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
2018-10-09 10:08:32	ga_ls8c_ard_3-2-1_099066_2018-10-09_final
2021-12-17 09:40:10	ga_ls8c_ard_3-2-1_094071_2021-12-17_final
2021-12-18 10:25:49	ga_ls8c_ard_3-2-1_101077_2021-12-18_final
2021-12-21 09:22:13	ga_ls8c_ard_3-2-1_090088_2021-12-20_final
2022-01-11 11:17:57	ga_ls8c_ard_3-2-1_109084_2022-01-11_final
2022-01-15 10:48:26	ga_ls8c_ard_3-2-1_105072_2022-01-15_final
2022-01-19 10:23:17	ga_ls8c_ard_3-2-1_101071_2022-01-19_final
2022-01-31 09:13:27	ga_ls8c_ard_3-2-1_089082_2022-01-30_final
2022-03-10 10:09:06	ga_ls8c_ard_3-2-1_099067_2022-03-10_final
2022-03-16 09:33:58	ga_ls8c_ard_3-2-1_093072_2022-03-16_final
2022-03-25 09:34:04	ga_ls8c_ard_3-2-1_092088_2022-03-25_final
2022-04-01 09:40:10	ga_ls8c_ard_3-2-1_093088_2022-04-01_final
2022-04-03 09:21:25	ga_ls8c_ard_3-2-1_091072_2022-04-02_final
2022-04-10 09:34:51	ga_ls8c_ard_3-2-1_092090_2022-04-10_final
2022-05-13 10:13:50	ga_ls8c_ard_3-2-1_099079_2022-05-13_final
2022-05-21 09:28:01	ga_ls8c_ard_3-2-1_091088_2022-05-20_final
2022-05-23 09:13:39	ga_ls8c_ard_3-2-1_089083_2022-05-22_final
2022-06-02 09:52:24	ga_ls8c_ard_3-2-1_095087_2022-06-02_final
2022-06-09 09:51:53	ga_ls8c_ard_3-2-1_096070_2022-06-09_final
2022-06-22 11:05:11	ga_ls8c_ard_3-2-1_107083_2022-06-22_final
2022-07-25 10:10:05	ga_ls8c_ard_3-2-1_098084_2022-07-25_final
2022-07-26 09:12:05	ga_ls8c_ard_3-2-1_089078_2022-07-25_final
2022-07-29 11:20:42	ga_ls8c_ard_3-2-1_110075_2022-07-29_final
2022-08-02 09:17:08	ga_ls8c_ard_3-2-1_090075_2022-08-01_final
2022-08-02 10:53:13	ga_ls8c_ard_3-2-1_106068_2022-08-02_final
2022-08-03 11:42:53	ga_ls8c_ard_3-2-1_113084_2022-08-03_final
2022-08-29 10:35:35	ga_ls8c_ard_3-2-1_103070_2022-08-29_final
2022-08-29 10:36:23	ga_ls8c_ard_3-2-1_103072_2022-08-29_final
2022-08-30 11:19:38	ga_ls8c_ard_3-2-1_110072_2022-08-30_final
2022-09-02 10:13:39	ga_ls8c_ard_3-2-1_099077_2022-09-02_final
2022-09-08 09:35:01	ga_ls8c_ard_3-2-1_093073_2022-09-08_final
2022-09-10 09:23:05	ga_ls8c_ard_3-2-1_091074_2022-09-09_final
2022-09-11 10:07:09	ga_ls8c_ard_3-2-1_098076_2022-09-11_final
2022-09-18 10:16:33	ga_ls8c_ard_3-2-1_099084_2022-09-18_final
2022-10-01 09:41:15	ga_ls8c_ard_3-2-1_094073_2022-10-01_final
2022-10-06 11:42:38	ga_ls8c_ard_3-2-1_113083_2022-10-06_final
2022-10-07 10:46:36	ga_ls8c_ard_3-2-1_104082_2022-10-07_final
2022-10-09 10:28:38	ga_ls8c_ard_3-2-1_102068_2022-10-09_final
2022-10-13 10:05:03	ga_ls8c_ard_3-2-1_098071_2022-10-13_final
2022-10-19 09:33:13	ga_ls8c_ard_3-2-1_092084_2022-10-19_final
2022-10-21 09:22:52	ga_ls8c_ard_3-2-1_090089_2022-10-20_final
2022-10-22 09:57:22	ga_ls8c_ard_3-2-1_097067_2022-10-22_final
2022-11-06 10:56:13	ga_ls8c_ard_3-2-1_106075_2022-11-06_final
2022-11-15 10:47:33	ga_ls8c_ard_3-2-1_105069_2022-11-15_final
2022-11-20 11:08:04	ga_ls8c_ard_3-2-1_108074_2022-11-20_final
2022-12-01 10:49:34	ga_ls8c_ard_3-2-1_105074_2022-12-01_final
2022-12-01 10:50:22	ga_ls8c_ard_3-2-1_105076_2022-12-01_final
2022-12-07 10:09:41	ga_ls8c_ard_3-2-1_099067_2022-12-07_final
2022-12-07 10:11:41	ga_ls8c_ard_3-2-1_099072_2022-12-07_final
2022-12-07 10:16:04	ga_ls8c_ard_3-2-1_099083_2022-12-07_final
