Shortwave surface albedo of glaciers in the central Chilean Andes

Data used to analyse glacier surface albedo change in the central Chilean Andes for the manuscript: Glacier albedo reduction and drought effects in the extratropical Andes, 1986-2020 Thomas E. Shaw1, Genesis Ulloa2, David Farías-Barahona3, Rodrigo Fernandez2, Jose Lattus2, James McPhee1,4 1 Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile 2 Department of Geology, Universidad de Chile, Santiago, Chile 3 Institute für Geographie, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany 4 Department of Civil Engineering, Universidad de Chile, Santiago, Chile Corresponding author: Thomas E. Shaw ([e-mail]) Keywords: Albedo, Andes, Glacier, Drought, Remote sensing, Climate %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Sub-folders: [Albedo]: 'Albedo_ChileanGlaciers_DATA.mat' = matlab file that contains a structure of all information for analyses. 'DATA' structure contains: NAME = Glacier name ALBEDO = 3D albedo matrices for each named glacier DEM = ASTER DEM of same resolution + size DEMtif = as above, but within a georeferenced GRIDobj frame read by TopoToolbox CLASS = classification as 0 (no data), 1 (ice) or 2 (snow) OTSUindex = The histogram separation value per year (per glacier) based upon Otsu inter-class variance SHADOW = Shadowed pixels based upon solar geometry SOLAR_AZI = Solar Azimuth per year taken from Landsat metadata SOLAR_ELE = Solar Elevation per year taken from Landsat metadata NIR = The Near-Infrared band of Landsat images for the Osu classification SLOPE = The calculated slope angle based upon the DEM (GRIDobj format) 'SHAPE' is an 18*1 structure of the imported shapefiles in matlab format. Can be plotted using 'mapshow' [Shapefiles]: 'CentralChileGlaciers.shp' = Shapefile of glacier boundaries delineated based upon April 2020 3 m PlanetScope imagery. [Climate]: 'Ta_Precip_HY.mat' = Mean Monthly Air temperature (°C) and monthly total precipitation (mm) at long term DGA weather stations for each Hydrological year (April-March) 'TAmonth_HY' = A matrix of 35 x 12 mean month air temperatures (°C) where rows (x35) = the hydrological year starting 1985-1986 and columns (x12) = the months of the hydrological year so that the first column is April and the final column is March of the following year 'PPmonth_HY' = As above but a 3D matrix of 35 x 12 x 3 for monthly sums of precipitation (mm). The rows and columns are defined above and the third dimension are the stations Riecillos (32.92°S, 70.35°W ,1290 m a.s.l.), Embalse Yeso (33.67°S, 70.08°W, 2475 m a.s.l.) and Rengo (34.19°S, 70.75°W, 515 m a.s.l.), respectively.本数据集用于分析智利安第斯山脉中部冰川表面反照率（Albedo）变化，配套学术论文为《Glacier albedo reduction and drought effects in the extratropical Andes, 1986-2020》，作者依次为Thomas E. Shaw¹、Genesis Ulloa²、David Farías-Barahona³、Rodrigo Fernandez²、Jose Lattus²、James McPhee¹,⁴。其中： ¹ 智利大学先进采矿技术中心，智利圣地亚哥； ² 智利大学地质系，智利圣地亚哥； ³ 德国埃尔朗根-纽伦堡弗里德里希-亚历山大大学地理研究所，德国埃尔朗根； ⁴ 智利大学土木工程系，智利圣地亚哥。 通讯作者：Thomas E. Shaw（[e-mail]） 关键词：反照率（Albedo）、安第斯山脉（Andes）、冰川（Glacier）、干旱（Drought）、遥感（Remote sensing）、气候（Climate） %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 子文件夹说明如下： [反照率（Albedo）] - `Albedo_ChileanGlaciers_DATA.mat`：MATLAB格式数据文件，存储用于分析的全量信息结构体。该`DATA`结构体包含以下字段： - `NAME`：冰川名称 - `ALBEDO`：对应各命名冰川的三维反照率矩阵 - `DEM`：分辨率与尺寸匹配的ASTER DEM - `DEMtif`：同上述DEM数据，但封装于TopoToolbox可读取的地理参考GRIDobj框架内 - `CLASS`：分类标签，0代表无数据，1代表冰，2代表雪 - `OTSUindex`：基于大津（Otsu）类间方差法计算的逐年（逐冰川）直方图分离阈值 - `SHADOW`：基于太阳几何参数识别的阴影像素 - `SOLAR_AZI`：取自Landsat元数据的逐年太阳方位角 - `SOLAR_ELE`：取自Landsat元数据的逐年太阳高度角 - `NIR`：用于Otsu分类的Landsat影像近红外波段 - `SLOPE`：基于DEM计算得到的坡度角（GRIDobj格式） - `SHAPE`：MATLAB格式的导入矢量图层结构体，共18×1个元素，可通过`mapshow`函数进行可视化。 [矢量图层（Shapefiles）] - `CentralChileGlaciers.shp`：基于2020年4月3米分辨率PlanetScope影像勾绘的智利中部冰川边界矢量图层。 [气候（Climate）] - `Ta_Precip_HY.mat`：存储长期DGA气象站的月均气温（℃）与月总降水量（mm）数据，按水文年（4月至次年3月）组织。 - `TAmonth_HY`：35×12的月均气温矩阵，其中行（共35行）代表1985-1986起的水文年，列（共12列）代表水文年月份，第一列为4月，最后一列为次年3月。 - `PPmonth_HY`：35×12×3的三维月降水总量（mm）矩阵，行与列的定义同上，第三维度依次对应三个气象站：Riecillos（32.92°S, 70.35°W，海拔1290 m a.s.l.）、Embalse Yeso（33.67°S, 70.08°W，海拔2475 m a.s.l.）与Rengo（34.19°S, 70.75°W，海拔515 m a.s.l.）。