数据集基于AVHRR-CDR反射率产品数据集制作，该数据集包含网格化的表面反射率和亮度温度。1）数据内容：本数据集包含1981-2020年青藏高原地区归一化差值植被指数（NDVI）、增强植被指数（EVI2）、土壤调节植被指数（SAVI）、改进的土壤调节植被指数（MSAVI）、陆面温度（LST）、地表反照率（ALBEDO），时间分辨率为月；2）数据来源与加工方法：基于0.05° AVHRR-CDR反射率产品数据集，其中NDVI、EVI2和MSAVI采用AVHRR 红光波段和近红外波段计算，SAVI指数选择的L值为0.5，陆面温度计算方法选择基于数据集T4和T5波段采用分裂窗算法，ALBEDO则采用有梁顺林（2000）提出的利用AVHRR CH1和CH2波段反射率选择多项式拟合地表反射率。数据投影选择基于WGS84的ALBERS等面积投影，投影参数为中央经线105°，参考纬线0°，第一标准纬线25°，第二标准纬线47°。为与其他数据保持相同的空间分辨率，利用最临近法将数据分辨率重采样为500m。3）数据合成：数据集制作中选择月单位为合成周期，合成方法采用最常用的最大NDVI法，合成过程中参考数据质量标识，当非云NDVI值小于有云NDVI时，恢复非云值（主要为水体）。", "ds_source": "
AVHRR-CDR 反射率产品全称为 “Advanced Very High Resolution Radiometer Climate Data Record（先进甚高分辨率辐射计气候数据记录）反射率数据集”，是基于 NOAA（美国国家海洋和大气管理局）系列卫星搭载的 AVHRR 传感器观测数据，经标准化处理生成的长期、连续、均一化地表反射率气候数据集，核心定位是为全球 / 区域尺度气候监测、地表覆盖变化分析提供基础遥感数据支撑。", "ds_process_way": "
基于0.05° AVHRR-CDR反射率产品数据集，其中NDVI、EVI2和MSAVI采用AVHRR 红光波段和近红外波段计算，SAVI指数选择的L值为0.5，陆面温度计算方法选择基于数据集T4和T5波段采用分裂窗算法，ALBEDO则采用有梁顺林（2000）提出的利用AVHRR CH1和CH2波段反射率选择多项式拟合地表反射率。", "ds_quality": "
数据计算完成后，对NDVI、LST、MSAVI和ALBEDO数据与MODIS数据产品进行了一致性检验，与MODIS同类数据产品对比RMSE误差分别为0.0545,2.44,0.0423,0.0267，相关系数分别为0.926,0.963,0.896,0.734。", "ds_acq_start_time": "1981-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "中国北方", "ds_acq_lon_east": 129.5, "ds_acq_lat_south": 33.11666666666667, "ds_acq_lon_west": 73.5, "ds_acq_lat_north": 50.25, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 82366334441, "ds_files_count": 2, "ds_format": ".tif", "ds_space_res": "500", "ds_time_res": "月", "ds_coordinate": "WGS84", "ds_projection": "Albers Equal Area Conic Projection System", "ds_thumbnail": "1632780a-f786-4a7f-acbe-19127f577411.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "6d0aa454-9b64-4be5-b0cd-4cc796e6aea0", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2026-03-13 19:31:50", "last_updated": "2026-03-18 08:47:22", "protected": false, "protected_to": "2028-03-13 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.DESERTIFICATION.DB7159.2026", "i18n": { "en": { "title": "Vegetation Index, Albedo, and Land Surface Temperature Dataset for Northern China (1981-2020)", "ds_format": ".tif", "ds_source": "
The full name of AVHRR-CDR reflectance product is \"Advanced Very High Resolution Radiometer Climate Data Record Reflectance Dataset\". It is a long-term, continuous, and uniform surface reflectance climate dataset generated through standardized processing based on AVHRR sensor observation data carried by NOAA (National Oceanic and Atmospheric Administration) satellites. Its core positioning is to provide basic remote sensing data support for global/regional scale climate monitoring and surface cover change analysis.", "ds_quality": "
After the data calculation was completed, consistency tests were conducted between NDVI, LST, MSAVI, and ALBEDO data and MODIS data products. The RMSE errors compared with similar MODIS data products were 0.0545, 2.44, 0.0423, and 0.0267, respectively, and the correlation coefficients were 0.926, 0.963, 0.896, and 0.734, respectively.", "ds_ref_way": "", "ds_abstract": "
The dataset is based on the AVHRR-CDR reflectance product dataset, which includes gridded surface reflectance and brightness temperature. 1) Data content: This dataset includes Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI2), Soil Adjusted Vegetation Index (SAVI), Improved Soil Adjusted Vegetation Index (MSAVI), Land Surface Temperature (LST), and Surface Reflectance (ALBEDO) in the Qinghai Tibet Plateau region from 1981 to 2020, with a time resolution of months; 2) Data source and processing method: Based on the 0.05 ° AVHRR-CDR reflectance product dataset, NDVI, EVI2, and MSAVI are calculated using the AVHRR red and near-infrared bands, and the SAVI index is selected with an L value of 0.5. The land surface temperature calculation method is based on the T4 and T5 bands of the dataset using the split window algorithm, while ALBEDO uses the AVHRR CH1 and CH2 band reflectance selection polynomial proposed by Liang Shunlin (2000) to fit the surface reflectance. The data projection selection is based on the ALBERS equal area projection of WGS84, with projection parameters of central meridian 105 °, reference latitude 0 °, first standard latitude 25 °, and second standard latitude 47 °. To maintain the same spatial resolution as other data, the nearest neighbor method is used to resample the data resolution to 500m. 3) Data synthesis: In the production of the dataset, the monthly unit is selected as the synthesis period, and the most commonly used maximum NDVI method is used. During the synthesis process, the data quality indicator is referenced. When the non cloud NDVI value is less than the cloud NDVI value, the non cloud value (mainly water bodies) is restored.", "ds_time_res": "月", "ds_acq_place": "Northern China", "ds_space_res": "500", "ds_projection": "Albers Equal Area Conic Projection System", "ds_process_way": "
Based on the 0.05 ° AVHRR-CDR reflectance product dataset, NDVI, EVI2, and MSAVI are calculated using the AVHRR red and near-infrared bands, and the SAVI index is selected with an L value of 0.5. The land surface temperature calculation method is based on the T4 and T5 bands using the split window algorithm, while ALBEDO uses the AVHRR CH1 and CH2 band reflectance selection polynomial proposed by Liang Shunlin (2000) to fit the surface reflectance.", "ds_ref_instruction": "" } }, "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": [ "NDVI", "MSAVI", "LST", "ALBEDO", "SAVI" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "北方" ], "ds_time_tags": [ 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020 ], "ds_contributors": [ { "true_name": "宋翔", "email": "songxiang@lzb.ac.cn", "work_for": "中国科学院大气物理研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "宋翔", "email": "songxiang@lzb.ac.cn", "work_for": "中国科学院大气物理研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "宋翔", "email": "songxiang@lzb.ac.cn", "work_for": "中国科学院大气物理研究所", "country": "中国" } ], "category": "生态" }