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

89 results

Time (local)	Label
2013-08-08 10:15:56	ga_ls8c_ard_3-0-0_099079_2013-08-08_final
2014-01-29 10:26:58	ga_ls8c_ard_3-0-0_101078_2014-01-29_final
2014-03-09 10:33:49	ga_ls8c_ard_3-0-0_102081_2014-03-09_final
2014-04-06 10:52:57	ga_ls8c_ard_3-0-0_106068_2014-04-06_final
2014-04-12 10:22:08	ga_ls8c_ard_3-0-0_100084_2014-04-12_final
2014-06-04 10:35:29	ga_ls8c_ard_3-0-0_103072_2014-06-04_final
2014-06-21 09:45:08	ga_ls8c_ard_3-0-0_094085_2014-06-21_final
2014-08-01 11:13:42	ga_ls8c_ard_3-0-0_109074_2014-08-01_final
2014-09-17 10:33:23	ga_ls8c_ard_3-0-0_102081_2014-09-17_final
2014-10-15 09:17:44	ga_ls8c_ard_3-0-0_090077_2014-10-14_final
2014-12-22 10:31:47	ga_ls8c_ard_3-0-0_102077_2014-12-22_final
2015-01-17 09:28:40	ga_ls8c_ard_3-0-0_092074_2015-01-16_final
2015-02-23 11:25:30	ga_ls8c_ard_3-0-0_111073_2015-02-23_final
2015-03-16 10:04:08	ga_ls8c_ard_3-1-0_098071_2015-03-16_final
2015-05-03 10:06:08	ga_ls8c_ard_3-0-0_098077_2015-05-03_final
2015-07-03 09:31:28	ga_ls8c_ard_3-0-0_093067_2015-07-03_final
2015-07-22 11:47:00	ga_ls8c_ard_3-0-0_114081_2015-07-22_final
2015-09-22 10:22:04	ga_ls8c_ard_3-0-0_100084_2015-09-22_final
2015-11-28 10:46:22	ga_ls8c_ard_3-0-0_105067_2015-11-28_final
2015-12-25 10:28:12	ga_ls8c_ard_3-0-0_102068_2015-12-25_final
2016-06-29 10:13:45	ga_ls8c_ard_3-0-0_099079_2016-06-29_final
2016-10-10 10:20:24	ga_ls8c_ard_3-0-0_100079_2016-10-10_final
2016-10-14 09:52:30	ga_ls8c_ard_3-0-0_096071_2016-10-14_final
2016-10-27 09:22:50	ga_ls8c_ard_3-0-0_091074_2016-10-26_final
2016-11-24 09:44:45	ga_ls8c_ard_3-0-0_095067_2016-11-24_final
2017-02-19 09:57:17	ga_ls8c_ard_3-0-0_096084_2017-02-19_final
2017-02-25 09:21:46	ga_ls8c_ard_3-0-0_090088_2017-02-24_final
2017-04-27 10:24:48	ga_ls8c_ard_3-0-0_101077_2017-04-27_final
2017-05-09 09:15:28	ga_ls8c_ard_3-0-0_089089_2017-05-08_final
2017-06-11 11:31:09	ga_ls8c_ard_3-0-0_112072_2017-06-11_final
2017-08-17 10:23:32	ga_ls8c_ard_3-1-0_101072_2017-08-17_final
2017-08-22 09:06:49	ga_ls8c_ard_3-1-0_088081_2017-08-21_final
2017-09-13 10:03:27	ga_ls8c_ard_3-0-0_098068_2017-09-13_final
2017-12-22 09:41:13	ga_ls8c_ard_3-0-0_094074_2017-12-22_final
2018-02-04 10:07:36	ga_ls8c_ard_3-0-0_098079_2018-02-04_final
2018-02-04 10:09:36	ga_ls8c_ard_3-0-0_098084_2018-02-04_final
2018-03-20 10:28:24	ga_ls8c_ard_3-0-0_102070_2018-03-20_final
2018-06-04 10:51:58	ga_ls8c_ard_3-0-0_106069_2018-06-04_final
2018-07-14 10:03:18	ga_ls8c_ard_3-0-0_098070_2018-07-14_final
2018-09-22 11:05:36	ga_ls8c_ard_3-0-0_108070_2018-09-22_final
2018-11-04 09:10:26	ga_ls8c_ard_3-0-0_089075_2018-11-03_final
2018-12-14 11:38:19	ga_ls8c_ard_3-0-0_113074_2018-12-14_final
2019-07-19 09:58:07	ga_ls8c_ard_3-1-0_096086_2019-07-19_final
2019-09-07 09:40:03	ga_ls8c_ard_3-1-0_094071_2019-09-07_final
