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
2013-06-05 10:13:10	ga_ls8c_ard_3-0-0_099072_2013-06-05_final
2013-12-02 09:48:26	ga_ls8c_ard_3-0-0_095073_2013-12-02_final
2013-12-08 10:50:37	ga_ls8c_ard_3-0-0_105074_2013-12-08_final
2013-12-22 11:02:49	ga_ls8c_ard_3-0-0_107074_2013-12-22_final
2014-01-24 10:10:52	ga_ls8c_ard_3-0-0_098084_2014-01-24_final
2014-01-31 11:53:53	ga_ls8c_ard_3-0-0_115079_2014-01-31_final
2014-06-10 09:56:51	ga_ls8c_ard_3-0-0_097068_2014-06-10_final
2014-12-08 10:19:26	ga_ls8c_ard_3-0-0_100077_2014-12-08_final
2015-04-25 10:52:07	ga_ls8c_ard_3-0-0_106068_2015-04-25_final
2015-05-23 11:16:58	ga_ls8c_ard_3-0-0_110069_2015-05-23_final
2015-06-14 09:06:25	ga_ls8c_ard_3-0-0_088082_2015-06-13_final
2015-10-31 10:23:12	ga_ls8c_ard_3-0-0_101071_2015-10-31_final
2015-11-29 09:52:20	ga_ls8c_ard_3-0-0_096071_2015-11-29_final
2015-12-04 10:11:16	ga_ls8c_ard_3-0-0_099072_2015-12-04_final
2016-01-21 10:15:36	ga_ls8c_ard_3-0-0_099083_2016-01-21_final
2016-03-18 10:07:09	ga_ls8c_ard_3-0-0_098078_2016-03-18_final
2016-04-07 11:19:56	ga_ls8c_ard_3-0-0_110075_2016-04-07_final
2016-04-17 10:19:16	ga_ls8c_ard_3-0-0_100078_2016-04-17_final
2016-05-05 11:41:27	ga_ls8c_ard_3-0-0_114067_2016-05-05_final
2016-11-24 11:24:50	ga_ls8c_ard_3-0-0_111070_2016-11-24_final
2016-12-15 10:07:13	ga_ls8c_ard_3-0-0_098077_2016-12-15_final
2016-12-24 09:57:48	ga_ls8c_ard_3-0-0_097069_2016-12-24_final
2017-01-01 10:47:13	ga_ls8c_ard_3-0-0_105069_2017-01-01_final
2017-01-27 09:46:29	ga_ls8c_ard_3-0-0_095072_2017-01-27_final
2017-03-01 10:27:55	ga_ls8c_ard_3-0-0_102068_2017-03-01_final
2017-06-15 11:07:39	ga_ls8c_ard_3-0-0_108075_2017-06-15_final
2017-06-16 10:13:38	ga_ls8c_ard_3-0-0_099079_2017-06-16_final
2017-11-13 09:40:41	ga_ls8c_ard_3-0-0_093088_2017-11-13_final
2017-11-22 11:07:45	ga_ls8c_ard_3-0-0_108074_2017-11-22_final
2017-11-23 10:10:07	ga_ls8c_ard_3-0-0_099069_2017-11-23_final
2017-12-27 09:56:57	ga_ls8c_ard_3-0-0_097067_2017-12-27_final
2018-01-10 10:11:13	ga_ls8c_ard_3-0-0_099072_2018-01-10_final
2018-02-01 09:40:19	ga_ls8c_ard_3-0-0_093088_2018-02-01_final
2018-08-15 10:08:46	ga_ls8c_ard_3-0-0_098083_2018-08-15_final
2019-03-01 11:07:38	ga_ls8c_ard_3-0-0_108075_2019-03-01_final
2019-04-01 10:27:01	ga_ls8c_ard_3-1-0_101082_2019-04-01_final
2019-05-05 10:13:46	ga_ls8c_ard_3-0-0_099080_2019-05-05_final
2019-07-09 10:52:19	ga_ls8c_ard_3-1-0_106067_2019-07-09_final
2019-07-12 11:24:02	ga_ls8c_ard_3-1-0_111069_2019-07-12_final
2019-08-20 11:30:02	ga_ls8c_ard_3-1-0_112068_2019-08-20_final
2019-11-27 10:26:12	ga_ls8c_ard_3-1-0_101078_2019-11-27_final
2020-01-16 10:10:06	ga_ls8c_ard_3-1-0_099069_2020-01-16_final
2020-01-20 09:46:57	ga_ls8c_ard_3-1-0_095073_2020-01-20_final
2020-02-15 10:25:31	ga_ls8c_ard_3-1-0_101077_2020-02-15_final
2020-03-10 09:34:44	ga_ls8c_ard_3-1-0_093074_2020-03-10_final
2020-04-02 11:19:59	ga_ls8c_ard_3-1-0_110075_2020-04-02_final
2020-04-09 09:44:03	ga_ls8c_ard_3-1-0_095067_2020-04-09_final
2020-06-10 09:57:10	ga_ls8c_ard_3-1-0_097069_2020-06-10_final
2020-06-12 11:24:06	ga_ls8c_ard_3-1-0_111070_2020-06-12_final
2020-07-20 10:48:54	ga_ls8c_ard_3-1-0_105074_2020-07-20_final
