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
2021-03-24 10:54:35	ga_ls8c_ard_3-2-0_106073_2021-03-24_final
2021-03-25 09:58:10	ga_ls8c_ard_3-2-0_097071_2021-03-25_final
2021-04-09 09:16:50	ga_ls8c_ard_3-2-0_090076_2021-04-08_final
2021-04-11 10:42:32	ga_ls8c_ard_3-2-0_104074_2021-04-11_final
2021-04-16 09:25:21	ga_ls8c_ard_3-2-0_091082_2021-04-15_final
2021-05-18 09:26:29	ga_ls8c_ard_3-2-0_091085_2021-05-17_final
2021-06-12 09:16:55	ga_ls8c_ard_3-2-0_090076_2021-06-11_final
2021-06-12 10:55:00	ga_ls8c_ard_3-2-0_106074_2021-06-12_final
2021-06-29 11:41:56	ga_ls8c_ard_3-2-0_113083_2021-06-29_final
2021-07-07 09:14:01	ga_ls8c_ard_3-2-0_089084_2021-07-06_final
2021-07-10 09:38:08	ga_ls8c_ard_3-2-0_094067_2021-07-10_final
2021-08-04 11:17:48	ga_ls8c_ard_3-2-0_109084_2021-08-04_final
2021-08-09 09:57:29	ga_ls8c_ard_3-2-0_096084_2021-08-09_final
2021-08-13 11:06:05	ga_ls8c_ard_3-2-0_108070_2021-08-13_final
2021-09-04 10:29:54	ga_ls8c_ard_3-2-0_102072_2021-09-04_final
2021-09-14 09:28:56	ga_ls8c_ard_3-2-0_092074_2021-09-13_final
2021-10-06 10:29:15	ga_ls8c_ard_3-2-0_102070_2021-10-06_final
2021-10-07 09:37:38	ga_ls8c_ard_3-2-0_093080_2021-10-07_final
2021-10-21 11:24:07	ga_ls8c_ard_3-2-0_111068_2021-10-21_final
2021-10-26 11:42:16	ga_ls8c_ard_3-2-0_114067_2021-10-26_final
2021-10-28 09:57:48	ga_ls8c_ard_3-2-0_096084_2021-10-28_final
2021-11-11 10:03:44	ga_ls8c_ard_3-2-0_098068_2021-11-11_final
2021-11-19 09:17:02	ga_ls8c_ard_3-2-0_090075_2021-11-18_final
2021-11-20 11:41:11	ga_ls8c_ard_3-2-0_113080_2021-11-20_final
2021-12-05 09:17:04	ga_ls8c_ard_3-2-0_090075_2021-12-04_final
2021-12-31 09:52:02	ga_ls8c_ard_3-2-1_096070_2021-12-31_final
2021-12-31 09:58:25	ga_ls8c_ard_3-2-1_096086_2021-12-31_final
2022-01-05 10:14:10	ga_ls8c_ard_3-2-1_099079_2022-01-05_final
2022-01-09 09:47:02	ga_ls8c_ard_3-2-1_095073_2022-01-09_final
2022-01-18 11:23:18	ga_ls8c_ard_3-2-1_110082_2022-01-18_final
2022-01-20 09:29:15	ga_ls8c_ard_3-2-1_092075_2022-01-19_final
2022-01-25 09:51:21	ga_ls8c_ard_3-2-1_095084_2022-01-25_final
2022-02-10 11:25:00	ga_ls8c_ard_3-2-1_111071_2022-02-10_final
2022-02-12 09:35:20	ga_ls8c_ard_3-2-1_093075_2022-02-12_final
2022-02-19 11:20:44	ga_ls8c_ard_3-2-1_110076_2022-02-19_final
2022-02-24 10:01:11	ga_ls8c_ard_3-2-1_097078_2022-02-24_final
2022-03-02 11:01:47	ga_ls8c_ard_3-2-1_107075_2022-03-02_final
2022-03-09 09:27:51	ga_ls8c_ard_3-2-1_092072_2022-03-08_final
2022-03-10 11:51:11	ga_ls8c_ard_3-2-1_115075_2022-03-10_final
2022-03-17 10:22:00	ga_ls8c_ard_3-2-1_100084_2022-03-17_final
2022-03-20 09:13:35	ga_ls8c_ard_3-2-1_089083_2022-03-19_final
2022-03-23 09:44:03	ga_ls8c_ard_3-2-1_094082_2022-03-23_final
2022-03-25 11:06:57	ga_ls8c_ard_3-2-1_108073_2022-03-25_final
2022-04-08 11:18:54	ga_ls8c_ard_3-2-1_110072_2022-04-08_final
2022-04-19 11:00:48	ga_ls8c_ard_3-2-1_107073_2022-04-19_final
2022-05-03 09:39:51	ga_ls8c_ard_3-2-1_093087_2022-05-03_final
2022-05-18 10:30:24	ga_ls8c_ard_3-2-1_102074_2022-05-18_final
2022-06-03 10:28:05	ga_ls8c_ard_3-2-1_102068_2022-06-03_final
2022-06-05 10:17:21	ga_ls8c_ard_3-2-1_100072_2022-06-05_final
2022-06-06 11:00:38	ga_ls8c_ard_3-2-1_107072_2022-06-06_final
