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
2023-01-04 10:39:51	ga_ls8c_ard_3-2-1_103081_2023-01-04_final
2023-01-05 09:42:38	ga_ls8c_ard_3-2-1_094077_2023-01-05_final
2023-01-05 11:19:31	ga_ls8c_ard_3-2-1_110072_2023-01-05_final
2023-01-05 11:19:55	ga_ls8c_ard_3-2-1_110073_2023-01-05_final
2023-01-08 10:13:55	ga_ls8c_ard_3-2-1_099078_2023-01-08_final
2023-01-08 10:14:19	ga_ls8c_ard_3-2-1_099079_2023-01-08_final
2023-01-08 10:14:43	ga_ls8c_ard_3-2-1_099080_2023-01-08_final
2023-01-09 10:57:34	ga_ls8c_ard_3-2-1_106079_2023-01-09_final
2023-01-10 10:01:56	ga_ls8c_ard_3-2-1_097079_2023-01-10_final
2023-01-10 10:02:20	ga_ls8c_ard_3-2-1_097080_2023-01-10_final
2023-01-12 09:48:46	ga_ls8c_ard_3-2-1_095077_2023-01-12_final
2023-01-14 09:35:11	ga_ls8c_ard_3-2-1_093074_2023-01-14_final
2023-01-14 09:35:34	ga_ls8c_ard_3-2-1_093075_2023-01-14_final
2023-01-14 09:35:58	ga_ls8c_ard_3-2-1_093076_2023-01-14_final
2023-01-14 09:36:22	ga_ls8c_ard_3-2-1_093077_2023-01-14_final
2023-01-15 10:21:37	ga_ls8c_ard_3-2-1_100082_2023-01-15_final
2023-01-16 09:23:35	ga_ls8c_ard_3-2-1_091076_2023-01-15_final
2023-01-16 09:23:59	ga_ls8c_ard_3-2-1_091077_2023-01-15_final
2023-01-17 10:06:25	ga_ls8c_ard_3-2-1_098075_2023-01-17_final
2023-01-17 10:10:25	ga_ls8c_ard_3-2-1_098085_2023-01-17_final
2023-01-18 10:47:17	ga_ls8c_ard_3-2-1_105069_2023-01-18_final
2023-01-19 09:52:29	ga_ls8c_ard_3-2-1_096071_2023-01-19_final
2023-01-29 10:30:51	ga_ls8c_ard_3-2-1_102074_2023-01-29_final
2023-01-29 10:33:14	ga_ls8c_ard_3-2-1_102080_2023-01-29_final
2023-01-29 10:33:38	ga_ls8c_ard_3-2-1_102081_2023-01-29_final
2023-01-30 09:38:01	ga_ls8c_ard_3-2-1_093081_2023-01-30_final
2023-02-08 11:08:42	ga_ls8c_ard_3-2-1_108076_2023-02-08_final
2023-02-10 10:53:07	ga_ls8c_ard_3-2-1_106068_2023-02-10_final
2023-02-10 10:57:31	ga_ls8c_ard_3-2-1_106079_2023-02-10_final
2023-02-11 09:57:29	ga_ls8c_ard_3-2-1_097068_2023-02-11_final
2023-02-11 09:57:53	ga_ls8c_ard_3-2-1_097069_2023-02-11_final
2023-02-11 09:58:17	ga_ls8c_ard_3-2-1_097070_2023-02-11_final
2023-02-12 10:40:44	ga_ls8c_ard_3-2-1_104068_2023-02-12_final
2023-02-12 10:41:08	ga_ls8c_ard_3-2-1_104069_2023-02-12_final
2023-02-12 10:41:32	ga_ls8c_ard_3-2-1_104070_2023-02-12_final
2023-02-12 10:41:56	ga_ls8c_ard_3-2-1_104071_2023-02-12_final
2023-02-12 10:45:55	ga_ls8c_ard_3-2-1_104081_2023-02-12_final
2023-02-13 11:23:59	ga_ls8c_ard_3-2-1_111068_2023-02-13_final
2023-02-13 11:24:23	ga_ls8c_ard_3-2-1_111069_2023-02-13_final
2023-02-13 11:24:47	ga_ls8c_ard_3-2-1_111070_2023-02-13_final
2023-02-14 10:28:45	ga_ls8c_ard_3-2-1_102069_2023-02-14_final
2023-02-14 10:29:09	ga_ls8c_ard_3-2-1_102070_2023-02-14_final
2023-02-16 10:17:09	ga_ls8c_ard_3-2-1_100071_2023-02-16_final
2023-02-16 10:17:33	ga_ls8c_ard_3-2-1_100072_2023-02-16_final
2023-02-18 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-02-18_final
2023-02-18 10:06:21	ga_ls8c_ard_3-2-1_098075_2023-02-18_final
2023-02-19 10:51:12	ga_ls8c_ard_3-2-1_105079_2023-02-19_final
2023-02-21 10:39:35	ga_ls8c_ard_3-2-1_103081_2023-02-21_final
2023-02-24 11:05:37	ga_ls8c_ard_3-2-1_108069_2023-02-24_final
2023-02-26 10:53:39	ga_ls8c_ard_3-2-1_106070_2023-02-26_final
