Data Package Metadata View Summary

LAGOS-US LANDSAT: Data module of remotely-sensed water quality estimates for U.S. lakes over 4 ha from 1984 to 2020

General Information

Data Package:

Local Identifier:

edi.1427.5

Title:

LAGOS-US LANDSAT: Data module of remotely-sensed water quality estimates for U.S. lakes over 4 ha from 1984 to 2020

Alternate Identifier:

DOI PLACE HOLDER

Abstract:

This data package, LAGOS-US LANDSAT, is one of the extension data modules of the LAGOS-US platform that provides six water quality estimates (chlorophyll, Secchi depth, dissolved organic carbon, total suspended solids, turbidity, and true water color) from remote sensing for lakes ≥ 4 ha in the conterminous U.S. (48 states plus the District of Columbia) for the years 1984-2020. These estimates are generated through machine learning models on in-lake water quality matchups from LAGOS-US LIMNO with Landsat 5, 7, and 8 whole lake median reflectance values and pixel-wise band ratios that are subsequently used to make predictions across the U.S. The LANDSAT module contains remotely sensed reflectance values for 136,977 of the 137,465 lakes ≥ 4 ha from the LAGOS-US research platform. Within the module are a total of 45,867,023 sets of reflectance values, a matchup dataset with a window of up to 7 calendar days with in situ data, and associated water quality parameter predictions for each reflectance set. Additional quality control flags are provided for predictions indicating whether reflectance extractions included negative values, the percent of the maximum pixels ever retrieved for that lake that the predictions are based on, and whether there are shared calendar day predictions due to scene overlap.

Publication Date:

2024-10-25

For more information:
Visit:	DOI PLACE HOLDER

Time Period

Begin:

1984

End:

2020

People and Organizations
Contact:	Hanly, Patrick J (Michigan State University) [ email ]
Creator:	Hanly, Patrick J (Michigan State University)
Creator:	Webster, Katherine E. (Michigan State University)
Creator:	Soranno, Patricia A. (Michigan State University)

Data Entities
Data Table Name:	LAGOS_US_LANDSAT_Predictions_v1_QAQC
Description:	Predictions for the six water quality variables from the final machine learning models by LAGOS-US lake and sensing time alongside data quality flags.
Data Table Name:	LAGOS_US_LANDSAT_matchups
Description:	Data table of matchups in situ water quality variables from LAGOS-US LIMNO with the Landsat surface reflectance data with an overpass window of +/- 7 calendar days.
Other Name:	LAGOS_US_LANDSAT_data_description
Description:	Data descriptions for LAGOS-US LANDSAT data tables, including variable names, variable descriptions, data type, and column index.
Other Name:	LAGOS_US_LANDSAT_compiledRS
Description:	Data table of lagoslakeid and Landsat 5, 7, and 8 scene surface reflectance values for the median, minimum and standard deviation of each band as well as pixel-specific band ratios, cloud cover, and other associated variables. Data are based on Collection 1, which uses a scale factor of 0.0001.
Other Name:	LAGOS_US_LANDSAT_TT
Description:	This accompanying dataset from Hanly, P.J., K.E. Webster, and P.A. Soranno. 2024. LAGOS-US LANDSAT: Data module of remotely-sensed water quality estimates for U.S. lakes over 4 ha from 1984 to 2020 includes predictions from comparable random forest regression models as the main dataset 'LAGOS_US_LANDSAT_Predictions_v1_QAQC' but conducted using a 75% test and 25% train split that is spatially balanced using the generalized random tesselation stratified (GRTS) algorithm. The predictions will vary between the two datasets, but these additional data are provided for users that prefer to have an external measurement of prediction error. In general, we suggest usage of the full data prediction model. See the associated data paper for additional detail and error measurements for each prediction set.

