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
2013-10-20 11:48:50	ga_ls8c_ard_3-0-0_114080_2013-10-20_final
2013-12-02 11:31:42	ga_ls8c_ard_3-0-0_111084_2013-12-02_final
2014-05-16 11:46:09	ga_ls8c_ard_3-0-0_114079_2014-05-16_final
2014-08-11 11:51:15	ga_ls8c_ard_3-0-0_115075_2014-08-11_final
2015-02-21 11:41:51	ga_ls8c_ard_3-0-0_113083_2015-02-21_final
2015-03-23 11:50:45	ga_ls8c_ard_3-0-0_115075_2015-03-23_final
2015-05-03 11:43:49	ga_ls8c_ard_3-0-0_114074_2015-05-03_final
2015-05-26 11:51:28	ga_ls8c_ard_3-0-0_115078_2015-05-26_final
2015-06-13 11:41:18	ga_ls8c_ard_3-0-0_113083_2015-06-13_final
2015-06-27 11:51:21	ga_ls8c_ard_3-0-0_115077_2015-06-27_final
2015-09-15 11:51:08	ga_ls8c_ard_3-0-0_115075_2015-09-15_final
2015-10-05 11:28:54	ga_ls8c_ard_3-0-0_111081_2015-10-05_final
2016-01-07 11:38:31	ga_ls8c_ard_3-0-0_113074_2016-01-07_final
2016-04-19 11:45:23	ga_ls8c_ard_3-0-0_114077_2016-04-19_final
2016-10-14 11:32:35	ga_ls8c_ard_3-0-0_112074_2016-10-14_final
2017-07-22 11:29:10	ga_ls8c_ard_3-0-0_111082_2017-07-22_final
2018-01-05 11:32:24	ga_ls8c_ard_3-0-0_112074_2018-01-05_final
2018-04-18 11:40:31	ga_ls8c_ard_3-0-0_113081_2018-04-18_final
2018-07-14 11:43:47	ga_ls8c_ard_3-0-0_114074_2018-07-14_final
2018-10-11 11:38:16	ga_ls8c_ard_3-0-0_113074_2018-10-11_final
2019-03-13 11:34:16	ga_ls8c_ard_3-1-0_112080_2019-03-13_final
2019-08-13 11:30:12	ga_ls8c_ard_3-1-0_111084_2019-08-13_final
2019-12-15 10:09:49	ga_ls8c_ard_3-2-0_099068_2019-12-15_final
2019-12-19 11:24:46	ga_ls8c_ard_3-2-0_111070_2019-12-19_final
2020-04-30 11:44:30	ga_ls8c_ard_3-1-0_114075_2020-04-30_final
2020-06-12 11:27:18	ga_ls8c_ard_3-1-0_111078_2020-06-12_final
2020-09-21 11:47:18	ga_ls8c_ard_3-1-0_114080_2020-09-21_final
2020-11-24 10:10:04	ga_ls8c_ard_3-1-0_098084_2020-11-24_final
2021-01-17 11:08:30	ga_ls8c_ard_3-2-0_108076_2021-01-17_final
2021-01-19 09:22:50	ga_ls8c_ard_3-2-0_090090_2021-01-18_final
2021-01-20 10:00:30	ga_ls8c_ard_3-2-0_097076_2021-01-20_final
2021-01-26 09:23:49	ga_ls8c_ard_3-2-0_091077_2021-01-25_final
2021-02-20 10:54:50	ga_ls8c_ard_3-2-0_106073_2021-02-20_final
2021-04-16 09:22:10	ga_ls8c_ard_3-2-0_091074_2021-04-15_final
2021-04-24 10:10:44	ga_ls8c_ard_3-2-0_099072_2021-04-24_final
2021-04-28 09:51:34	ga_ls8c_ard_3-2-0_095086_2021-04-28_final
2021-05-04 09:15:37	ga_ls8c_ard_3-2-0_089089_2021-05-03_final
2021-06-19 09:21:32	ga_ls8c_ard_3-2-0_091072_2021-06-18_final
2021-07-30 09:21:56	ga_ls8c_ard_3-2-0_090088_2021-07-29_final
2021-08-08 09:13:25	ga_ls8c_ard_3-2-0_089082_2021-08-07_final
2021-08-27 11:19:18	ga_ls8c_ard_3-2-0_110072_2021-08-27_final
2021-09-06 10:21:57	ga_ls8c_ard_3-2-0_100083_2021-09-06_final
2021-09-12 09:46:29	ga_ls8c_ard_3-2-0_094087_2021-09-12_final
2021-09-15 10:14:12	ga_ls8c_ard_3-2-0_099079_2021-09-15_final
2021-09-16 09:16:59	ga_ls8c_ard_3-2-0_090075_2021-09-15_final
2021-10-01 11:52:22	ga_ls8c_ard_3-2-0_115077_2021-10-01_final
2021-10-21 09:52:25	ga_ls8c_ard_3-2-0_095086_2021-10-21_final
2021-10-27 10:47:03	ga_ls8c_ard_3-2-0_105068_2021-10-27_final
2021-11-18 10:09:27	ga_ls8c_ard_3-2-0_099067_2021-11-18_final
2021-12-21 10:53:31	ga_ls8c_ard_3-2-1_106069_2021-12-21_final
