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

92 results

Time (local)	Label
2013-07-22 09:31:25	ga_ls8c_ard_3-0-0_092076_2013-07-22_final
2013-08-13 10:30:52	ga_ls8c_ard_3-0-0_102070_2013-08-13_final
2013-11-10 10:25:37	ga_ls8c_ard_3-0-0_101073_2013-11-10_final
2013-11-21 10:11:45	ga_ls8c_ard_3-0-0_098085_2013-11-21_final
2014-02-18 09:58:47	ga_ls8c_ard_3-1-0_097070_2014-02-18_final
2014-09-01 10:29:22	ga_ls8c_ard_3-0-0_102071_2014-09-01_final
2014-09-27 09:26:22	ga_ls8c_ard_3-0-0_092068_2014-09-26_final
2014-10-24 10:49:37	ga_ls8c_ard_3-0-0_105075_2014-10-24_final
2015-01-13 09:57:49	ga_ls8c_ard_3-0-0_096085_2015-01-13_final
2015-01-13 11:31:31	ga_ls8c_ard_3-0-0_112072_2015-01-13_final
2015-01-18 10:09:56	ga_ls8c_ard_3-0-0_099069_2015-01-18_final
2015-01-31 11:23:51	ga_ls8c_ard_3-0-0_110084_2015-01-31_final
2015-02-15 10:34:03	ga_ls8c_ard_3-0-0_103068_2015-02-15_final
2015-02-26 10:19:05	ga_ls8c_ard_3-0-0_100077_2015-02-26_final
2015-04-19 11:29:39	ga_ls8c_ard_3-0-0_112069_2015-04-19_final
2015-05-23 11:22:57	ga_ls8c_ard_3-0-0_110084_2015-05-23_final
2015-07-10 11:18:13	ga_ls8c_ard_3-0-0_110071_2015-07-10_final
2015-07-14 10:57:07	ga_ls8c_ard_3-0-0_106080_2015-07-14_final
2015-07-22 11:44:13	ga_ls8c_ard_3-0-0_114074_2015-07-22_final
2015-09-28 11:17:07	ga_ls8c_ard_3-0-0_110067_2015-09-28_final
2016-02-03 09:45:27	ga_ls8c_ard_3-0-0_094085_2016-02-03_final
2016-02-07 10:52:24	ga_ls8c_ard_3-0-0_106067_2016-02-07_final
2016-02-26 09:45:30	ga_ls8c_ard_3-0-0_095070_2016-02-26_final
2016-03-22 11:16:53	ga_ls8c_ard_3-0-0_110067_2016-03-22_final
2016-04-10 10:09:33	ga_ls8c_ard_3-0-0_099069_2016-04-10_final
2016-04-13 10:45:13	ga_ls8c_ard_3-0-0_104081_2016-04-13_final
2016-04-16 09:33:37	ga_ls8c_ard_3-0-0_093072_2016-04-16_final
2016-04-18 09:24:26	ga_ls8c_ard_3-0-0_091080_2016-04-17_final
2016-05-22 10:49:00	ga_ls8c_ard_3-0-0_105075_2016-05-22_final
2016-07-06 11:57:16	ga_ls8c_ard_3-0-0_116075_2016-07-06_final
2016-08-26 09:12:16	ga_ls8c_ard_3-0-0_089079_2016-08-25_final
2017-03-21 10:03:48	ga_ls8c_ard_3-0-0_098070_2017-03-21_final
2017-04-14 10:52:39	ga_ls8c_ard_3-0-0_106069_2017-04-14_final
2017-05-21 09:39:08	ga_ls8c_ard_3-0-0_093086_2017-05-21_final
2017-05-23 09:24:00	ga_ls8c_ard_3-0-0_091079_2017-05-22_final
2017-07-22 11:29:34	ga_ls8c_ard_3-0-0_111083_2017-07-22_final
2017-09-06 09:58:52	ga_ls8c_ard_3-0-0_097072_2017-09-06_final
2017-10-31 11:44:56	ga_ls8c_ard_3-0-0_114074_2017-10-31_final
2017-12-02 10:03:54	ga_ls8c_ard_3-0-0_098069_2017-12-02_final
2017-12-25 10:10:31	ga_ls8c_ard_3-0-0_099070_2017-12-25_final
2017-12-29 11:23:28	ga_ls8c_ard_3-0-0_111067_2017-12-29_final
2018-01-10 10:14:01	ga_ls8c_ard_3-0-0_099079_2018-01-10_final
2018-03-03 11:25:46	ga_ls8c_ard_3-0-0_111074_2018-03-03_final
2018-03-15 11:52:22	ga_ls8c_ard_3-0-0_115079_2018-03-15_final
2018-07-23 09:56:23	ga_ls8c_ard_3-1-0_097068_2018-07-23_final
2018-12-30 11:40:43	ga_ls8c_ard_3-0-0_113080_2018-12-30_final
