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
2015-02-16 09:42:25	ga_ls8c_ard_3-0-0_094078_2015-02-16_final
2015-02-16 09:42:49	ga_ls8c_ard_3-0-0_094079_2015-02-16_final
2015-02-16 09:43:13	ga_ls8c_ard_3-0-0_094080_2015-02-16_final
2015-02-16 09:43:37	ga_ls8c_ard_3-0-0_094081_2015-02-16_final
2015-02-16 09:44:01	ga_ls8c_ard_3-0-0_094082_2015-02-16_final
2015-02-16 09:44:25	ga_ls8c_ard_3-0-0_094083_2015-02-16_final
2015-02-18 09:32:52	ga_ls8c_ard_3-0-0_092085_2015-02-18_final
2015-02-18 09:33:16	ga_ls8c_ard_3-0-0_092086_2015-02-18_final
2015-02-18 09:33:40	ga_ls8c_ard_3-0-0_092087_2015-02-18_final
2015-02-18 09:34:04	ga_ls8c_ard_3-0-0_092088_2015-02-18_final
2015-02-18 09:34:28	ga_ls8c_ard_3-0-0_092089_2015-02-18_final
2017-03-23 09:51:01	ga_ls8c_ard_3-0-0_096069_2017-03-23_final
2017-03-23 09:51:25	ga_ls8c_ard_3-0-0_096070_2017-03-23_final
2017-03-23 09:51:49	ga_ls8c_ard_3-0-0_096071_2017-03-23_final
2017-03-23 09:52:13	ga_ls8c_ard_3-0-0_096072_2017-03-23_final
2017-03-23 09:52:37	ga_ls8c_ard_3-0-0_096073_2017-03-23_final
2017-03-23 09:53:01	ga_ls8c_ard_3-0-0_096074_2017-03-23_final
2017-04-15 09:56:14	ga_ls8c_ard_3-0-0_097067_2017-04-15_final
2017-04-15 09:56:38	ga_ls8c_ard_3-0-0_097068_2017-04-15_final
2017-04-15 09:57:01	ga_ls8c_ard_3-0-0_097069_2017-04-15_final
2017-04-17 09:46:14	ga_ls8c_ard_3-0-0_095073_2017-04-17_final
2017-04-17 09:46:38	ga_ls8c_ard_3-0-0_095074_2017-04-17_final
2017-04-17 09:47:02	ga_ls8c_ard_3-0-0_095075_2017-04-17_final
2017-04-17 09:47:26	ga_ls8c_ard_3-0-0_095076_2017-04-17_final
2017-04-17 09:47:50	ga_ls8c_ard_3-0-0_095077_2017-04-17_final
2017-04-17 09:48:14	ga_ls8c_ard_3-0-0_095078_2017-04-17_final
2017-04-17 09:48:38	ga_ls8c_ard_3-0-0_095079_2017-04-17_final
2017-04-28 09:32:22	ga_ls8c_ard_3-0-0_092085_2017-04-28_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
2017-04-28 09:33:33	ga_ls8c_ard_3-0-0_092088_2017-04-28_final
2017-04-28 09:33:57	ga_ls8c_ard_3-0-0_092089_2017-04-28_final
2017-04-28 09:34:21	ga_ls8c_ard_3-0-0_092090_2017-04-28_final
2017-07-17 09:32:53	ga_ls8c_ard_3-0-0_092085_2017-07-17_final
2017-07-17 09:33:17	ga_ls8c_ard_3-0-0_092086_2017-07-17_final
2017-07-17 09:33:41	ga_ls8c_ard_3-0-0_092087_2017-07-17_final
2017-07-17 09:34:05	ga_ls8c_ard_3-0-0_092088_2017-07-17_final
2017-07-17 09:34:29	ga_ls8c_ard_3-0-0_092089_2017-07-17_final
2017-07-17 09:34:53	ga_ls8c_ard_3-0-0_092090_2017-07-17_final
2017-07-29 09:51:20	ga_ls8c_ard_3-0-0_096069_2017-07-29_final
2017-07-29 09:51:44	ga_ls8c_ard_3-0-0_096070_2017-07-29_final
2017-07-29 09:52:08	ga_ls8c_ard_3-0-0_096071_2017-07-29_final
2017-07-29 09:52:31	ga_ls8c_ard_3-0-0_096072_2017-07-29_final
2017-07-29 09:52:55	ga_ls8c_ard_3-0-0_096073_2017-07-29_final
2017-07-29 09:53:19	ga_ls8c_ard_3-0-0_096074_2017-07-29_final
2017-08-09 09:38:03	ga_ls8c_ard_3-0-0_093082_2017-08-09_final
2017-08-09 09:38:27	ga_ls8c_ard_3-0-0_093083_2017-08-09_final
2017-08-09 09:38:51	ga_ls8c_ard_3-0-0_093084_2017-08-09_final
2017-08-09 09:39:15	ga_ls8c_ard_3-0-0_093085_2017-08-09_final
2017-08-09 09:39:39	ga_ls8c_ard_3-0-0_093086_2017-08-09_final
2017-08-09 09:40:03	ga_ls8c_ard_3-0-0_093087_2017-08-09_final