2019-10-15 09:06:43	ga_ls8c_ard_3-1-0_088080_2019-10-14_final
2019-11-01 09:46:00	ga_ls8c_ard_3-1-0_095070_2019-11-01_final
2019-12-11 10:38:09	ga_ls8c_ard_3-1-0_103077_2019-12-11_final
2019-12-31 10:13:45	ga_ls8c_ard_3-1-0_099078_2019-12-31_final
2020-02-21 09:46:25	ga_ls8c_ard_3-1-0_095072_2020-02-21_final
2020-02-25 09:23:40	ga_ls8c_ard_3-1-0_091077_2020-02-24_final
2020-04-04 09:29:32	ga_ls8c_ard_3-1-0_092077_2020-04-03_final
2020-05-31 09:26:21	ga_ls8c_ard_3-1-0_091085_2020-05-30_final
2020-06-09 09:21:52	ga_ls8c_ard_3-1-0_090089_2020-06-08_final
2020-06-23 09:33:58	ga_ls8c_ard_3-1-0_092088_2020-06-23_final
2020-07-09 09:34:05	ga_ls8c_ard_3-1-0_092088_2020-07-09_final
2020-09-11 09:29:41	ga_ls8c_ard_3-1-0_092076_2020-09-10_final
2020-09-11 09:34:04	ga_ls8c_ard_3-1-0_092087_2020-09-11_final
2020-09-26 10:23:23	ga_ls8c_ard_3-1-0_101071_2020-09-26_final
2020-10-02 09:46:43	ga_ls8c_ard_3-1-0_095072_2020-10-02_final
2020-10-16 10:04:17	ga_ls8c_ard_3-1-0_097085_2020-10-16_final
2020-11-23 11:01:41	ga_ls8c_ard_3-1-0_107074_2020-11-23_final
2021-01-10 11:00:47	ga_ls8c_ard_3-2-0_107072_2021-01-10_final
2021-01-31 09:41:09	ga_ls8c_ard_3-2-0_094074_2021-01-31_final
2021-04-18 09:11:23	ga_ls8c_ard_3-2-0_089078_2021-04-17_final
2021-05-07 11:19:24	ga_ls8c_ard_3-2-0_110074_2021-05-07_final
2021-05-24 10:27:33	ga_ls8c_ard_3-2-0_101083_2021-05-24_final
2021-05-30 11:25:25	ga_ls8c_ard_3-2-0_111073_2021-05-30_final
2021-07-02 10:32:45	ga_ls8c_ard_3-2-0_102080_2021-07-02_final
2021-07-17 09:51:55	ga_ls8c_ard_3-2-0_095086_2021-07-17_final
2021-08-03 10:30:32	ga_ls8c_ard_3-2-0_102074_2021-08-03_final
2021-09-03 11:25:55	ga_ls8c_ard_3-2-0_111073_2021-09-03_final
2021-09-24 10:03:39	ga_ls8c_ard_3-2-0_098068_2021-09-24_final
2021-10-10 10:08:08	ga_ls8c_ard_3-2-0_098079_2021-10-10_final
2021-10-24 10:22:32	ga_ls8c_ard_3-2-0_100084_2021-10-24_final
2022-05-26 09:40:09	ga_ls8c_ard_3-2-1_094072_2022-05-26_final
2022-07-24 09:22:25	ga_ls8c_ard_3-2-1_091073_2022-07-23_final
2022-09-22 11:29:32	ga_ls8c_ard_3-2-1_111081_2022-09-22_final
2022-10-03 11:11:46	ga_ls8c_ard_3-2-1_108083_2022-10-03_final
2023-02-25 11:52:27	ga_ls8c_ard_3-2-1_115078_2023-02-25_final
2023-02-26 10:54:50	ga_ls8c_ard_3-2-1_106073_2023-02-26_final
2023-03-26 09:39:39	ga_ls8c_ard_3-2-1_094071_2023-03-26_final
2023-04-02 11:25:03	ga_ls8c_ard_3-2-1_111072_2023-04-02_final
2023-04-29 09:33:21	ga_ls8c_ard_3-2-1_092087_2023-04-29_final
2023-07-02 09:28:17	ga_ls8c_ard_3-2-1_092074_2023-07-01_final
2023-09-21 10:13:59	ga_ls8c_ard_3-2-1_099079_2023-09-21_final
2023-11-12 09:46:33	ga_ls8c_ard_3-2-1_095072_2023-11-12_final
2023-12-30 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-12-30_final
2024-02-23 09:57:49	ga_ls8c_ard_3-2-1_096085_2024-02-23_final
2024-03-11 10:36:30	ga_ls8c_ard_3-2-1_103074_2024-03-11_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