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
2016-11-20 10:09:04	ga_ls8c_ard_3-2-1_099066_2016-11-20_final
2019-10-12 10:09:07	ga_ls8c_ard_3-2-1_099066_2019-10-12_final
2019-11-17 08:11:03	ga_ls8c_ard_3-2-1_079080_2019-11-16_final
2021-07-29 10:08:46	ga_ls8c_ard_3-2-1_099066_2021-07-29_final
2022-01-23 11:42:37	ga_ls8c_ard_3-2-1_113084_2022-01-23_final
2022-03-01 11:57:24	ga_ls8c_ard_3-2-1_116075_2022-03-01_final
2022-04-12 12:31:06	ga_ls8c_ard_3-2-1_122067_2022-04-12_final
2022-08-03 11:42:53	ga_ls8c_ard_3-2-1_113084_2022-08-03_final
2022-11-07 11:43:04	ga_ls8c_ard_3-2-1_113084_2022-11-07_final
2023-08-25 10:28:28	ga_ls8c_ard_3-2-1_102069_2023-08-25_final
2023-08-26 09:40:02	ga_ls8c_ard_3-2-1_093087_2023-08-26_final
2023-09-02 09:44:12	ga_ls8c_ard_3-2-1_094082_2023-09-02_final
2023-09-02 09:46:12	ga_ls8c_ard_3-2-1_094087_2023-09-02_final
2023-09-09 11:24:05	ga_ls8c_ard_3-2-1_111069_2023-09-09_final
2023-09-10 10:28:28	ga_ls8c_ard_3-2-1_102069_2023-09-10_final
2023-09-14 10:09:23	ga_ls8c_ard_3-2-1_098083_2023-09-14_final
2023-09-15 09:14:58	ga_ls8c_ard_3-2-1_089086_2023-09-14_final
2023-09-16 09:51:51	ga_ls8c_ard_3-2-1_096070_2023-09-16_final
2023-09-16 11:35:31	ga_ls8c_ard_3-2-1_112082_2023-09-16_final
2023-09-18 09:45:05	ga_ls8c_ard_3-2-1_094084_2023-09-18_final
2023-09-21 10:08:48	ga_ls8c_ard_3-2-1_099066_2023-09-21_final
2023-09-25 09:50:53	ga_ls8c_ard_3-2-1_095083_2023-09-25_final
2023-09-25 11:30:10	ga_ls8c_ard_3-2-1_111084_2023-09-25_final
2023-09-30 10:05:52	ga_ls8c_ard_3-2-1_098074_2023-09-30_final
2023-10-09 11:41:23	ga_ls8c_ard_3-2-1_113081_2023-10-09_final
2023-10-13 09:34:37	ga_ls8c_ard_3-2-1_093073_2023-10-13_final
2023-10-13 09:40:36	ga_ls8c_ard_3-2-1_093088_2023-10-13_final
2023-10-15 09:23:27	ga_ls8c_ard_3-2-1_091076_2023-10-14_final
2023-10-15 10:59:56	ga_ls8c_ard_3-2-1_107070_2023-10-15_final
2023-10-18 09:56:43	ga_ls8c_ard_3-2-1_096082_2023-10-18_final
2023-10-20 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-20_final
2023-10-21 10:24:26	ga_ls8c_ard_3-2-1_101074_2023-10-21_final
2023-10-22 09:32:25	ga_ls8c_ard_3-2-1_092083_2023-10-22_final
2023-10-24 09:22:52	ga_ls8c_ard_3-2-1_090090_2023-10-23_final
2023-10-27 09:47:01	ga_ls8c_ard_3-2-1_095073_2023-10-27_final
2023-10-28 10:33:52	ga_ls8c_ard_3-2-1_102082_2023-10-28_final
2023-10-29 11:14:20	ga_ls8c_ard_3-2-1_109075_2023-10-29_final
2023-11-01 10:05:10	ga_ls8c_ard_3-2-1_098072_2023-11-01_final
2023-11-01 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-11-01_final
2023-11-08 10:13:40	ga_ls8c_ard_3-2-1_099078_2023-11-08_final
2023-11-17 10:09:33	ga_ls8c_ard_3-2-1_098083_2023-11-17_final
2023-11-17 10:10:21	ga_ls8c_ard_3-2-1_098085_2023-11-17_final
2023-11-18 10:50:01	ga_ls8c_ard_3-2-1_105076_2023-11-18_final
2023-11-21 09:44:27	ga_ls8c_ard_3-2-1_094082_2023-11-21_final
2023-11-23 11:08:12	ga_ls8c_ard_3-2-1_108075_2023-11-23_final
2023-11-23 11:11:47	ga_ls8c_ard_3-2-1_108084_2023-11-23_final
2023-11-25 10:54:38	ga_ls8c_ard_3-2-1_106072_2023-11-25_final
2023-11-26 09:58:37	ga_ls8c_ard_3-2-1_097071_2023-11-26_final
2023-11-26 11:41:53	ga_ls8c_ard_3-2-1_113082_2023-11-26_final
2023-11-27 10:42:40	ga_ls8c_ard_3-2-1_104073_2023-11-27_final