2022-06-07 10:05:01	ga_ls8c_ard_3-2-1_098072_2022-06-07_final
2022-06-13 09:31:36	ga_ls8c_ard_3-2-1_092081_2022-06-13_final
2022-06-25 09:57:36	ga_ls8c_ard_3-2-1_096084_2022-06-25_final
2022-08-02 09:22:19	ga_ls8c_ard_3-2-1_090088_2022-08-01_final
2022-08-09 09:28:57	ga_ls8c_ard_3-2-1_091089_2022-08-08_final
2022-08-17 11:52:56	ga_ls8c_ard_3-2-1_115078_2022-08-17_final
2022-08-18 10:54:55	ga_ls8c_ard_3-2-1_106072_2022-08-18_final
2022-09-02 10:10:27	ga_ls8c_ard_3-2-1_099069_2022-09-02_final
2022-09-22 11:24:21	ga_ls8c_ard_3-2-1_111068_2022-09-22_final
2022-09-24 09:35:06	ga_ls8c_ard_3-2-1_093073_2022-09-24_final
2022-10-04 10:14:32	ga_ls8c_ard_3-2-1_099079_2022-10-04_final
2022-10-05 10:54:36	ga_ls8c_ard_3-2-1_106071_2022-10-05_final
2022-10-28 11:05:35	ga_ls8c_ard_3-2-1_107083_2022-10-28_final
2022-11-01 10:40:29	ga_ls8c_ard_3-2-1_103082_2022-11-01_final
2022-11-14 10:07:54	ga_ls8c_ard_3-2-1_098078_2022-11-14_final
2022-12-01 10:49:10	ga_ls8c_ard_3-2-1_105073_2022-12-01_final
2022-12-14 10:21:48	ga_ls8c_ard_3-2-1_100082_2022-12-14_final
2023-01-24 11:53:09	ga_ls8c_ard_3-2-1_115079_2023-01-24_final
2023-01-31 10:18:05	ga_ls8c_ard_3-2-1_100073_2023-01-31_final
2023-03-21 09:25:57	ga_ls8c_ard_3-2-1_091083_2023-03-20_final
2023-04-13 09:27:25	ga_ls8c_ard_3-2-1_092072_2023-04-12_final
2023-04-26 10:34:10	ga_ls8c_ard_3-2-1_103069_2023-04-26_final
2023-05-13 11:23:11	ga_ls8c_ard_3-2-1_110084_2023-05-13_final
2023-06-19 09:58:38	ga_ls8c_ard_3-2-1_097073_2023-06-19_final
2023-07-21 11:42:08	ga_ls8c_ard_3-2-1_113084_2023-07-21_final
2023-08-05 10:55:03	ga_ls8c_ard_3-2-1_106074_2023-08-05_final
2023-08-07 10:42:41	ga_ls8c_ard_3-2-1_104074_2023-08-07_final
2023-08-18 10:24:38	ga_ls8c_ard_3-2-1_101075_2023-08-18_final
2023-09-14 11:46:16	ga_ls8c_ard_3-2-1_114078_2023-09-14_final
2023-09-15 09:16:10	ga_ls8c_ard_3-2-1_089089_2023-09-14_final
2023-09-22 09:21:57	ga_ls8c_ard_3-2-1_090088_2023-09-21_final
2023-09-29 09:27:00	ga_ls8c_ard_3-2-1_091085_2023-09-28_final
2023-10-08 10:53:20	ga_ls8c_ard_3-2-1_106069_2023-10-08_final
2023-10-13 09:35:24	ga_ls8c_ard_3-2-1_093075_2023-10-13_final
2023-10-26 10:42:38	ga_ls8c_ard_3-2-1_104073_2023-10-26_final
2023-11-01 10:09:33	ga_ls8c_ard_3-2-1_098083_2023-11-01_final
2023-11-18 09:10:44	ga_ls8c_ard_3-2-1_089075_2023-11-17_final
2023-11-26 09:58:13	ga_ls8c_ard_3-2-1_097070_2023-11-26_final
2024-01-03 09:25:46	ga_ls8c_ard_3-2-1_091082_2024-01-02_final
2024-01-06 11:36:20	ga_ls8c_ard_3-2-1_112084_2024-01-06_final
2024-01-19 11:05:04	ga_ls8c_ard_3-2-1_107083_2024-01-19_final
2024-01-20 10:07:26	ga_ls8c_ard_3-2-1_098078_2024-01-20_final
2024-01-21 10:52:17	ga_ls8c_ard_3-2-1_105082_2024-01-21_final
2024-02-02 11:12:36	ga_ls8c_ard_3-2-1_109071_2024-02-02_final
2024-02-11 09:29:33	ga_ls8c_ard_3-2-1_092076_2024-02-10_final
2024-02-24 10:35:05	ga_ls8c_ard_3-2-1_103070_2024-02-24_final
2024-02-28 10:15:55	ga_ls8c_ard_3-2-1_099084_2024-02-28_final
2024-03-04 10:31:59	ga_ls8c_ard_3-2-1_102078_2024-03-04_final
2024-03-05 11:12:26	ga_ls8c_ard_3-2-1_109071_2024-03-05_final
2024-03-23 11:04:40	ga_ls8c_ard_3-2-1_107083_2024-03-23_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