器采用的是ASD Fieldspec FRTM（Boulder, Co, USA），波谱范围为350nm-2500nm，在可见光近红外波段波谱分辨率为3nm，在短波红外波谱分辨率为10nm。数据为ASCII格式，可以使用记事本、写字板等软件打开。文件前5行为文件头，描述了数据的相关信息；之后两列数据，一列代表波长，一列代表反射率（百分反射率）。原始文件夹中后缀为.txt的文件不是反射率，是计算反射率的中间文件。原始数据中文件为ASD自带格式，用ASD Viewspec软件打开。\n

\n

  地表温度测量使用的仪器是手持式红外温度计，测量了地表的红外辐射温度和土壤表层的物理温度。同时记录了测量点的地表类型。测量使用的是手持式红外温度计的近距离测量模式。土壤水分测量数据采用WET土壤水分速测仪和环刀测量。数据文件可以用Microsoft Office软件打开。", "ds_quality": "

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  数据质量良好

", "ds_acq_start_time": "2008-05-24 00:00:00", "ds_acq_end_time": "2008-05-25 00:00:00", "ds_acq_place": "黑河流域,扁都口加密观测区,上游寒区水文实验站", "ds_acq_lon_east": 100.44305555555556, "ds_acq_lat_south": 38.04333333333333, "ds_acq_lon_west": 100.58972222222222, "ds_acq_lat_north": 38.973888888888894, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 712865969, "ds_files_count": 2, "ds_format": "doc,pds,pass,txt,jpg", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "10305f52-0106-432b-822a-f91d6e259483.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": "10.12072/ncdc.NIEER.db1915.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-03-16 08:53:41", "last_updated": "2025-06-30 16:05:47", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1826", "i18n": { "en": { "title": "Heihe River Integrated Remote Sensing joint test: MODIS, alos PALSAR and AMSR-E ground synchronous observation data sets in biandukou encrypted observation area (May 24, 2008)", "ds_format": "doc,pds,pass,txt,jpg", "ds_source": "

 On May 24, 2008, the ground synchronous observation for MODIS, alos PALSAR and AMSR-E was carried out in the Bian Du Kou encrypted observation area, and the alos PALSAR data were not obtained. The measurement contents mainly include surface temperature, soil moisture, ground feature spectrum, vegetation coverage and ground penetrating radar", "ds_quality": "

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  Good data quality

", "ds_ref_way": "", "ds_abstract": "

  On May 24, 2008, the ground synchronous observation for MODIS, alos PALSAR and AMSR-E was carried out in the Bian Du Kou encrypted observation area, and the alos PALSAR data were not obtained. The measurement contents mainly include surface temperature, soil moisture, ground feature spectrum, vegetation coverage and ground penetrating radar.\n

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  1. Surface temperature: biandukou quadrat 1: grassland; Biandukou quadrat 2: rape field; Biandukou quadrat 3: rape field; Biandukou quadrat 4: wheat field biandukou quadrat 5: mixed field of barley and rape\n

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  2. Soil moisture: wet soil moisture quick tester is adopted. Sampling strip: biandukou quadrat 2 rape plots.\n

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  3. Ground penetrating radar: simultaneously measure the data of ground penetrating radar and wet soil moisture meter.\n

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  4. ASD FieldSpec frtm (Boulder, Co, USA) is used as the spectrum measuring instrument. The spectrum range is 350nm-2500nm. The spectrum resolution is 3nm in the visible near-infrared band and 10nm in the short wave infrared band. The data is in ASCII format and can be opened by Notepad, WordPad and other software. The first 5 lines of the file are the file header, which describes the relevant information of the data; The next two columns of data, one for wavelength and one for reflectance (percent reflectance). The file with suffix. TXT in the original folder is not reflectivity, but an intermediate file for calculating reflectivity. The file in the original data is in ASD's own format and opened with ASD viewspec software.\n

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  The instrument used for surface temperature measurement is a hand-held infrared thermometer, which measures the infrared radiation temperature of the surface and the physical temperature of the soil surface. At the same time, the surface type of the survey point is recorded. The measurement uses the close measurement mode of handheld infrared thermometer. The soil moisture measurement data were measured by wet soil moisture rapid meter and ring knife. Data files can be opened with Microsoft office software.\n

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  This dataset includes:\n

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 （ 1) Soil moisture measurement data (including wet soil moisture meter and ring knife measurement)\n

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 （ 2) Surface temperature measurement data\n

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 （ 3) Ground penetrating radar survey data\n

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 （ 4) Surface coverage photos and preprocessing data\n

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 （ 5) Surface feature spectral data\n

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 （ 6) Satellite image data

", "ds_time_res": "时", "ds_acq_place": "Heihe River Basin, biandukou intensive observation area, upstream cold region hydrological experimental station", "ds_space_res": "", "ds_projection": "", "ds_process_way": "

  Surface temperature: biandukou quadrat 1: grassland; Biandukou quadrat 2: rape field; Biandukou quadrat 3: rape field; Biandukou quadrat 4: wheat field biandukou quadrat 5: mixed field of barley and rape\n

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  Soil moisture: wet soil moisture quick tester is adopted. Sampling strip: biandukou quadrat 2 rape plots.\n

\n

  GPR: simultaneously measure the data of GPR and wet soil moisture meter.\n

\n

  ASD FieldSpec frtm (Boulder, Co, USA) is used as the spectrum measuring instrument. The spectrum range is 350nm-2500nm. The spectral resolution is 3nm in the visible near-infrared band and 10nm in the short wave infrared band. The data is in ASCII format and can be opened by Notepad, WordPad and other software. The first 5 lines of the file are the file header, which describes the relevant information of the data; The next two columns of data, one for wavelength and one for reflectance (percent reflectance). The file with suffix. TXT in the original folder is not reflectivity, but an intermediate file for calculating reflectivity. The file in the original data is in ASD's own format and opened with ASD viewspec software.\n

\n

  The instrument used for surface temperature measurement is a hand-held infrared thermometer, which measures the infrared radiation temperature of the surface and the physical temperature of the soil surface. At the same time, the surface type of the survey point is recorded. The measurement uses the close measurement mode of handheld infrared thermometer. The soil moisture measurement data were measured by wet soil moisture rapid meter and ring knife. Data files can be opened with Microsoft office software.", "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": "https://creativecommons.org/licenses/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": [ "地面同步观测", "地物光谱", "WET土壤水分速测仪", "MODIS", "AMSR-E", "土壤水分", "PALSAR", "植被覆盖度", "地表辐射温度" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "上游寒区水文试验区", "扁都口加密观测区", "黑河流域" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "赵少杰", "email": "geo_zhao@126.com", "work_for": "北京师范大学", "country": "中国" }, { "true_name": "车涛", "email": "chetao@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": "郝晓华", "email": "haoxh@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": "赵少杰", "email": "geo_zhao@126.com", "work_for": "北京师范大学", "country": "中国" } ], "ds_managers": [ { "true_name": "赵少杰", "email": "geo_zhao@126.com", "work_for": "北京师范大学", "country": "中国" } ], "category": "遥感及产品" }