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
2021-12-13 10:03:18	ga_ls8c_ard_3-2-1_098067_2021-12-13_final
2021-12-13 10:07:17	ga_ls8c_ard_3-2-1_098077_2021-12-13_final
2021-12-13 10:08:29	ga_ls8c_ard_3-2-1_098080_2021-12-13_final
2021-12-13 10:08:53	ga_ls8c_ard_3-2-1_098081_2021-12-13_final
2021-12-13 10:09:41	ga_ls8c_ard_3-2-1_098083_2021-12-13_final
2021-12-13 10:10:29	ga_ls8c_ard_3-2-1_098085_2021-12-13_final
2021-12-13 11:45:23	ga_ls8c_ard_3-2-1_114075_2021-12-13_final
2021-12-13 11:46:10	ga_ls8c_ard_3-2-1_114077_2021-12-13_final
2021-12-13 11:47:22	ga_ls8c_ard_3-2-1_114080_2021-12-13_final
2021-12-13 11:47:46	ga_ls8c_ard_3-2-1_114081_2021-12-13_final
2021-12-14 09:11:40	ga_ls8c_ard_3-2-1_089077_2021-12-13_final
2021-12-14 09:12:04	ga_ls8c_ard_3-2-1_089078_2021-12-13_final
2021-12-14 09:14:28	ga_ls8c_ard_3-2-1_089084_2021-12-13_final
2021-12-14 09:16:51	ga_ls8c_ard_3-2-1_089090_2021-12-13_final
2021-12-14 10:52:33	ga_ls8c_ard_3-2-1_105082_2021-12-14_final
2021-12-15 09:54:07	ga_ls8c_ard_3-2-1_096075_2021-12-15_final
2021-12-15 09:55:43	ga_ls8c_ard_3-2-1_096079_2021-12-15_final
2021-12-15 09:56:07	ga_ls8c_ard_3-2-1_096080_2021-12-15_final
2021-12-15 09:56:55	ga_ls8c_ard_3-2-1_096082_2021-12-15_final
2021-12-15 11:34:36	ga_ls8c_ard_3-2-1_112079_2021-12-15_final
2021-12-15 11:35:24	ga_ls8c_ard_3-2-1_112081_2021-12-15_final
2021-12-16 10:34:59	ga_ls8c_ard_3-2-1_103069_2021-12-16_final
2021-12-16 10:37:47	ga_ls8c_ard_3-2-1_103076_2021-12-16_final
2021-12-16 10:38:35	ga_ls8c_ard_3-2-1_103078_2021-12-16_final
2021-12-17 09:46:09	ga_ls8c_ard_3-2-1_094086_2021-12-17_final
2021-12-18 10:24:37	ga_ls8c_ard_3-2-1_101074_2021-12-18_final
2021-12-18 10:26:13	ga_ls8c_ard_3-2-1_101078_2021-12-18_final
2021-12-19 09:28:12	ga_ls8c_ard_3-2-1_092072_2021-12-18_final
2021-12-19 09:32:11	ga_ls8c_ard_3-2-1_092082_2021-12-19_final
2021-12-19 09:32:35	ga_ls8c_ard_3-2-1_092083_2021-12-19_final
2021-12-19 09:32:59	ga_ls8c_ard_3-2-1_092084_2021-12-19_final
2021-12-19 09:33:23	ga_ls8c_ard_3-2-1_092085_2021-12-19_final
2021-12-19 09:34:35	ga_ls8c_ard_3-2-1_092088_2021-12-19_final
2021-12-19 09:35:23	ga_ls8c_ard_3-2-1_092090_2021-12-19_final
2021-12-19 11:05:53	ga_ls8c_ard_3-2-1_108069_2021-12-19_final
2021-12-19 11:07:52	ga_ls8c_ard_3-2-1_108074_2021-12-19_final
2021-12-19 11:08:16	ga_ls8c_ard_3-2-1_108075_2021-12-19_final
2021-12-19 11:08:40	ga_ls8c_ard_3-2-1_108076_2021-12-19_final
2021-12-19 11:09:04	ga_ls8c_ard_3-2-1_108077_2021-12-19_final
2021-12-19 11:09:52	ga_ls8c_ard_3-2-1_108079_2021-12-19_final
2021-12-19 11:11:04	ga_ls8c_ard_3-2-1_108082_2021-12-19_final
2021-12-19 11:11:28	ga_ls8c_ard_3-2-1_108083_2021-12-19_final
2021-12-20 10:09:27	ga_ls8c_ard_3-2-1_099067_2021-12-20_final
2021-12-20 10:09:51	ga_ls8c_ard_3-2-1_099068_2021-12-20_final
2021-12-20 11:51:08	ga_ls8c_ard_3-2-1_115074_2021-12-20_final
2021-12-20 11:51:32	ga_ls8c_ard_3-2-1_115075_2021-12-20_final
2021-12-20 11:53:32	ga_ls8c_ard_3-2-1_115080_2021-12-20_final
2021-12-21 09:18:13	ga_ls8c_ard_3-2-1_090078_2021-12-20_final
2021-12-21 09:18:37	ga_ls8c_ard_3-2-1_090079_2021-12-20_final
2021-12-21 09:19:01	ga_ls8c_ard_3-2-1_090080_2021-12-20_final
