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
2021-10-18 10:53:37	ga_ls8c_ard_3-2-0_106069_2021-10-18_final
2021-11-03 09:21:55	ga_ls8c_ard_3-2-0_090087_2021-11-02_final
2021-11-07 10:28:28	ga_ls8c_ard_3-2-0_102068_2021-11-07_final
2021-11-08 09:34:02	ga_ls8c_ard_3-2-0_093071_2021-11-08_final
2021-11-11 10:07:43	ga_ls8c_ard_3-2-0_098078_2021-11-11_final
2021-11-29 09:58:32	ga_ls8c_ard_3-2-0_096086_2021-11-29_final
2022-01-01 10:34:30	ga_ls8c_ard_3-2-1_103068_2022-01-01_final
2022-01-13 09:27:54	ga_ls8c_ard_3-2-1_091087_2022-01-12_final
2022-01-20 11:07:44	ga_ls8c_ard_3-2-1_108074_2022-01-20_final
2022-01-21 11:51:24	ga_ls8c_ard_3-2-1_115075_2022-01-21_final
2022-01-23 09:58:08	ga_ls8c_ard_3-2-1_097070_2022-01-23_final
2022-01-30 10:07:29	ga_ls8c_ard_3-2-1_098078_2022-01-30_final
2022-02-06 10:14:03	ga_ls8c_ard_3-2-1_099079_2022-02-06_final
2022-02-13 10:20:11	ga_ls8c_ard_3-2-1_100079_2022-02-13_final
2022-02-19 11:20:21	ga_ls8c_ard_3-2-1_110075_2022-02-19_final
2022-02-26 09:46:50	ga_ls8c_ard_3-2-1_095073_2022-02-26_final
2022-03-04 09:11:44	ga_ls8c_ard_3-2-1_089078_2022-03-03_final
2022-03-14 11:25:14	ga_ls8c_ard_3-2-1_111072_2022-03-14_final
2022-03-31 10:29:48	ga_ls8c_ard_3-2-1_102073_2022-03-31_final
2022-04-05 09:11:05	ga_ls8c_ard_3-2-1_089077_2022-04-04_final
2022-04-19 11:01:35	ga_ls8c_ard_3-2-1_107075_2022-04-19_final
2022-04-20 10:09:09	ga_ls8c_ard_3-2-1_098083_2022-04-20_final
2022-04-23 10:34:03	ga_ls8c_ard_3-2-1_103068_2022-04-23_final
2022-04-29 09:57:19	ga_ls8c_ard_3-2-1_097069_2022-04-29_final
2022-05-02 10:28:16	ga_ls8c_ard_3-2-1_102069_2022-05-02_final
2022-05-06 10:03:12	ga_ls8c_ard_3-2-1_098068_2022-05-06_final
2022-05-10 11:19:48	ga_ls8c_ard_3-2-1_110074_2022-05-10_final
2022-05-29 10:09:04	ga_ls8c_ard_3-2-1_099067_2022-05-29_final
2022-06-02 09:52:24	ga_ls8c_ard_3-2-1_095087_2022-06-02_final
2022-06-23 10:04:46	ga_ls8c_ard_3-2-1_098071_2022-06-23_final
2022-06-27 11:19:21	ga_ls8c_ard_3-2-1_110072_2022-06-27_final
2022-06-29 11:11:23	ga_ls8c_ard_3-2-1_108083_2022-06-29_final
2022-07-09 10:03:11	ga_ls8c_ard_3-2-1_098067_2022-07-09_final
2022-07-20 09:51:28	ga_ls8c_ard_3-2-1_095084_2022-07-20_final
2022-07-29 11:20:18	ga_ls8c_ard_3-2-1_110074_2022-07-29_final
2022-08-01 10:10:21	ga_ls8c_ard_3-2-1_099069_2022-08-01_final
2022-08-11 09:17:01	ga_ls8c_ard_3-2-1_089090_2022-08-10_final
2022-08-16 11:08:04	ga_ls8c_ard_3-2-1_108074_2022-08-16_final
2022-09-03 09:23:13	ga_ls8c_ard_3-2-1_090090_2022-09-02_final
2022-09-06 09:47:22	ga_ls8c_ard_3-2-1_095073_2022-09-06_final
2022-09-06 11:25:51	ga_ls8c_ard_3-2-1_111072_2022-09-06_final
2022-09-17 11:08:35	ga_ls8c_ard_3-2-1_108075_2022-09-17_final
2022-09-27 10:04:00	ga_ls8c_ard_3-2-1_098068_2022-09-27_final
2022-10-01 11:20:32	ga_ls8c_ard_3-2-1_110074_2022-10-01_final
2022-10-03 09:34:04	ga_ls8c_ard_3-2-1_092086_2022-10-03_final
2022-10-20 10:14:05	ga_ls8c_ard_3-2-1_099078_2022-10-20_final
2022-11-30 10:10:42	ga_ls8c_ard_3-2-1_098085_2022-11-30_final
2022-12-06 09:34:24	ga_ls8c_ard_3-2-1_092087_2022-12-06_final
2022-12-07 10:16:28	ga_ls8c_ard_3-2-1_099084_2022-12-07_final
2022-12-13 11:15:02	ga_ls8c_ard_3-2-1_109076_2022-12-13_final
