Lake mask and distance to land dataset of 2024 lakes for the European Space Agency Climate Change Initiative Lakes v2

This dataset contains the distance to land and the lake identifiers as a global netcdf file for all the water pixels at 1km (1/120 deg) lat/lon resolution of 2024 lakes distributed globally. It contains also the list of lakes as a csv file with information such as the lake center as defined in [1], and the coordinate of a box to easily locate the like in the global netcd file. The mask excludes islands on lakes and it has been derived from the GloboLakes high resolution limnology dataset [2]. The dateset have been further harmonized with the lake maximum extent lake polygons by PML [3]. The lake list with the plot of the mask and the polygons is available as a html file accessible also from the lake website at the University of Reading: http://www.laketemp.net/home_CCI/LMPolygons.php This dataset accompanies the ESA CCI Lakes v2 dataset [4]. [1] Carrea, L.; Embury, O.; Merchant, C.J. (2015): High-resolution datasets related to in-land water for limnology and remote sensing applications: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates - Geoscience Data Journal, 2 (2). pp. 83-97. ISSN 2049-6060 doi: https://doi.org/10.1002/gdj3.32 [2] Carrea, L.; Embury, O.; Merchant, C.J. (2015): GloboLakes: high-resolution global limnology dataset v1. Centre for Environmental Data Analysis. doi:10.5285/6be871bc-9572-4345-bb9a-2c42d9d85ceb. http://dx.doi.org/10.5285/6be871bc-9572-4345-bb9a-2c42d9d85ceb [3] Simis, S.; Mata, A.; Selmes, N.; Carrea, L. (2021) Lake polygons dataset accompanying Calimnos v1.4.0 and ESA CCI Lakes Climate Research Data Package v2.0. zenodo https://doi.org/10.5281/zenodo.4899250 [4] Carrea, L.; Crétaux, J.-F.; Liu, X.; Wu, Y.; Bergé-Nguyen, M.; Calmettes, B.; Duguay, C.; Jiang, D.; Merchant, C.J.; Mueller, D.; Selmes, N.; Simis, S.; Spyrakos, E.; Stelzer, K.; Warren, M.; Yesou, H.; Zhang, D. (2022): ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 2.0.1. NERC EDS Centre for Environmental Data Analysis https://catalogue.ceda.ac.uk/uuid/03c935c6890c4b2ebf4aae4d84cd9472

本数据集包含全球2024个湖泊的所有水体像素的距陆距离与湖泊标识符，采用1km（1/120度）经纬度分辨率的NetCDF（网络通用数据格式）全局文件存储。此外还附带CSV（逗号分隔值）格式的湖泊列表文件，其中包含文献[1]中定义的湖泊中心坐标，以及可快速在全局NetCDF文件中定位对应湖泊的矩形区域坐标。
该数据集的水体掩膜排除了湖泊内的岛屿，其数据源自GloboLakes高分辨率湖沼学数据集[2]。
本数据集已与普利茅斯海洋实验室（PML）发布的湖泊最大范围多边形数据集完成进一步协调统一[3]。
包含湖泊列表、掩膜可视化图与多边形信息的HTML文件可通过雷丁大学湖泊官网访问：http://www.laketemp.net/home_CCI/LMPolygons.php。
本数据集为ESA CCI Lakes v2数据集的配套数据[4]。

[1] Carrea, L.; Embury, O.; Merchant, C.J. (2015): 用于湖沼学与遥感应用的内陆水体高分辨率数据集：距陆距离、距水距离、水体标识符与湖泊中心坐标——《地球科学数据期刊》(Geoscience Data Journal), 2(2), 第83-97页。ISSN 2049-6060，DOI: https://doi.org/10.1002/gdj3.32
[2] Carrea, L.; Embury, O.; Merchant, C.J. (2015): GloboLakes：高分辨率全球湖沼学数据集v1。环境数据中心，DOI:10.5285/6be871bc-9572-4345-bb9a-2c42d9d85ceb。http://dx.doi.org/10.5285/6be871bc-9572-4345-bb9a-2c42d9d85ceb
[3] Simis, S.; Mata, A.; Selmes, N.; Carrea, L. (2021) 配套Calimnos v1.4.0与ESA CCI Lakes气候研究数据包v2.0的湖泊多边形数据集。Zenodo，https://doi.org/10.5281/zenodo.4899250
[4] Carrea, L.; Crétaux, J.-F.; Liu, X.; Wu, Y.; Bergé-Nguyen, M.; Calmettes, B.; Duguay, C.; Jiang, D.; Merchant, C.J.; Mueller, D.; Selmes, N.; Simis, S.; Spyrakos, E.; Stelzer, K.; Warren, M.; Yesou, H.; Zhang, D. (2022): ESA湖泊气候变化倡议(Lakes_cci)：湖泊产品，版本2.0.1。NERC环境数据科学中心，https://catalogue.ceda.ac.uk/uuid/03c935c6890c4b2ebf4aae4d84cd9472