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
2015-07-19 09:38:00	ga_ls8c_ard_3-0-0_093083_2015-07-19_final
2015-07-19 09:38:24	ga_ls8c_ard_3-0-0_093084_2015-07-19_final
2015-07-19 09:38:48	ga_ls8c_ard_3-0-0_093085_2015-07-19_final
2015-07-19 09:39:12	ga_ls8c_ard_3-0-0_093086_2015-07-19_final
2015-07-19 09:39:36	ga_ls8c_ard_3-0-0_093087_2015-07-19_final
2015-07-19 09:40:00	ga_ls8c_ard_3-0-0_093088_2015-07-19_final
2015-07-21 09:28:27	ga_ls8c_ard_3-0-0_091090_2015-07-20_final
2015-07-21 09:28:51	ga_ls8c_ard_3-0-0_091091_2015-07-20_final
2015-08-20 09:38:11	ga_ls8c_ard_3-0-0_093083_2015-08-20_final
2015-08-20 09:38:35	ga_ls8c_ard_3-0-0_093084_2015-08-20_final
2015-08-20 09:38:59	ga_ls8c_ard_3-0-0_093085_2015-08-20_final
2015-08-20 09:39:23	ga_ls8c_ard_3-0-0_093086_2015-08-20_final
2015-08-20 09:39:47	ga_ls8c_ard_3-0-0_093087_2015-08-20_final
2015-08-20 09:40:11	ga_ls8c_ard_3-0-0_093088_2015-08-20_final
2015-08-22 09:28:38	ga_ls8c_ard_3-0-0_091090_2015-08-21_final
2015-08-22 09:29:02	ga_ls8c_ard_3-0-0_091091_2015-08-21_final
2015-09-21 09:38:24	ga_ls8c_ard_3-0-0_093083_2015-09-21_final
2015-09-21 09:38:48	ga_ls8c_ard_3-0-0_093084_2015-09-21_final
2015-09-21 09:39:12	ga_ls8c_ard_3-0-0_093085_2015-09-21_final
2015-09-21 09:39:36	ga_ls8c_ard_3-0-0_093086_2015-09-21_final
2015-09-21 09:40:00	ga_ls8c_ard_3-0-0_093087_2015-09-21_final
2015-09-21 09:40:24	ga_ls8c_ard_3-0-0_093088_2015-09-21_final
2015-09-23 09:28:51	ga_ls8c_ard_3-0-0_091090_2015-09-22_final
2015-09-23 09:29:15	ga_ls8c_ard_3-0-0_091091_2015-09-22_final
2015-11-26 09:29:01	ga_ls8c_ard_3-0-0_091090_2015-11-25_final
2015-11-26 09:29:25	ga_ls8c_ard_3-0-0_091091_2015-11-25_final
2019-02-27 09:43:06	ga_ls8c_ard_3-0-0_094080_2019-02-27_final
2019-02-27 09:43:30	ga_ls8c_ard_3-0-0_094081_2019-02-27_final
2019-02-27 09:43:54	ga_ls8c_ard_3-0-0_094082_2019-02-27_final
2019-02-27 09:44:18	ga_ls8c_ard_3-0-0_094083_2019-02-27_final
2019-02-27 09:44:42	ga_ls8c_ard_3-0-0_094084_2019-02-27_final
2019-02-27 09:45:06	ga_ls8c_ard_3-0-0_094085_2019-02-27_final
2019-03-01 09:33:32	ga_ls8c_ard_3-0-0_092087_2019-03-01_final
2019-03-01 09:33:56	ga_ls8c_ard_3-0-0_092088_2019-03-01_final
2019-03-01 09:34:20	ga_ls8c_ard_3-0-0_092089_2019-03-01_final
2019-03-01 09:34:44	ga_ls8c_ard_3-0-0_092090_2019-03-01_final
2019-04-11 09:28:21	ga_ls8c_ard_3-1-0_091090_2019-04-10_final
2019-04-11 09:28:45	ga_ls8c_ard_3-1-0_091091_2019-04-10_final
2019-04-16 09:42:52	ga_ls8c_ard_3-1-0_094080_2019-04-16_final
2019-04-16 09:43:16	ga_ls8c_ard_3-1-0_094081_2019-04-16_final
2019-04-16 09:43:40	ga_ls8c_ard_3-1-0_094082_2019-04-16_final
2019-04-16 09:44:04	ga_ls8c_ard_3-1-0_094083_2019-04-16_final
2019-04-16 09:44:28	ga_ls8c_ard_3-1-0_094084_2019-04-16_final
2019-04-16 09:44:52	ga_ls8c_ard_3-1-0_094085_2019-04-16_final
2019-04-18 09:33:17	ga_ls8c_ard_3-1-0_092087_2019-04-18_final
2019-04-18 09:33:41	ga_ls8c_ard_3-1-0_092088_2019-04-18_final
2019-04-18 09:34:05	ga_ls8c_ard_3-1-0_092089_2019-04-18_final
2019-04-18 09:34:29	ga_ls8c_ard_3-1-0_092090_2019-04-18_final
2019-06-14 09:28:41	ga_ls8c_ard_3-1-0_091090_2019-06-13_final
2019-06-14 09:29:05	ga_ls8c_ard_3-1-0_091091_2019-06-13_final
