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
2021-05-03 10:02:04	ga_ls8c_ard_3-2-1_098066_2021-05-03_final
2022-01-22 10:52:34	ga_ls8c_ard_3-2-1_106067_2022-01-22_final
2022-07-30 10:26:17	ga_ls8c_ard_3-2-1_101078_2022-07-30_final
2022-09-15 09:40:27	ga_ls8c_ard_3-2-1_094071_2022-09-15_final
2022-09-15 09:40:51	ga_ls8c_ard_3-2-1_094072_2022-09-15_final
2022-09-19 09:23:20	ga_ls8c_ard_3-2-1_090090_2022-09-18_final
2022-10-12 09:23:24	ga_ls8c_ard_3-2-1_091075_2022-10-11_final
2022-10-13 10:10:14	ga_ls8c_ard_3-2-1_098084_2022-10-13_final
2022-10-16 10:39:58	ga_ls8c_ard_3-2-1_103081_2022-10-16_final
2022-10-20 10:11:18	ga_ls8c_ard_3-2-1_099071_2022-10-20_final
2022-10-22 11:39:02	ga_ls8c_ard_3-2-1_113074_2022-10-22_final
2022-10-27 10:21:55	ga_ls8c_ard_3-2-1_100082_2022-10-27_final
2022-10-28 09:22:43	ga_ls8c_ard_3-2-1_091073_2022-10-27_final
2022-11-07 09:57:48	ga_ls8c_ard_3-2-1_097068_2022-11-07_final
2022-11-13 09:22:39	ga_ls8c_ard_3-2-1_091073_2022-11-12_final
2022-11-15 09:11:52	ga_ls8c_ard_3-2-1_089077_2022-11-14_final
2022-11-18 11:18:49	ga_ls8c_ard_3-2-1_110070_2022-11-18_final
2022-11-21 10:14:51	ga_ls8c_ard_3-2-1_099080_2022-11-21_final
2022-11-24 10:46:34	ga_ls8c_ard_3-2-1_104082_2022-11-24_final
2022-11-27 09:36:12	ga_ls8c_ard_3-2-1_093076_2022-11-27_final
2022-12-04 09:41:11	ga_ls8c_ard_3-2-1_094073_2022-12-04_final
2022-12-11 11:26:13	ga_ls8c_ard_3-2-1_111073_2022-12-11_final
2022-12-15 09:28:33	ga_ls8c_ard_3-2-1_091088_2022-12-14_final
2022-12-20 11:21:31	ga_ls8c_ard_3-2-1_110077_2022-12-20_final
2022-12-24 09:21:04	ga_ls8c_ard_3-2-1_090085_2022-12-23_final
2022-12-27 11:26:05	ga_ls8c_ard_3-2-1_111073_2022-12-27_final
2022-12-29 09:34:51	ga_ls8c_ard_3-2-1_093073_2022-12-29_final
2023-01-01 10:10:09	ga_ls8c_ard_3-2-1_098084_2023-01-01_final
2023-01-09 10:52:47	ga_ls8c_ard_3-2-1_106067_2023-01-09_final
2023-01-09 10:54:23	ga_ls8c_ard_3-2-1_106071_2023-01-09_final
2023-01-13 10:28:25	ga_ls8c_ard_3-2-1_102068_2023-01-13_final
2023-01-15 10:22:01	ga_ls8c_ard_3-2-1_100083_2023-01-15_final
2023-01-18 09:13:59	ga_ls8c_ard_3-2-1_089083_2023-01-17_final
2023-01-21 11:24:13	ga_ls8c_ard_3-2-1_110084_2023-01-21_final
2023-01-24 10:09:29	ga_ls8c_ard_3-2-1_099067_2023-01-24_final
2023-01-24 10:11:05	ga_ls8c_ard_3-2-1_099071_2023-01-24_final
2023-01-24 11:51:34	ga_ls8c_ard_3-2-1_115075_2023-01-24_final
2023-01-25 10:54:45	ga_ls8c_ard_3-2-1_106072_2023-01-25_final
2023-02-02 10:05:20	ga_ls8c_ard_3-2-1_098072_2023-02-02_final
2023-02-05 10:36:13	ga_ls8c_ard_3-2-1_103072_2023-02-05_final
2023-02-19 10:49:36	ga_ls8c_ard_3-2-1_105075_2023-02-19_final
2023-02-25 11:52:27	ga_ls8c_ard_3-2-1_115078_2023-02-25_final
2023-02-28 09:06:24	ga_ls8c_ard_3-2-1_088080_2023-02-27_final
2023-03-21 09:21:34	ga_ls8c_ard_3-2-1_091072_2023-03-20_final
2023-03-31 11:38:14	ga_ls8c_ard_3-2-1_113074_2023-03-31_final
2023-04-24 09:16:01	ga_ls8c_ard_3-2-1_089090_2023-04-23_final
2023-04-29 09:31:45	ga_ls8c_ard_3-2-1_092083_2023-04-29_final
2023-05-20 11:23:46	ga_ls8c_ard_3-2-1_111070_2023-05-20_final
2023-05-25 10:06:15	ga_ls8c_ard_3-2-1_098077_2023-05-25_final
2023-05-31 11:10:27	ga_ls8c_ard_3-2-1_108083_2023-05-31_final
