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
2019-03-08 09:38:52	ga_ls8c_ard_3-1-0_093085_2019-03-08_final
2019-03-10 09:22:30	ga_ls8c_ard_3-1-0_091075_2019-03-09_final
2019-03-16 10:26:40	ga_ls8c_ard_3-1-0_101081_2019-03-16_final
2019-04-12 10:03:38	ga_ls8c_ard_3-1-0_098070_2019-04-12_final
2019-04-13 09:15:59	ga_ls8c_ard_3-1-0_089090_2019-04-12_final
2019-04-14 09:56:51	ga_ls8c_ard_3-1-0_096084_2019-04-14_final
2019-06-13 10:21:54	ga_ls8c_ard_3-1-0_100084_2019-06-13_final
2019-06-23 09:20:33	ga_ls8c_ard_3-1-0_090085_2019-06-22_final
2019-06-24 11:41:55	ga_ls8c_ard_3-1-0_113083_2019-06-24_final
2019-06-26 11:24:22	ga_ls8c_ard_3-1-0_111070_2019-06-26_final
2019-06-28 09:39:55	ga_ls8c_ard_3-1-0_093087_2019-06-28_final
2019-06-30 09:22:47	ga_ls8c_ard_3-1-0_091075_2019-06-29_final
2019-07-14 09:34:23	ga_ls8c_ard_3-1-0_093073_2019-07-14_final
2019-07-16 09:28:01	ga_ls8c_ard_3-1-0_091088_2019-07-15_final
2019-07-28 09:44:26	ga_ls8c_ard_3-1-0_095067_2019-07-28_final
2019-07-30 11:14:34	ga_ls8c_ard_3-1-0_109076_2019-07-30_final
2019-08-04 11:35:56	ga_ls8c_ard_3-1-0_112083_2019-08-04_final
2019-08-13 11:29:00	ga_ls8c_ard_3-1-0_111081_2019-08-13_final
2019-08-29 09:44:36	ga_ls8c_ard_3-1-0_095067_2019-08-29_final
2019-09-11 09:22:32	ga_ls8c_ard_3-1-0_090089_2019-09-10_final
2019-09-30 11:24:50	ga_ls8c_ard_3-1-0_111070_2019-09-30_final
2019-10-02 11:15:17	ga_ls8c_ard_3-1-0_109077_2019-10-02_final
2019-10-06 09:11:41	ga_ls8c_ard_3-1-0_089077_2019-10-05_final
2019-10-14 11:42:26	ga_ls8c_ard_3-1-0_113083_2019-10-14_final
2019-11-05 11:01:45	ga_ls8c_ard_3-1-0_107074_2019-11-05_final
2019-11-10 11:17:29	ga_ls8c_ard_3-1-0_110067_2019-11-10_final
2019-11-13 10:14:16	ga_ls8c_ard_3-1-0_099079_2019-11-13_final
2019-11-14 09:17:51	ga_ls8c_ard_3-1-0_090077_2019-11-13_final
2019-11-20 10:17:38	ga_ls8c_ard_3-1-0_100072_2019-11-20_final
2019-11-29 10:09:51	ga_ls8c_ard_3-1-0_099068_2019-11-29_final
2019-12-12 09:40:56	ga_ls8c_ard_3-1-0_094073_2019-12-12_final
2019-12-28 11:17:21	ga_ls8c_ard_3-1-0_110067_2019-12-28_final
2020-01-01 09:22:06	ga_ls8c_ard_3-1-0_090088_2019-12-31_final
2020-01-13 09:40:48	ga_ls8c_ard_3-1-0_094073_2020-01-13_final
2020-02-09 09:22:32	ga_ls8c_ard_3-1-0_091074_2020-02-08_final
2020-02-18 09:17:55	ga_ls8c_ard_3-1-0_090078_2020-02-17_final
2020-04-04 09:31:31	ga_ls8c_ard_3-1-0_092082_2020-04-04_final
2020-04-14 10:02:57	ga_ls8c_ard_3-1-0_098068_2020-04-14_final
2020-04-18 11:17:29	ga_ls8c_ard_3-1-0_110069_2020-04-18_final
2020-04-29 09:28:21	ga_ls8c_ard_3-1-0_091090_2020-04-28_final
2020-05-27 09:51:27	ga_ls8c_ard_3-1-0_095086_2020-05-27_final
2020-05-30 10:20:46	ga_ls8c_ard_3-1-0_100082_2020-05-30_final
2020-05-31 09:26:45	ga_ls8c_ard_3-1-0_091086_2020-05-30_final
2020-07-25 09:33:22	ga_ls8c_ard_3-1-0_092086_2020-07-25_final
2020-08-06 09:51:21	ga_ls8c_ard_3-1-0_096069_2020-08-06_final
2021-03-29 09:31:50	ga_ls8c_ard_3-2-0_093067_2021-03-29_final
2021-04-25 09:22:18	ga_ls8c_ard_3-2-0_090090_2021-04-24_final
2021-04-28 11:23:16	ga_ls8c_ard_3-2-0_111068_2021-04-28_final
2021-06-15 09:44:15	ga_ls8c_ard_3-2-0_095067_2021-06-15_final
2021-07-16 09:07:27	ga_ls8c_ard_3-2-0_088083_2021-07-15_final
