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
2013-12-11 09:47:00	ga_ls8c_ard_3-0-0_094085_2013-12-11_final
2015-01-22 09:45:34	ga_ls8c_ard_3-0-0_095070_2015-01-22_final
2016-02-10 09:46:48	ga_ls8c_ard_3-0-0_095073_2016-02-10_final
2016-10-16 09:45:21	ga_ls8c_ard_3-0-0_094084_2016-10-16_final
2017-07-06 09:44:12	ga_ls8c_ard_3-0-0_095067_2017-07-06_final
2017-11-11 09:46:16	ga_ls8c_ard_3-0-0_095071_2017-11-11_final
2018-02-08 09:40:04	ga_ls8c_ard_3-0-0_094072_2018-02-08_final
2018-11-23 09:40:09	ga_ls8c_ard_3-0-0_094072_2018-11-23_final
2018-11-26 10:08:40	ga_ls8c_ard_3-2-1_099066_2018-11-26_final
2019-12-12 09:40:32	ga_ls8c_ard_3-1-0_094072_2019-12-12_final
2021-03-08 09:18:37	ga_ls8c_ard_3-2-0_090080_2021-03-07_final
2021-04-09 09:21:13	ga_ls8c_ard_3-2-0_090087_2021-04-08_final
2021-05-11 09:16:14	ga_ls8c_ard_3-2-0_090075_2021-05-10_final
2021-05-21 11:31:07	ga_ls8c_ard_3-2-0_112072_2021-05-21_final
2021-05-25 11:10:49	ga_ls8c_ard_3-2-0_108083_2021-05-25_final
2021-06-01 11:14:16	ga_ls8c_ard_3-2-0_109076_2021-06-01_final
2021-06-05 09:10:17	ga_ls8c_ard_3-2-0_089075_2021-06-04_final
2021-06-17 09:33:53	ga_ls8c_ard_3-2-0_093072_2021-06-17_final
2021-07-01 09:45:30	ga_ls8c_ard_3-2-0_095070_2021-07-01_final
2021-07-04 10:17:12	ga_ls8c_ard_3-2-0_100072_2021-07-04_final
2021-08-01 09:06:47	ga_ls8c_ard_3-2-0_088081_2021-07-31_final
2021-08-08 09:11:25	ga_ls8c_ard_3-2-0_089077_2021-08-07_final
2021-08-24 09:11:54	ga_ls8c_ard_3-2-0_089078_2021-08-23_final
2021-08-27 09:40:01	ga_ls8c_ard_3-2-0_094071_2021-08-27_final
2021-08-29 11:07:45	ga_ls8c_ard_3-2-0_108074_2021-08-29_final
2021-09-16 10:56:16	ga_ls8c_ard_3-2-0_106076_2021-09-16_final
2021-10-23 09:34:53	ga_ls8c_ard_3-2-0_093073_2021-10-23_final
2021-10-26 11:42:16	ga_ls8c_ard_3-2-0_114067_2021-10-26_final
2021-11-16 10:27:49	ga_ls8c_ard_3-2-0_101082_2021-11-16_final
2021-11-18 10:15:50	ga_ls8c_ard_3-2-0_099083_2021-11-18_final
2022-01-06 10:55:50	ga_ls8c_ard_3-2-1_106075_2022-01-06_final
2022-01-07 11:37:53	ga_ls8c_ard_3-2-1_113072_2022-01-07_final
2022-02-18 10:34:18	ga_ls8c_ard_3-2-1_103068_2022-02-18_final
2022-02-23 09:16:44	ga_ls8c_ard_3-2-1_090075_2022-02-22_final
2022-03-03 10:04:34	ga_ls8c_ard_3-2-1_098071_2022-03-03_final
2022-03-19 10:07:14	ga_ls8c_ard_3-2-1_098078_2022-03-19_final
2022-04-05 10:48:46	ga_ls8c_ard_3-2-1_105074_2022-04-05_final
2022-04-10 09:33:16	ga_ls8c_ard_3-2-1_092086_2022-04-10_final
2022-04-11 10:10:33	ga_ls8c_ard_3-2-1_099071_2022-04-11_final
2022-04-17 09:33:29	ga_ls8c_ard_3-2-1_093071_2022-04-17_final
2022-04-17 11:12:22	ga_ls8c_ard_3-2-1_109071_2022-04-17_final
2022-04-22 09:52:48	ga_ls8c_ard_3-2-1_096073_2022-04-22_final
2022-05-01 11:25:28	ga_ls8c_ard_3-2-1_111073_2022-05-01_final
2022-05-17 11:25:37	ga_ls8c_ard_3-2-1_111073_2022-05-17_final
2022-05-29 10:09:28	ga_ls8c_ard_3-2-1_099068_2022-05-29_final
2022-07-29 11:20:42	ga_ls8c_ard_3-2-1_110075_2022-07-29_final
2022-09-05 09:07:41	ga_ls8c_ard_3-2-1_088082_2022-09-04_final
2022-09-15 11:23:20	ga_ls8c_ard_3-2-1_110081_2022-09-15_final
2022-09-20 09:57:49	ga_ls8c_ard_3-2-1_097068_2022-09-20_final
2022-09-27 10:03:36	ga_ls8c_ard_3-2-1_098067_2022-09-27_final