2021-12-30 09:10:46	ga_ls8c_ard_3-2-1_089075_2021-12-29_final
2022-01-11 11:13:34	ga_ls8c_ard_3-2-1_109073_2022-01-11_final
2022-01-16 09:52:48	ga_ls8c_ard_3-2-1_096072_2022-01-16_final
2022-01-24 09:06:54	ga_ls8c_ard_3-2-1_088081_2022-01-23_final
2022-02-23 09:18:43	ga_ls8c_ard_3-2-1_090080_2022-02-22_final
2022-04-24 11:18:06	ga_ls8c_ard_3-2-1_110070_2022-04-24_final
2022-06-02 09:50:00	ga_ls8c_ard_3-2-1_095081_2022-06-02_final
2022-07-16 10:14:08	ga_ls8c_ard_3-2-1_099079_2022-07-16_final
2022-07-31 09:29:04	ga_ls8c_ard_3-2-1_092074_2022-07-30_final
2022-08-14 09:44:44	ga_ls8c_ard_3-2-1_094082_2022-08-14_final
2022-08-22 10:28:36	ga_ls8c_ard_3-2-1_102068_2022-08-22_final
2022-09-22 11:26:20	ga_ls8c_ard_3-2-1_111073_2022-09-22_final
2022-09-27 10:05:36	ga_ls8c_ard_3-2-1_098072_2022-09-27_final
2022-10-17 11:22:50	ga_ls8c_ard_3-2-1_110080_2022-10-17_final
2022-10-18 10:23:38	ga_ls8c_ard_3-2-1_101071_2022-10-18_final
2022-10-20 10:15:41	ga_ls8c_ard_3-2-1_099082_2022-10-20_final
2022-10-22 11:43:02	ga_ls8c_ard_3-2-1_113084_2022-10-22_final
2022-11-06 10:56:37	ga_ls8c_ard_3-2-1_106076_2022-11-06_final
2023-01-01 10:09:45	ga_ls8c_ard_3-2-1_098083_2023-01-01_final
2023-01-07 09:29:28	ga_ls8c_ard_3-2-1_092075_2023-01-06_final
2023-01-07 11:06:21	ga_ls8c_ard_3-2-1_108070_2023-01-07_final
2023-01-26 09:58:20	ga_ls8c_ard_3-2-1_097070_2023-01-26_final
2023-02-01 09:27:15	ga_ls8c_ard_3-2-1_091085_2023-01-31_final
2023-02-24 09:33:08	ga_ls8c_ard_3-2-1_092085_2023-02-24_final
2023-04-01 10:45:00	ga_ls8c_ard_3-2-1_104080_2023-04-01_final
2023-04-02 11:25:03	ga_ls8c_ard_3-2-1_111072_2023-04-02_final
2023-06-16 09:33:19	ga_ls8c_ard_3-2-1_092087_2023-06-16_final
2023-06-16 09:33:43	ga_ls8c_ard_3-2-1_092088_2023-06-16_final
2023-06-19 11:40:43	ga_ls8c_ard_3-2-1_113081_2023-06-19_final
2023-06-28 09:54:32	ga_ls8c_ard_3-2-1_096078_2023-06-28_final
2023-07-22 10:40:09	ga_ls8c_ard_3-2-1_104068_2023-07-22_final
2023-07-29 09:11:56	ga_ls8c_ard_3-2-1_089079_2023-07-28_final
2023-07-29 09:12:44	ga_ls8c_ard_3-2-1_089081_2023-07-28_final
2023-08-01 09:39:40	ga_ls8c_ard_3-2-1_094071_2023-08-01_final
2023-08-17 11:19:03	ga_ls8c_ard_3-2-1_110072_2023-08-17_final
2023-08-21 10:52:46	ga_ls8c_ard_3-2-1_106068_2023-08-21_final
2023-09-11 09:34:52	ga_ls8c_ard_3-2-1_093074_2023-09-11_final
2023-09-24 09:06:49	ga_ls8c_ard_3-2-1_088081_2023-09-23_final
2023-09-29 11:00:17	ga_ls8c_ard_3-2-1_107071_2023-09-29_final
2023-10-06 11:07:15	ga_ls8c_ard_3-2-1_108073_2023-10-06_final
2023-11-24 10:15:22	ga_ls8c_ard_3-2-1_099082_2023-11-24_final
2023-12-21 09:54:48	ga_ls8c_ard_3-2-1_096077_2023-12-21_final
2024-01-22 09:58:15	ga_ls8c_ard_3-2-1_096086_2024-01-22_final
2024-02-01 10:31:43	ga_ls8c_ard_3-2-1_102077_2024-02-01_final
2024-02-04 11:02:15	ga_ls8c_ard_3-2-1_107076_2024-02-04_final
2024-02-19 10:18:34	ga_ls8c_ard_3-2-1_100075_2024-02-19_final
2024-02-20 09:22:57	ga_ls8c_ard_3-2-1_091075_2024-02-19_final
2024-02-20 09:26:56	ga_ls8c_ard_3-2-1_091085_2024-02-19_final
2024-03-14 09:28:30	ga_ls8c_ard_3-2-1_092074_2024-03-13_final
2024-03-17 11:37:27	ga_ls8c_ard_3-2-1_113072_2024-03-17_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