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
2020-12-26 10:07:15	ga_ls8c_ard_3-2-0_098077_2020-12-26_final
2021-01-07 10:30:18	ga_ls8c_ard_3-2-0_102073_2021-01-07_final
2021-01-08 11:17:09	ga_ls8c_ard_3-2-0_109082_2021-01-08_final
2021-01-09 10:22:19	ga_ls8c_ard_3-2-0_100084_2021-01-09_final
2021-02-14 11:35:56	ga_ls8c_ard_3-2-0_112083_2021-02-14_final
2021-02-16 11:20:23	ga_ls8c_ard_3-2-0_110075_2021-02-16_final
2021-02-27 11:02:58	ga_ls8c_ard_3-2-0_107078_2021-02-27_final
2021-03-08 09:22:37	ga_ls8c_ard_3-2-0_090090_2021-03-07_final
2021-03-14 10:21:09	ga_ls8c_ard_3-2-0_100082_2021-03-14_final
2021-03-31 09:24:39	ga_ls8c_ard_3-2-0_091080_2021-03-30_final
2021-04-24 11:51:13	ga_ls8c_ard_3-2-0_115076_2021-04-24_final
2021-05-11 10:53:31	ga_ls8c_ard_3-2-0_106071_2021-05-11_final
2021-05-19 11:45:03	ga_ls8c_ard_3-2-0_114076_2021-05-19_final
2021-05-23 11:23:34	ga_ls8c_ard_3-2-0_110084_2021-05-23_final
2021-06-01 09:31:47	ga_ls8c_ard_3-2-0_093067_2021-06-01_final
2021-06-01 11:11:28	ga_ls8c_ard_3-2-0_109069_2021-06-01_final
2021-06-06 09:57:09	ga_ls8c_ard_3-2-0_096084_2021-06-06_final
2021-06-22 09:55:15	ga_ls8c_ard_3-2-0_096079_2021-06-22_final
2021-06-22 09:55:39	ga_ls8c_ard_3-2-0_096080_2021-06-22_final
2021-06-27 11:51:53	ga_ls8c_ard_3-2-0_115077_2021-06-27_final
2021-07-14 10:53:06	ga_ls8c_ard_3-2-0_106069_2021-07-14_final
2021-08-26 10:34:26	ga_ls8c_ard_3-2-0_103068_2021-08-26_final
2021-09-07 11:00:25	ga_ls8c_ard_3-2-0_107071_2021-09-07_final
2021-09-12 11:22:58	ga_ls8c_ard_3-2-0_110081_2021-09-12_final
2021-10-10 11:47:26	ga_ls8c_ard_3-2-0_114080_2021-10-10_final
2021-10-25 11:01:00	ga_ls8c_ard_3-2-0_107072_2021-10-25_final
2021-10-27 10:50:38	ga_ls8c_ard_3-2-0_105077_2021-10-27_final
2021-11-24 11:15:40	ga_ls8c_ard_3-2-0_109078_2021-11-24_final
2021-12-01 09:46:10	ga_ls8c_ard_3-2-0_094086_2021-12-01_final
2021-12-21 10:55:30	ga_ls8c_ard_3-2-1_106074_2021-12-21_final
2021-12-29 10:08:24	ga_ls8c_ard_3-2-1_098080_2021-12-29_final
2022-01-04 11:07:23	ga_ls8c_ard_3-2-1_108073_2022-01-04_final
2022-01-11 11:12:46	ga_ls8c_ard_3-2-1_109071_2022-01-11_final
2022-01-22 09:19:17	ga_ls8c_ard_3-2-1_090081_2022-01-21_final
2022-01-23 09:58:56	ga_ls8c_ard_3-2-1_097072_2022-01-23_final
2022-01-24 10:42:11	ga_ls8c_ard_3-2-1_104072_2022-01-24_final
2022-01-29 09:28:12	ga_ls8c_ard_3-2-1_091088_2022-01-28_final
2022-02-15 11:44:42	ga_ls8c_ard_3-2-1_114074_2022-02-15_final
2022-02-15 11:45:06	ga_ls8c_ard_3-2-1_114075_2022-02-15_final
2022-03-30 11:27:01	ga_ls8c_ard_3-2-1_111077_2022-03-30_final
2022-05-03 11:14:44	ga_ls8c_ard_3-2-1_109077_2022-05-03_final
2022-05-05 11:01:12	ga_ls8c_ard_3-2-1_107074_2022-05-05_final
2022-05-06 10:06:47	ga_ls8c_ard_3-2-1_098077_2022-05-06_final
2022-06-04 11:14:58	ga_ls8c_ard_3-2-1_109077_2022-06-04_final
2022-07-13 09:41:15	ga_ls8c_ard_3-2-1_094074_2022-07-13_final
2022-07-17 09:21:19	ga_ls8c_ard_3-2-1_090086_2022-07-16_final
2022-07-25 11:46:10	ga_ls8c_ard_3-2-1_114077_2022-07-25_final
2022-08-07 09:34:07	ga_ls8c_ard_3-2-1_093071_2022-08-07_final
2022-08-09 09:25:22	ga_ls8c_ard_3-2-1_091080_2022-08-08_final
2022-08-14 11:21:13	ga_ls8c_ard_3-2-1_110076_2022-08-14_final
