黑河流域30m/月合成光合有效辐射吸收比例（FAPAR）数据集提供了2011-2014年的月度LAI合成产品，该数据利用我国国产卫星HJ/CCD数据兼具较高时间分辨率（组网后2天）和空间分辨率（30m）的特点构造多角度观测数据集，考虑不同植被类型，基于土地覆盖分类图，结合30m/月合成叶面积指数（LAI）产品，采用基于能量守恒的FAPAR-P模型，进行月合成FAPAR产品生产。算法从能量守恒原理出发，考虑植被间及土壤与植被间的多次反弹，也考虑了天空散射光等多种因素的影响，通过分析光子与冠层作用的过程，从光子在植被冠层内的运动和发生多次散射时的再碰撞概率相等为出发点，建立了均匀连续植被FAPAR模型。\n
此外，分析多种影响因素对FAPAR模型的影响，其中土壤和叶片反射率、聚集指数、G函数在针对不同情况采用不同取值。算法具有很高的动态性，对于不同的土壤背景、植被类型、辐射条件、光照与观测几何、天气条件下获得的图像都能得到较好的结果。\n
通过与2012年7月8日甘肃省张掖市盈科灌区玉米冠层PAR测量数据对比，30m/月合FAPAR产品与地面观测数据具有高度的一致性，与观测值误差小于5%。\n
总之，黑河流域30m/月合成光合有效辐射吸收比例（FAPAR）数据集综合利用多时相、多角度观测数据以提高参数产品的估算精度、时间分辨率等，更好的服务于遥感数据产品的应用。
", "ds_source": "黑河流域30m/月合成光合有效辐射吸收比例（FAPAR）数据集提供了2011-2014年的月度LAI合成产品，该数据利用我国国产卫星HJ/CCD数据兼具较高时间分辨率（组网后2天）和空间分辨率（30m）的特点构造多角度观测数据集，考虑不同植被类型，基于土地覆盖分类图，结合30m/月合成叶面积指数（LAI）产品，采用基于能量守恒的FAPAR-P模型，进行月合成FAPAR产品生产。
", "ds_process_way": "算法具有很高的动态性，对于不同的土壤背景、植被类型、辐射条件、光照与观测几何、天气条件下获得的图像都能得到较好的结果。通过与2012年7月8日甘肃省张掖市盈科灌区玉米冠层PAR测量数据对比，30m/月合FAPAR产品与地面观测数据具有高度的一致性，与观测值误差小于5%。
", "ds_quality": "数据质量良好。
", "ds_acq_start_time": "2011-01-01 00:00:00", "ds_acq_end_time": "2015-01-01 00:00:00", "ds_acq_place": "黑河流域", "ds_acq_lon_east": 101.98, "ds_acq_lat_south": 37.72, "ds_acq_lon_west": 97.11, "ds_acq_lat_north": 42.69, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 7412884654, "ds_files_count": 6, "ds_format": "tif", "ds_space_res": "/", "ds_time_res": "月", "ds_coordinate": "WGS84", "ds_projection": "/", "ds_thumbnail": "74ec5d80-a976-4a0f-9d7e-63434a3c953b.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本数据由“黑河生态水文遥感试验（HiWATER）”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": "c94b3578-20da-4346-9de9-c702b6ca8983", "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": "2021-09-14 09:56:48", "last_updated": "2025-06-30 16:34:42", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.38", "i18n": { "en": { "title": "Heihe River eco hydrological remote sensing experiment: 30m / month synthetic photosynthetic effective radiation absorption ratio (fAPAR) data set of Heihe River Basin (2011-2015)", "ds_format": "TIFF", "ds_source": "The 30m / month synthetic photosynthetic effective radiation absorption ratio (fAPAR) data set of Heihe River basin provides the monthly Lai synthetic products from 2011 to 2014. The data uses the characteristics of domestic satellite HJ / CCD data with high temporal resolution (2 days after Networking) and spatial resolution (30M) to construct a multi angle observation data set, considering different vegetation types and based on land cover classification map, Combined with 30m / month synthetic leaf area index (LAI) products, fapar-p model based on energy conservation is adopted to produce monthly synthetic fAPAR products
", "ds_quality": "Good data quality
", "ds_ref_way": "", "ds_abstract": "The 30m / month synthetic photosynthetic effective radiation absorption ratio (fAPAR) data set of Heihe River basin provides the monthly Lai synthetic products from 2011 to 2014. The data uses the characteristics of domestic satellite HJ / CCD data with high temporal resolution (2 days after Networking) and spatial resolution (30M) to construct a multi angle observation data set, considering different vegetation types and based on land cover classification map, Combined with 30m / month synthetic leaf area index (LAI) products, fapar-p model based on energy conservation is adopted to produce monthly synthetic fAPAR products. Based on the principle of energy conservation, considering the multiple Rebound between vegetation and soil and vegetation, as well as the influence of various factors such as sky scattered light, the fAPAR model of uniform continuous vegetation is established by analyzing the interaction process between photons and canopy, and starting from the equal movement of photons in vegetation canopy and the re collision probability of multiple scattering
\nIn addition, the effects of various influencing factors on fAPAR model are analyzed, in which soil and leaf reflectance, aggregation index and G function adopt different values according to different situations. The algorithm has high dynamics, and can get good results for images obtained under different soil background, vegetation type, radiation conditions, illumination and observation geometry and weather conditions
\nCompared with the measured data of corn canopy par in Yingke irrigation area of Zhangye City, Gansu Province on July 8, 2012, the 30m / month fAPAR product is highly consistent with the ground observation data, and the error with the observation value is less than 5%
\nIn short, the 30m / month synthetic photosynthetic effective radiation absorption ratio (fAPAR) data set in Heihe River basin makes comprehensive use of multi temporal and multi angle observation data to improve the estimation accuracy and time resolution of parameter products and better serve the application of remote sensing data products
", "ds_time_res": "月", "ds_acq_place": "Heihe River Basin", "ds_space_res": "/", "ds_projection": "/", "ds_process_way": "The algorithm has high dynamics, and can get good results for images obtained under different soil background, vegetation type, radiation conditions, illumination and observation geometry and weather conditions. Compared with the measured data of corn canopy par in Yingke irrigation area of Zhangye City, Gansu Province on July 8, 2012, the 30m / month fAPAR product is highly consistent with the ground observation data, and the error with the observation value is less than 5%
", "ds_ref_instruction": "This data is generated by \"Heihe eco hydrological remote sensing experiment (hiwater)\". When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the reference part." } }, "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": [ "植被覆盖度", "遥感产品", "生态遥感产品" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域" ], "ds_time_tags": [ 2011, 2012, 2013, 2014 ], "ds_contributors": [ { "true_name": "范闻捷", "email": "fanwj@pku.edu.cn", "work_for": "北京大学", "country": "中国" }, { "true_name": "仲波", "email": "zhongbo@radi.ac.cn", "work_for": "中国科学院遥感与数字地球研究所遥感科学国家重点实验室", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "范闻捷", "email": "fanwj@pku.edu.cn", "work_for": "北京大学", "country": "中国" } ], "ds_managers": [ { "true_name": "范闻捷", "email": "fanwj@pku.edu.cn", "work_for": "北京大学", "country": "中国" } ], "category": "遥感及产品" }