Detailed Metadata

Data Entities

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/edi/1427/5/3cb4f20440cbd7b8e828e4068d2ab734
Name:	LAGOS_US_LANDSAT_Predictions_v1_QAQC
Description:	Predictions for the six water quality variables from the final machine learning models by LAGOS-US lake and sensing time alongside data quality flags.
Number of Records:	45867023
Number of Columns:	13

Table Structure

Object Name:

LAGOS_US_LANDSAT_Predictions_v1_QAQC.csv

Size:

7546775561 byte

Authentication:

533c2c5d692fad19a58ba4b6287050b2 Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

SENSING_TIME

lagoslakeid

CHL_predicted

NTU_predicted

DOC_predicted

TSS_predicted

COLORT_predicted

Secchi_predicted

Negative_reflectance_min

Negative_reflectance_median

Pixel_perc_of_max

Duplicate_day

QAQC_recommend

Column Name:

SENSING_TIME

lagoslakeid

CHL_predicted

NTU_predicted

DOC_predicted

TSS_predicted

COLORT_predicted

Secchi_predicted

Negative_reflectance_min

Negative_reflectance_median

Pixel_perc_of_max

Duplicate_day

QAQC_recommend

Definition:

Sensing time of the landsat satellite overpass associated with the water quality prediction

unique lake identifier from the LAGOS-US research platform

Predicted chlorophyll a concentration (ugL, micrograms per liter) from LAGOS-US LANDSAT

Predicted turbidity (NTU, nephelometric turbidity units) from LAGOS-US LANDSAT

Predicted dissolved organic carbon (mgL, milligrams per liter) from LAGOS-US LANDSAT

Predicted total suspended solids (mgL, milligrams per liter) from LAGOS-US LANDSAT

Predicted true water color (pcu, platinum cobalt units) from LAGOS-US LANDSAT

Predicted Secchi depth (m, meters) from LAGOS-US LANDSAT

Flag 'TRUE' if any pixel for any band in the lake extraction had a negative reflectance

Flag 'TRUE' if the median reflectance for any band in the lake extraction was negative

The percentage of pixels (0-100) of the extraction out of the maximal pixels ever extracted for the lake in the time series

Flag 'TRUE' if there are shared calendar day predictions for the lake in LAGOS-US LANDSAT

Flag 'TRUE' for a recommended base QAQC where 10%+ of lake pixels are retrieved, there are no negative median band reflectances, and the greatest pixel duplicate day data are selected for a prediction

Storage Type:

dateTime

float

string

float

string

Measurement Type:

dateTime

ratio

nominal

ratio

nominal

Measurement Values Domain:

Format	YYYY-MM-DD hh:mm
Precision

Unit	lagoslakeid
Type	real

Unit	microgramPerLiter
Type	real

Unit	nephelometric turbidity units
Type	real

Unit	milligramPerLiter
Type	real

Unit	milligramPerLiter
Type	real

Unit	platinum cobalt units
Type	real

Unit	meter
Type	real

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	FALSE
Definition	No band with negative reflectance pixels
Source

Code Definition

Code	TRUE
Definition	One or more bands contains pixels with negative reflectance
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	FALSE
Definition	No bands contains negative median reflectance
Source

Code Definition

Code	TRUE
Definition	One or more bands contains negative median reflectance
Source

Unit	percent
Type	real

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	FALSE
Definition	No other predictions for this calendar day are in LAGOS-US LANDSAT for this lake
Source

Code Definition

Code	TRUE
Definition	There are other predictions for this calendar day are in LAGOS-US LANDSAT for this lake
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	FALSE
Definition	Does not pass minimum recommended QAQC
Source

Code Definition

Code	TRUE
Definition	Passes minimum recommended QAQC
Source

Missing Value Code:

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/edi/1427/5/00d8e7d797b528839ed3c55297e62556
Name:	LAGOS_US_LANDSAT_matchups
Description:	Data table of matchups in situ water quality variables from LAGOS-US LIMNO with the Landsat surface reflectance data with an overpass window of +/- 7 calendar days.
Number of Records:	723206
Number of Columns:	54

