TY  - Data
T1  - 30 m Annual River ice extent dataset in the Three Rivers Source Region (1990-2023)
A1  - Haojie Li
A1  - Donghang Shao
A1  - Yuzhong Wang
A1  - Hongxing Li
A1  - Jing Zhang
A1  - Zhen Liu
DO  - 10.12072/ncdc.river_ice.db6532.2024
PY  - 2024
DA  - 2024-07-02
PB  - National Cryosphere Desert Data Center
AB  - River ice monitoring is of great significance to the study of river runoff process, regional water cycle, water resources management, and ice flood disaster prevention and control. Remote sensing technology has become an important means of obtaining river ice information in high and cold mountain regions where the climate is very cold and field observation is very difficult. At present, the published data on the distribution extent of river ice in the high and cold mountain regions are very rare, and no similar data can be compared. This data set is a long time series of 30 m river ice distribution extent data in the Three Rivers Source Region. The median image was synthesized year by year from images with less than 20% cloud cover during the river ice development period from January to April in the study area based on the long time-series Landsat series surface reflectivity dataset provided by the Google Earth Engine (GEE) platform. The river ice extent and snow extent were extracted using Relative Difference River Ice (RDRI) and Normalized Difference Snow Index (NDSI) algorithms, respectively, and the snow extent extracted by NDSI algorithms was used to supplement when the river ice was missed due to thicker snow cover. Combined with satellite images, DEM, river, lake extent, and glacier extent data, the obtained river ice extent data were manually inspected, misjudged glaciers, lake ice, and other ice bodies were deleted, and areas with obvious omissions of river ice were manually patched, and finally, a total of 34 periods of river ice extent data of the Three Rivers Source Region were obtained for the period of 1990-2023. The dataset was stored in shp file format, which was divided into three areas of Yellow River Source Region, Yangzi River Source Region, and Lancang River Source Region for convenience of use, and the naming rule was: "area+riverice+sensor+year+Revised.shp", for example: yellow_basin_riverice_ETM_2012_Revised. This dataset can provide direct d
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/ecd863a7-110d-410a-b711-27785921cb15
ER  -