2023-11-29 10:33:53	ga_ls8c_ard_3-2-1_102082_2023-11-29_final
2023-12-05 09:52:42	ga_ls8c_ard_3-2-1_096072_2023-12-05_final
2023-12-07 09:44:18	ga_ls8c_ard_3-2-1_094082_2023-12-07_final
2023-12-07 09:45:30	ga_ls8c_ard_3-2-1_094085_2023-12-07_final
2023-12-07 11:20:23	ga_ls8c_ard_3-2-1_110075_2023-12-07_final
2023-12-08 10:22:47	ga_ls8c_ard_3-2-1_101070_2023-12-08_final
2023-12-12 09:58:31	ga_ls8c_ard_3-2-1_097071_2023-12-12_final
2023-12-18 09:23:29	ga_ls8c_ard_3-2-1_091076_2023-12-17_final
2023-12-19 10:07:57	ga_ls8c_ard_3-2-1_098079_2023-12-19_final
2023-12-22 10:34:28	ga_ls8c_ard_3-2-1_103068_2023-12-22_final
2023-12-26 10:14:07	ga_ls8c_ard_3-2-1_099079_2023-12-26_final
2023-12-27 10:58:34	ga_ls8c_ard_3-2-1_106082_2023-12-27_final
2023-12-29 10:41:24	ga_ls8c_ard_3-2-1_104070_2023-12-29_final
2023-12-29 10:42:36	ga_ls8c_ard_3-2-1_104073_2023-12-29_final
2023-12-30 09:46:58	ga_ls8c_ard_3-2-1_095073_2023-12-30_final
2023-12-31 10:33:48	ga_ls8c_ard_3-2-1_102082_2023-12-31_final
2024-01-01 09:38:34	ga_ls8c_ard_3-2-1_093083_2024-01-01_final
2024-01-04 10:09:01	ga_ls8c_ard_3-2-1_098082_2024-01-04_final
2024-01-05 10:51:04	ga_ls8c_ard_3-2-1_105079_2024-01-05_final
2024-01-06 09:52:40	ga_ls8c_ard_3-2-1_096072_2024-01-06_final
2024-01-06 11:35:32	ga_ls8c_ard_3-2-1_112082_2024-01-06_final
2024-01-10 11:07:16	ga_ls8c_ard_3-2-1_108073_2024-01-10_final
2024-01-15 11:26:13	ga_ls8c_ard_3-2-1_111074_2024-01-15_final
2024-01-16 10:29:00	ga_ls8c_ard_3-2-1_102070_2024-01-16_final
2024-01-20 10:07:26	ga_ls8c_ard_3-2-1_098078_2024-01-20_final
2024-01-21 10:52:41	ga_ls8c_ard_3-2-1_105083_2024-01-21_final
2024-01-24 09:44:15	ga_ls8c_ard_3-2-1_094082_2024-01-24_final
2024-01-25 10:23:54	ga_ls8c_ard_3-2-1_101073_2024-01-25_final
2024-01-26 09:32:15	ga_ls8c_ard_3-2-1_092083_2024-01-26_final
2024-01-28 09:22:42	ga_ls8c_ard_3-2-1_090090_2024-01-27_final
2024-01-29 11:41:40	ga_ls8c_ard_3-2-1_113082_2024-01-29_final
2024-01-31 11:29:44	ga_ls8c_ard_3-2-1_111083_2024-01-31_final
2024-02-02 09:40:06	ga_ls8c_ard_3-2-1_093087_2024-02-02_final
2024-02-12 10:13:13	ga_ls8c_ard_3-2-1_099077_2024-02-12_final
2024-02-14 11:41:43	ga_ls8c_ard_3-2-1_113082_2024-02-14_final
2024-02-14 11:42:07	ga_ls8c_ard_3-2-1_113083_2024-02-14_final
2024-02-16 09:52:27	ga_ls8c_ard_3-2-1_095087_2024-02-16_final
2024-02-18 09:38:30	ga_ls8c_ard_3-2-1_093083_2024-02-18_final
2024-02-20 11:04:13	ga_ls8c_ard_3-2-1_107081_2024-02-20_final
2024-02-22 10:46:16	ga_ls8c_ard_3-2-1_105067_2024-02-22_final
2024-02-22 10:49:04	ga_ls8c_ard_3-2-1_105074_2024-02-22_final
2024-02-26 10:23:54	ga_ls8c_ard_3-2-1_101073_2024-02-26_final
2024-03-01 11:37:37	ga_ls8c_ard_3-2-1_113072_2024-03-01_final
2024-03-06 10:21:10	ga_ls8c_ard_3-2-1_100082_2024-03-06_final
2024-03-07 11:05:13	ga_ls8c_ard_3-2-1_107084_2024-03-07_final
2024-03-09 09:16:22	ga_ls8c_ard_3-2-1_089090_2024-03-08_final
2024-03-12 09:40:28	ga_ls8c_ard_3-2-1_094073_2024-03-12_final
2024-03-12 09:40:52	ga_ls8c_ard_3-2-1_094074_2024-03-12_final
2024-03-30 09:27:28	ga_ls8c_ard_3-2-1_092072_2024-03-29_final
2024-04-02 11:41:15	ga_ls8c_ard_3-2-1_113082_2024-04-02_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