2019-06-15 10:02:46	ga_ls8c_ard_3-1-0_098067_2019-06-15_final
2019-06-17 09:52:01	ga_ls8c_ard_3-1-0_096071_2019-06-17_final
2019-06-17 09:52:25	ga_ls8c_ard_3-1-0_096072_2019-06-17_final
2019-06-17 09:52:49	ga_ls8c_ard_3-1-0_096073_2019-06-17_final
2019-06-17 09:53:13	ga_ls8c_ard_3-1-0_096074_2019-06-17_final
2019-06-17 09:53:37	ga_ls8c_ard_3-1-0_096075_2019-06-17_final
2019-06-17 09:54:01	ga_ls8c_ard_3-1-0_096076_2019-06-17_final
2019-07-26 09:56:47	ga_ls8c_ard_3-1-0_097067_2019-07-26_final
2019-07-26 09:57:11	ga_ls8c_ard_3-1-0_097068_2019-07-26_final
2019-07-26 09:57:35	ga_ls8c_ard_3-1-0_097069_2019-07-26_final
2019-07-26 09:57:58	ga_ls8c_ard_3-1-0_097070_2019-07-26_final
2019-07-26 09:58:22	ga_ls8c_ard_3-1-0_097071_2019-07-26_final
2019-07-26 09:58:46	ga_ls8c_ard_3-1-0_097072_2019-07-26_final
2019-07-28 09:47:37	ga_ls8c_ard_3-1-0_095075_2019-07-28_final
2019-07-28 09:48:01	ga_ls8c_ard_3-1-0_095076_2019-07-28_final
2019-07-28 09:48:25	ga_ls8c_ard_3-1-0_095077_2019-07-28_final
2019-07-28 09:48:49	ga_ls8c_ard_3-1-0_095078_2019-07-28_final
2019-07-28 09:49:13	ga_ls8c_ard_3-1-0_095079_2019-07-28_final
2019-07-28 09:49:37	ga_ls8c_ard_3-1-0_095080_2019-07-28_final
2019-07-28 09:50:01	ga_ls8c_ard_3-1-0_095081_2019-07-28_final
2019-09-14 09:47:52	ga_ls8c_ard_3-1-0_095075_2019-09-14_final
2019-09-14 09:48:16	ga_ls8c_ard_3-1-0_095076_2019-09-14_final
2019-09-14 09:48:40	ga_ls8c_ard_3-1-0_095077_2019-09-14_final
2019-09-14 09:49:04	ga_ls8c_ard_3-1-0_095078_2019-09-14_final
2019-09-14 09:49:28	ga_ls8c_ard_3-1-0_095079_2019-09-14_final
2019-09-14 09:49:52	ga_ls8c_ard_3-1-0_095080_2019-09-14_final
2019-09-14 09:50:16	ga_ls8c_ard_3-1-0_095081_2019-09-14_final
2019-09-23 09:43:44	ga_ls8c_ard_3-1-0_094080_2019-09-23_final
2019-09-23 09:44:08	ga_ls8c_ard_3-1-0_094081_2019-09-23_final
2019-09-23 09:44:32	ga_ls8c_ard_3-1-0_094082_2019-09-23_final
2019-09-23 09:44:56	ga_ls8c_ard_3-1-0_094083_2019-09-23_final
2019-09-23 09:45:20	ga_ls8c_ard_3-1-0_094084_2019-09-23_final
2019-09-23 09:45:44	ga_ls8c_ard_3-1-0_094085_2019-09-23_final
2019-09-25 09:34:11	ga_ls8c_ard_3-1-0_092087_2019-09-25_final
2019-09-25 09:34:35	ga_ls8c_ard_3-1-0_092088_2019-09-25_final
2019-09-25 09:34:59	ga_ls8c_ard_3-1-0_092089_2019-09-25_final
2019-09-25 09:35:23	ga_ls8c_ard_3-1-0_092090_2019-09-25_final
2019-10-27 09:34:15	ga_ls8c_ard_3-1-0_092087_2019-10-27_final
2019-10-27 09:34:39	ga_ls8c_ard_3-1-0_092088_2019-10-27_final
2019-10-27 09:35:03	ga_ls8c_ard_3-1-0_092089_2019-10-27_final
2019-10-27 09:35:27	ga_ls8c_ard_3-1-0_092090_2019-10-27_final
2019-11-10 09:43:47	ga_ls8c_ard_3-1-0_094080_2019-11-10_final
2019-11-10 09:44:11	ga_ls8c_ard_3-1-0_094081_2019-11-10_final
2019-11-10 09:44:35	ga_ls8c_ard_3-1-0_094082_2019-11-10_final
2019-11-10 09:44:59	ga_ls8c_ard_3-1-0_094083_2019-11-10_final
2019-11-10 09:45:23	ga_ls8c_ard_3-1-0_094084_2019-11-10_final
2019-11-10 09:45:47	ga_ls8c_ard_3-1-0_094085_2019-11-10_final
2019-11-12 09:34:13	ga_ls8c_ard_3-1-0_092087_2019-11-12_final
2019-11-12 09:34:36	ga_ls8c_ard_3-1-0_092088_2019-11-12_final
2019-11-12 09:35:00	ga_ls8c_ard_3-1-0_092089_2019-11-12_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