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
2013-04-01 10:08:03	ga_ls8c_ard_3-0-0_099068_2013-04-01_final
2013-06-14 10:09:19	ga_ls8c_ard_3-0-0_098078_2013-06-14_final
2013-09-29 09:48:40	ga_ls8c_ard_3-0-0_095073_2013-09-29_final
2013-10-27 11:54:32	ga_ls8c_ard_3-0-0_115079_2013-10-27_final
2013-11-17 10:34:56	ga_ls8c_ard_3-0-0_102081_2013-11-17_final
2013-12-20 11:15:11	ga_ls8c_ard_3-0-0_109074_2013-12-20_final
2014-01-13 10:29:05	ga_ls8c_ard_3-0-0_101083_2014-01-13_final
2014-03-20 10:14:45	ga_ls8c_ard_3-0-0_099080_2014-03-20_final
2014-03-29 10:09:58	ga_ls8c_ard_3-0-0_098084_2014-03-29_final
2014-12-01 10:10:55	ga_ls8c_ard_3-0-0_099071_2014-12-01_final
2014-12-30 11:19:09	ga_ls8c_ard_3-0-0_110072_2014-12-30_final
2015-01-17 11:05:34	ga_ls8c_ard_3-0-0_108069_2015-01-17_final
2015-02-22 10:43:02	ga_ls8c_ard_3-0-0_104075_2015-02-22_final
2015-03-14 11:56:59	ga_ls8c_ard_3-0-0_116075_2015-03-14_final
2015-03-23 10:08:41	ga_ls8c_ard_3-0-0_099067_2015-03-23_final
2015-07-10 11:18:13	ga_ls8c_ard_3-0-0_110071_2015-07-10_final
2015-08-29 11:10:08	ga_ls8c_ard_3-0-0_108081_2015-08-29_final
2015-11-22 11:28:38	ga_ls8c_ard_3-0-0_111080_2015-11-22_final
2015-12-08 09:51:43	ga_ls8c_ard_3-0-0_095085_2015-12-08_final
2015-12-27 10:19:26	ga_ls8c_ard_3-0-0_100077_2015-12-27_final
2016-01-05 10:10:00	ga_ls8c_ard_3-0-0_099069_2016-01-05_final
2016-03-04 11:33:45	ga_ls8c_ard_3-0-0_112078_2016-03-04_final
2016-04-14 11:29:16	ga_ls8c_ard_3-0-0_111083_2016-04-14_final
2016-05-15 09:06:17	ga_ls8c_ard_3-1-0_088081_2016-05-14_final
2016-08-09 10:08:10	ga_ls8c_ard_3-0-0_098080_2016-08-09_final
2016-08-13 11:19:33	ga_ls8c_ard_3-0-0_110073_2016-08-13_final
2016-09-14 09:40:03	ga_ls8c_ard_3-0-0_094071_2016-09-14_final
2016-09-29 10:40:04	ga_ls8c_ard_3-0-0_103082_2016-09-29_final
2016-12-14 11:01:38	ga_ls8c_ard_3-0-0_107074_2016-12-14_final
2017-05-19 11:23:58	ga_ls8c_ard_3-0-0_111070_2017-05-19_final
2017-07-30 10:39:23	ga_ls8c_ard_3-0-0_103081_2017-07-30_final
2017-08-14 11:29:31	ga_ls8c_ard_3-0-0_112067_2017-08-14_final
2017-09-30 10:49:14	ga_ls8c_ard_3-0-0_105074_2017-09-30_final
2017-11-07 11:53:05	ga_ls8c_ard_3-0-0_115079_2017-11-07_final
2018-01-15 10:28:55	ga_ls8c_ard_3-0-0_102070_2018-01-15_final
2018-05-06 09:45:55	ga_ls8c_ard_3-0-0_095073_2018-05-06_final
2018-08-20 10:25:21	ga_ls8c_ard_3-0-0_101078_2018-08-20_final
2018-09-29 11:13:27	ga_ls8c_ard_3-0-0_109074_2018-09-29_final
2018-10-20 11:31:20	ga_ls8c_ard_3-0-0_112072_2018-10-20_final
2019-01-17 09:45:50	ga_ls8c_ard_3-0-0_095071_2019-01-17_final
2019-01-18 10:28:41	ga_ls8c_ard_3-0-0_102070_2019-01-18_final
2019-02-07 11:41:36	ga_ls8c_ard_3-0-0_114067_2019-02-07_final
2019-03-02 11:52:53	ga_ls8c_ard_3-0-0_115080_2019-03-02_final
2019-07-11 09:07:04	ga_ls8c_ard_3-1-0_088082_2019-07-10_final
2020-02-05 11:26:09	ga_ls8c_ard_3-1-0_111074_2020-02-05_final
2020-04-25 09:46:19	ga_ls8c_ard_3-1-0_095073_2020-04-25_final
2020-05-16 10:09:09	ga_ls8c_ard_3-1-0_098084_2020-05-16_final
2020-06-08 10:15:29	ga_ls8c_ard_3-1-0_099084_2020-06-08_final
2020-06-21 11:20:00	ga_ls8c_ard_3-1-0_110075_2020-06-21_final
2020-07-02 12:37:15	ga_ls8c_ard_3-2-1_123067_2020-07-02_final