2022-09-30 10:36:29	ga_ls8c_ard_3-2-1_103072_2022-09-30_final
2022-10-12 09:27:23	ga_ls8c_ard_3-2-1_091085_2022-10-11_final
2022-11-02 11:18:57	ga_ls8c_ard_3-2-1_110070_2022-11-02_final
2022-11-15 10:49:33	ga_ls8c_ard_3-2-1_105074_2022-11-15_final
2022-11-15 10:49:57	ga_ls8c_ard_3-2-1_105075_2022-11-15_final
2022-11-22 09:18:02	ga_ls8c_ard_3-2-1_090077_2022-11-21_final
2022-11-29 09:29:26	ga_ls8c_ard_3-2-1_091090_2022-11-28_final
2022-11-30 11:45:11	ga_ls8c_ard_3-2-1_114074_2022-11-30_final
2022-12-04 09:40:23	ga_ls8c_ard_3-2-1_094071_2022-12-04_final
2022-12-08 10:56:32	ga_ls8c_ard_3-2-1_106076_2022-12-08_final
2022-12-10 10:46:33	ga_ls8c_ard_3-2-1_104082_2022-12-10_final
2022-12-18 11:31:55	ga_ls8c_ard_3-2-1_112072_2022-12-18_final
2022-12-29 09:34:51	ga_ls8c_ard_3-2-1_093073_2022-12-29_final
2023-01-23 09:29:00	ga_ls8c_ard_3-2-1_092074_2023-01-22_final
2023-01-25 10:54:45	ga_ls8c_ard_3-2-1_106072_2023-01-25_final
2023-02-05 10:34:37	ga_ls8c_ard_3-2-1_103068_2023-02-05_final
2023-02-08 11:08:18	ga_ls8c_ard_3-2-1_108075_2023-02-08_final
2023-02-09 10:13:28	ga_ls8c_ard_3-2-1_099077_2023-02-09_final
2023-03-17 11:24:50	ga_ls8c_ard_3-2-1_111071_2023-03-17_final
2023-04-04 09:34:10	ga_ls8c_ard_3-2-1_093073_2023-04-04_final
2023-04-14 11:51:57	ga_ls8c_ard_3-2-1_115078_2023-04-14_final
2023-04-16 11:37:12	ga_ls8c_ard_3-2-1_113072_2023-04-16_final
2023-06-08 10:16:18	ga_ls8c_ard_3-2-1_100071_2023-06-08_final
2023-06-11 09:09:57	ga_ls8c_ard_3-2-1_089075_2023-06-10_final
2023-06-25 11:01:40	ga_ls8c_ard_3-2-1_107076_2023-06-25_final
2023-07-03 10:09:10	ga_ls8c_ard_3-2-1_099068_2023-07-03_final
2023-07-03 11:50:50	ga_ls8c_ard_3-2-1_115075_2023-07-03_final
2023-07-20 10:55:17	ga_ls8c_ard_3-2-1_106075_2023-07-20_final
2023-08-22 09:57:09	ga_ls8c_ard_3-2-1_097068_2023-08-22_final
2023-08-28 09:28:04	ga_ls8c_ard_3-2-1_091088_2023-08-27_final
2023-10-10 10:42:35	ga_ls8c_ard_3-2-1_104073_2023-10-10_final
2023-10-18 09:58:19	ga_ls8c_ard_3-2-1_096086_2023-10-18_final
2023-10-20 11:18:27	ga_ls8c_ard_3-2-1_110070_2023-10-20_final
2023-11-07 11:07:43	ga_ls8c_ard_3-2-1_108074_2023-11-07_final
2023-12-22 10:40:03	ga_ls8c_ard_3-2-1_103082_2023-12-22_final
2024-01-08 09:41:07	ga_ls8c_ard_3-2-1_094074_2024-01-08_final
2024-01-11 10:13:14	ga_ls8c_ard_3-2-1_099077_2024-01-11_final
2024-01-11 10:14:02	ga_ls8c_ard_3-2-1_099079_2024-01-11_final
2024-01-30 10:41:16	ga_ls8c_ard_3-2-1_104070_2024-01-30_final
2024-01-31 09:46:03	ga_ls8c_ard_3-2-1_095071_2024-01-31_final
2024-02-05 10:07:26	ga_ls8c_ard_3-2-1_098078_2024-02-05_final
2024-02-07 09:58:16	ga_ls8c_ard_3-2-1_096086_2024-02-07_final
2024-02-13 10:55:40	ga_ls8c_ard_3-2-1_106075_2024-02-13_final
2024-02-29 09:16:41	ga_ls8c_ard_3-2-1_090075_2024-02-28_final
2024-03-03 11:24:26	ga_ls8c_ard_3-2-1_111070_2024-03-03_final
2024-03-16 09:17:19	ga_ls8c_ard_3-2-1_090077_2024-03-15_final
2024-03-21 09:34:12	ga_ls8c_ard_3-2-1_093073_2024-03-21_final
2024-03-24 10:09:25	ga_ls8c_ard_3-2-1_098084_2024-03-24_final
2024-04-01 10:54:24	ga_ls8c_ard_3-2-1_106073_2024-04-01_final
2024-04-05 10:28:29	ga_ls8c_ard_3-2-1_102070_2024-04-05_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