Table Structure

Object Name:

LAGOS_US_LANDSAT_matchups.csv

Size:

425737352 byte

Authentication:

616ee856d5fbff20d9514317a221e5ba Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

BluedivGreenmedian

BluedivNIRmedian

BluedivRedmedian

BluedivSWIR1median

BluedivSWIR2median

Bluemedian

Bluemin

BluestdDev

CLOUD_COVER

CLOUD_COVER_LAND

GreendivNIRmedian

GreendivRedmedian

GreendivSWIR1median

GreendivSWIR2

Greenmedian

Greenmin

GreenstdDev

IMAGE_QUALITY_OLI

IMAGE_QUALITY_TIRS

KIVUmedian

LANDSAT_ID

NIRdivSWIR1median

NIRdivSWIR2median

NIRmedian

NIRmin

NIRstdDev

Pixelcount

ReddivNIRmedian

ReddivSWIR1median

ReddivSWIR2median

Redmedian

Redmin

RedstdDev

SATELLITE

SENSING_TIME

SWIR1divSWIR2median

SWIR1median

SWIR1min

SWIR1stdDev

SWIR2median

SWIR2min

SWIR2stdDev

WRS_PATH

WRS_ROW

lagoslakeid

date

sample_date

median_doc

median_chl

median_colort

median_secchi

median_tss

median_ntu

Day.diff

Column Name:

BluedivGreenmedian

BluedivNIRmedian

BluedivRedmedian

BluedivSWIR1median

BluedivSWIR2median

Bluemedian

Bluemin

BluestdDev

CLOUD_COVER

CLOUD_COVER_LAND

GreendivNIRmedian

GreendivRedmedian

GreendivSWIR1median

GreendivSWIR2median

Greenmedian

Greenmin

GreenstdDev

IMAGE_QUALITY_OLI

IMAGE_QUALITY_TIRS

KIVUmedian

LANDSAT_ID

NIRdivSWIR1median

NIRdivSWIR2median

NIRmedian

NIRmin

NIRstdDev

Pixelcount

ReddivNIRmedian

ReddivSWIR1median

ReddivSWIR2median

Redmedian

Redmin

RedstdDev

SATELLITE

SENSING_TIME

SWIR1divSWIR2median

SWIR1median

SWIR1min

SWIR1stdDev

SWIR2median

SWIR2min

SWIR2stdDev

WRS_PATH

WRS_ROW

lagoslakeid

date

sample_date

median_doc

median_chl

median_colort

median_secchi

median_tss

median_ntu

Day.diff

Definition:

pixel-wise median blue reflectance divided by median green reflectance

pixel-wise median blue reflectance divided by median NIR reflectance

pixel-wise median blue reflectance divided by median red reflectance

pixel-wise median blue reflectance divided by median SWIR1 reflectance

pixel-wise median blue reflectance divided by median SWIR2 reflectance

median blue reflectance value

minimum blue reflectance value

standard deviation of blue reflectance

cloud cover of the scene from raw Landsat metadata (percentage)

cloud cover of the scene over land from raw Landsat metadata (percentage)

pixel-wise median green reflectance divided by median NIR reflectance

pixel-wise median green reflectance divided by median red reflectance

pixel-wise median green reflectance divided by median SWIR1 reflectance

pixel-wise median green reflectance divided by median SWIR2 reflectance

median green reflectance value

minimum green reflectance value

standard deviation of green reflectance

OLI landsat metadata image quality; worst = 0 to best = 9

TIRS landsat metadata image quality; worst = 0 to best = 9

median 3-band value of the KIVU algorithm for chlorophyll retrieval on a pixel-wise basis