2022-11-18 11:19:37	ga_ls8c_ard_3-2-1_110072_2022-11-18_final
2022-12-01 09:14:40	ga_ls8c_ard_3-2-1_089084_2022-11-30_final
2022-12-07 11:52:09	ga_ls8c_ard_3-2-1_115076_2022-12-07_final
2022-12-13 09:38:56	ga_ls8c_ard_3-2-1_093083_2022-12-13_final
2022-12-14 10:21:48	ga_ls8c_ard_3-2-1_100082_2022-12-14_final
2022-12-15 11:03:03	ga_ls8c_ard_3-2-1_107077_2022-12-15_final
2022-12-27 11:25:17	ga_ls8c_ard_3-2-1_111071_2022-12-27_final
2023-01-03 11:33:05	ga_ls8c_ard_3-2-1_112075_2023-01-03_final
2023-01-16 11:02:28	ga_ls8c_ard_3-2-1_107076_2023-01-16_final
2023-01-25 10:59:08	ga_ls8c_ard_3-2-1_106083_2023-01-25_final
2023-01-26 10:04:19	ga_ls8c_ard_3-2-1_097085_2023-01-26_final
2023-02-15 11:13:35	ga_ls8c_ard_3-2-1_109073_2023-02-15_final
2023-03-05 09:23:42	ga_ls8c_ard_3-2-1_091077_2023-03-04_final
2023-03-09 10:35:25	ga_ls8c_ard_3-2-1_103071_2023-03-09_final
2023-03-10 11:18:41	ga_ls8c_ard_3-2-1_110071_2023-03-10_final
2023-03-11 10:27:03	ga_ls8c_ard_3-2-1_101081_2023-03-11_final
2023-03-21 11:00:27	ga_ls8c_ard_3-2-1_107072_2023-03-21_final
2023-03-29 10:14:08	ga_ls8c_ard_3-2-1_099080_2023-03-29_final
2023-04-24 09:10:50	ga_ls8c_ard_3-2-1_089077_2023-04-23_final
2023-04-24 10:47:43	ga_ls8c_ard_3-2-1_105072_2023-04-24_final
2023-05-15 09:32:44	ga_ls8c_ard_3-2-1_092086_2023-05-15_final
2023-05-21 10:32:56	ga_ls8c_ard_3-2-1_102082_2023-05-21_final
2023-05-30 10:22:24	ga_ls8c_ard_3-2-1_101071_2023-05-30_final
2023-06-19 09:59:02	ga_ls8c_ard_3-2-1_097074_2023-06-19_final
2023-07-02 11:10:45	ga_ls8c_ard_3-2-1_108083_2023-07-02_final
2023-07-16 09:40:20	ga_ls8c_ard_3-2-1_094073_2023-07-16_final
2023-08-04 10:14:10	ga_ls8c_ard_3-2-1_099080_2023-08-04_final
2023-08-24 11:26:05	ga_ls8c_ard_3-2-1_111074_2023-08-24_final
2023-09-22 09:20:45	ga_ls8c_ard_3-2-1_090085_2023-09-21_final
2023-10-02 09:55:54	ga_ls8c_ard_3-2-1_096080_2023-10-02_final
2023-10-14 10:21:52	ga_ls8c_ard_3-2-1_100083_2023-10-14_final
2023-10-16 10:04:18	ga_ls8c_ard_3-2-1_098070_2023-10-16_final
2023-11-01 10:03:58	ga_ls8c_ard_3-2-1_098069_2023-11-01_final
2023-12-05 09:57:54	ga_ls8c_ard_3-2-1_096085_2023-12-05_final
2023-12-13 10:41:24	ga_ls8c_ard_3-2-1_104070_2023-12-13_final
2023-12-18 11:05:34	ga_ls8c_ard_3-2-1_107084_2023-12-18_final
2023-12-22 10:34:28	ga_ls8c_ard_3-2-1_103068_2023-12-22_final
2023-12-27 10:52:35	ga_ls8c_ard_3-2-1_106067_2023-12-27_final
2023-12-30 09:51:21	ga_ls8c_ard_3-2-1_095084_2023-12-30_final
2024-01-01 09:39:46	ga_ls8c_ard_3-2-1_093086_2024-01-01_final
2024-01-17 11:17:50	ga_ls8c_ard_3-2-1_109084_2024-01-17_final
2024-01-21 09:13:00	ga_ls8c_ard_3-2-1_089081_2024-01-20_final
2024-01-21 10:50:17	ga_ls8c_ard_3-2-1_105077_2024-01-21_final
2024-01-29 11:41:40	ga_ls8c_ard_3-2-1_113082_2024-01-29_final
2024-02-02 11:17:23	ga_ls8c_ard_3-2-1_109083_2024-02-02_final
2024-02-14 11:42:07	ga_ls8c_ard_3-2-1_113083_2024-02-14_final
2024-02-16 11:24:57	ga_ls8c_ard_3-2-1_111071_2024-02-16_final
2024-02-22 09:14:34	ga_ls8c_ard_3-2-1_089085_2024-02-21_final
2024-03-04 10:33:35	ga_ls8c_ard_3-2-1_102082_2024-03-04_final
2024-04-01 09:17:54	ga_ls8c_ard_3-2-1_090079_2024-03-31_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