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
2014-07-26 11:52:18	ga_ls8c_ard_3-0-0_115078_2014-07-26_final
2015-08-30 11:51:24	ga_ls8c_ard_3-0-0_115076_2015-08-30_final
2016-09-08 11:58:24	ga_ls8c_ard_3-0-0_116077_2016-09-08_final
2016-10-19 11:52:45	ga_ls8c_ard_3-0-0_115078_2016-10-19_final
2018-09-23 11:52:52	ga_ls8c_ard_3-0-0_115080_2018-09-23_final
2019-12-15 10:09:49	ga_ls8c_ard_3-2-0_099068_2019-12-15_final
2020-08-12 09:19:52	ga_ls8c_ard_3-1-0_090083_2020-08-11_final
2020-12-25 11:02:29	ga_ls8c_ard_3-2-0_107076_2020-12-25_final
2021-01-06 11:25:08	ga_ls8c_ard_3-2-0_111071_2021-01-06_final
2021-01-24 09:39:22	ga_ls8c_ard_3-2-0_093085_2021-01-24_final
2021-01-28 10:47:57	ga_ls8c_ard_3-2-0_105071_2021-01-28_final
2021-01-30 10:34:47	ga_ls8c_ard_3-2-0_103069_2021-01-30_final
2021-02-04 09:22:24	ga_ls8c_ard_3-2-0_090089_2021-02-03_final
2021-02-06 09:06:51	ga_ls8c_ard_3-2-0_088081_2021-02-05_final
2021-02-15 10:35:55	ga_ls8c_ard_3-2-0_103072_2021-02-15_final
2021-03-09 09:57:29	ga_ls8c_ard_3-2-0_097069_2021-03-09_final
2021-03-20 11:20:31	ga_ls8c_ard_3-2-0_110076_2021-03-20_final
2021-03-24 09:17:42	ga_ls8c_ard_3-2-0_090078_2021-03-23_final
2021-04-28 11:22:52	ga_ls8c_ard_3-2-0_111067_2021-04-28_final
2021-05-03 10:02:52	ga_ls8c_ard_3-2-0_098068_2021-05-03_final
2021-05-11 09:17:26	ga_ls8c_ard_3-2-0_090078_2021-05-10_final
2021-05-22 10:33:54	ga_ls8c_ard_3-2-0_103068_2021-05-22_final
2021-06-26 11:07:26	ga_ls8c_ard_3-2-0_108074_2021-06-26_final
2021-07-03 09:34:20	ga_ls8c_ard_3-2-0_093073_2021-07-03_final
2021-07-05 09:27:10	ga_ls8c_ard_3-2-0_091086_2021-07-04_final
2021-07-30 10:52:50	ga_ls8c_ard_3-2-0_106068_2021-07-30_final
2021-08-13 11:06:05	ga_ls8c_ard_3-2-0_108070_2021-08-13_final
2021-08-18 09:52:33	ga_ls8c_ard_3-2-0_095087_2021-08-18_final
2021-09-14 09:26:33	ga_ls8c_ard_3-2-0_092068_2021-09-13_final
2021-09-14 09:34:56	ga_ls8c_ard_3-2-0_092089_2021-09-14_final
2021-09-15 10:10:37	ga_ls8c_ard_3-2-0_099070_2021-09-15_final
2022-10-19 11:06:30	ga_ls8c_ard_3-2-1_108070_2022-10-19_final
2022-11-02 11:20:57	ga_ls8c_ard_3-2-1_110075_2022-11-02_final
2022-11-13 11:00:45	ga_ls8c_ard_3-2-1_107071_2022-11-13_final
2022-11-23 09:58:07	ga_ls8c_ard_3-2-1_097069_2022-11-23_final
2022-11-28 10:20:16	ga_ls8c_ard_3-2-1_100078_2022-11-28_final
2022-11-29 09:22:39	ga_ls8c_ard_3-2-1_091073_2022-11-28_final
2022-12-07 10:14:04	ga_ls8c_ard_3-2-1_099078_2022-12-07_final
2022-12-08 09:22:26	ga_ls8c_ard_3-2-1_090088_2022-12-07_final
2022-12-11 09:47:44	ga_ls8c_ard_3-2-1_095074_2022-12-11_final
2022-12-11 11:24:37	ga_ls8c_ard_3-2-1_111069_2022-12-11_final
2022-12-23 10:09:06	ga_ls8c_ard_3-2-1_099066_2022-12-23_final
2022-12-31 09:28:29	ga_ls8c_ard_3-2-1_091088_2022-12-30_final
2023-01-12 11:26:27	ga_ls8c_ard_3-2-1_111074_2023-01-12_final
2023-01-18 10:49:41	ga_ls8c_ard_3-2-1_105075_2023-01-18_final
2023-01-22 10:23:25	ga_ls8c_ard_3-2-1_101071_2023-01-22_final
2023-02-20 11:31:38	ga_ls8c_ard_3-2-1_112072_2023-02-20_final
2023-02-24 11:11:36	ga_ls8c_ard_3-2-1_108084_2023-02-24_final
2023-03-22 10:09:12	ga_ls8c_ard_3-2-1_098083_2023-03-22_final
2023-03-22 11:44:53	ga_ls8c_ard_3-2-1_114075_2023-03-22_final