Landsat scene ID

pixel-wise median NIR reflectance divided by median SWIR1 reflectance

median NIR reflectance value

minimum NIR reflectance value

standard deviation of NIR reflectance

number of lake pixels included in the median reflectance calculations

pixel-wise median red reflectance divided by median NIR reflectance

pixel-wise median red reflectance divided by median SWIR1 reflectance

pixel-wise median red reflectance divided by median SWIR2 reflectance

median red reflectance value

minimum red reflectance value

standard deviation of red reflectance

satellite name

ISO 8601 string of time of satellite observation

pixel-wise median SWIR1 reflectance divided by median SWIR2 reflectance

median SWIR1 reflectance value

minimum SWIR1 reflectance value

standard deviation of SWIR1 reflectance

median SWIR2 reflectance value

minimum SWIR2 reflectance value

standard deviation of SWIR2 reflectance

WRS path number of scene

WRS row number of scene

unique lake identifier from the LAGOS-US research platform

calendar date of landsat overpass in YYYY-MM-DD format

calendar date of in situ water chemistry measurement in YYYY-MM-DD format

Median dissolved organic carbon (mgL, milligrams per liter) from LAGOS-US LIMNO Median chlorophyll a concentration (ugL, micrograms per liter) from LAGOS-US LIMNO Median apparent water color (pcu, platinum cobalt units) from LAGOS-US LIMNO Median true water color (pcu, platinum cobalt units) from LAGOS-US LIMNO Median Secchi depth (m, meters) from LAGOS-US LIMNO Median total suspended solids (mgL, milligrams per liter) from LAGOS-US LIMNO Median turbidity (NTU, nephelometric turbidity units) from LAGOS-US LIMNO Difference in calendar days between the satellite overpass and in situ water chemsitry measurement

Median chlorophyll a concentration (ugL, micrograms per liter) from LAGOS-US LIMNO

Median true water color (pcu, platinum cobalt units) from LAGOS-US LIMNO

Median Secchi depth (m, meters) from LAGOS-US LIMNO

Median total suspended solids (mgL, milligrams per liter) from LAGOS-US LIMNO

Median turbidity (NTU, nephelometric turbidity units) from LAGOS-US LIMNO

Difference in calendar days between the satellite overpass and in situ water chemsitry measurement

Storage Type:

float

string

float

string

float

string

dateTime

float

dateTime

float

Measurement Type:

ratio

nominal

ratio

nominal

ratio

nominal

dateTime

ratio

dateTime

ratio

Measurement Values Domain:

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	9
Definition	OLI Image Quality of 9 (highest value)
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	9
Definition	TIRS Image Quality of 9 (highest value)
Source

Unit	N/A
Type	real

Definition

text

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	number
Type	integer

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	LANDSAT_7
Definition	Landsat 7
Source

Code Definition

Code	LANDSAT_8
Definition	Landsat 8
Source

Format	YYYY-MM-DD hh:mm:ss
Precision

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	surface reflectance
Type	real

Unit	number
Type	real

Unit	number
Type	real

Unit	lagoslakeid
Type	real

Format	YYYY-MM-DD
Precision

Format	YYYY-MM-DD
Precision

Unit	milligramPerLiter
Type	real

Unit	microgramPerLiter
Type	real

Unit	platinum cobalt units
Type	real

Unit	meter
Type	real

Unit	milligramPerLiter
Type	real

Unit	nephelometric turbidity units
Type	real

Unit	days
Type	real

Missing Value Code:

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Non-Categorized Data Resource

Name:

LAGOS_US_LANDSAT_data_description

Entity Type:

text/csv

Description:

Data descriptions for LAGOS-US LANDSAT data tables, including variable names, variable descriptions, data type, and column index.

Physical Structure Description:

Object Name:

LAGOS_US_LANDSAT_data_description.csv

Size:

69229 byte

Authentication:

46459460b183afb3f8c1b972cc4fb412 Calculated By MD5

Externally Defined Format:

Format Name:

text/csv

Data:

https://pasta-s.lternet.edu/package/data/eml/edi/1427/5/fe4ec3a8af1e18b0fa8f9f8e451b55f4

Non-Categorized Data Resource

Name:

LAGOS_US_LANDSAT_compiledRS

Entity Type:

.rds

Description:

Data table of lagoslakeid and Landsat 5, 7, and 8 scene surface reflectance values for the median, minimum and standard deviation of each band as well as pixel-specific band ratios, cloud cover, and other associated variables. Data are based on Collection 1, which uses a scale factor of 0.0001.

