N: 90 S: -90 E: 180 W: -180
Description
The Inland Waters dataset (ILW) provides data for lakes and other water bodies across the contiguous United States (CONUS) and Alaska. ILW significantly reduces the processing effort required by end users and is a standardized community resource for lake and reservoir algorithm development and performance assessment.The data is provided for 15,450 CONUS waterbodies with a size of at least one 300 m pixel and over 2,300 resolvable lakes with sizes greater than three 300 m pixels. Alaska has 5,874 lakes resolvable lakes. ILW is a times series containing 10 years of MERIS (2002-2012) and OLCI from both Sentinel-3a (2016-present) and Sentinel-3b (2018-present).
Version Description
Product Summary
Documents
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PROCESSING HISTORY
DATA CITATION GUIDELINES
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 |
|---|---|---|---|---|---|---|
| level-3_binned_data/BinIndex | level-3_binned_data/BinIndex | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/BinList | level-3_binned_data/BinList | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/CI_cyano | level-3_binned_data/CI_cyano | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_400 | level-3_binned_data/rhos_400 | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_412 | level-3_binned_data/rhos_412 | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_443 | level-3_binned_data/rhos_443 | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_490 | level-3_binned_data/rhos_490 | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_510 | level-3_binned_data/rhos_510 | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_560 | level-3_binned_data/rhos_560 | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_620 | level-3_binned_data/rhos_620 | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_665 | level-3_binned_data/rhos_665 | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_674 | level-3_binned_data/rhos_674 | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_681 | level-3_binned_data/rhos_681 | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_709 | level-3_binned_data/rhos_709 | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_754 | level-3_binned_data/rhos_754 | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_865 | level-3_binned_data/rhos_865 | N/A | OTHER | N/A | N/A | N/A |
| level-3_binned_data/rhos_884 | level-3_binned_data/rhos_884 | N/A | OTHER | N/A | N/A | N/A |