Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2019-09-14 11:24:22	ga_ls8c_ard_3-1-0_111069_2019-09-14_final
2019-09-14 11:24:45	ga_ls8c_ard_3-1-0_111070_2019-09-14_final
2019-09-14 11:25:09	ga_ls8c_ard_3-1-0_111071_2019-09-14_final
2019-09-14 11:25:33	ga_ls8c_ard_3-1-0_111072_2019-09-14_final
2019-09-14 11:25:57	ga_ls8c_ard_3-1-0_111073_2019-09-14_final
2019-09-14 11:26:21	ga_ls8c_ard_3-1-0_111074_2019-09-14_final
2019-11-05 11:06:08	ga_ls8c_ard_3-1-0_107085_2019-11-05_final
2019-11-17 11:24:26	ga_ls8c_ard_3-1-0_111069_2019-11-17_final
2019-11-17 11:24:50	ga_ls8c_ard_3-1-0_111070_2019-11-17_final
2019-11-17 11:25:14	ga_ls8c_ard_3-1-0_111071_2019-11-17_final
2019-11-17 11:25:38	ga_ls8c_ard_3-1-0_111072_2019-11-17_final
2019-11-17 11:26:01	ga_ls8c_ard_3-1-0_111073_2019-11-17_final
2019-11-17 11:26:25	ga_ls8c_ard_3-1-0_111074_2019-11-17_final
2019-11-19 11:15:39	ga_ls8c_ard_3-1-0_109078_2019-11-19_final
2019-11-19 11:16:03	ga_ls8c_ard_3-1-0_109079_2019-11-19_final
2019-11-19 11:16:27	ga_ls8c_ard_3-1-0_109080_2019-11-19_final
2019-11-19 11:16:51	ga_ls8c_ard_3-1-0_109081_2019-11-19_final
2019-11-19 11:17:15	ga_ls8c_ard_3-1-0_109082_2019-11-19_final
2019-11-19 11:17:39	ga_ls8c_ard_3-1-0_109083_2019-11-19_final
2020-01-04 11:24:18	ga_ls8c_ard_3-1-0_111069_2020-01-04_final
2020-01-04 11:24:42	ga_ls8c_ard_3-1-0_111070_2020-01-04_final
2020-01-04 11:25:06	ga_ls8c_ard_3-1-0_111071_2020-01-04_final
2020-01-04 11:25:30	ga_ls8c_ard_3-1-0_111072_2020-01-04_final
2020-01-04 11:25:54	ga_ls8c_ard_3-1-0_111073_2020-01-04_final
2020-01-04 11:26:18	ga_ls8c_ard_3-1-0_111074_2020-01-04_final
2020-02-21 11:24:06	ga_ls8c_ard_3-1-0_111069_2020-02-21_final
2020-02-21 11:24:30	ga_ls8c_ard_3-1-0_111070_2020-02-21_final
2020-02-21 11:24:54	ga_ls8c_ard_3-1-0_111071_2020-02-21_final
2020-02-21 11:25:18	ga_ls8c_ard_3-1-0_111072_2020-02-21_final
2020-02-21 11:25:42	ga_ls8c_ard_3-1-0_111073_2020-02-21_final
2020-02-21 11:26:06	ga_ls8c_ard_3-1-0_111074_2020-02-21_final
2020-12-12 11:29:49	ga_ls8c_ard_3-1-0_112067_2020-12-12_final
2020-12-12 11:30:13	ga_ls8c_ard_3-1-0_112068_2020-12-12_final
2020-12-12 11:30:37	ga_ls8c_ard_3-1-0_112069_2020-12-12_final
2021-01-06 11:24:20	ga_ls8c_ard_3-2-0_111069_2021-01-06_final
2021-01-06 11:24:44	ga_ls8c_ard_3-2-0_111070_2021-01-06_final
2021-01-06 11:25:08	ga_ls8c_ard_3-2-0_111071_2021-01-06_final
2021-01-06 11:25:32	ga_ls8c_ard_3-2-0_111072_2021-01-06_final
2021-01-06 11:25:56	ga_ls8c_ard_3-2-0_111073_2021-01-06_final
2021-01-06 11:26:20	ga_ls8c_ard_3-2-0_111074_2021-01-06_final
2021-01-08 11:15:33	ga_ls8c_ard_3-2-0_109078_2021-01-08_final
2021-01-08 11:15:57	ga_ls8c_ard_3-2-0_109079_2021-01-08_final
2021-01-08 11:16:21	ga_ls8c_ard_3-2-0_109080_2021-01-08_final
2021-01-08 11:16:45	ga_ls8c_ard_3-2-0_109081_2021-01-08_final
2021-01-08 11:17:09	ga_ls8c_ard_3-2-0_109082_2021-01-08_final
2021-01-08 11:17:33	ga_ls8c_ard_3-2-0_109083_2021-01-08_final
2021-01-10 11:05:58	ga_ls8c_ard_3-2-0_107085_2021-01-10_final
2021-01-13 11:29:40	ga_ls8c_ard_3-2-0_112067_2021-01-13_final
2021-01-13 11:30:04	ga_ls8c_ard_3-2-0_112068_2021-01-13_final
2021-01-13 11:30:28	ga_ls8c_ard_3-2-0_112069_2021-01-13_final