2020-08-21 10:47:04	ga_ls8c_ard_3-1-0_105069_2020-08-21_final
2020-09-16 11:25:56	ga_ls8c_ard_3-1-0_111073_2020-09-16_final
2020-10-01 09:06:39	ga_ls8c_ard_3-1-0_088080_2020-09-30_final
2021-01-02 10:13:24	ga_ls8c_ard_3-2-0_099077_2021-01-02_final
2021-01-11 10:07:09	ga_ls8c_ard_3-2-0_098077_2021-01-11_final
2021-03-13 09:34:19	ga_ls8c_ard_3-2-0_093073_2021-03-13_final
2021-04-12 11:27:48	ga_ls8c_ard_3-2-0_111079_2021-04-12_final
2021-04-28 11:25:16	ga_ls8c_ard_3-2-0_111073_2021-04-28_final
2021-07-07 09:15:37	ga_ls8c_ard_3-2-0_089088_2021-07-06_final
2021-07-29 11:51:14	ga_ls8c_ard_3-2-0_115075_2021-07-29_final
2021-08-17 09:07:17	ga_ls8c_ard_3-2-0_088082_2021-08-16_final
2021-08-22 09:22:16	ga_ls8c_ard_3-2-0_091073_2021-08-21_final
2021-08-24 09:11:30	ga_ls8c_ard_3-2-0_089077_2021-08-23_final
2021-09-03 09:44:39	ga_ls8c_ard_3-2-0_095067_2021-09-03_final
2021-09-08 11:46:05	ga_ls8c_ard_3-2-0_114077_2021-09-08_final
2021-09-22 10:19:12	ga_ls8c_ard_3-2-0_100076_2021-09-22_final
2021-09-26 11:30:59	ga_ls8c_ard_3-2-0_112070_2021-09-26_final
2021-10-10 10:04:57	ga_ls8c_ard_3-2-0_098071_2021-10-10_final
2021-10-13 10:36:16	ga_ls8c_ard_3-2-0_103072_2021-10-13_final
2021-10-29 10:36:17	ga_ls8c_ard_3-2-0_103072_2021-10-29_final
2021-11-12 09:11:41	ga_ls8c_ard_3-2-0_089077_2021-11-11_final
2021-12-11 10:20:03	ga_ls8c_ard_3-2-1_100078_2021-12-11_final
2022-01-16 09:52:48	ga_ls8c_ard_3-2-1_096072_2022-01-16_final
2022-02-05 11:05:41	ga_ls8c_ard_3-2-1_108069_2022-02-05_final
2022-03-02 09:27:41	ga_ls8c_ard_3-2-1_091087_2022-03-01_final
2022-03-18 09:24:47	ga_ls8c_ard_3-2-1_091080_2022-03-17_final
2022-04-10 09:34:04	ga_ls8c_ard_3-2-1_092088_2022-04-10_final
2022-04-10 09:34:27	ga_ls8c_ard_3-2-1_092089_2022-04-10_final
2022-05-01 09:47:23	ga_ls8c_ard_3-2-1_095075_2022-05-01_final
2022-05-29 10:10:16	ga_ls8c_ard_3-2-1_099070_2022-05-29_final
2022-05-31 09:57:33	ga_ls8c_ard_3-2-1_097069_2022-05-31_final
2022-08-04 09:07:35	ga_ls8c_ard_3-2-1_088082_2022-08-03_final
2022-08-25 09:29:00	ga_ls8c_ard_3-2-1_091089_2022-08-24_final
2022-11-05 10:09:22	ga_ls8c_ard_3-2-1_099066_2022-11-05_final
2022-11-06 10:53:26	ga_ls8c_ard_3-2-1_106068_2022-11-06_final
2023-01-03 09:53:48	ga_ls8c_ard_3-2-1_096074_2023-01-03_final
2023-03-15 09:57:08	ga_ls8c_ard_3-2-1_097068_2023-03-15_final
2023-03-17 09:46:21	ga_ls8c_ard_3-2-1_095072_2023-03-17_final
2023-04-04 09:34:58	ga_ls8c_ard_3-2-1_093075_2023-04-04_final
2023-05-20 09:51:16	ga_ls8c_ard_3-2-1_095086_2023-05-20_final
2023-05-31 09:27:58	ga_ls8c_ard_3-2-1_092074_2023-05-30_final
2023-06-10 10:01:58	ga_ls8c_ard_3-2-1_098066_2023-06-10_final
2023-10-17 09:13:28	ga_ls8c_ard_3-2-1_089082_2023-10-16_final
2023-11-03 11:32:28	ga_ls8c_ard_3-2-1_112074_2023-11-03_final
2023-11-18 09:10:44	ga_ls8c_ard_3-2-1_089075_2023-11-17_final
2024-01-21 10:47:06	ga_ls8c_ard_3-2-1_105069_2024-01-21_final
2024-01-22 09:52:39	ga_ls8c_ard_3-2-1_096072_2024-01-22_final
2024-02-01 10:28:56	ga_ls8c_ard_3-2-1_102070_2024-02-01_final
2024-02-05 11:47:31	ga_ls8c_ard_3-2-1_114081_2024-02-05_final
2024-02-11 09:34:21	ga_ls8c_ard_3-2-1_092088_2024-02-11_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years