Physical Structure Description:

Object Name:

LAGOS_US_LANDSAT_compiledRS.rds

Size:

10118930682 byte

Authentication:

22fa6f5d90372ea72038c3c9a502bf73 Calculated By MD5

Externally Defined Format:

Format Name:

.rds

Data:

https://pasta-s.lternet.edu/package/data/eml/edi/1427/5/fa73e9599b093898fb4bb597923d2714

Non-Categorized Data Resource

Name:

LAGOS_US_LANDSAT_TT

Entity Type:

ZIP Archive

Description:

This accompanying dataset from Hanly, P.J., K.E. Webster, and P.A. Soranno. 2024. LAGOS-US LANDSAT: Data module of remotely-sensed water quality estimates for U.S. lakes over 4 ha from 1984 to 2020 includes predictions from comparable random forest regression models as the main dataset 'LAGOS_US_LANDSAT_Predictions_v1_QAQC' but conducted using a 75% test and 25% train split that is spatially balanced using the generalized random tesselation stratified (GRTS) algorithm. The predictions will vary between the two datasets, but these additional data are provided for users that prefer to have an external measurement of prediction error. In general, we suggest usage of the full data prediction model. See the associated data paper for additional detail and error measurements for each prediction set.

Physical Structure Description:

Object Name:

LAGOS_US_LANDSAT_TT.zip

Size:

2703077360 byte

Authentication:

6534c4bd7f73af23cdd4c74d4aace6e9 Calculated By MD5

Externally Defined Format:

Format Name:

application/zip

Data:

https://pasta-s.lternet.edu/package/data/eml/edi/1427/5/8b3b018acabf5b5a82b08a57e53edeae

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
LTER Controlled Vocabulary	landsat, chlorophyll, secchi depth, lakes, water quality, remote sensing, satellite imagery, limnology

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package

Description:

Full methods description are available in the data paper associated with this data product. The steps to generate this data product were as follows:

1) Whole lake pixel extractions were extracted for Landsat 5, 7, and 8 overpasses using the areas of LAGOS-US lakes greater than or equal to 4 hectares. Pixels with a PIXEL_QA indicating clouds, cloud shadows, snow/ice, or fill data were excluded from extractions. The median reflectance of all bands was calculated for each lake overpass, as well as the minimum value, the standard deviation, and the 15 band ratio median calculated first on a pixel-wise basis. These data are provided in the data entity 'LAGOS_US_LANDSAT_compiledRS.rds'.

2) Extractions were matched up to LAGOS-US LIMNO in situ water quality data for six variables: chlorophyll, Secchi depth, total suspended solids, true water color, dissolved organic carbon and turbidity with a maximum window of 7 calendar days. These data are provided in the data entity 'LAGOS_US_LANDSAT_matchups.csv'

3) Random forest regression models optimized for matchup window, band model components, and filters for scene cloud cover and potential scene overcorrection were fit separately for each in situ water quality variable. Predictions for all reflectance sets contained in 'LAGOS_US_LANDSAT_compiledRS.rds' were created using final model output, alongside flags for negative reflectance, percent of the maximal pixels from the lake extracted, and whether a lake has multiple predictions on a calendar day's prediction due to scene overlap. To enable use of our data, we provide an additional column our predictions named ‘QAQC_recommend’, which when 'TRUE' indicates a prediction that is not based on any negative median reflectance values, contains at least 10% of the maximal pixels extracted for a lake in its time series, and selects the duplicated calendar day prediction with the greatest number of pixels, if relevant. These data are provided in the data entity 'LAGOS_US_LANDSAT_Predictions_v1_QAQC.csv'.

