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
2020-02-05 08:10:46	ga_ls8c_ard_3-2-1_079080_2020-02-04_final
2020-02-21 08:10:43	ga_ls8c_ard_3-2-1_079080_2020-02-20_final
2020-10-02 08:11:02	ga_ls8c_ard_3-2-1_079080_2020-10-01_final
2022-01-25 08:10:52	ga_ls8c_ard_3-2-1_079080_2022-01-24_final
2022-06-24 09:15:56	ga_ls8c_ard_3-2-1_089088_2022-06-23_final
2022-12-27 08:11:07	ga_ls8c_ard_3-2-1_079080_2022-12-26_final
2023-05-17 12:30:32	ga_ls8c_ard_3-2-1_122067_2023-05-17_final
2023-09-07 11:42:24	ga_ls8c_ard_3-2-1_113084_2023-09-07_final
2023-12-18 11:00:47	ga_ls8c_ard_3-2-1_107072_2023-12-18_final
2023-12-22 10:35:40	ga_ls8c_ard_3-2-1_103071_2023-12-22_final
2023-12-24 10:24:54	ga_ls8c_ard_3-2-1_101075_2023-12-24_final
2023-12-27 10:56:34	ga_ls8c_ard_3-2-1_106077_2023-12-27_final
2024-01-03 09:25:22	ga_ls8c_ard_3-2-1_091081_2024-01-02_final
2024-01-06 09:53:51	ga_ls8c_ard_3-2-1_096075_2024-01-06_final
2024-01-06 09:54:15	ga_ls8c_ard_3-2-1_096076_2024-01-06_final
2024-01-06 09:55:03	ga_ls8c_ard_3-2-1_096078_2024-01-06_final
2024-01-08 09:43:31	ga_ls8c_ard_3-2-1_094080_2024-01-08_final
2024-01-10 11:10:51	ga_ls8c_ard_3-2-1_108082_2024-01-10_final
2024-01-12 10:54:31	ga_ls8c_ard_3-2-1_106072_2024-01-12_final
2024-01-25 10:25:30	ga_ls8c_ard_3-2-1_101077_2024-01-25_final
2024-01-26 11:08:45	ga_ls8c_ard_3-2-1_108077_2024-01-26_final
2024-01-27 10:14:43	ga_ls8c_ard_3-2-1_099081_2024-01-27_final
2024-01-28 09:18:42	ga_ls8c_ard_3-2-1_090080_2024-01-27_final
2024-01-28 10:58:23	ga_ls8c_ard_3-2-1_106082_2024-01-28_final
2024-01-29 10:03:11	ga_ls8c_ard_3-2-1_097083_2024-01-29_final
2024-01-29 10:03:59	ga_ls8c_ard_3-2-1_097085_2024-01-29_final
2024-01-30 10:41:40	ga_ls8c_ard_3-2-1_104071_2024-01-30_final
2024-01-30 10:44:04	ga_ls8c_ard_3-2-1_104077_2024-01-30_final
2024-01-30 10:46:03	ga_ls8c_ard_3-2-1_104082_2024-01-30_final
2024-01-31 09:48:03	ga_ls8c_ard_3-2-1_095076_2024-01-31_final
2024-02-04 11:01:03	ga_ls8c_ard_3-2-1_107073_2024-02-04_final
2024-02-05 10:10:14	ga_ls8c_ard_3-2-1_098085_2024-02-05_final
2024-02-06 10:51:06	ga_ls8c_ard_3-2-1_105079_2024-02-06_final
2024-02-07 09:55:53	ga_ls8c_ard_3-2-1_096080_2024-02-07_final
2024-02-07 09:57:52	ga_ls8c_ard_3-2-1_096085_2024-02-07_final
2024-02-08 10:37:57	ga_ls8c_ard_3-2-1_103077_2024-02-08_final
2024-02-09 09:44:43	ga_ls8c_ard_3-2-1_094083_2024-02-09_final
2024-02-09 11:18:49	ga_ls8c_ard_3-2-1_110071_2024-02-09_final
2024-02-10 10:25:11	ga_ls8c_ard_3-2-1_101076_2024-02-10_final
2024-02-12 10:12:49	ga_ls8c_ard_3-2-1_099076_2024-02-12_final
2024-02-13 10:56:52	ga_ls8c_ard_3-2-1_106078_2024-02-13_final
2024-02-14 11:40:31	ga_ls8c_ard_3-2-1_113079_2024-02-14_final
2024-02-16 09:48:52	ga_ls8c_ard_3-2-1_095078_2024-02-16_final
2024-02-16 09:49:39	ga_ls8c_ard_3-2-1_095080_2024-02-16_final
2024-02-16 11:26:33	ga_ls8c_ard_3-2-1_111075_2024-02-16_final
2024-02-18 11:17:23	ga_ls8c_ard_3-2-1_109083_2024-02-18_final
2024-02-22 10:46:16	ga_ls8c_ard_3-2-1_105067_2024-02-22_final
2024-02-23 09:55:26	ga_ls8c_ard_3-2-1_096079_2024-02-23_final
2024-02-23 11:35:06	ga_ls8c_ard_3-2-1_112081_2024-02-23_final
2024-02-24 10:36:41	ga_ls8c_ard_3-2-1_103074_2024-02-24_final
