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
2013-05-22 09:58:48	ga_ls8c_ard_3-0-0_097067_2013-05-22_final
2013-05-22 09:59:12	ga_ls8c_ard_3-0-0_097068_2013-05-22_final
2013-05-22 09:59:36	ga_ls8c_ard_3-0-0_097069_2013-05-22_final
2013-05-22 10:00:00	ga_ls8c_ard_3-0-0_097070_2013-05-22_final
2013-05-22 10:00:24	ga_ls8c_ard_3-0-0_097071_2013-05-22_final
2013-05-24 09:49:39	ga_ls8c_ard_3-0-0_095075_2013-05-24_final
2013-05-24 09:50:03	ga_ls8c_ard_3-0-0_095076_2013-05-24_final
2013-05-24 09:50:27	ga_ls8c_ard_3-0-0_095077_2013-05-24_final
2013-05-24 09:50:50	ga_ls8c_ard_3-0-0_095078_2013-05-24_final
2013-05-24 09:51:14	ga_ls8c_ard_3-0-0_095079_2013-05-24_final
2013-05-24 09:51:38	ga_ls8c_ard_3-0-0_095080_2013-05-24_final
2013-05-24 09:52:02	ga_ls8c_ard_3-0-0_095081_2013-05-24_final
2013-05-26 09:40:29	ga_ls8c_ard_3-0-0_093083_2013-05-26_final
2013-05-26 09:40:53	ga_ls8c_ard_3-0-0_093084_2013-05-26_final
2013-05-26 09:41:17	ga_ls8c_ard_3-0-0_093085_2013-05-26_final
2013-05-26 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-05-26_final
2013-07-18 09:54:09	ga_ls8c_ard_3-0-0_096071_2013-07-18_final
2013-07-18 09:54:33	ga_ls8c_ard_3-0-0_096072_2013-07-18_final
2013-07-18 09:54:57	ga_ls8c_ard_3-0-0_096073_2013-07-18_final
2013-07-18 09:55:21	ga_ls8c_ard_3-0-0_096074_2013-07-18_final
2013-07-18 09:55:45	ga_ls8c_ard_3-0-0_096075_2013-07-18_final
2013-07-18 09:56:09	ga_ls8c_ard_3-0-0_096076_2013-07-18_final
2013-07-20 09:45:22	ga_ls8c_ard_3-0-0_094080_2013-07-20_final
2013-07-20 09:45:46	ga_ls8c_ard_3-0-0_094081_2013-07-20_final
2013-07-20 09:46:10	ga_ls8c_ard_3-0-0_094082_2013-07-20_final
2013-07-20 09:46:34	ga_ls8c_ard_3-0-0_094083_2013-07-20_final
2013-07-20 09:46:58	ga_ls8c_ard_3-0-0_094084_2013-07-20_final
2013-07-20 09:47:22	ga_ls8c_ard_3-0-0_094085_2013-07-20_final
2013-08-10 09:59:35	ga_ls8c_ard_3-0-0_097069_2013-08-10_final
2013-08-10 09:59:59	ga_ls8c_ard_3-1-0_097070_2013-08-10_final
2013-08-10 10:00:23	ga_ls8c_ard_3-0-0_097071_2013-08-10_final
2013-08-10 10:00:46	ga_ls8c_ard_3-0-0_097072_2013-08-10_final
2013-08-12 09:49:36	ga_ls8c_ard_3-0-0_095075_2013-08-12_final
2013-08-12 09:50:00	ga_ls8c_ard_3-0-0_095076_2013-08-12_final
2013-08-12 09:50:24	ga_ls8c_ard_3-0-0_095077_2013-08-12_final
2013-08-12 09:50:48	ga_ls8c_ard_3-0-0_095078_2013-08-12_final
2013-08-12 09:51:12	ga_ls8c_ard_3-0-0_095079_2013-08-12_final
2013-08-12 09:51:36	ga_ls8c_ard_3-0-0_095080_2013-08-12_final
2013-08-12 09:52:00	ga_ls8c_ard_3-0-0_095081_2013-08-12_final
2013-09-27 09:59:26	ga_ls8c_ard_3-0-0_097069_2013-09-27_final
2013-09-27 09:59:50	ga_ls8c_ard_3-0-0_097070_2013-09-27_final
2013-09-27 10:00:14	ga_ls8c_ard_3-0-0_097071_2013-09-27_final
2013-09-27 10:00:37	ga_ls8c_ard_3-0-0_097072_2013-09-27_final
2013-09-29 09:49:28	ga_ls8c_ard_3-0-0_095075_2013-09-29_final
2013-09-29 09:49:52	ga_ls8c_ard_3-0-0_095076_2013-09-29_final
2013-09-29 09:50:16	ga_ls8c_ard_3-0-0_095077_2013-09-29_final
2013-09-29 09:50:40	ga_ls8c_ard_3-0-0_095078_2013-09-29_final
2013-09-29 09:51:04	ga_ls8c_ard_3-0-0_095079_2013-09-29_final