2023-06-07 09:39:25	ga_ls8c_ard_3-2-1_093087_2023-06-07_final
2023-06-17 10:09:24	ga_ls8c_ard_3-2-1_099069_2023-06-17_final
2023-06-25 11:04:28	ga_ls8c_ard_3-2-1_107083_2023-06-25_final
2023-07-05 10:01:13	ga_ls8c_ard_3-2-1_097079_2023-07-05_final
2023-08-13 10:07:13	ga_ls8c_ard_3-2-1_098078_2023-08-13_final
2023-08-16 10:35:46	ga_ls8c_ard_3-2-1_103072_2023-08-16_final
2023-08-21 10:52:46	ga_ls8c_ard_3-2-1_106068_2023-08-21_final
2023-08-28 09:26:28	ga_ls8c_ard_3-2-1_091084_2023-08-27_final
2023-09-05 10:08:42	ga_ls8c_ard_3-2-1_099066_2023-09-05_final
2023-09-08 09:06:19	ga_ls8c_ard_3-2-1_088080_2023-09-07_final
2023-09-22 10:52:51	ga_ls8c_ard_3-2-1_106068_2023-09-22_final
2023-10-01 09:16:38	ga_ls8c_ard_3-2-1_089090_2023-09-30_final
2023-10-08 10:52:56	ga_ls8c_ard_3-2-1_106068_2023-10-08_final
2023-10-15 09:21:51	ga_ls8c_ard_3-2-1_091072_2023-10-14_final
2023-10-15 11:05:07	ga_ls8c_ard_3-2-1_107083_2023-10-15_final
2023-10-20 11:18:03	ga_ls8c_ard_3-2-1_110069_2023-10-20_final
2023-10-28 10:33:52	ga_ls8c_ard_3-2-1_102082_2023-10-28_final
2023-11-01 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-11-01_final
2023-11-02 09:14:43	ga_ls8c_ard_3-2-1_089085_2023-11-01_final
2023-11-10 11:37:46	ga_ls8c_ard_3-2-1_113072_2023-11-10_final
2023-11-11 09:07:16	ga_ls8c_ard_3-2-1_088082_2023-11-10_final
2023-11-12 11:23:51	ga_ls8c_ard_3-2-1_111068_2023-11-12_final
2023-11-16 09:22:17	ga_ls8c_ard_3-2-1_091073_2023-11-15_final
2023-11-18 09:14:44	ga_ls8c_ard_3-2-1_089085_2023-11-17_final
2023-11-19 11:32:30	ga_ls8c_ard_3-2-1_112074_2023-11-19_final
2023-11-27 09:06:59	ga_ls8c_ard_3-2-1_088081_2023-11-26_final
2023-11-28 11:24:19	ga_ls8c_ard_3-2-1_111069_2023-11-28_final
2023-11-28 11:25:31	ga_ls8c_ard_3-2-1_111072_2023-11-28_final
2023-12-02 09:23:04	ga_ls8c_ard_3-2-1_091075_2023-12-01_final
2023-12-04 09:15:03	ga_ls8c_ard_3-2-1_089086_2023-12-03_final
2023-12-14 11:25:52	ga_ls8c_ard_3-2-1_111073_2023-12-14_final
2023-12-16 11:14:19	ga_ls8c_ard_3-2-1_109075_2023-12-16_final
2023-12-20 10:49:13	ga_ls8c_ard_3-2-1_105074_2023-12-20_final
2023-12-24 10:28:05	ga_ls8c_ard_3-2-1_101083_2023-12-24_final
2023-12-25 09:28:04	ga_ls8c_ard_3-2-1_092072_2023-12-24_final
2023-12-26 10:09:20	ga_ls8c_ard_3-2-1_099067_2023-12-26_final
2023-12-26 11:51:24	ga_ls8c_ard_3-2-1_115075_2023-12-26_final
2023-12-30 09:46:10	ga_ls8c_ard_3-2-1_095071_2023-12-30_final
2024-02-02 09:35:19	ga_ls8c_ard_3-2-1_093075_2024-02-02_final
2024-02-02 11:14:12	ga_ls8c_ard_3-2-1_109075_2024-02-02_final
2024-02-11 09:29:10	ga_ls8c_ard_3-2-1_092075_2024-02-10_final
2024-02-18 09:40:30	ga_ls8c_ard_3-2-1_093088_2024-02-18_final
2024-02-22 09:12:58	ga_ls8c_ard_3-2-1_089081_2024-02-21_final
2024-02-24 10:39:29	ga_ls8c_ard_3-2-1_103081_2024-02-24_final
2024-02-27 11:07:33	ga_ls8c_ard_3-2-1_108074_2024-02-27_final
2024-02-29 09:16:41	ga_ls8c_ard_3-2-1_090075_2024-02-28_final
2024-03-06 10:17:59	ga_ls8c_ard_3-2-1_100074_2024-03-06_final
2024-03-14 09:33:41	ga_ls8c_ard_3-2-1_092087_2024-03-14_final
2024-03-17 09:57:46	ga_ls8c_ard_3-2-1_097070_2024-03-17_final
2024-03-30 09:34:15	ga_ls8c_ard_3-2-1_092089_2024-03-30_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years