2024-02-24 10:38:17	ga_ls8c_ard_3-2-1_103078_2024-02-24_final
2024-02-25 09:40:39	ga_ls8c_ard_3-2-1_094073_2024-02-25_final
2024-02-25 11:21:32	ga_ls8c_ard_3-2-1_110078_2024-02-25_final
2024-02-26 10:25:30	ga_ls8c_ard_3-2-1_101077_2024-02-26_final
2024-02-26 10:25:54	ga_ls8c_ard_3-2-1_101078_2024-02-26_final
2024-02-27 09:34:40	ga_ls8c_ard_3-2-1_092089_2024-02-27_final
2024-02-27 11:07:09	ga_ls8c_ard_3-2-1_108073_2024-02-27_final
2024-02-29 09:19:29	ga_ls8c_ard_3-2-1_090082_2024-02-28_final
2024-03-01 09:59:56	ga_ls8c_ard_3-2-1_097075_2024-03-01_final
2024-03-01 10:01:56	ga_ls8c_ard_3-2-1_097080_2024-03-01_final
2024-03-03 09:47:56	ga_ls8c_ard_3-2-1_095076_2024-03-03_final
2024-03-03 09:50:20	ga_ls8c_ard_3-2-1_095082_2024-03-03_final
2024-03-03 09:51:56	ga_ls8c_ard_3-2-1_095086_2024-03-03_final
2024-03-03 11:26:25	ga_ls8c_ard_3-2-1_111075_2024-03-03_final
2024-03-06 10:20:23	ga_ls8c_ard_3-2-1_100080_2024-03-06_final
2024-03-12 09:41:40	ga_ls8c_ard_3-2-1_094076_2024-03-12_final
2024-03-12 09:43:40	ga_ls8c_ard_3-2-1_094081_2024-03-12_final
2024-03-12 09:44:28	ga_ls8c_ard_3-2-1_094083_2024-03-12_final
2024-03-13 10:23:20	ga_ls8c_ard_3-2-1_101072_2024-03-13_final
2024-03-14 11:06:11	ga_ls8c_ard_3-2-1_108071_2024-03-14_final
2024-03-15 10:11:45	ga_ls8c_ard_3-2-1_099074_2024-03-15_final
2024-03-15 10:12:09	ga_ls8c_ard_3-2-1_099075_2024-03-15_final
2024-03-16 09:17:43	ga_ls8c_ard_3-2-1_090078_2024-03-15_final
2024-03-16 10:54:12	ga_ls8c_ard_3-2-1_106072_2024-03-16_final
2024-03-16 10:56:36	ga_ls8c_ard_3-2-1_106078_2024-03-16_final
2024-03-18 10:43:25	ga_ls8c_ard_3-2-1_104076_2024-03-18_final
2024-03-19 09:49:23	ga_ls8c_ard_3-2-1_095080_2024-03-19_final
2024-03-19 11:25:52	ga_ls8c_ard_3-2-1_111074_2024-03-19_final
2024-03-21 09:36:11	ga_ls8c_ard_3-2-1_093078_2024-03-21_final
2024-03-21 09:37:47	ga_ls8c_ard_3-2-1_093082_2024-03-21_final
2024-03-21 09:39:23	ga_ls8c_ard_3-2-1_093086_2024-03-21_final
2024-03-23 09:28:11	ga_ls8c_ard_3-2-1_091089_2024-03-22_final
2024-03-23 11:02:40	ga_ls8c_ard_3-2-1_107078_2024-03-23_final
2024-03-24 10:08:13	ga_ls8c_ard_3-2-1_098081_2024-03-24_final
2024-03-27 10:37:50	ga_ls8c_ard_3-2-1_103078_2024-03-27_final
2024-03-29 10:25:28	ga_ls8c_ard_3-2-1_101078_2024-03-29_final
2024-03-29 10:26:16	ga_ls8c_ard_3-2-1_101080_2024-03-29_final
2024-03-29 10:27:28	ga_ls8c_ard_3-2-1_101083_2024-03-29_final
2024-03-30 09:32:15	ga_ls8c_ard_3-2-1_092084_2024-03-30_final
2024-03-30 11:07:57	ga_ls8c_ard_3-2-1_108076_2024-03-30_final
2024-04-01 10:54:00	ga_ls8c_ard_3-2-1_106072_2024-04-01_final
2024-04-01 10:55:35	ga_ls8c_ard_3-2-1_106076_2024-04-01_final
2024-04-01 10:56:23	ga_ls8c_ard_3-2-1_106078_2024-04-01_final
2024-04-02 10:02:46	ga_ls8c_ard_3-2-1_097083_2024-04-02_final
2024-04-03 10:42:50	ga_ls8c_ard_3-2-1_104075_2024-04-03_final
2024-04-03 10:44:02	ga_ls8c_ard_3-2-1_104078_2024-04-03_final
2024-04-04 11:28:53	ga_ls8c_ard_3-2-1_111082_2024-04-04_final
2024-04-05 10:29:16	ga_ls8c_ard_3-2-1_102072_2024-04-05_final
2024-04-07 11:57:47	ga_ls8c_ard_3-2-1_116077_2024-04-07_final
2024-04-08 11:00:10	ga_ls8c_ard_3-2-1_107072_2024-04-08_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