2023-01-24 10:09:05	ga_ls8c_ard_3-2-1_099066_2023-01-24_final
2023-01-25 09:21:03	ga_ls8c_ard_3-2-1_090085_2023-01-24_final
2023-01-29 10:28:27	ga_ls8c_ard_3-2-1_102068_2023-01-29_final
2023-01-31 10:17:17	ga_ls8c_ard_3-2-1_100071_2023-01-31_final
2023-01-31 11:58:34	ga_ls8c_ard_3-2-1_116077_2023-01-31_final
2023-02-01 11:00:33	ga_ls8c_ard_3-2-1_107071_2023-02-01_final
2023-02-28 10:43:17	ga_ls8c_ard_3-2-1_104075_2023-02-28_final
2023-03-01 11:24:33	ga_ls8c_ard_3-2-1_111070_2023-03-01_final
2023-03-25 10:34:53	ga_ls8c_ard_3-2-1_103070_2023-03-25_final
2023-03-26 11:20:08	ga_ls8c_ard_3-2-1_110075_2023-03-26_final
2023-03-28 09:30:52	ga_ls8c_ard_3-2-1_092080_2023-03-28_final
2023-04-01 09:06:54	ga_ls8c_ard_3-2-1_088082_2023-03-31_final
2023-04-02 11:28:38	ga_ls8c_ard_3-2-1_111081_2023-04-02_final
2023-04-07 10:04:12	ga_ls8c_ard_3-2-1_098071_2023-04-07_final
2023-04-08 09:14:09	ga_ls8c_ard_3-2-1_089085_2023-04-07_final
2023-04-19 10:32:46	ga_ls8c_ard_3-2-1_102081_2023-04-19_final
2023-04-30 10:08:37	ga_ls8c_ard_3-2-1_099067_2023-04-30_final
2023-05-10 09:11:03	ga_ls8c_ard_3-2-1_089078_2023-05-09_final
2023-05-15 09:33:07	ga_ls8c_ard_3-2-1_092087_2023-05-15_final
2023-05-17 09:16:21	ga_ls8c_ard_3-2-1_090076_2023-05-16_final
2023-05-24 09:27:22	ga_ls8c_ard_3-2-1_091088_2023-05-23_final
2023-05-30 10:24:23	ga_ls8c_ard_3-2-1_101076_2023-05-30_final
2023-06-02 09:21:36	ga_ls8c_ard_3-2-1_090089_2023-06-01_final
2023-06-18 09:16:10	ga_ls8c_ard_3-2-1_090075_2023-06-17_final
2023-06-29 10:33:50	ga_ls8c_ard_3-2-1_103068_2023-06-29_final
2023-07-02 11:06:22	ga_ls8c_ard_3-2-1_108072_2023-07-02_final
2023-07-02 11:07:34	ga_ls8c_ard_3-2-1_108075_2023-07-02_final
2023-07-05 09:57:37	ga_ls8c_ard_3-2-1_097070_2023-07-05_final
2023-08-05 10:58:14	ga_ls8c_ard_3-2-1_106082_2023-08-05_final
2023-08-20 11:52:46	ga_ls8c_ard_3-2-1_115079_2023-08-20_final
2023-08-23 09:07:07	ga_ls8c_ard_3-2-1_088082_2023-08-22_final
2023-08-28 09:21:41	ga_ls8c_ard_3-2-1_091072_2023-08-27_final
2023-08-30 10:52:12	ga_ls8c_ard_3-2-1_105082_2023-08-30_final
2023-09-02 09:40:13	ga_ls8c_ard_3-2-1_094072_2023-09-02_final
2023-10-16 10:04:42	ga_ls8c_ard_3-2-1_098071_2023-10-16_final
2023-10-23 10:10:54	ga_ls8c_ard_3-2-1_099071_2023-10-23_final
2023-10-29 11:17:32	ga_ls8c_ard_3-2-1_109083_2023-10-29_final
2023-11-05 11:19:18	ga_ls8c_ard_3-2-1_110072_2023-11-05_final
2023-11-18 10:49:13	ga_ls8c_ard_3-2-1_105074_2023-11-18_final
2023-11-23 11:07:24	ga_ls8c_ard_3-2-1_108073_2023-11-23_final
2023-11-23 11:08:12	ga_ls8c_ard_3-2-1_108075_2023-11-23_final
2023-11-25 09:21:20	ga_ls8c_ard_3-2-1_090086_2023-11-24_final
2023-11-25 10:53:50	ga_ls8c_ard_3-2-1_106070_2023-11-25_final
2023-12-04 09:14:39	ga_ls8c_ard_3-2-1_089085_2023-12-03_final
2023-12-19 10:07:33	ga_ls8c_ard_3-2-1_098078_2023-12-19_final
2024-01-03 12:37:33	ga_ls8c_ard_3-2-1_123067_2024-01-03_final
2024-01-16 10:31:47	ga_ls8c_ard_3-2-1_102077_2024-01-16_final
2024-02-08 10:34:45	ga_ls8c_ard_3-2-1_103069_2024-02-08_final
2024-03-16 09:21:42	ga_ls8c_ard_3-2-1_090088_2024-03-15_final
2024-04-02 09:57:59	ga_ls8c_ard_3-2-1_097071_2024-04-02_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