2023-03-26 09:40:51	ga_ls8c_ard_3-2-1_094074_2023-03-26_final
2023-04-12 10:27:02	ga_ls8c_ard_3-2-1_101082_2023-04-12_final
2023-04-16 09:56:43	ga_ls8c_ard_3-2-1_097068_2023-04-16_final
2023-04-18 11:24:49	ga_ls8c_ard_3-2-1_111072_2023-04-18_final
2023-04-24 09:12:02	ga_ls8c_ard_3-2-1_089080_2023-04-23_final
2023-05-04 09:45:27	ga_ls8c_ard_3-2-1_095071_2023-05-04_final
2023-05-08 09:27:27	ga_ls8c_ard_3-2-1_091088_2023-05-07_final
2023-05-08 09:27:51	ga_ls8c_ard_3-2-1_091089_2023-05-07_final
2023-05-13 11:19:12	ga_ls8c_ard_3-2-1_110074_2023-05-13_final
2023-05-26 10:45:55	ga_ls8c_ard_3-2-1_105068_2023-05-26_final
2023-06-06 10:27:26	ga_ls8c_ard_3-2-1_102068_2023-06-06_final
2023-06-06 10:29:26	ga_ls8c_ard_3-2-1_102073_2023-06-06_final
2023-06-10 11:46:50	ga_ls8c_ard_3-2-1_114081_2023-06-10_final
2023-06-28 11:31:50	ga_ls8c_ard_3-2-1_112074_2023-06-28_final
2023-07-11 09:26:58	ga_ls8c_ard_3-2-1_091086_2023-07-10_final
2023-07-12 10:07:26	ga_ls8c_ard_3-2-1_098079_2023-07-12_final
2023-07-22 09:06:51	ga_ls8c_ard_3-2-1_088082_2023-07-21_final
2023-07-24 10:29:49	ga_ls8c_ard_3-2-1_102073_2023-07-24_final
2023-07-29 10:46:25	ga_ls8c_ard_3-2-1_105068_2023-07-29_final
2023-08-01 11:19:21	ga_ls8c_ard_3-2-1_110073_2023-08-01_final
2023-08-14 09:12:01	ga_ls8c_ard_3-2-1_089079_2023-08-13_final
2023-08-20 10:09:06	ga_ls8c_ard_3-2-1_099067_2023-08-20_final
2023-09-04 11:05:56	ga_ls8c_ard_3-2-1_108070_2023-09-04_final
2023-09-18 11:19:58	ga_ls8c_ard_3-2-1_110074_2023-09-18_final
2023-09-20 11:06:25	ga_ls8c_ard_3-2-1_108071_2023-09-20_final
2023-09-20 11:07:37	ga_ls8c_ard_3-2-1_108074_2023-09-20_final
2023-09-21 11:52:28	ga_ls8c_ard_3-2-1_115078_2023-09-21_final
2023-09-22 09:21:57	ga_ls8c_ard_3-2-1_090088_2023-09-21_final
2023-10-09 10:01:42	ga_ls8c_ard_3-2-1_097079_2023-10-09_final
2023-10-23 10:10:30	ga_ls8c_ard_3-2-1_099070_2023-10-23_final
2023-10-24 10:56:10	ga_ls8c_ard_3-2-1_106076_2023-10-24_final
2023-11-19 09:58:24	ga_ls8c_ard_3-2-1_096086_2023-11-19_final
2023-11-24 11:52:39	ga_ls8c_ard_3-2-1_115078_2023-11-24_final
2023-11-26 09:57:49	ga_ls8c_ard_3-2-1_097069_2023-11-26_final
2023-12-02 11:00:21	ga_ls8c_ard_3-2-1_107071_2023-12-02_final
2023-12-11 10:53:20	ga_ls8c_ard_3-2-1_106069_2023-12-11_final
2023-12-27 10:56:10	ga_ls8c_ard_3-2-1_106076_2023-12-27_final
2024-01-04 10:03:02	ga_ls8c_ard_3-2-1_098067_2024-01-04_final
2024-01-05 10:49:28	ga_ls8c_ard_3-2-1_105075_2024-01-05_final
2024-01-12 10:53:19	ga_ls8c_ard_3-2-1_106069_2024-01-12_final
2024-01-29 09:58:00	ga_ls8c_ard_3-2-1_097070_2024-01-29_final
2024-02-06 10:46:43	ga_ls8c_ard_3-2-1_105068_2024-02-06_final
2024-02-13 09:21:11	ga_ls8c_ard_3-2-1_090086_2024-02-12_final
2024-02-18 09:34:07	ga_ls8c_ard_3-2-1_093072_2024-02-18_final
2024-02-19 10:19:46	ga_ls8c_ard_3-2-1_100078_2024-02-19_final
2024-02-22 09:16:10	ga_ls8c_ard_3-2-1_089089_2024-02-21_final
2024-02-28 11:51:12	ga_ls8c_ard_3-2-1_115075_2024-02-28_final
2024-02-29 10:55:10	ga_ls8c_ard_3-2-1_106074_2024-02-29_final
2024-04-06 11:12:08	ga_ls8c_ard_3-2-1_109071_2024-04-06_final
2024-04-08 09:26:52	ga_ls8c_ard_3-2-1_091086_2024-04-07_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