People and Organizations

Publishers:

Organization:

Environmental Data Initiative

Email Address:

info@edirepository.org

Web Address:

https://edirepository.org

Id:

https://ror.org/0330j0z60

Creators:

Individual:

Patrick J Hanly

Organization:

Michigan State University

Email Address:

hanlypat@msu.edu

Id:

https://orcid.org/0000-0001-9435-9572

Individual:

Katherine E. Webster

Organization:

Michigan State University

Email Address:

katherine.e.webster@gmail.com

Id:

https://orcid.org/0000-0002-6009-0146

Individual:

Patricia A. Soranno

Organization:

Michigan State University

Email Address:

soranno@msu.edu

Id:

https://orcid.org/0000-0003-1668-9271

Contacts:

Individual:

Patrick J Hanly

Organization:

Michigan State University

Email Address:

hanlypat@msu.edu

Id:

https://orcid.org/0000-0001-9435-9572

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period

Begin:

1984

End:

2020

Geographic Region:

Description:

Conterminous United States

Bounding Coordinates:

Northern:	49.0	Southern:	25.0
Western:	-125.0	Eastern:	-67.0

Project

Parent Project Information:

Title:

LAGOS-US LANDSAT

Personnel:

Individual:

Patrick J Hanly

Organization:

Michigan State University

Email Address:

hanlypat@msu.edu

Id:

https://orcid.org/0000-0001-9435-9572

Role:

Lead author

Individual:

Patricia A Soranno

Organization:

Michigan State University

Email Address:

soranno@msu.edu

Id:

https://orcid.org/0000-0003-1668-9271

Role:

Co-lead

Additional Award Information:

Funder:	US National Science Foundation
Number:	US NSF Macrosystems Biology Program grants: DEB‐1638679, DEB‐1638550, DEB‐1638539, DEB‐1638554
Title:	A macrosystems ecology framework for continental-scale prediction and understanding of lakes

Maintenance

Maintenance:

Description:	Data collection completed and no maintenance is planned.
Frequency:

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unitList')
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'surface reflectance'
        |     |     |     |  \___attribute 'name' = 'surface reflectance'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'N/A'
        |     |     |     |  \___attribute 'name' = 'N/A'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'lagoslakeid'
        |     |     |     |  \___attribute 'name' = 'lagoslakeid'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'platinum cobalt units'
        |     |     |     |  \___attribute 'name' = 'platinum cobalt units'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'nephelometric turbidity units'
        |     |     |     |  \___attribute 'name' = 'nephelometric turbidity units'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'days'
        |     |     |     |  \___attribute 'name' = 'days'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2024.10.09'
        |     |___text '\n      '
        |___text '\n   '

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EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

Data Package Metadata View Summary

LAGOS-US LANDSAT: Data module of remotely-sensed water quality estimates for U.S. lakes over 4 ha from 1984 to 2020

Data Entities

Data Table

Data Table

Non-Categorized Data Resource

Non-Categorized Data Resource

Non-Categorized Data Resource

Data Package Usage Rights

Keywords

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Parent Project Information:

Maintenance

Additional Metadata

Additional Metadata

Recently Added

Recently Updated

Data Package Metadata View Summary

LAGOS-US LANDSAT: Data module of remotely-sensed water quality estimates for U.S. lakes over 4 ha from 1984 to 2020

+/- Data Entities

Data Table

Data Table

Non-Categorized Data Resource

Non-Categorized Data Resource

Non-Categorized Data Resource

+/- Data Package Usage Rights

+/- Keywords

+/- Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

+/- People and Organizations

+/- Temporal, Geographic and Taxonomic Coverage

+/- Project

Parent Project Information:

+/- Maintenance

+/- Additional Metadata

+/- Additional Metadata

Data Entities

Data Package Usage Rights

Keywords

Methods and Protocols

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Maintenance

Additional Metadata

Additional Metadata