2013-09-29 09:51:28	ga_ls8c_ard_3-0-0_095080_2013-09-29_final
2013-09-29 09:51:52	ga_ls8c_ard_3-0-0_095081_2013-09-29_final
2013-10-01 09:40:19	ga_ls8c_ard_3-0-0_093083_2013-10-01_final
2013-10-01 09:40:43	ga_ls8c_ard_3-0-0_093084_2013-10-01_final
2013-10-01 09:41:07	ga_ls8c_ard_3-0-0_093085_2013-10-01_final
2013-10-01 09:41:30	ga_ls8c_ard_3-0-0_093086_2013-10-01_final
2013-10-01 09:41:54	ga_ls8c_ard_3-0-0_093087_2013-10-01_final
2013-10-03 09:30:45	ga_ls8c_ard_3-0-0_091090_2013-10-03_final
2017-04-03 09:38:00	ga_ls8c_ard_3-0-0_093083_2017-04-03_final
2017-04-03 09:38:24	ga_ls8c_ard_3-0-0_093084_2017-04-03_final
2017-04-03 09:38:48	ga_ls8c_ard_3-0-0_093085_2017-04-03_final
2017-04-03 09:39:11	ga_ls8c_ard_3-0-0_093086_2017-04-03_final
2017-04-03 09:39:35	ga_ls8c_ard_3-0-0_093087_2017-04-03_final
2017-04-03 09:39:59	ga_ls8c_ard_3-0-0_093088_2017-04-03_final
2017-07-04 09:56:33	ga_ls8c_ard_3-0-0_097067_2017-07-04_final
2017-07-04 09:56:57	ga_ls8c_ard_3-0-0_097068_2017-07-04_final
2017-07-04 09:57:21	ga_ls8c_ard_3-0-0_097069_2017-07-04_final
2017-07-04 09:57:45	ga_ls8c_ard_3-0-0_097070_2017-07-04_final
2017-07-04 09:58:09	ga_ls8c_ard_3-0-0_097071_2017-07-04_final
2017-07-04 09:58:33	ga_ls8c_ard_3-0-0_097072_2017-07-04_final
2017-07-06 09:47:24	ga_ls8c_ard_3-0-0_095075_2017-07-06_final
2017-07-06 09:47:47	ga_ls8c_ard_3-0-0_095076_2017-07-06_final
2017-07-06 09:48:11	ga_ls8c_ard_3-0-0_095077_2017-07-06_final
2017-07-06 09:48:35	ga_ls8c_ard_3-0-0_095078_2017-07-06_final
2017-07-06 09:48:59	ga_ls8c_ard_3-0-0_095079_2017-07-06_final
2017-07-06 09:49:23	ga_ls8c_ard_3-0-0_095080_2017-07-06_final
2017-07-06 09:49:47	ga_ls8c_ard_3-0-0_095081_2017-07-06_final
2017-07-08 09:38:14	ga_ls8c_ard_3-0-0_093083_2017-07-08_final
2017-07-08 09:38:38	ga_ls8c_ard_3-0-0_093084_2017-07-08_final
2017-07-08 09:39:02	ga_ls8c_ard_3-0-0_093085_2017-07-08_final
2017-07-08 09:39:26	ga_ls8c_ard_3-0-0_093086_2017-07-08_final
2017-07-08 09:39:50	ga_ls8c_ard_3-0-0_093087_2017-07-08_final
2017-07-08 09:40:14	ga_ls8c_ard_3-0-0_093088_2017-07-08_final
2017-07-15 09:43:14	ga_ls8c_ard_3-0-0_094080_2017-07-15_final
2017-07-15 09:43:38	ga_ls8c_ard_3-0-0_094081_2017-07-15_final
2017-07-15 09:44:02	ga_ls8c_ard_3-0-0_094082_2017-07-15_final
2017-07-15 09:44:26	ga_ls8c_ard_3-0-0_094083_2017-07-15_final
2017-07-15 09:44:50	ga_ls8c_ard_3-0-0_094084_2017-07-15_final
2017-07-15 09:45:14	ga_ls8c_ard_3-0-0_094085_2017-07-15_final
2023-03-19 09:39:57	ga_ls8c_ard_3-2-1_093087_2023-03-19_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
2023-03-24 09:53:37	ga_ls8c_ard_3-2-1_096075_2023-03-24_final
2023-03-24 09:54:01	ga_ls8c_ard_3-2-1_096076_2023-03-24_final
2023-11-14 09:38:37	ga_ls8c_ard_3-2-1_093083_2023-11-14_final
2023-11-14 09:39:01	ga_ls8c_ard_3-2-1_093084_2023-11-14_final
2023-11-14 09:39:25	ga_ls8c_ard_3-2-1_093085_2023-11-14_final
2023-11-14 09:39:49	ga_ls8c_ard_3-2-1_093086_2023-11-14_final
2023-11-14 09:40:12	ga_ls8c_ard_3-2-1_093087_2023-11-14_final
2023-11-14 09:40:36	ga_ls8c_ard_3-2-1_093088_2023-11-14_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