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2000年年平均和2010年4月1日至9月31日每16天平均增强植被指数（EVI）数据，数据分辨率250米，反映了该地区地表植被覆盖状况，相对于NDVI（归一化植被指数），EVI减少了背景和大气噪音的影响。
", "ds_source": "数据源来自2000、2010年的MODIS13A2数据。
", "ds_process_way": "该数据利用MOD13A2数据，经过拼接、剪裁、投影变换等流程，分别获得中亚地区2000年和2010年4月1日至9月31日每16天的植被指数，再计算得到平均植被指数。
", "ds_quality": "获取的数据需要整理和计算处理才能使用，对研究区范围土要的气象观测数据、MODIS数据进行整理和计算处理,包括空白数据、缺测数据、质量缺陷等,对有问题的数据进行分析,根据情况进行处理，得到精确度高的数据。
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2010-12-01 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": 20652182, "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": "7e03d594-e90d-4229-a1c8-53fcdace0580.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 20:03:17", "first_publish_time": null, "last_updated": "2025-03-22 19:24:47", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.ariddc.00130", "license": null, "extra": null, "files_shape": [ { "name": "Data.rar", "size": 20652182, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "2000 and 2010 MODIS_250m EVI Vegetation Index Data Set in Central Asia", "ds_abstract": "This dataset is the 2000 annual average and 16-day average enhanced vegetation index (EVI) data from five countries in 2000 and 2010 from April 1 to September 31, 2010 in five countries: Uzbekistan, Kyrgyzstan, Turkmenistan, Tajikistan and Kazakhstan. The data resolution is 250 meters, reflecting the surface vegetation coverage in the area. Compared with NDVI (normalized vegetation index), EVI reduces the impact of background and atmospheric noise.
", "ds_source": "The data source comes from MODIS 13A2 data from 2000 and 2010.
", "ds_process_way": "The data uses MOD13A2 data and goes through processes such as splicing, clipping, and projection transformation to obtain the vegetation index of Central Asia every 16 days from April 1 to September 31, 2000 and 2010, respectively, and then calculates the average vegetation index.
", "ds_quality": "The obtained data needs to be sorted out and calculated before it can be used. The meteorological observation data and MODIS data in the study area are sorted out and calculated, including blank data, missing data, quality defects, etc. The problematic data are analyzed and processed according to the situation to obtain high-precision data.
", "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": [ "增强植被指数", "EVI", "遥感产品" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "土库曼斯坦", "塔吉克斯坦", "吉尔吉斯斯坦", "乌兹别克斯坦", "哈萨克斯坦" ], "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" }