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:

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First 100 results (query limit)

Time (local)	Label
2017-03-22 09:14:57	ga_ls8c_ard_3-0-0_089087_2017-03-21_final
2017-03-27 09:33:27	ga_ls8c_ard_3-0-0_092087_2017-03-27_final
2017-03-29 09:21:05	ga_ls8c_ard_3-0-0_090087_2017-03-28_final
2017-04-07 09:14:50	ga_ls8c_ard_3-0-0_089087_2017-04-06_final
2017-04-08 09:58:05	ga_ls8c_ard_3-0-0_096087_2017-04-08_final
2017-04-10 09:45:43	ga_ls8c_ard_3-0-0_094087_2017-04-10_final
2017-04-12 09:33:20	ga_ls8c_ard_3-0-0_092087_2017-04-12_final
2017-04-14 09:20:57	ga_ls8c_ard_3-0-0_090087_2017-04-13_final
2017-04-23 09:14:41	ga_ls8c_ard_3-0-0_089087_2017-04-22_final
2017-04-28 09:32:46	ga_ls8c_ard_3-0-0_092086_2017-04-28_final
2017-04-28 09:33:09	ga_ls8c_ard_3-0-0_092087_2017-04-28_final
2017-04-30 09:20:23	ga_ls8c_ard_3-0-0_090086_2017-04-29_final
2017-04-30 09:20:47	ga_ls8c_ard_3-0-0_090087_2017-04-29_final
2017-05-01 10:03:38	ga_ls8c_ard_3-0-0_097086_2017-05-01_final
2017-05-08 10:09:52	ga_ls8c_ard_3-0-0_098086_2017-05-08_final
2017-05-09 09:14:16	ga_ls8c_ard_3-0-0_089086_2017-05-08_final
2017-05-09 09:14:40	ga_ls8c_ard_3-0-0_089087_2017-05-08_final
2017-05-10 09:57:32	ga_ls8c_ard_3-0-0_096086_2017-05-10_final
2017-05-10 09:57:56	ga_ls8c_ard_3-0-0_096087_2017-05-10_final
2017-05-12 09:45:12	ga_ls8c_ard_3-0-0_094086_2017-05-12_final
2017-05-12 09:45:36	ga_ls8c_ard_3-0-0_094087_2017-05-12_final
2017-05-14 09:33:16	ga_ls8c_ard_3-0-0_092087_2017-05-14_final
2017-05-16 09:20:32	ga_ls8c_ard_3-0-0_090086_2017-05-15_final
2017-05-16 09:20:56	ga_ls8c_ard_3-0-0_090087_2017-05-15_final
2017-05-17 10:03:48	ga_ls8c_ard_3-0-0_097086_2017-05-17_final
2017-05-24 10:10:04	ga_ls8c_ard_3-0-0_098086_2017-05-24_final
2017-05-25 09:14:27	ga_ls8c_ard_3-0-0_089086_2017-05-24_final
2017-05-25 09:14:51	ga_ls8c_ard_3-0-0_089087_2017-05-24_final
2017-06-02 10:03:58	ga_ls8c_ard_3-0-0_097086_2017-06-02_final
2017-06-09 10:10:12	ga_ls8c_ard_3-0-0_098086_2017-06-09_final
2017-06-10 09:14:35	ga_ls8c_ard_3-0-0_089086_2017-06-09_final
2017-06-10 09:14:59	ga_ls8c_ard_3-0-0_089087_2017-06-09_final
2017-06-25 10:10:17	ga_ls8c_ard_3-0-0_098086_2017-06-25_final
2017-06-26 09:14:40	ga_ls8c_ard_3-0-0_089086_2017-06-25_final
2017-06-26 09:15:04	ga_ls8c_ard_3-0-0_089087_2017-06-25_final
2017-07-01 09:33:38	ga_ls8c_ard_3-0-0_092087_2017-07-01_final
2017-07-03 09:21:16	ga_ls8c_ard_3-0-0_090087_2017-07-02_final
2018-01-30 09:52:18	ga_ls8c_ard_3-0-0_095087_2018-01-30_final
2018-02-01 09:39:31	ga_ls8c_ard_3-0-0_093086_2018-02-01_final
2018-02-01 09:39:55	ga_ls8c_ard_3-0-0_093087_2018-02-01_final
2018-02-05 09:15:10	ga_ls8c_ard_3-0-0_089087_2018-02-04_final
2018-02-06 09:58:25	ga_ls8c_ard_3-0-0_096087_2018-02-06_final
2018-02-08 09:46:03	ga_ls8c_ard_3-0-0_094087_2018-02-08_final
2018-02-15 09:52:12	ga_ls8c_ard_3-0-0_095087_2018-02-15_final
2018-02-17 09:39:26	ga_ls8c_ard_3-0-0_093086_2018-02-17_final
2018-02-17 09:39:49	ga_ls8c_ard_3-0-0_093087_2018-02-17_final
2018-02-21 09:15:05	ga_ls8c_ard_3-0-0_089087_2018-02-20_final
2018-02-22 09:58:20	ga_ls8c_ard_3-0-0_096087_2018-02-22_final
2018-02-24 09:45:57	ga_ls8c_ard_3-0-0_094087_2018-02-24_final
2018-03-03 09:52:05	ga_ls8c_ard_3-0-0_095087_2018-03-03_final