2017-08-11 09:28:30	ga_ls8c_ard_3-0-0_091089_2017-08-10_final
2017-08-11 09:28:54	ga_ls8c_ard_3-0-0_091090_2017-08-10_final
2017-08-11 09:29:18	ga_ls8c_ard_3-0-0_091091_2017-08-10_final
2017-08-16 09:42:40	ga_ls8c_ard_3-0-0_094078_2017-08-16_final
2017-08-16 09:43:04	ga_ls8c_ard_3-0-0_094079_2017-08-16_final
2017-08-16 09:43:28	ga_ls8c_ard_3-0-0_094080_2017-08-16_final
2017-08-18 09:33:07	ga_ls8c_ard_3-0-0_092085_2017-08-18_final
2017-08-18 09:33:31	ga_ls8c_ard_3-0-0_092086_2017-08-18_final
2017-08-18 09:33:55	ga_ls8c_ard_3-0-0_092087_2017-08-18_final
2017-08-18 09:34:19	ga_ls8c_ard_3-0-0_092088_2017-08-18_final
2017-08-18 09:34:43	ga_ls8c_ard_3-0-0_092089_2017-08-18_final
2017-08-18 09:35:06	ga_ls8c_ard_3-0-0_092090_2017-08-18_final
2017-08-25 09:38:07	ga_ls8c_ard_3-0-0_093082_2017-08-25_final
2017-08-25 09:38:31	ga_ls8c_ard_3-0-0_093083_2017-08-25_final
2017-08-25 09:38:55	ga_ls8c_ard_3-0-0_093084_2017-08-25_final
2017-08-25 09:39:19	ga_ls8c_ard_3-0-0_093085_2017-08-25_final
2017-08-25 09:39:43	ga_ls8c_ard_3-0-0_093086_2017-08-25_final
2017-08-25 09:40:07	ga_ls8c_ard_3-0-0_093087_2017-08-25_final
2017-08-27 09:28:34	ga_ls8c_ard_3-0-0_091089_2017-08-26_final
2017-08-27 09:28:58	ga_ls8c_ard_3-0-0_091090_2017-08-26_final
2017-08-27 09:29:22	ga_ls8c_ard_3-0-0_091091_2017-08-26_final
2023-03-24 09:51:37	ga_ls8c_ard_3-2-1_096070_2023-03-24_final
2023-03-24 09:52:01	ga_ls8c_ard_3-2-1_096071_2023-03-24_final
2023-03-24 09:52:25	ga_ls8c_ard_3-2-1_096072_2023-03-24_final
2023-03-24 09:52:49	ga_ls8c_ard_3-2-1_096073_2023-03-24_final
2023-03-24 09:53:13	ga_ls8c_ard_3-2-1_096074_2023-03-24_final
2023-03-28 09:32:52	ga_ls8c_ard_3-2-1_092085_2023-03-28_final
2023-03-28 09:33:16	ga_ls8c_ard_3-2-1_092086_2023-03-28_final
2023-03-28 09:33:40	ga_ls8c_ard_3-2-1_092087_2023-03-28_final
2023-03-28 09:34:04	ga_ls8c_ard_3-2-1_092088_2023-03-28_final
2023-03-28 09:34:28	ga_ls8c_ard_3-2-1_092089_2023-03-28_final
2023-03-28 09:34:52	ga_ls8c_ard_3-2-1_092090_2023-03-28_final
2023-04-02 09:46:34	ga_ls8c_ard_3-2-1_095073_2023-04-02_final
2023-04-02 09:46:58	ga_ls8c_ard_3-2-1_095074_2023-04-02_final
2023-04-02 09:47:22	ga_ls8c_ard_3-2-1_095075_2023-04-02_final
2023-04-02 09:47:46	ga_ls8c_ard_3-2-1_095076_2023-04-02_final
2023-04-02 09:48:09	ga_ls8c_ard_3-2-1_095077_2023-04-02_final
2023-04-02 09:48:33	ga_ls8c_ard_3-2-1_095078_2023-04-02_final
2023-04-02 09:48:57	ga_ls8c_ard_3-2-1_095079_2023-04-02_final
2023-04-09 09:51:24	ga_ls8c_ard_3-2-1_096070_2023-04-09_final
2023-04-09 09:51:48	ga_ls8c_ard_3-2-1_096071_2023-04-09_final
2023-04-09 09:52:11	ga_ls8c_ard_3-2-1_096072_2023-04-09_final
2023-04-09 09:52:35	ga_ls8c_ard_3-2-1_096073_2023-04-09_final
2023-04-09 09:52:59	ga_ls8c_ard_3-2-1_096074_2023-04-09_final
2023-04-11 09:42:11	ga_ls8c_ard_3-2-1_094078_2023-04-11_final
2023-04-11 09:42:35	ga_ls8c_ard_3-2-1_094079_2023-04-11_final
2023-04-11 09:42:59	ga_ls8c_ard_3-2-1_094080_2023-04-11_final
2023-04-11 09:43:23	ga_ls8c_ard_3-2-1_094081_2023-04-11_final
2023-04-11 09:43:46	ga_ls8c_ard_3-2-1_094082_2023-04-11_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