2021-07-21 09:27:14	ga_ls8c_ard_3-2-0_091086_2021-07-20_final
2021-08-25 09:51:58	ga_ls8c_ard_3-2-0_096070_2021-08-25_final
2021-09-09 09:13:11	ga_ls8c_ard_3-2-0_089081_2021-09-08_final
2021-09-12 11:18:11	ga_ls8c_ard_3-2-0_110069_2021-09-12_final
2021-09-26 09:50:55	ga_ls8c_ard_3-2-0_096067_2021-09-26_final
2021-10-30 09:38:39	ga_ls8c_ard_3-2-0_094067_2021-10-30_final
2021-11-06 09:50:48	ga_ls8c_ard_3-2-0_095082_2021-11-06_final
2021-11-08 09:34:50	ga_ls8c_ard_3-2-0_093073_2021-11-08_final
2021-11-10 09:27:15	ga_ls8c_ard_3-2-0_091085_2021-11-09_final
2021-11-11 11:45:00	ga_ls8c_ard_3-2-0_114074_2021-11-11_final
2021-12-12 09:27:37	ga_ls8c_ard_3-2-1_091086_2021-12-11_final
2021-12-25 10:29:34	ga_ls8c_ard_3-2-1_102071_2021-12-25_final
2022-01-06 09:17:21	ga_ls8c_ard_3-2-1_090076_2022-01-05_final
2022-01-21 11:52:59	ga_ls8c_ard_3-2-1_115079_2022-01-21_final
2022-01-28 10:22:14	ga_ls8c_ard_3-2-1_100084_2022-01-28_final
2022-01-31 09:16:15	ga_ls8c_ard_3-2-1_089089_2022-01-30_final
2022-02-04 10:24:25	ga_ls8c_ard_3-2-1_101074_2022-02-04_final
2022-02-14 09:28:57	ga_ls8c_ard_3-2-1_091090_2022-02-13_final
2022-02-17 11:31:31	ga_ls8c_ard_3-2-1_112072_2022-02-17_final
2022-03-01 10:22:07	ga_ls8c_ard_3-2-1_100084_2022-03-01_final
2022-03-02 09:23:18	ga_ls8c_ard_3-2-1_091076_2022-03-01_final
2022-03-03 10:09:45	ga_ls8c_ard_3-2-1_098084_2022-03-03_final
2022-04-05 09:11:29	ga_ls8c_ard_3-2-1_089078_2022-04-04_final
2022-04-09 10:25:17	ga_ls8c_ard_3-2-1_101077_2022-04-09_final
2022-04-10 09:33:40	ga_ls8c_ard_3-2-1_092087_2022-04-10_final
2022-04-11 11:52:37	ga_ls8c_ard_3-2-1_115079_2022-04-11_final
2022-04-12 09:22:31	ga_ls8c_ard_3-2-1_090090_2022-04-11_final
2022-04-19 09:22:42	ga_ls8c_ard_3-2-1_091075_2022-04-18_final
2022-06-06 09:28:32	ga_ls8c_ard_3-2-1_091089_2022-06-05_final
2022-06-08 09:13:24	ga_ls8c_ard_3-2-1_089082_2022-06-07_final
2022-06-23 10:03:58	ga_ls8c_ard_3-2-1_098069_2022-06-23_final
2022-07-13 09:40:03	ga_ls8c_ard_3-2-1_094071_2022-07-13_final
2022-07-29 09:46:36	ga_ls8c_ard_3-2-1_094087_2022-07-29_final
2022-07-31 09:33:04	ga_ls8c_ard_3-2-1_092084_2022-07-31_final
2022-08-26 10:07:29	ga_ls8c_ard_3-2-1_098077_2022-08-26_final
2022-09-11 10:10:20	ga_ls8c_ard_3-2-1_098084_2022-09-11_final
2022-09-17 09:30:06	ga_ls8c_ard_3-2-1_092076_2022-09-17_final
2022-09-27 10:07:59	ga_ls8c_ard_3-2-1_098078_2022-09-27_final
2022-10-04 10:14:56	ga_ls8c_ard_3-2-1_099080_2022-10-04_final
2022-10-07 09:08:07	ga_ls8c_ard_3-2-1_088083_2022-10-06_final
2022-10-10 11:14:16	ga_ls8c_ard_3-2-1_109074_2022-10-10_final
2022-10-14 09:12:12	ga_ls8c_ard_3-2-1_089078_2022-10-13_final
2022-10-20 11:52:58	ga_ls8c_ard_3-2-1_115078_2022-10-20_final
2022-11-06 10:54:37	ga_ls8c_ard_3-2-1_106071_2022-11-06_final
2022-11-11 11:14:43	ga_ls8c_ard_3-2-1_109075_2022-11-11_final
2022-11-13 09:25:27	ga_ls8c_ard_3-2-1_091080_2022-11-12_final
2022-11-18 09:41:08	ga_ls8c_ard_3-2-1_094073_2022-11-18_final
2022-11-28 10:20:16	ga_ls8c_ard_3-2-1_100078_2022-11-28_final
2022-12-01 09:15:04	ga_ls8c_ard_3-2-1_089085_2022-11-30_final
2022-12-11 09:48:08	ga_ls8c_ard_3-2-1_095075_2022-12-11_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