2022-12-17 09:10:59	ga_ls8c_ard_3-2-1_089075_2022-12-16_final
2022-12-17 09:13:46	ga_ls8c_ard_3-2-1_089082_2022-12-16_final
2022-12-21 10:24:17	ga_ls8c_ard_3-2-1_101073_2022-12-21_final
2022-12-25 10:01:57	ga_ls8c_ard_3-2-1_097079_2022-12-25_final
2022-12-25 11:38:50	ga_ls8c_ard_3-2-1_113074_2022-12-25_final
2023-01-03 09:53:48	ga_ls8c_ard_3-2-1_096074_2023-01-03_final
2023-01-07 09:31:04	ga_ls8c_ard_3-2-1_092079_2023-01-07_final
2023-01-07 09:34:39	ga_ls8c_ard_3-2-1_092088_2023-01-07_final
2023-01-09 09:22:17	ga_ls8c_ard_3-2-1_090088_2023-01-08_final
2023-01-25 09:21:27	ga_ls8c_ard_3-2-1_090086_2023-01-24_final
2023-01-25 10:55:09	ga_ls8c_ard_3-2-1_106073_2023-01-25_final
2023-01-30 09:39:13	ga_ls8c_ard_3-2-1_093084_2023-01-30_final
2023-01-30 11:14:54	ga_ls8c_ard_3-2-1_109076_2023-01-30_final
2023-02-15 09:34:43	ga_ls8c_ard_3-2-1_093073_2023-02-15_final
2023-02-27 11:38:30	ga_ls8c_ard_3-2-1_113074_2023-02-27_final
2023-03-16 09:06:41	ga_ls8c_ard_3-2-1_088081_2023-03-15_final
2023-03-16 09:07:05	ga_ls8c_ard_3-2-1_088082_2023-03-15_final
2023-03-20 10:21:12	ga_ls8c_ard_3-2-1_100082_2023-03-20_final
2023-04-13 11:08:18	ga_ls8c_ard_3-2-1_108077_2023-04-13_final
2023-05-24 09:21:47	ga_ls8c_ard_3-2-1_091074_2023-05-23_final
2023-05-28 10:35:09	ga_ls8c_ard_3-2-1_103072_2023-05-28_final
2023-06-20 10:45:29	ga_ls8c_ard_3-2-1_104082_2023-06-20_final
2023-06-23 09:33:07	ga_ls8c_ard_3-2-1_093071_2023-06-23_final
2023-07-05 10:00:49	ga_ls8c_ard_3-2-1_097078_2023-07-05_final
2023-07-05 11:42:05	ga_ls8c_ard_3-2-1_113084_2023-07-05_final
2023-07-07 11:29:21	ga_ls8c_ard_3-2-1_111083_2023-07-07_final
2023-07-20 10:52:53	ga_ls8c_ard_3-2-1_106069_2023-07-20_final
2023-07-27 09:27:04	ga_ls8c_ard_3-2-1_091086_2023-07-26_final
2023-08-04 10:14:58	ga_ls8c_ard_3-2-1_099082_2023-08-04_final
2023-08-28 09:28:28	ga_ls8c_ard_3-2-1_091089_2023-08-27_final
2023-09-21 10:09:12	ga_ls8c_ard_3-2-1_099067_2023-09-21_final
2023-09-22 09:21:09	ga_ls8c_ard_3-2-1_090086_2023-09-21_final
2023-09-26 10:30:10	ga_ls8c_ard_3-2-1_102073_2023-09-26_final
2023-10-16 10:04:42	ga_ls8c_ard_3-2-1_098071_2023-10-16_final
2023-11-12 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-11-12_final
2023-11-22 10:27:43	ga_ls8c_ard_3-2-1_101082_2023-11-22_final
2023-11-23 11:06:36	ga_ls8c_ard_3-2-1_108071_2023-11-23_final
2023-11-27 09:06:35	ga_ls8c_ard_3-2-1_088080_2023-11-26_final
2023-12-03 10:04:19	ga_ls8c_ard_3-2-1_098070_2023-12-03_final
2023-12-07 09:40:42	ga_ls8c_ard_3-2-1_094073_2023-12-07_final
2023-12-18 11:01:34	ga_ls8c_ard_3-2-1_107074_2023-12-18_final
2023-12-19 10:07:33	ga_ls8c_ard_3-2-1_098078_2023-12-19_final
2024-01-03 11:02:15	ga_ls8c_ard_3-2-1_107076_2024-01-03_final
2024-01-05 09:10:11	ga_ls8c_ard_3-2-1_089074_2024-01-04_final
2024-01-06 09:57:51	ga_ls8c_ard_3-2-1_096085_2024-01-06_final
2024-01-17 11:14:39	ga_ls8c_ard_3-2-1_109076_2024-01-17_final
2024-01-21 10:46:42	ga_ls8c_ard_3-2-1_105068_2024-01-21_nrt
2024-01-31 09:46:03	ga_ls8c_ard_3-2-1_095071_2024-01-31_final
2024-03-05 11:16:25	ga_ls8c_ard_3-2-1_109081_2024-03-05_final
2024-03-08 10:07:12	ga_ls8c_ard_3-2-1_098078_2024-03-08_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years