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
2015-07-24 09:57:46	ga_ls8c_ard_3-0-0_096086_2015-07-24_final
2015-07-24 09:58:10	ga_ls8c_ard_3-0-0_096087_2015-07-24_final
2015-09-08 10:10:24	ga_ls8c_ard_3-0-0_098086_2015-09-08_final
2015-09-09 09:15:11	ga_ls8c_ard_3-0-0_089087_2015-09-08_final
2015-09-10 09:58:03	ga_ls8c_ard_3-0-0_096086_2015-09-10_final
2015-09-10 09:58:27	ga_ls8c_ard_3-0-0_096087_2015-09-10_final
2015-10-02 09:21:06	ga_ls8c_ard_3-0-0_090086_2015-10-01_final
2015-10-02 09:21:30	ga_ls8c_ard_3-0-0_090087_2015-10-01_final
2015-10-26 10:10:37	ga_ls8c_ard_3-0-0_098086_2015-10-26_final
2015-10-27 09:15:00	ga_ls8c_ard_3-0-0_089086_2015-10-26_final
2015-10-27 09:15:24	ga_ls8c_ard_3-0-0_089087_2015-10-26_final
2015-10-28 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-10-28_final
2015-10-28 09:58:40	ga_ls8c_ard_3-0-0_096087_2015-10-28_final
2015-11-27 10:10:41	ga_ls8c_ard_3-0-0_098086_2015-11-27_final
2015-11-28 09:15:28	ga_ls8c_ard_3-0-0_089087_2015-11-27_final
2015-11-29 09:58:43	ga_ls8c_ard_3-0-0_096087_2015-11-29_final
2015-12-08 09:52:07	ga_ls8c_ard_3-0-0_095086_2015-12-08_final
2015-12-08 09:52:31	ga_ls8c_ard_3-0-0_095087_2015-12-08_final
2015-12-14 09:15:02	ga_ls8c_ard_3-0-0_089086_2015-12-13_final
2015-12-14 09:15:26	ga_ls8c_ard_3-0-0_089087_2015-12-13_final
2015-12-15 09:58:42	ga_ls8c_ard_3-0-0_096087_2015-12-15_final
2016-01-15 09:15:23	ga_ls8c_ard_3-0-0_089087_2016-01-14_final
2016-01-16 09:58:15	ga_ls8c_ard_3-0-0_096086_2016-01-16_final
2016-01-16 09:58:39	ga_ls8c_ard_3-0-0_096087_2016-01-16_final
2016-01-18 09:46:18	ga_ls8c_ard_3-0-0_094087_2016-01-18_final
2016-01-25 09:52:04	ga_ls8c_ard_3-0-0_095086_2016-01-25_final
2016-01-25 09:52:28	ga_ls8c_ard_3-0-0_095087_2016-01-25_final
2016-01-31 09:15:22	ga_ls8c_ard_3-0-0_089087_2016-01-30_final
2016-02-01 09:58:37	ga_ls8c_ard_3-0-0_096087_2016-02-01_final
2016-02-10 09:52:23	ga_ls8c_ard_3-0-0_095087_2016-02-10_final
2016-02-12 09:40:00	ga_ls8c_ard_3-0-0_093087_2016-02-12_final
2016-02-23 09:21:23	ga_ls8c_ard_3-0-0_090087_2016-02-22_final
2016-02-26 09:52:17	ga_ls8c_ard_3-0-0_095087_2016-02-26_final
2016-03-04 09:58:27	ga_ls8c_ard_3-0-0_096087_2016-03-04_final
2016-03-06 09:46:06	ga_ls8c_ard_3-0-0_094087_2016-03-06_final
2016-03-08 09:33:43	ga_ls8c_ard_3-0-0_092087_2016-03-08_final
2016-03-10 09:21:21	ga_ls8c_ard_3-0-0_090087_2016-03-09_final
2016-03-13 09:52:14	ga_ls8c_ard_3-0-0_095087_2016-03-13_final
2016-03-19 09:15:06	ga_ls8c_ard_3-0-0_089087_2016-03-18_final
2016-03-20 09:58:21	ga_ls8c_ard_3-0-0_096087_2016-03-20_final
2016-03-31 09:39:41	ga_ls8c_ard_3-0-0_093087_2016-03-31_final
2016-04-02 09:27:19	ga_ls8c_ard_3-0-0_091087_2016-04-01_final
2016-04-04 09:14:57	ga_ls8c_ard_3-0-0_089087_2016-04-03_final
2016-04-05 09:58:12	ga_ls8c_ard_3-0-0_096087_2016-04-05_final
2016-04-11 09:21:06	ga_ls8c_ard_3-0-0_090087_2016-04-10_final
2016-04-14 09:51:59	ga_ls8c_ard_3-0-0_095087_2016-04-14_final
2016-04-20 09:14:51	ga_ls8c_ard_3-0-0_089087_2016-04-19_final
2016-04-21 09:58:06	ga_ls8c_ard_3-0-0_096087_2016-04-21_final
2016-04-27 09:21:02	ga_ls8c_ard_3-0-0_090087_2016-04-26_final
2016-04-30 09:51:59	ga_ls8c_ard_3-0-0_095087_2016-04-30_final