2021-01-15 11:19:41	ga_ls8c_ard_3-2-0_110073_2021-01-15_final
2021-01-15 11:20:05	ga_ls8c_ard_3-2-0_110074_2021-01-15_final
2021-01-15 11:20:29	ga_ls8c_ard_3-2-0_110075_2021-01-15_final
2021-01-15 11:20:53	ga_ls8c_ard_3-2-0_110076_2021-01-15_final
2021-01-15 11:21:17	ga_ls8c_ard_3-2-0_110077_2021-01-15_final
2021-01-15 11:21:41	ga_ls8c_ard_3-2-0_110078_2021-01-15_final
2021-01-15 11:22:04	ga_ls8c_ard_3-2-0_110079_2021-01-15_final
2021-01-17 11:10:54	ga_ls8c_ard_3-2-0_108082_2021-01-17_final
2021-01-17 11:11:18	ga_ls8c_ard_3-2-0_108083_2021-01-17_final
2021-01-17 11:11:42	ga_ls8c_ard_3-2-0_108084_2021-01-17_final
2021-01-17 11:12:05	ga_ls8c_ard_3-2-0_108085_2021-01-17_final
2021-01-22 11:24:14	ga_ls8c_ard_3-2-0_111069_2021-01-22_final
2021-01-22 11:24:38	ga_ls8c_ard_3-2-0_111070_2021-01-22_final
2021-01-22 11:25:02	ga_ls8c_ard_3-2-0_111071_2021-01-22_final
2021-01-22 11:25:26	ga_ls8c_ard_3-2-0_111072_2021-01-22_final
2021-01-22 11:25:50	ga_ls8c_ard_3-2-0_111073_2021-01-22_final
2021-01-22 11:26:14	ga_ls8c_ard_3-2-0_111074_2021-01-22_final
2021-12-01 11:19:52	ga_ls8c_ard_3-2-0_110073_2021-12-01_final
2021-12-01 11:20:16	ga_ls8c_ard_3-2-0_110074_2021-12-01_final
2021-12-01 11:20:40	ga_ls8c_ard_3-2-0_110075_2021-12-01_final
2021-12-01 11:21:04	ga_ls8c_ard_3-2-0_110076_2021-12-01_final
2021-12-01 11:21:28	ga_ls8c_ard_3-2-0_110077_2021-12-01_final
2021-12-01 11:21:52	ga_ls8c_ard_3-2-0_110078_2021-12-01_final
2021-12-01 11:22:16	ga_ls8c_ard_3-2-0_110079_2021-12-01_final
2021-12-03 11:11:06	ga_ls8c_ard_3-2-0_108082_2021-12-03_final
2021-12-03 11:11:30	ga_ls8c_ard_3-2-0_108083_2021-12-03_final
2021-12-03 11:11:54	ga_ls8c_ard_3-2-0_108084_2021-12-03_final
2021-12-17 11:19:51	ga_ls8c_ard_3-2-1_110073_2021-12-17_final
2021-12-17 11:20:15	ga_ls8c_ard_3-2-1_110074_2021-12-17_final
2021-12-17 11:20:38	ga_ls8c_ard_3-2-1_110075_2021-12-17_final
2021-12-17 11:21:02	ga_ls8c_ard_3-2-1_110076_2021-12-17_final
2021-12-17 11:21:26	ga_ls8c_ard_3-2-1_110077_2021-12-17_final
2021-12-17 11:21:50	ga_ls8c_ard_3-2-1_110078_2021-12-17_final
2021-12-17 11:22:14	ga_ls8c_ard_3-2-1_110079_2021-12-17_final
2021-12-19 11:11:04	ga_ls8c_ard_3-2-1_108082_2021-12-19_final
2021-12-19 11:11:28	ga_ls8c_ard_3-2-1_108083_2021-12-19_final
2021-12-19 11:11:52	ga_ls8c_ard_3-2-1_108084_2021-12-19_final
2022-01-02 11:19:45	ga_ls8c_ard_3-2-1_110073_2022-01-02_final
2022-01-02 11:20:09	ga_ls8c_ard_3-2-1_110074_2022-01-02_final
2022-01-02 11:20:33	ga_ls8c_ard_3-2-1_110075_2022-01-02_final
2022-01-02 11:20:57	ga_ls8c_ard_3-2-1_110076_2022-01-02_final
2022-01-02 11:21:21	ga_ls8c_ard_3-2-1_110077_2022-01-02_final
2022-01-02 11:21:45	ga_ls8c_ard_3-2-1_110078_2022-01-02_final
2022-01-02 11:22:09	ga_ls8c_ard_3-2-1_110079_2022-01-02_final
2022-01-18 11:19:43	ga_ls8c_ard_3-2-1_110073_2022-01-18_final
2022-01-18 11:20:07	ga_ls8c_ard_3-2-1_110074_2022-01-18_final
2022-01-18 11:20:31	ga_ls8c_ard_3-2-1_110075_2022-01-18_final
2022-01-18 11:20:55	ga_ls8c_ard_3-2-1_110076_2022-01-18_final
2022-01-18 11:21:19	ga_ls8c_ard_3-2-1_110077_2022-01-18_final
2022-01-18 11:21:42	ga_ls8c_ard_3-2-1_110078_2022-01-18_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

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