N: 90 S: -90 E: 180 W: -180
Description
The Global Lake/Reservoir Surface Inland Water Extent Mask Time Series are derived from the MODIS instruments. The purpose of this dataset is to provide surface water dynamics for several hundred lakes and reservoirs throughout the globe, with a base temporal resolution of 8 days and a spatial resolution of 500 meters. With the exception of periods of low-quality input data, these time series will extend across the lifespan of the MODIS multispectral reflectance products, from roughly 2000 to present. These time series will allow us to satisfy the project goal to produce ESDRs of suitable quality to support long-term trend analysis and global water dynamics models for the longest length possible (in most cases, about 20 years, the length of the altimetry record) of key measures of surface water storages and fluxes. This product should be accessible and of direct use to both water managers and the scientific community worldwide, and will allow for improved assessment and modeling of human impact on the global water cycle. These pre SWOT data are derived from satellites to provide hydrological measurements. The Surface Water and Ocean Topography (SWOT) mission will have hydrology as one of its objectives. This dataset does not have the same variables as SWOT, but does provide hydrological measurements with typical quality flagging typical of satellite data. Not only does it provide science information, it can also assist hydrological users new to satellite data with the satellite data formats and variables before SWOT launches.
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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Variables
Variables are a set of physical properties whose values determine the characteristics or behavior of something. For example, temperature and pressure are variables of the atmosphere. Parameters and variables can be used interchangeably. Variable level attributes provide individual information for each variable.
The Name in this table is the variable name. Fill value indicates missing or undefined data points in a variable. Valid range is the range of values the variable can store. Scale factor is used to increase or decrease the size of an object and can be used to correct for distortion. For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor |
|---|---|---|---|---|---|---|
| lat | latitude | degrees_north | float | N/A | -2.0353708 to -1.535371 | 1 |
| lon | longitude | degrees_east | float | N/A | -50.511944 to -49.103104 | 1 |
| surface_water_extent | Water extent is calculated by classifying pixels as either water or land using machine learning algorithms and post-classification refinement. This is applied on each lake for each MODIS timestep (Khandelwal et al., 2017). Data Processing Version ID: TPJOJ.2.3 | m2 | float | -999 | 1222268000 to 1405801300 | 1 |
| surface_water_extent_mask | A global classification algorithm using MODIS 8 day 500m resolution was used to detect changes in the surface areal extent of water bodies. The approach classifies every pixel on the Earth at a given time as water or land using machine learning algorithms and post-classification refinement based on elevation (Khandelwal et al., 2017). | N/A | int | N/A | N/A | 1 |
| time | 8 days composite; the provided date indicates the beginning of the time stamp | days since 1900-01-01T00:00:00 | int | N/A | N/A | 1 |
| xc | x-coordinate (degrees_east) | degrees_east | double | N/A | N/A | 1 |
| yc | y-coordinate (degrees_north) | degrees_north | double | N/A | N/A | 1 |