2020-07-23 11:19:49	ga_ls8c_ard_3-1-0_110074_2020-07-23_final
2020-08-08 11:19:52	ga_ls8c_ard_3-1-0_110074_2020-08-08_final
2020-09-09 09:46:25	ga_ls8c_ard_3-1-0_094087_2020-09-09_final
2020-12-20 10:40:46	ga_ls8c_ard_3-2-0_104068_2020-12-20_final
2021-01-07 10:29:30	ga_ls8c_ard_3-2-0_102071_2021-01-07_final
2021-01-22 11:25:26	ga_ls8c_ard_3-2-0_111072_2021-01-22_final
2021-02-02 11:10:04	ga_ls8c_ard_3-2-0_108080_2021-02-02_final
2021-02-03 10:11:15	ga_ls8c_ard_3-2-0_099072_2021-02-03_final
2021-02-16 11:18:47	ga_ls8c_ard_3-2-0_110071_2021-02-16_final
2021-03-23 10:10:32	ga_ls8c_ard_3-2-0_099071_2021-03-23_final
2021-03-27 11:23:29	ga_ls8c_ard_3-2-0_111068_2021-03-27_final
2021-04-08 10:10:04	ga_ls8c_ard_3-2-0_099070_2021-04-08_final
2021-04-18 09:10:59	ga_ls8c_ard_3-2-0_089077_2021-04-17_final
2021-07-13 10:09:02	ga_ls8c_ard_3-2-0_099067_2021-07-13_final
2021-07-17 11:24:01	ga_ls8c_ard_3-2-0_111069_2021-07-17_final
2021-10-18 09:17:08	ga_ls8c_ard_3-2-0_090075_2021-10-17_final
2021-10-27 09:12:33	ga_ls8c_ard_3-2-0_089079_2021-10-26_final
2021-11-10 09:28:51	ga_ls8c_ard_3-2-0_091089_2021-11-09_final
2022-01-14 10:03:34	ga_ls8c_ard_3-2-1_098068_2022-01-14_final
2022-03-27 10:52:34	ga_ls8c_ard_3-2-1_106068_2022-03-27_final
2022-05-03 11:14:20	ga_ls8c_ard_3-2-1_109076_2022-05-03_final
2022-05-08 09:58:02	ga_ls8c_ard_3-2-1_096086_2022-05-08_final
2022-05-30 10:52:45	ga_ls8c_ard_3-2-1_106068_2022-05-30_final
2022-06-18 09:52:11	ga_ls8c_ard_3-2-1_095086_2022-06-18_final
2022-07-02 11:37:54	ga_ls8c_ard_3-2-1_113072_2022-07-02_final
2022-07-30 10:23:29	ga_ls8c_ard_3-2-1_101071_2022-07-30_final
2022-08-05 11:24:33	ga_ls8c_ard_3-2-1_111069_2022-08-05_final
2022-09-10 09:27:04	ga_ls8c_ard_3-2-1_091084_2022-09-09_final
2022-09-24 11:14:23	ga_ls8c_ard_3-2-1_109074_2022-09-24_final
2022-10-01 11:22:56	ga_ls8c_ard_3-2-1_110080_2022-10-01_final
2022-10-13 10:07:50	ga_ls8c_ard_3-2-1_098078_2022-10-13_final
2022-11-10 10:29:28	ga_ls8c_ard_3-2-1_102070_2022-11-10_final
2022-11-16 09:58:18	ga_ls8c_ard_3-2-1_096085_2022-11-16_final
2022-12-07 10:11:17	ga_ls8c_ard_3-2-1_099071_2022-12-07_final
2022-12-24 09:23:04	ga_ls8c_ard_3-2-1_090090_2022-12-23_final
2023-01-06 10:23:30	ga_ls8c_ard_3-2-1_101071_2023-01-06_final
2023-01-19 11:31:46	ga_ls8c_ard_3-2-1_112072_2023-01-19_final
2023-02-21 10:36:24	ga_ls8c_ard_3-2-1_103073_2023-02-21_final
2023-02-25 10:09:11	ga_ls8c_ard_3-2-1_099067_2023-02-25_final
2023-03-07 09:10:31	ga_ls8c_ard_3-2-1_089075_2023-03-06_final
2023-07-20 10:52:29	ga_ls8c_ard_3-2-1_106068_2023-07-20_final
2023-08-12 09:28:44	ga_ls8c_ard_3-2-1_091090_2023-08-11_final
2023-10-05 10:27:59	ga_ls8c_ard_3-2-1_101083_2023-10-05_final
2023-10-23 10:10:06	ga_ls8c_ard_3-2-1_099069_2023-10-23_final
2023-12-02 11:05:08	ga_ls8c_ard_3-2-1_107083_2023-12-02_final
2023-12-04 09:16:15	ga_ls8c_ard_3-2-1_089089_2023-12-03_final
2023-12-19 10:02:46	ga_ls8c_ard_3-2-1_098066_2023-12-19_final
2024-02-05 10:04:14	ga_ls8c_ard_3-2-1_098070_2024-02-05_final
2024-02-05 10:05:02	ga_ls8c_ard_3-2-1_098072_2024-02-05_final
2024-02-23 11:31:31	ga_ls8c_ard_3-2-1_112072_2024-02-23_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