2023-02-26 10:54:26	ga_ls8c_ard_3-2-1_106072_2023-02-26_final
2023-02-26 10:57:14	ga_ls8c_ard_3-2-1_106079_2023-02-26_final
2023-02-27 09:58:49	ga_ls8c_ard_3-2-1_097072_2023-02-27_final
2023-02-27 09:59:13	ga_ls8c_ard_3-2-1_097073_2023-02-27_final
2023-02-27 09:59:37	ga_ls8c_ard_3-2-1_097074_2023-02-27_final
2023-02-28 10:42:53	ga_ls8c_ard_3-2-1_104074_2023-02-28_final
2023-03-02 10:30:31	ga_ls8c_ard_3-2-1_102074_2023-03-02_final
2023-03-02 10:30:55	ga_ls8c_ard_3-2-1_102075_2023-03-02_final
2023-03-04 10:18:08	ga_ls8c_ard_3-2-1_100074_2023-03-04_final
2023-03-04 10:19:20	ga_ls8c_ard_3-2-1_100077_2023-03-04_final
2023-03-05 11:02:11	ga_ls8c_ard_3-2-1_107076_2023-03-05_final
2023-03-05 11:02:35	ga_ls8c_ard_3-2-1_107077_2023-03-05_final
2023-03-07 10:47:01	ga_ls8c_ard_3-2-1_105069_2023-03-07_final
2023-03-07 10:51:00	ga_ls8c_ard_3-2-1_105079_2023-03-07_final
2023-03-08 09:54:10	ga_ls8c_ard_3-2-1_096076_2023-03-08_final
2023-03-08 09:54:34	ga_ls8c_ard_3-2-1_096077_2023-03-08_final
2023-03-10 09:42:12	ga_ls8c_ard_3-2-1_094077_2023-03-10_final
2023-03-14 10:57:57	ga_ls8c_ard_3-2-1_106081_2023-03-14_final
2023-03-16 10:45:34	ga_ls8c_ard_3-2-1_104081_2023-03-16_final
2023-03-20 10:19:12	ga_ls8c_ard_3-2-1_100077_2023-03-20_final
2023-03-23 10:50:50	ga_ls8c_ard_3-2-1_105079_2023-03-23_final
2023-03-24 11:34:30	ga_ls8c_ard_3-2-1_112080_2023-03-24_final
2023-03-25 10:39:16	ga_ls8c_ard_3-2-1_103081_2023-03-25_final
2023-03-26 09:45:38	ga_ls8c_ard_3-2-1_094086_2023-03-26_final
2023-03-26 09:46:02	ga_ls8c_ard_3-2-1_094087_2023-03-26_final
2023-03-28 09:31:16	ga_ls8c_ard_3-2-1_092081_2023-03-28_final
2023-03-28 09:31:40	ga_ls8c_ard_3-2-1_092082_2023-03-28_final
2023-03-30 09:21:41	ga_ls8c_ard_3-2-1_090088_2023-03-29_final
2023-03-30 09:22:05	ga_ls8c_ard_3-2-1_090089_2023-03-29_final
2023-03-30 10:56:59	ga_ls8c_ard_3-2-1_106079_2023-03-30_final
2023-03-30 10:57:23	ga_ls8c_ard_3-2-1_106080_2023-03-30_final
2023-03-30 10:57:47	ga_ls8c_ard_3-2-1_106081_2023-03-30_final
2023-03-30 10:58:11	ga_ls8c_ard_3-2-1_106082_2023-03-30_final
2023-03-31 10:02:33	ga_ls8c_ard_3-2-1_097082_2023-03-31_final
2023-04-05 10:20:36	ga_ls8c_ard_3-2-1_100081_2023-04-05_final
2023-04-05 10:21:00	ga_ls8c_ard_3-2-1_100082_2023-04-05_final
2023-04-11 11:17:52	ga_ls8c_ard_3-2-1_110070_2023-04-11_final
2023-04-11 11:18:16	ga_ls8c_ard_3-2-1_110071_2023-04-11_final
2023-04-11 11:18:40	ga_ls8c_ard_3-2-1_110072_2023-04-11_final
2023-04-11 11:19:04	ga_ls8c_ard_3-2-1_110073_2023-04-11_final
2023-04-11 11:19:28	ga_ls8c_ard_3-2-1_110074_2023-04-11_final
2023-04-14 10:15:04	ga_ls8c_ard_3-2-1_099083_2023-04-14_final
2023-04-16 09:59:30	ga_ls8c_ard_3-2-1_097075_2023-04-16_final
2023-04-29 09:29:45	ga_ls8c_ard_3-2-1_092078_2023-04-28_final
2023-04-29 09:30:57	ga_ls8c_ard_3-2-1_092081_2023-04-29_final
2023-04-29 09:31:21	ga_ls8c_ard_3-2-1_092082_2023-04-29_final
2023-04-29 09:31:45	ga_ls8c_ard_3-2-1_092083_2023-04-29_final
2023-05-01 10:55:51	ga_ls8c_ard_3-2-1_106077_2023-05-01_final
2023-05-01 10:56:15	ga_ls8c_ard_3-2-1_106078_2023-05-01_final
2023-05-01 10:56:39	ga_ls8c_ard_3-2-1_106079_2023-05-01_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