2021-12-21 09:19:25	ga_ls8c_ard_3-2-1_090081_2021-12-20_final
2021-12-21 09:19:49	ga_ls8c_ard_3-2-1_090082_2021-12-20_final
2021-12-21 09:20:13	ga_ls8c_ard_3-2-1_090083_2021-12-20_final
2021-12-21 09:20:37	ga_ls8c_ard_3-2-1_090084_2021-12-20_final
2021-12-21 10:53:31	ga_ls8c_ard_3-2-1_106069_2021-12-21_final
2021-12-21 10:53:54	ga_ls8c_ard_3-2-1_106070_2021-12-21_final
2021-12-21 10:54:18	ga_ls8c_ard_3-2-1_106071_2021-12-21_final
2021-12-21 10:54:42	ga_ls8c_ard_3-2-1_106072_2021-12-21_final
2021-12-21 10:55:06	ga_ls8c_ard_3-2-1_106073_2021-12-21_final
2021-12-21 10:55:30	ga_ls8c_ard_3-2-1_106074_2021-12-21_final
2021-12-21 10:55:54	ga_ls8c_ard_3-2-1_106075_2021-12-21_final
2021-12-22 10:00:17	ga_ls8c_ard_3-2-1_097075_2021-12-22_final
2021-12-22 10:00:40	ga_ls8c_ard_3-2-1_097076_2021-12-22_final
2021-12-22 10:01:04	ga_ls8c_ard_3-2-1_097077_2021-12-22_final
2021-12-22 10:01:28	ga_ls8c_ard_3-2-1_097078_2021-12-22_final
2021-12-22 10:01:52	ga_ls8c_ard_3-2-1_097079_2021-12-22_final
2021-12-22 10:02:16	ga_ls8c_ard_3-2-1_097080_2021-12-22_final
2021-12-22 10:02:40	ga_ls8c_ard_3-2-1_097081_2021-12-22_final
2021-12-22 11:39:10	ga_ls8c_ard_3-2-1_113075_2021-12-22_final
2021-12-22 11:42:21	ga_ls8c_ard_3-2-1_113083_2021-12-22_final
2021-12-23 10:41:32	ga_ls8c_ard_3-2-1_104070_2021-12-23_final
2021-12-23 10:41:56	ga_ls8c_ard_3-2-1_104071_2021-12-23_final
2021-12-23 10:42:20	ga_ls8c_ard_3-2-1_104072_2021-12-23_final
2021-12-23 10:42:44	ga_ls8c_ard_3-2-1_104073_2021-12-23_final
2021-12-23 10:43:08	ga_ls8c_ard_3-2-1_104074_2021-12-23_final
2021-12-23 10:43:32	ga_ls8c_ard_3-2-1_104075_2021-12-23_final
2021-12-23 10:43:56	ga_ls8c_ard_3-2-1_104076_2021-12-23_final
2021-12-23 10:44:20	ga_ls8c_ard_3-2-1_104077_2021-12-23_final
2021-12-23 10:45:32	ga_ls8c_ard_3-2-1_104080_2021-12-23_final
2021-12-23 10:46:19	ga_ls8c_ard_3-2-1_104082_2021-12-23_final
2021-12-24 09:50:42	ga_ls8c_ard_3-2-1_095082_2021-12-24_final
2021-12-24 09:51:06	ga_ls8c_ard_3-2-1_095083_2021-12-24_final
2021-12-24 09:51:30	ga_ls8c_ard_3-2-1_095084_2021-12-24_final
2021-12-24 09:51:54	ga_ls8c_ard_3-2-1_095085_2021-12-24_final
2021-12-24 09:52:18	ga_ls8c_ard_3-2-1_095086_2021-12-24_final
2021-12-24 09:52:41	ga_ls8c_ard_3-2-1_095087_2021-12-24_final
2021-12-24 11:24:24	ga_ls8c_ard_3-2-1_111069_2021-12-24_final
2021-12-24 11:28:23	ga_ls8c_ard_3-2-1_111079_2021-12-24_final
2021-12-24 11:28:47	ga_ls8c_ard_3-2-1_111080_2021-12-24_final
2021-12-24 11:29:11	ga_ls8c_ard_3-2-1_111081_2021-12-24_final
2021-12-24 11:29:35	ga_ls8c_ard_3-2-1_111082_2021-12-24_final
2021-12-25 10:28:22	ga_ls8c_ard_3-2-1_102068_2021-12-25_final
2021-12-25 10:28:46	ga_ls8c_ard_3-2-1_102069_2021-12-25_final
2021-12-25 10:29:10	ga_ls8c_ard_3-2-1_102070_2021-12-25_final
2021-12-25 10:29:34	ga_ls8c_ard_3-2-1_102071_2021-12-25_final
2021-12-25 10:32:45	ga_ls8c_ard_3-2-1_102079_2021-12-25_final
2021-12-26 09:37:07	ga_ls8c_ard_3-2-1_093079_2021-12-26_final
2021-12-26 09:38:19	ga_ls8c_ard_3-2-1_093082_2021-12-26_final
2021-12-26 11:12:49	ga_ls8c_ard_3-2-1_109071_2021-12-26_final
2021-12-26 11:16:00	ga_ls8c_ard_3-2-1_109079_2021-12-26_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years