分水岭
环境科学
水文学(农业)
构造盆地
文档
古湖沼学
数字高程模型
遥感
生物量(生态学)
营养水平
卫星图像
生产力
自然地理学
元数据
先进星载热发射反射辐射计
资源(消歧)
工作流程
河口
空间分析
塞奇磁盘
北极的
工作手册
空间变异性
空间生态学
作者
Sassan Mohammady,Irena F. Creed
出处
期刊:Data in Brief
[Elsevier BV]
日期:2025-09-11
卷期号:62: 112035-112035
标识
DOI:10.1016/j.dib.2025.112035
摘要
We present a standardized pan-watershed dataset of annual chlorophyll-a concentration (Chl-a) in 27,313 lakes (≥ 10 ha) draining into Lake Winnipeg, Canada, spanning 1984-2023. Lake polygons from HydroLAKES were integrated with Landsat 5/7/8 Collection 2 imagery processed in Google Earth Engine (GEE) using a reproducible workflow that (1) filters July-October scenes (peak phytoplankton biomass season), (2) masks non-water pixels from each scene, (3) converts Landsat digital numbers to surface reflectance values, (4) applies a cross-sensor Chl-a retrieval model calibrated against in-situ samples, (5) calculates the spatial mean of Chl-a in each lake for each scene, and (6) calculates the median value of all spatial-mean values per lake per year. Outputs include per-lake annual Chl-a provided as both natural-log and back-transformed Chl-a (µg L⁻¹) plus annual trophic state classes delivered in an Excel workbook and two geodatabases for mapping. The accompanying annotated GEE and R codes, input lake boundaries, and documentation enable transparent reuse and straightforward adaptation to other regions, time periods, or sensors. This resource fills a critical monitoring gap for an agriculturally influenced, bloom-prone continental watershed and supports research and management by establishing productivity baselines, detecting departures from historical conditions, and assessing bloom timing at scales relevant to decision-making. All data, inputs, and code are openly available via Zenodo.
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