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
2013-11-29 12:32:54	ga_ls8c_ard_3-2-1_122067_2013-11-29_final
2014-11-16 12:31:29	ga_ls8c_ard_3-2-1_122067_2014-11-16_final
2015-12-28 12:37:35	ga_ls8c_ard_3-2-1_123067_2015-12-28_final
2017-11-23 10:08:56	ga_ls8c_ard_3-2-1_099066_2017-11-23_final
2021-12-11 08:42:46	ga_ls8c_ard_3-2-1_084082_2021-12-10_final
2023-02-16 08:42:40	ga_ls8c_ard_3-2-1_084082_2023-02-15_final
2023-09-21 10:08:48	ga_ls8c_ard_3-2-1_099066_2023-09-21_final
2024-03-12 11:20:33	ga_ls8c_ard_3-2-1_110076_2024-03-12_final
2024-03-13 10:23:44	ga_ls8c_ard_3-2-1_101073_2024-03-13_final
2024-03-13 10:26:55	ga_ls8c_ard_3-2-1_101081_2024-03-13_final
2024-03-14 11:07:23	ga_ls8c_ard_3-2-1_108074_2024-03-14_final
2024-03-15 10:12:09	ga_ls8c_ard_3-2-1_099075_2024-03-15_final
2024-03-15 10:14:09	ga_ls8c_ard_3-2-1_099080_2024-03-15_final
2024-03-16 09:19:19	ga_ls8c_ard_3-2-1_090082_2024-03-15_final
2024-03-16 09:20:06	ga_ls8c_ard_3-2-1_090084_2024-03-15_final
2024-03-16 10:55:00	ga_ls8c_ard_3-2-1_106074_2024-03-16_final
2024-03-18 10:40:37	ga_ls8c_ard_3-2-1_104069_2024-03-18_final
2024-03-20 10:32:13	ga_ls8c_ard_3-2-1_102079_2024-03-20_final
2024-03-21 09:35:23	ga_ls8c_ard_3-2-1_093076_2024-03-21_final
2024-03-21 09:38:11	ga_ls8c_ard_3-2-1_093083_2024-03-21_final
2024-03-21 11:13:28	ga_ls8c_ard_3-2-1_109074_2024-03-21_final
2024-03-21 11:13:52	ga_ls8c_ard_3-2-1_109075_2024-03-21_final
2024-03-22 10:21:50	ga_ls8c_ard_3-2-1_100084_2024-03-22_final
2024-03-23 09:25:47	ga_ls8c_ard_3-2-1_091083_2024-03-22_final
2024-03-23 11:05:04	ga_ls8c_ard_3-2-1_107084_2024-03-23_final
2024-03-24 10:08:13	ga_ls8c_ard_3-2-1_098081_2024-03-24_final
2024-03-24 10:09:01	ga_ls8c_ard_3-2-1_098083_2024-03-24_final
2024-03-24 10:09:49	ga_ls8c_ard_3-2-1_098085_2024-03-24_final
2024-03-24 11:46:19	ga_ls8c_ard_3-2-1_114079_2024-03-24_final
2024-03-26 09:56:36	ga_ls8c_ard_3-2-1_096083_2024-03-26_final
2024-03-26 11:31:54	ga_ls8c_ard_3-2-1_112074_2024-03-26_final
2024-03-26 11:34:41	ga_ls8c_ard_3-2-1_112081_2024-03-26_final
2024-03-27 10:39:26	ga_ls8c_ard_3-2-1_103082_2024-03-27_final
2024-03-28 09:45:48	ga_ls8c_ard_3-2-1_094087_2024-03-28_final
2024-03-28 11:23:05	ga_ls8c_ard_3-2-1_110083_2024-03-28_final
2024-03-29 10:23:29	ga_ls8c_ard_3-2-1_101073_2024-03-29_final
2024-03-29 10:25:28	ga_ls8c_ard_3-2-1_101078_2024-03-29_final
2024-03-30 09:33:03	ga_ls8c_ard_3-2-1_092086_2024-03-30_final
2024-03-30 11:06:21	ga_ls8c_ard_3-2-1_108072_2024-03-30_final
2024-04-01 10:56:23	ga_ls8c_ard_3-2-1_106078_2024-04-01_final
2024-04-02 09:58:46	ga_ls8c_ard_3-2-1_097073_2024-04-02_final
2024-04-03 10:42:26	ga_ls8c_ard_3-2-1_104074_2024-04-03_final
2024-04-05 10:31:16	ga_ls8c_ard_3-2-1_102077_2024-04-05_final
2024-04-05 10:32:04	ga_ls8c_ard_3-2-1_102079_2024-04-05_final
2024-04-06 11:11:20	ga_ls8c_ard_3-2-1_109069_2024-04-06_final
2024-04-08 09:24:05	ga_ls8c_ard_3-2-1_091079_2024-04-07_final
2024-04-08 09:24:52	ga_ls8c_ard_3-2-1_091081_2024-04-07_final
2024-04-08 10:59:46	ga_ls8c_ard_3-2-1_107071_2024-04-08_final
2024-04-08 11:01:46	ga_ls8c_ard_3-2-1_107076_2024-04-08_final
2024-04-08 11:02:57	ga_ls8c_ard_3-2-1_107079_2024-04-08_final