2019-02-14 11:52:09	ga_ls8c_ard_3-0-0_115078_2019-02-14_final
2019-04-29 09:12:43	ga_ls8c_ard_3-0-0_089082_2019-04-28_final
2019-05-01 10:33:40	ga_ls8c_ard_3-0-0_103068_2019-05-01_final
2019-05-29 11:04:39	ga_ls8c_ard_3-0-0_107083_2019-05-29_final
2019-05-31 10:48:43	ga_ls8c_ard_3-0-0_105074_2019-05-31_final
2019-06-21 09:33:42	ga_ls8c_ard_3-1-0_092087_2019-06-21_final
2019-07-16 11:02:06	ga_ls8c_ard_3-1-0_107076_2019-07-16_final
2019-07-18 09:10:04	ga_ls8c_ard_3-1-0_089074_2019-07-17_final
2019-08-17 09:22:13	ga_ls8c_ard_3-1-0_091073_2019-08-16_final
2019-08-29 11:24:17	ga_ls8c_ard_3-1-0_111069_2019-08-29_final
2019-09-22 10:36:09	ga_ls8c_ard_3-1-0_103072_2019-09-22_final
2019-10-15 10:46:24	ga_ls8c_ard_3-1-0_104082_2019-10-15_final
2019-10-24 10:36:14	ga_ls8c_ard_3-1-0_103072_2019-10-24_final
2019-10-25 11:20:42	ga_ls8c_ard_3-1-0_110075_2019-10-25_final
2019-11-26 09:40:56	ga_ls8c_ard_3-1-0_094073_2019-11-26_final
2020-02-27 09:10:30	ga_ls8c_ard_3-1-0_089075_2020-02-26_final
2020-02-29 10:35:49	ga_ls8c_ard_3-1-0_103072_2020-02-29_final
2020-03-03 09:31:24	ga_ls8c_ard_3-1-0_092081_2020-03-03_final
2020-09-05 10:03:56	ga_ls8c_ard_3-1-0_098069_2020-09-05_final
2020-09-07 11:29:40	ga_ls8c_ard_3-1-0_112067_2020-09-07_final
2021-01-12 09:11:31	ga_ls8c_ard_3-2-0_089077_2021-01-11_final
2021-01-26 09:28:36	ga_ls8c_ard_3-2-0_091089_2021-01-25_final
2021-06-01 11:16:16	ga_ls8c_ard_3-2-0_109081_2021-06-01_final
2021-06-24 09:40:06	ga_ls8c_ard_3-2-0_094072_2021-06-24_final
2021-07-17 11:25:36	ga_ls8c_ard_3-2-0_111073_2021-07-17_final
2021-07-26 11:19:31	ga_ls8c_ard_3-2-0_110073_2021-07-26_final
2021-09-27 10:36:10	ga_ls8c_ard_3-2-0_103072_2021-09-27_final
2021-11-27 10:02:54	ga_ls8c_ard_3-2-1_098066_2021-11-27_final
2022-02-15 10:05:25	ga_ls8c_ard_3-2-1_098073_2022-02-15_final
2022-04-23 10:39:14	ga_ls8c_ard_3-2-1_103081_2022-04-23_final
2022-05-21 11:01:42	ga_ls8c_ard_3-2-1_107075_2022-05-21_final
2022-07-21 10:31:33	ga_ls8c_ard_3-2-1_102076_2022-07-21_final
2022-08-27 10:49:56	ga_ls8c_ard_3-2-1_105075_2022-08-27_final
2022-09-06 11:24:39	ga_ls8c_ard_3-2-1_111069_2022-09-06_final
2022-09-12 09:11:08	ga_ls8c_ard_3-2-1_089075_2022-09-11_final
2023-01-21 09:40:57	ga_ls8c_ard_3-2-1_094073_2023-01-21_final
2023-02-07 10:23:27	ga_ls8c_ard_3-2-1_101071_2023-02-07_final
2023-03-28 09:32:28	ga_ls8c_ard_3-2-1_092084_2023-03-28_final
2023-04-07 10:07:00	ga_ls8c_ard_3-2-1_098078_2023-04-07_final
2023-05-26 09:09:50	ga_ls8c_ard_3-2-1_089075_2023-05-25_final
2023-08-08 11:24:21	ga_ls8c_ard_3-2-1_111070_2023-08-08_final
2023-10-29 11:17:32	ga_ls8c_ard_3-2-1_109083_2023-10-29_final
2023-11-18 10:49:37	ga_ls8c_ard_3-2-1_105075_2023-11-18_final
2024-02-27 11:11:09	ga_ls8c_ard_3-2-1_108083_2024-02-27_final
2024-03-18 10:45:49	ga_ls8c_ard_3-2-1_104082_2024-03-18_nrt
2024-03-24 10:09:25	ga_ls8c_ard_3-2-1_098084_2024-03-24_nrt

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