本数据集包含24个图像文件数据：分别为 ① 2000年第97、113、129、145、161、177、193、209、225、241、257天的MSWCI数据； ② 2010年第97、113、129、145、161、177、193、209、225、241、257天的MSWCI数据； ③ 2000MSWCI_Clip ，是2000年生长季4月至9月的地表平均含水量数据； ④ 2010 MSWCI _Clip，是2010年生长季4月至9月的地表平均含水量数据。 这些数据反映了中亚地区地表含水量时间变化与空间分布特征, 反映植被水分的亏缺程度，可利用此数据进行干旱监测。该数据是利用MODIS数据的第6、第7波段反射率值，得到SWCI，加入L参数修正SWCI，得到修正后的地表含水量指数MSWCI。利用修正后的地表含水量指数MSWCI分别反演出2000年和2010年4月1日至9月31日每8天中亚地区地表含水量，进而计算出这两个时段该地区的平均含水量。
", "ds_source": "主要数据源： 1. 2000年第97、113、129、145、161、177、193、209、225、241、257天的MOD09A1数据； 2. 2010年第97、113、129、145、161、177、193、209、225、241、257天的MOD09A1数据；
", "ds_process_way": "用相对应的MODIS产品，将其转换为实际地表含水量，即先得到指定日期的地表含水量，进而得到该地区指定时段的平均地表含水量。
", "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": "2010-01-01 00:00:00", "ds_acq_place": "中亚五国", "ds_acq_lon_east": 90.0, "ds_acq_lat_south": 35.516666666666666, "ds_acq_lon_west": 45.0, "ds_acq_lat_north": 55.416666666666664, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 358661683, "ds_files_count": 4, "ds_format": "栅格", "ds_space_res": "250.0m", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "GCS- WGS_1984", "ds_thumbnail": "c4859a2c-b70b-4e6f-9b71-1afdd93d6d98.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李锦", "ds_serv_phone": "09917827369", "ds_serv_mail": "lijin@ms.xjb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-09-24 15:20:59", "last_updated": "2023-08-23 17:02:59", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1469", "i18n": { "en": { "title": "MODIS_250 Surface Water Content (MSWCI) Data Set of Central Asia (2000, 2010)", "ds_format": "Raster", "ds_source": "Main data sources: 1. Mod09a1 data on the 97th, 113, 129, 145, 161, 177, 193, 209, 225, 241, 257 days in 2000; 2. Mod09a1 data on the 97th, 113, 129, 145, 161, 177, 193, 209, 225, 241, 257 days in 2010
", "ds_quality": "The acquired data can only be used after sorting and calculation processing. The meteorological observation data and MODIS data in the study area shall be sorted and calculated, including blank data, missing data and quality defects. The problematic data shall be analyzed and processed according to the situation to obtain high-precision data.
", "ds_ref_way": "", "ds_abstract": "This dataset contains 24 image file data: (1) MSWCI data for days 97, 113, 129, 145, 161, 177, 193, 209, 225, 241, and 257 in 2000; (2) MSWCI data for days 97, 113, 129, 145, 161, 177, 193, 209, 225, 241, 257 of 2010; (3) 2000MSWCI_Clip, which is the average surface water content data from April to September of the 2000 growing season; (4) The 2010 MSWCI _Clip is the average surface water content data from April to September of the 2010 growing season. These data reflect the temporal variation and spatial distribution characteristics of surface water content in Central Asia, and reflect the degree of vegetation water deficit, which can be used for drought monitoring. The data is to use the reflectivity values of the 6th and 7th bands of the MODIS data to obtain SWCI, and the L parameter is added to correct SWCI to obtain the modified surface water content index MSWCI. The revised MSWCI was used to reflect the surface water content of Central Asia every eight days from April 1 to September 31, 2010, respectively, and then calculate the average water content of the region during these two periods.\n
", "ds_time_res": "年", "ds_acq_place": "Five Central Asian countries", "ds_space_res": "250.0m", "ds_projection": "GCS- WGS_1984", "ds_process_way": "The corresponding MODIS product is used to convert it into the actual surface water content, that is, the surface water content of the designated date is obtained first, and then the average surface water content of the designated time period in the area is obtained.
", "ds_ref_instruction": "In order to respect intellectual property rights, protect the rights and interests of data authors, expand the services of data centers, and evaluate the application potential of data, data users are requested to clearly indicate the data source and data authors in the research results (including published papers, works, data products and unpublished research reports, data products, etc.) produced by using data. For data reprinted (secondary or multiple releases), the author must also indicate the source of the original data." } }, "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": [ "生态环境", "地标含水量", "MSWCI", "自然资源数据库", "遥感反演产品", "MODIS" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "吉尔吉斯斯坦", "土库曼斯坦", "乌兹别克斯坦", "哈萨克斯坦", "塔吉克斯坦", "中亚五国" ], "ds_time_tags": [ 2000, 2010 ], "ds_contributors": [ { "true_name": "陈秋晓", "email": "", "work_for": "浙江大学", "country": "" } ], "ds_meta_authors": [ { "true_name": "李锦", "email": "lijin@ms.xjb.ac.cn", "work_for": "新疆生态与地理研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "李锦", "email": "lijin@ms.xjb.ac.cn", "work_for": "新疆生态与地理研究所", "country": "中国" }, { "true_name": "陈秋晓", "email": "", "work_for": "浙江大学", "country": "" } ], "category": "水文" }