本数据集是2000年和2010年乌兹别克斯坦、吉尔吉斯斯坦、土库曼斯坦、塔吉克斯坦和哈萨克斯坦5个国家范围的平均植被指数数据。数据集包含2种：分别是① 2个4月-9月的年平均地表温度数据NDVI_2000.img和NDVI_2010.img格式文件。②将异常值设置为NoData的NDVI_2000_setNull.img和NDVI_2010_setNull.img数据；本数据集是对原始数据经过降尺度处理生成的，空间分辨率为250米，采用Albers投影坐标系。数据反映了地表植被覆盖状况，适用于早期发展阶段或低覆盖度植被的检测。
", "ds_source": "从MODIS官方网站ladsweb.nascom.nasa.gov下载2000年和2010年MOD13A2数据
", "ds_process_way": "该数据是对MOD13A2数据，经过拼接、剪裁、投影变换等流程，分别获得指定日期的植被指数，进而计算求得对应年度的平均植被指数；再经过异常值处理，得到更符合统计结果的植被指数数据。
", "ds_quality": "研究区范围内的气象观测数据和MODIS数据也进行了同步整理和计算处理，为NDVI数据的精度提升提供了支持；对有问题的数据进行了详细分析，并根据具体情况采取插值、剔除或修正等处理方法，最终得到精确度高的NDVI数据集；数据经过严格的质量控制，能够准确表征植被覆盖的时空变化。
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2010-12-31 00:00:00", "ds_acq_place": "哈萨克斯坦；吉尔吉斯坦；塔吉克斯坦；乌兹别克斯坦；土库曼斯坦", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 40033057, "ds_files_count": 1, "ds_format": "栅格数据", "ds_space_res": "250", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "Albers", "ds_thumbnail": "16d1e3a8-3f4c-4d49-b181-d4f60d1b2e3e.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 1, "publish_time": "2025-03-17 19:37:43", "first_publish_time": null, "last_updated": "2025-03-22 19:23:57", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.ariddc.00121", "license": null, "extra": null, "files_shape": [ { "name": "Data.rar", "size": 40033057, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "2000 and 2010 MODIS_250-meter NDVI dataset in Central Asia", "ds_abstract": "This dataset is the average vegetation index data of five countries in 2000 and 2010: Uzbekistan, Kyrgyzstan, Turkmenistan, Tajikistan and Kazakhstan. The data set includes two types: ① Two annual average surface temperature data NDVI_2000.img and NDVI_2010.img format files from April to September.② Set the abnormal values to NoData's NDVI_2000_setNull.img and NDVI_2010_setNull.img data; this data set is generated through down-scaling processing of the original data, with a spatial resolution of 250 meters, and adopts the Albers projection coordinate system. The data reflects the surface vegetation coverage and is suitable for the detection of early development stages or low coverage vegetation.
", "ds_source": "Download 2000 and 2010 MOD13A2 data from the official MODIS website ladsweb.nascom.nasa.gov
", "ds_process_way": "This data is based on MOD13A2 data, which goes through processes such as splicing, clipping, and projection transformation to obtain the vegetation index on the specified date, and then calculates the average vegetation index for the corresponding year; and then goes through abnormal value processing to obtain vegetation index data that is more consistent with statistical results.
", "ds_quality": "Meteorological observation data and MODIS data within the study area were also sorted and calculated simultaneously, providing support for improving the accuracy of NDVI data; problematic data were analyzed in detail, and interpolation, elimination or correction were adopted according to specific conditions, and a highly accurate NDVI data set was finally obtained; the data has undergone strict quality control and can accurately characterize the temporal and spatial changes in vegetation cover.
", "ds_acq_place": "Kazakhstan; Kyrgyzstan; Tajikistan; Uzbekistan; Turkmenistan", "ds_format": "raster data", "ds_projection": "Albers", "ds_space_res": "250", "ds_time_res": "years" } }, "license_type": null, "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": [ "植被指数", "NDVI", "遥感产品" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中亚" ], "ds_time_tags": [ 2000, 2010 ], "ds_contributors": [ "陈秋晓", "陈曦" ], "ds_meta_authors": [ "陈秋晓" ], "ds_managers": [ "李锦" ], "category": "中分辨率成像光谱仪" }