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
2019-12-13 10:25:47	ga_ls8c_ard_3-2-0_101077_2019-12-13_final
2020-12-18 10:57:07	ga_ls8c_ard_3-2-0_106078_2020-12-18_final
2020-12-27 09:16:49	ga_ls8c_ard_3-2-0_089090_2020-12-26_final
2020-12-28 11:36:10	ga_ls8c_ard_3-2-0_112083_2020-12-28_final
2021-01-15 11:22:28	ga_ls8c_ard_3-2-0_110080_2021-01-15_final
2021-02-04 09:17:37	ga_ls8c_ard_3-2-0_090077_2021-02-03_final
2021-02-05 11:42:09	ga_ls8c_ard_3-2-0_113083_2021-02-05_final
2021-02-12 10:07:02	ga_ls8c_ard_3-2-0_098077_2021-02-12_final
2021-02-12 10:10:13	ga_ls8c_ard_3-2-0_098085_2021-02-12_final
2021-02-20 09:22:44	ga_ls8c_ard_3-2-0_090090_2021-02-19_final
2021-02-21 11:42:05	ga_ls8c_ard_3-2-0_113083_2021-02-21_final
2021-02-25 09:35:39	ga_ls8c_ard_3-2-0_093076_2021-02-25_final
2021-02-28 10:09:44	ga_ls8c_ard_3-2-0_098084_2021-02-28_final
2021-03-06 11:05:53	ga_ls8c_ard_3-2-0_108070_2021-03-06_final
2021-03-25 10:03:45	ga_ls8c_ard_3-2-0_097085_2021-03-25_final
2021-04-02 10:52:22	ga_ls8c_ard_3-2-0_105083_2021-04-02_final
2021-04-03 11:35:37	ga_ls8c_ard_3-2-0_112083_2021-04-03_final
2021-04-06 10:26:49	ga_ls8c_ard_3-2-0_101081_2021-04-06_final
2021-04-11 10:45:20	ga_ls8c_ard_3-2-0_104081_2021-04-11_final
2021-04-15 10:20:11	ga_ls8c_ard_3-2-0_100080_2021-04-15_final
2021-04-17 10:09:01	ga_ls8c_ard_3-2-0_098083_2021-04-17_final
2021-04-19 11:35:31	ga_ls8c_ard_3-2-0_112083_2021-04-19_final
2021-05-21 11:30:19	ga_ls8c_ard_3-2-0_112070_2021-05-21_final
2021-05-26 10:09:13	ga_ls8c_ard_3-2-0_099068_2021-05-26_final
2021-06-08 11:18:06	ga_ls8c_ard_3-2-0_110070_2021-06-08_final
2021-06-15 11:24:43	ga_ls8c_ard_3-2-0_111071_2021-06-15_final
2021-06-19 09:28:19	ga_ls8c_ard_3-2-0_091089_2021-06-18_final
2021-06-20 10:03:12	ga_ls8c_ard_3-2-0_098068_2021-06-20_final
2021-06-21 10:50:52	ga_ls8c_ard_3-2-0_105079_2021-06-21_final
2021-06-24 11:18:11	ga_ls8c_ard_3-2-0_110070_2021-06-24_final
2021-06-26 09:30:56	ga_ls8c_ard_3-2-0_092080_2021-06-26_final
2021-07-07 09:16:01	ga_ls8c_ard_3-2-0_089089_2021-07-06_final
2021-07-14 09:19:00	ga_ls8c_ard_3-2-0_090081_2021-07-13_final
2021-07-18 10:32:47	ga_ls8c_ard_3-2-0_102080_2021-07-18_final
2021-07-19 09:39:58	ga_ls8c_ard_3-2-0_093087_2021-07-19_final
2021-07-29 10:13:57	ga_ls8c_ard_3-2-0_099079_2021-07-29_final
2021-08-04 09:34:31	ga_ls8c_ard_3-2-0_093073_2021-08-04_final
2021-08-11 11:18:26	ga_ls8c_ard_3-2-0_110070_2021-08-11_final
2021-09-07 09:23:32	ga_ls8c_ard_3-2-0_091076_2021-09-06_final
2021-09-23 09:21:59	ga_ls8c_ard_3-2-0_091072_2021-09-22_final
2021-09-23 09:22:23	ga_ls8c_ard_3-2-0_091073_2021-09-22_final
2021-09-23 11:02:28	ga_ls8c_ard_3-2-0_107076_2021-09-23_final
2021-10-03 11:41:13	ga_ls8c_ard_3-2-0_113080_2021-10-03_final
2021-10-04 10:42:48	ga_ls8c_ard_3-2-0_104073_2021-10-04_final
2021-10-09 11:00:10	ga_ls8c_ard_3-2-0_107070_2021-10-09_final
2021-10-14 11:18:44	ga_ls8c_ard_3-2-0_110070_2021-10-14_final
2021-11-10 11:00:09	ga_ls8c_ard_3-2-0_107070_2021-11-10_final
2021-11-24 11:12:05	ga_ls8c_ard_3-2-0_109069_2021-11-24_final
2021-11-30 10:36:12	ga_ls8c_ard_3-2-0_103072_2021-11-30_final
2021-11-30 10:39:48	ga_ls8c_ard_3-2-0_103081_2021-11-30_final
