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
2020-03-27 08:42:10	ga_ls8c_ard_3-2-1_084082_2020-03-26_final
2020-04-06 12:30:56	ga_ls8c_ard_3-2-1_122067_2020-04-06_final
2021-03-15 12:37:18	ga_ls8c_ard_3-2-1_123067_2021-03-15_final
2021-07-12 09:34:09	ga_ls8c_ard_3-2-0_092088_2021-07-12_final
2021-07-17 09:51:31	ga_ls8c_ard_3-2-0_095085_2021-07-17_final
2021-07-17 11:28:00	ga_ls8c_ard_3-2-0_111079_2021-07-17_final
2021-07-24 11:30:40	ga_ls8c_ard_3-2-0_112070_2021-07-24_final
2021-08-04 09:33:43	ga_ls8c_ard_3-2-0_093071_2021-08-04_final
2021-08-11 11:18:26	ga_ls8c_ard_3-2-0_110070_2021-08-11_final
2021-08-22 11:04:20	ga_ls8c_ard_3-2-0_107081_2021-08-22_final
2021-09-09 10:52:04	ga_ls8c_ard_3-2-0_105081_2021-09-09_final
2021-09-28 11:18:39	ga_ls8c_ard_3-2-0_110070_2021-09-28_final
2021-10-02 10:55:57	ga_ls8c_ard_3-2-0_106075_2021-10-02_final
2021-10-20 10:42:51	ga_ls8c_ard_3-2-0_104073_2021-10-20_final
2021-11-06 09:47:13	ga_ls8c_ard_3-2-0_095073_2021-11-06_final
2021-11-10 11:00:09	ga_ls8c_ard_3-2-0_107070_2021-11-10_final
2021-11-12 10:49:22	ga_ls8c_ard_3-2-0_105074_2021-11-12_final
2021-11-25 10:18:03	ga_ls8c_ard_3-2-0_100073_2021-11-25_final
2021-12-04 10:10:41	ga_ls8c_ard_3-2-0_099070_2021-12-04_final
2021-12-12 11:00:07	ga_ls8c_ard_3-2-1_107070_2021-12-12_final
2021-12-22 11:37:58	ga_ls8c_ard_3-2-1_113072_2021-12-22_final
2021-12-29 10:10:00	ga_ls8c_ard_3-2-1_098084_2021-12-29_final
2022-01-04 09:29:18	ga_ls8c_ard_3-2-1_092075_2022-01-03_final
2022-01-14 10:09:57	ga_ls8c_ard_3-2-1_098084_2022-01-14_final
2022-01-16 11:36:28	ga_ls8c_ard_3-2-1_112084_2022-01-16_final
2022-01-25 09:52:33	ga_ls8c_ard_3-2-1_095087_2022-01-25_final
2022-02-17 11:36:19	ga_ls8c_ard_3-2-1_112084_2022-02-17_final
2022-02-28 09:34:28	ga_ls8c_ard_3-2-1_093073_2022-02-28_final
2022-03-31 10:33:23	ga_ls8c_ard_3-2-1_102082_2022-03-31_final
2022-04-06 09:57:33	ga_ls8c_ard_3-2-1_096085_2022-04-06_final
2022-05-06 10:09:11	ga_ls8c_ard_3-2-1_098083_2022-05-06_final
2022-05-10 09:44:06	ga_ls8c_ard_3-2-1_094082_2022-05-10_final
2022-05-10 11:24:11	ga_ls8c_ard_3-2-1_110085_2022-05-10_final
2022-05-13 10:08:39	ga_ls8c_ard_3-2-1_099066_2022-05-13_final
2022-05-14 10:55:54	ga_ls8c_ard_3-2-1_106076_2022-05-14_final
2022-06-13 09:32:48	ga_ls8c_ard_3-2-1_092084_2022-06-13_final
2022-06-22 09:29:05	ga_ls8c_ard_3-2-1_091090_2022-06-21_final
2022-06-30 10:10:10	ga_ls8c_ard_3-2-1_099069_2022-06-30_final
2022-07-05 10:28:43	ga_ls8c_ard_3-2-1_102069_2022-07-05_final
2022-07-09 11:47:40	ga_ls8c_ard_3-2-1_114081_2022-07-09_final
2022-07-13 11:18:32	ga_ls8c_ard_3-2-1_110070_2022-07-13_final
2022-07-21 10:33:33	ga_ls8c_ard_3-2-1_102081_2022-07-21_final
2022-08-01 10:09:09	ga_ls8c_ard_3-2-1_099066_2022-08-01_final
2022-08-22 10:33:48	ga_ls8c_ard_3-2-1_102081_2022-08-22_final
2022-08-26 10:05:29	ga_ls8c_ard_3-2-1_098072_2022-08-26_final
2022-08-27 10:49:56	ga_ls8c_ard_3-2-1_105075_2022-08-27_final
2022-09-04 11:38:11	ga_ls8c_ard_3-2-1_113072_2022-09-04_final
2022-09-24 09:41:05	ga_ls8c_ard_3-2-1_093088_2022-09-24_final
2022-09-27 10:10:47	ga_ls8c_ard_3-2-1_098085_2022-09-27_final
2022-10-17 09:41:09	ga_ls8c_ard_3-2-1_094073_2022-10-17_final