2019-02-18 09:52:07	ga_ls8c_ard_3-0-0_095087_2019-02-18_final
2019-02-20 09:39:21	ga_ls8c_ard_3-0-0_093086_2019-02-20_final
2019-02-20 09:39:45	ga_ls8c_ard_3-0-0_093087_2019-02-20_final
2019-02-22 09:27:23	ga_ls8c_ard_3-0-0_091087_2019-02-21_final
2019-03-06 09:52:03	ga_ls8c_ard_3-0-0_095087_2019-03-06_final
2019-03-08 09:39:40	ga_ls8c_ard_3-1-0_093087_2019-03-08_final
2019-03-15 09:45:48	ga_ls8c_ard_3-1-0_094087_2019-03-15_final
2019-03-17 09:33:26	ga_ls8c_ard_3-1-0_092087_2019-03-17_final
2019-03-28 09:14:52	ga_ls8c_ard_3-1-0_089087_2019-03-27_final
2019-03-29 09:58:07	ga_ls8c_ard_3-1-0_096087_2019-03-29_final
2019-05-02 09:45:14	ga_ls8c_ard_3-0-0_094086_2019-05-02_final
2019-05-02 09:45:38	ga_ls8c_ard_3-0-0_094087_2019-05-02_final
2019-05-04 09:33:18	ga_ls8c_ard_3-0-0_092087_2019-05-04_final
2019-05-06 09:20:33	ga_ls8c_ard_3-0-0_090086_2019-05-05_final
2019-05-06 09:20:57	ga_ls8c_ard_3-0-0_090087_2019-05-05_final
2019-05-14 10:10:05	ga_ls8c_ard_3-0-0_098086_2019-05-14_final
2019-05-15 09:14:29	ga_ls8c_ard_3-0-0_089086_2019-05-14_final
2019-05-15 09:14:53	ga_ls8c_ard_3-0-0_089087_2019-05-14_final
2019-05-16 09:58:09	ga_ls8c_ard_3-0-0_096087_2019-05-16_final
2019-06-19 09:45:39	ga_ls8c_ard_3-1-0_094086_2019-06-19_final
2019-06-19 09:46:03	ga_ls8c_ard_3-1-0_094087_2019-06-19_final
2019-07-03 09:58:29	ga_ls8c_ard_3-1-0_096087_2019-07-03_final
2019-07-12 09:51:56	ga_ls8c_ard_3-1-0_095086_2019-07-12_final
2019-07-12 09:52:20	ga_ls8c_ard_3-1-0_095087_2019-07-12_final
2019-08-11 10:04:28	ga_ls8c_ard_3-1-0_097086_2019-08-11_final
2019-08-13 09:52:31	ga_ls8c_ard_3-1-0_095087_2019-08-13_final
2019-08-15 09:39:46	ga_ls8c_ard_3-1-0_093086_2019-08-15_final
2019-08-15 09:40:10	ga_ls8c_ard_3-1-0_093087_2019-08-15_final
2019-08-29 09:52:11	ga_ls8c_ard_3-1-0_095086_2019-08-29_final
2019-08-29 09:52:35	ga_ls8c_ard_3-1-0_095087_2019-08-29_final
2019-09-07 09:46:26	ga_ls8c_ard_3-1-0_094087_2019-09-07_final
2019-09-30 09:52:20	ga_ls8c_ard_3-1-0_095086_2019-09-30_final
2019-09-30 09:52:44	ga_ls8c_ard_3-1-0_095087_2019-09-30_final
2019-10-18 09:40:25	ga_ls8c_ard_3-1-0_093087_2019-10-18_final
2019-10-25 09:46:36	ga_ls8c_ard_3-1-0_094087_2019-10-25_final
2019-11-17 09:52:44	ga_ls8c_ard_3-1-0_095087_2019-11-17_final
2019-12-05 09:40:21	ga_ls8c_ard_3-1-0_093087_2019-12-05_final
2022-09-29 09:58:49	ga_ls8c_ard_3-2-1_096086_2022-09-29_final
2022-10-01 09:46:51	ga_ls8c_ard_3-2-1_094087_2022-10-01_final
2022-10-03 09:34:28	ga_ls8c_ard_3-2-1_092087_2022-10-03_final
2022-10-05 09:22:06	ga_ls8c_ard_3-2-1_090087_2022-10-04_final
2022-10-08 09:52:58	ga_ls8c_ard_3-2-1_095087_2022-10-08_final
2022-10-10 09:40:11	ga_ls8c_ard_3-2-1_093086_2022-10-10_final
2022-10-10 09:40:35	ga_ls8c_ard_3-2-1_093087_2022-10-10_final
2022-10-12 09:28:11	ga_ls8c_ard_3-2-1_091087_2022-10-11_final
2022-10-17 09:46:45	ga_ls8c_ard_3-2-1_094087_2022-10-17_final
2022-10-19 09:34:24	ga_ls8c_ard_3-2-1_092087_2022-10-19_final
2022-10-21 09:22:04	ga_ls8c_ard_3-2-1_090087_2022-10-20_final
2022-10-24 09:53:00	ga_ls8c_ard_3-2-1_095087_2022-10-24_final
2022-10-26 09:40:39	ga_ls8c_ard_3-2-1_093087_2022-10-26_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years