2021-12-19 11:08:16	ga_ls8c_ard_3-2-1_108075_2021-12-19_final
2022-01-18 09:46:25	ga_ls8c_ard_3-2-1_094087_2022-01-18_final
2022-01-19 10:24:05	ga_ls8c_ard_3-2-1_101073_2022-01-19_final
2022-01-25 09:52:33	ga_ls8c_ard_3-2-1_095087_2022-01-25_final
2022-01-26 10:29:01	ga_ls8c_ard_3-2-1_102070_2022-01-26_final
2022-01-28 10:21:02	ga_ls8c_ard_3-2-1_100081_2022-01-28_final
2022-01-31 10:51:32	ga_ls8c_ard_3-2-1_105080_2022-01-31_final
2022-02-01 11:36:00	ga_ls8c_ard_3-2-1_112083_2022-02-01_final
2022-02-03 09:45:57	ga_ls8c_ard_3-2-1_094086_2022-02-03_final
2022-02-10 11:25:48	ga_ls8c_ard_3-2-1_111073_2022-02-10_final
2022-02-22 10:09:09	ga_ls8c_ard_3-2-1_099067_2022-02-22_final
2022-03-04 10:49:01	ga_ls8c_ard_3-2-1_105074_2022-03-04_final
2022-03-12 11:42:00	ga_ls8c_ard_3-2-1_113083_2022-03-12_final
2022-03-18 11:04:51	ga_ls8c_ard_3-2-1_107083_2022-03-18_final
2022-04-04 10:04:18	ga_ls8c_ard_3-2-1_098071_2022-04-04_final
2022-04-21 10:48:01	ga_ls8c_ard_3-2-1_105072_2022-04-21_final
2022-05-08 11:35:44	ga_ls8c_ard_3-2-1_112083_2022-05-08_final
2022-05-10 11:18:36	ga_ls8c_ard_3-2-1_110071_2022-05-10_final
2022-05-13 11:51:07	ga_ls8c_ard_3-2-1_115075_2022-05-13_final
2022-05-14 09:20:13	ga_ls8c_ard_3-2-1_090084_2022-05-13_final
2022-05-21 09:26:01	ga_ls8c_ard_3-2-1_091083_2022-05-20_final
2022-05-29 10:15:51	ga_ls8c_ard_3-2-1_099084_2022-05-29_final
2022-05-30 10:52:45	ga_ls8c_ard_3-2-1_106068_2022-05-30_final
2022-07-16 10:13:44	ga_ls8c_ard_3-2-1_099078_2022-07-16_final
2022-07-24 09:26:48	ga_ls8c_ard_3-2-1_091084_2022-07-23_final
2022-08-07 09:34:55	ga_ls8c_ard_3-2-1_093073_2022-08-07_final
2022-08-25 11:01:30	ga_ls8c_ard_3-2-1_107073_2022-08-25_final
2022-08-25 11:01:54	ga_ls8c_ard_3-2-1_107074_2022-08-25_final
2022-09-01 11:08:28	ga_ls8c_ard_3-2-1_108075_2022-09-01_final
2022-09-06 09:51:45	ga_ls8c_ard_3-2-1_095084_2022-09-06_final
2022-09-06 09:52:57	ga_ls8c_ard_3-2-1_095087_2022-09-06_final
2022-09-26 11:00:25	ga_ls8c_ard_3-2-1_107070_2022-09-26_final
2022-09-29 09:53:38	ga_ls8c_ard_3-2-1_096073_2022-09-29_final
2022-10-28 11:02:24	ga_ls8c_ard_3-2-1_107075_2022-10-28_final
2022-11-02 09:46:03	ga_ls8c_ard_3-2-1_094085_2022-11-02_final
2022-11-13 09:28:15	ga_ls8c_ard_3-2-1_091087_2022-11-12_final
2022-11-15 10:52:45	ga_ls8c_ard_3-2-1_105082_2022-11-15_final
2022-11-21 10:11:39	ga_ls8c_ard_3-2-1_099072_2022-11-21_final
2022-11-21 11:52:56	ga_ls8c_ard_3-2-1_115078_2022-11-21_final
2022-11-29 09:22:39	ga_ls8c_ard_3-2-1_091073_2022-11-28_final
2022-12-10 10:42:57	ga_ls8c_ard_3-2-1_104073_2022-12-10_final
2023-01-01 10:10:33	ga_ls8c_ard_3-2-1_098085_2023-01-01_final
2023-01-03 11:36:16	ga_ls8c_ard_3-2-1_112083_2023-01-03_final
2023-01-05 09:44:38	ga_ls8c_ard_3-2-1_094082_2023-01-05_final
2023-01-06 10:24:18	ga_ls8c_ard_3-2-1_101073_2023-01-06_final
2023-01-23 11:07:29	ga_ls8c_ard_3-2-1_108073_2023-01-23_final
2023-01-26 09:58:20	ga_ls8c_ard_3-2-1_097070_2023-01-26_final
2023-01-29 10:28:51	ga_ls8c_ard_3-2-1_102069_2023-01-29_final
2023-01-31 10:17:17	ga_ls8c_ard_3-2-1_100071_2023-01-31_final
2023-02-10 10:57:55	ga_ls8c_ard_3-2-1_106080_2023-02-10_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