2022-10-17 11:18:51	ga_ls8c_ard_3-2-1_110070_2022-10-17_final
2022-10-19 09:32:49	ga_ls8c_ard_3-2-1_092083_2022-10-19_final
2022-10-28 09:27:30	ga_ls8c_ard_3-2-1_091085_2022-10-27_final
2022-10-30 10:50:27	ga_ls8c_ard_3-2-1_105076_2022-10-30_final
2022-11-08 10:44:39	ga_ls8c_ard_3-2-1_104077_2022-11-08_final
2022-11-11 09:39:26	ga_ls8c_ard_3-2-1_093084_2022-11-11_final
2022-12-01 10:49:34	ga_ls8c_ard_3-2-1_105074_2022-12-01_final
2022-12-08 10:56:32	ga_ls8c_ard_3-2-1_106076_2022-12-08_final
2022-12-27 11:24:54	ga_ls8c_ard_3-2-1_111070_2022-12-27_final
2023-01-02 10:47:26	ga_ls8c_ard_3-2-1_105069_2023-01-02_final
2023-01-03 09:53:48	ga_ls8c_ard_3-2-1_096074_2023-01-03_final
2023-01-03 11:36:40	ga_ls8c_ard_3-2-1_112084_2023-01-03_final
2023-01-07 09:29:28	ga_ls8c_ard_3-2-1_092075_2023-01-06_final
2023-01-19 11:36:09	ga_ls8c_ard_3-2-1_112083_2023-01-19_final
2023-01-21 11:24:13	ga_ls8c_ard_3-2-1_110084_2023-01-21_final
2023-02-24 11:10:01	ga_ls8c_ard_3-2-1_108080_2023-02-24_final
2023-03-22 11:47:17	ga_ls8c_ard_3-2-1_114081_2023-03-22_final
2023-03-30 10:55:23	ga_ls8c_ard_3-2-1_106075_2023-03-30_final
2023-04-11 11:23:27	ga_ls8c_ard_3-2-1_110084_2023-04-11_final
2023-05-05 10:27:30	ga_ls8c_ard_3-2-1_102068_2023-05-05_final
2023-05-22 09:39:19	ga_ls8c_ard_3-2-1_093087_2023-05-22_final
2023-05-24 09:28:10	ga_ls8c_ard_3-2-1_091090_2023-05-23_final
2023-06-06 10:27:50	ga_ls8c_ard_3-2-1_102069_2023-06-06_final
2023-06-14 11:17:46	ga_ls8c_ard_3-2-1_110070_2023-06-14_final
2023-07-09 09:34:08	ga_ls8c_ard_3-2-1_093073_2023-07-09_final
2023-07-19 10:13:13	ga_ls8c_ard_3-2-1_099078_2023-07-19_final
2023-07-21 11:37:21	ga_ls8c_ard_3-2-1_113072_2023-07-21_final
2023-08-08 09:51:51	ga_ls8c_ard_3-2-1_095086_2023-08-08_final
2023-08-14 10:49:18	ga_ls8c_ard_3-2-1_105075_2023-08-14_final
2023-08-31 11:31:52	ga_ls8c_ard_3-2-1_112073_2023-08-31_final
2023-09-15 10:51:51	ga_ls8c_ard_3-2-1_105081_2023-09-15_final
2023-09-26 10:28:10	ga_ls8c_ard_3-2-1_102068_2023-09-26_final
2023-09-29 09:22:36	ga_ls8c_ard_3-2-1_091074_2023-09-28_final
2023-10-24 12:31:28	ga_ls8c_ard_3-2-1_122067_2023-10-24_final
2023-11-30 09:33:51	ga_ls8c_ard_3-2-1_093071_2023-11-30_final
2023-11-30 09:40:39	ga_ls8c_ard_3-2-1_093088_2023-11-30_final
2023-12-14 11:24:16	ga_ls8c_ard_3-2-1_111069_2023-12-14_final
2023-12-14 11:24:40	ga_ls8c_ard_3-2-1_111070_2023-12-14_final
2023-12-23 11:24:07	ga_ls8c_ard_3-2-1_110084_2023-12-23_final
2023-12-30 09:52:33	ga_ls8c_ard_3-2-1_095087_2023-12-30_final
2024-01-07 10:39:07	ga_ls8c_ard_3-2-1_103080_2024-01-07_final
2024-01-19 11:01:28	ga_ls8c_ard_3-2-1_107074_2024-01-19_final
2024-01-24 11:20:21	ga_ls8c_ard_3-2-1_110075_2024-01-24_final
2024-02-05 10:07:26	ga_ls8c_ard_3-2-1_098078_2024-02-05_final
2024-02-09 11:24:00	ga_ls8c_ard_3-2-1_110084_2024-02-09_final
2024-02-16 11:24:33	ga_ls8c_ard_3-2-1_111070_2024-02-16_final
2024-02-23 11:36:18	ga_ls8c_ard_3-2-1_112084_2024-02-23_final
2024-03-25 10:52:15	ga_ls8c_ard_3-2-1_105083_2024-03-25_final
2024-03-26 11:35:29	ga_ls8c_ard_3-2-1_112083_2024-03-26_final
2024-04-01 12:30:53	ga_ls8c_ard_3-2-1_122067_2024-04-01_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