2018-03-05 09:39:18	ga_ls8c_ard_3-0-0_093086_2018-03-05_final
2018-03-05 09:39:42	ga_ls8c_ard_3-0-0_093087_2018-03-05_final
2018-03-09 09:14:56	ga_ls8c_ard_3-0-0_089087_2018-03-08_final
2018-03-10 09:58:11	ga_ls8c_ard_3-0-0_096087_2018-03-10_final
2018-03-12 09:45:48	ga_ls8c_ard_3-0-0_094087_2018-03-12_final
2018-03-25 09:14:49	ga_ls8c_ard_3-0-0_089087_2018-03-24_final
2018-03-26 09:58:04	ga_ls8c_ard_3-0-0_096087_2018-03-26_final
2018-03-28 09:45:41	ga_ls8c_ard_3-0-0_094087_2018-03-28_final
2018-04-04 09:51:49	ga_ls8c_ard_3-0-0_095087_2018-04-04_final
2018-04-06 09:39:26	ga_ls8c_ard_3-0-0_093087_2018-04-06_final
2018-04-10 09:14:41	ga_ls8c_ard_3-0-0_089087_2018-04-09_final
2018-04-11 09:57:56	ga_ls8c_ard_3-0-0_096087_2018-04-11_final
2018-04-13 09:45:33	ga_ls8c_ard_3-0-0_094087_2018-04-13_final
2018-04-20 09:51:39	ga_ls8c_ard_3-0-0_095087_2018-04-20_final
2018-04-22 09:39:16	ga_ls8c_ard_3-0-0_093087_2018-04-22_final
2018-05-10 09:26:45	ga_ls8c_ard_3-0-0_091087_2018-05-09_final
2018-05-12 09:14:22	ga_ls8c_ard_3-0-0_089087_2018-05-11_final
2018-05-15 09:45:14	ga_ls8c_ard_3-0-0_094087_2018-05-15_final
2018-05-17 09:32:50	ga_ls8c_ard_3-0-0_092087_2018-05-17_final
2019-11-01 09:52:47	ga_ls8c_ard_3-1-0_095087_2019-11-01_final
2019-11-03 09:40:25	ga_ls8c_ard_3-1-0_093087_2019-11-03_final
2019-11-10 09:46:11	ga_ls8c_ard_3-1-0_094086_2019-11-10_final
2019-11-10 09:46:35	ga_ls8c_ard_3-1-0_094087_2019-11-10_final
2019-11-17 09:52:44	ga_ls8c_ard_3-1-0_095087_2019-11-17_final
2019-11-19 09:39:58	ga_ls8c_ard_3-1-0_093086_2019-11-19_final
2019-11-19 09:40:21	ga_ls8c_ard_3-1-0_093087_2019-11-19_final
2019-11-24 09:58:53	ga_ls8c_ard_3-1-0_096087_2019-11-24_final
2019-11-26 09:46:32	ga_ls8c_ard_3-1-0_094087_2019-11-26_final
2019-12-03 09:52:18	ga_ls8c_ard_3-1-0_095086_2019-12-03_final
2019-12-03 09:52:42	ga_ls8c_ard_3-1-0_095087_2019-12-03_final
2019-12-05 09:40:21	ga_ls8c_ard_3-1-0_093087_2019-12-05_final
2020-01-01 09:21:19	ga_ls8c_ard_3-1-0_090086_2019-12-31_final
2020-01-01 09:21:43	ga_ls8c_ard_3-1-0_090087_2019-12-31_final
2020-01-02 10:04:34	ga_ls8c_ard_3-1-0_097086_2020-01-02_final
2020-01-04 09:52:36	ga_ls8c_ard_3-1-0_095087_2020-01-04_final
2020-01-06 09:39:50	ga_ls8c_ard_3-1-0_093086_2020-01-06_final
2020-01-06 09:40:14	ga_ls8c_ard_3-1-0_093087_2020-01-06_final
2020-01-11 09:58:46	ga_ls8c_ard_3-1-0_096087_2020-01-11_final
2020-01-13 09:46:24	ga_ls8c_ard_3-1-0_094087_2020-01-13_final
2020-01-20 09:52:33	ga_ls8c_ard_3-1-0_095087_2020-01-20_final
2020-01-22 09:40:10	ga_ls8c_ard_3-1-0_093087_2020-01-22_final
2020-01-27 09:58:41	ga_ls8c_ard_3-1-0_096087_2020-01-27_final
2020-01-29 09:46:19	ga_ls8c_ard_3-1-0_094087_2020-01-29_final
2020-02-05 09:52:03	ga_ls8c_ard_3-1-0_095086_2020-02-05_final
2020-02-05 09:52:27	ga_ls8c_ard_3-1-0_095087_2020-02-05_final
2020-02-07 09:40:05	ga_ls8c_ard_3-1-0_093087_2020-02-07_final
2020-02-14 09:46:15	ga_ls8c_ard_3-1-0_094087_2020-02-14_final
2020-02-16 09:33:53	ga_ls8c_ard_3-1-0_092087_2020-02-16_final
2020-02-23 09:39:38	ga_ls8c_ard_3-1-0_093086_2020-02-23_final
2020-02-23 09:40:02	ga_ls8c_ard_3-1-0_093087_2020-02-23_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

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years