2024-04-10 10:47:48	ga_ls8c_ard_3-2-1_105072_2024-04-10_final
2024-04-12 10:38:36	ga_ls8c_ard_3-2-1_103080_2024-04-12_final
2024-04-13 09:44:58	ga_ls8c_ard_3-2-1_094085_2024-04-13_final
2024-04-13 11:23:03	ga_ls8c_ard_3-2-1_110083_2024-04-13_final
2024-04-15 11:05:05	ga_ls8c_ard_3-2-1_108069_2024-04-15_final
2024-04-16 10:10:15	ga_ls8c_ard_3-2-1_099071_2024-04-16_final
2024-04-17 09:20:36	ga_ls8c_ard_3-2-1_090086_2024-04-16_final
2024-04-17 10:53:29	ga_ls8c_ard_3-2-1_106071_2024-04-17_final
2024-04-17 10:54:17	ga_ls8c_ard_3-2-1_106073_2024-04-17_final
2024-04-18 10:01:02	ga_ls8c_ard_3-2-1_097079_2024-04-18_final
2024-04-18 10:02:38	ga_ls8c_ard_3-2-1_097083_2024-04-18_final
2024-04-18 11:37:56	ga_ls8c_ard_3-2-1_113074_2024-04-18_final
2024-04-18 11:39:07	ga_ls8c_ard_3-2-1_113077_2024-04-18_final
2024-04-20 09:46:40	ga_ls8c_ard_3-2-1_095074_2024-04-20_final
2024-04-20 09:47:04	ga_ls8c_ard_3-2-1_095075_2024-04-20_final
2024-04-20 09:50:15	ga_ls8c_ard_3-2-1_095083_2024-04-20_final
2024-04-22 09:35:06	ga_ls8c_ard_3-2-1_093076_2024-04-22_final
2024-04-22 09:35:30	ga_ls8c_ard_3-2-1_093077_2024-04-22_final
2024-04-22 09:39:30	ga_ls8c_ard_3-2-1_093087_2024-04-22_final
2024-04-24 09:26:20	ga_ls8c_ard_3-2-1_091085_2024-04-23_final
2024-04-24 09:26:44	ga_ls8c_ard_3-2-1_091086_2024-04-23_final
2024-04-24 11:01:37	ga_ls8c_ard_3-2-1_107076_2024-04-24_final
2024-04-25 10:02:48	ga_ls8c_ard_3-2-1_098068_2024-04-25_final
2024-04-27 09:56:00	ga_ls8c_ard_3-2-1_096082_2024-04-27_final
2024-04-29 09:40:48	ga_ls8c_ard_3-2-1_094075_2024-04-29_final
2024-05-01 09:29:12	ga_ls8c_ard_3-2-1_092077_2024-04-30_final
2024-05-01 09:32:48	ga_ls8c_ard_3-2-1_092086_2024-05-01_final
2024-05-01 11:04:54	ga_ls8c_ard_3-2-1_108069_2024-05-01_final
2024-05-03 09:20:25	ga_ls8c_ard_3-2-1_090086_2024-05-02_final
2024-05-03 10:52:31	ga_ls8c_ard_3-2-1_106069_2024-05-03_final
2024-05-03 10:53:43	ga_ls8c_ard_3-2-1_106072_2024-05-03_final
2024-05-04 11:39:22	ga_ls8c_ard_3-2-1_113078_2024-05-04_final
2024-05-07 10:32:57	ga_ls8c_ard_3-2-1_102082_2024-05-07_final
2024-05-08 09:34:32	ga_ls8c_ard_3-2-1_093075_2024-05-08_final
2024-05-08 09:35:20	ga_ls8c_ard_3-2-1_093077_2024-05-08_final
2024-05-08 09:37:43	ga_ls8c_ard_3-2-1_093083_2024-05-08_final
2024-05-08 11:11:01	ga_ls8c_ard_3-2-1_109069_2024-05-08_final
2024-05-08 11:11:25	ga_ls8c_ard_3-2-1_109070_2024-05-08_final
2024-05-08 11:16:12	ga_ls8c_ard_3-2-1_109082_2024-05-08_final
2024-05-09 10:16:35	ga_ls8c_ard_3-2-1_100072_2024-05-09_final
2024-05-10 10:59:26	ga_ls8c_ard_3-2-1_107071_2024-05-10_final
2024-05-10 11:03:25	ga_ls8c_ard_3-2-1_107081_2024-05-10_final
2024-05-12 10:46:38	ga_ls8c_ard_3-2-1_105070_2024-05-12_final
2024-05-13 09:52:11	ga_ls8c_ard_3-2-1_096073_2024-05-13_final
2024-05-13 09:52:35	ga_ls8c_ard_3-2-1_096074_2024-05-13_final
2024-05-13 09:55:46	ga_ls8c_ard_3-2-1_096082_2024-05-13_final
2024-05-13 09:56:10	ga_ls8c_ard_3-2-1_096083_2024-05-13_final
2024-05-13 11:34:39	ga_ls8c_ard_3-2-1_112082_2024-05-13_final
2024-05-15 11:22:14	ga_ls8c_ard_3-2-1_110082_2024-05-15_final
2024-05-16 10:23:00	ga_ls8c_ard_3-2-1_101073_2024-05-16_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