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
2013-04-22 11:31:28	ga_ls8c_ard_3-0-0_111083_2013-04-22_final
2013-07-13 11:19:18	ga_ls8c_ard_3-0-0_109083_2013-07-13_final
2013-12-29 11:07:22	ga_ls8c_ard_3-0-0_108070_2013-12-29_final
2014-04-16 11:30:37	ga_ls8c_ard_3-0-0_112070_2014-04-16_final
2014-10-25 11:32:29	ga_ls8c_ard_3-0-0_112074_2014-10-25_final
2015-02-21 11:35:28	ga_ls8c_ard_3-0-0_113067_2015-02-21_final
2015-02-28 11:41:37	ga_ls8c_ard_3-0-0_114067_2015-02-28_final
2015-03-14 11:56:59	ga_ls8c_ard_3-0-0_116075_2015-03-14_final
2015-07-14 10:53:55	ga_ls8c_ard_3-0-0_106072_2015-07-14_final
2015-12-26 11:12:40	ga_ls8c_ard_3-0-0_109071_2015-12-26_final
2016-04-30 11:23:41	ga_ls8c_ard_3-0-0_111069_2016-04-30_final
2016-05-07 11:31:51	ga_ls8c_ard_3-0-0_112074_2016-05-07_final
2016-06-07 10:46:18	ga_ls8c_ard_3-0-0_105068_2016-06-07_final
2016-08-15 11:08:00	ga_ls8c_ard_3-0-0_108075_2016-08-15_final
2016-09-18 10:53:49	ga_ls8c_ard_3-0-0_106070_2016-09-18_final
2016-12-07 10:54:42	ga_ls8c_ard_3-0-0_106072_2016-12-07_final
2017-01-04 11:18:55	ga_ls8c_ard_3-0-0_110071_2017-01-04_final
2017-01-26 10:40:31	ga_ls8c_ard_3-0-0_104068_2017-01-26_final
2017-02-21 11:17:49	ga_ls8c_ard_3-0-0_110069_2017-02-21_final
2017-03-07 11:31:16	ga_ls8c_ard_3-0-0_112072_2017-03-07_final
2017-06-23 11:57:56	ga_ls8c_ard_3-0-0_116077_2017-06-23_final
2017-11-19 10:39:40	ga_ls8c_ard_3-0-0_103081_2017-11-19_final
2018-01-30 11:25:59	ga_ls8c_ard_3-0-0_111074_2018-01-30_final
2018-02-08 11:16:57	ga_ls8c_ard_3-0-0_110067_2018-02-08_final
2018-06-23 11:23:04	ga_ls8c_ard_3-0-0_111069_2018-06-23_final
2018-08-25 10:45:31	ga_ls8c_ard_3-0-0_104082_2018-08-25_final
2018-10-29 11:24:24	ga_ls8c_ard_3-0-0_111070_2018-10-29_final
2019-04-03 11:52:20	ga_ls8c_ard_3-1-0_115079_2019-04-03_final
2019-06-08 11:38:37	ga_ls8c_ard_3-0-0_113075_2019-06-08_final
2019-06-10 11:23:53	ga_ls8c_ard_3-0-0_111069_2019-06-10_final
2019-06-18 10:35:41	ga_ls8c_ard_3-1-0_103072_2019-06-18_final
2019-07-02 10:48:55	ga_ls8c_ard_3-1-0_105074_2019-07-02_final
2019-09-22 10:36:09	ga_ls8c_ard_3-1-0_103072_2019-09-22_final
2019-11-26 11:18:14	ga_ls8c_ard_3-1-0_110069_2019-11-26_final
2019-12-27 10:39:41	ga_ls8c_ard_3-1-0_103081_2019-12-27_final
2019-12-31 11:53:02	ga_ls8c_ard_3-1-0_115079_2019-12-31_final
2020-01-20 11:25:26	ga_ls8c_ard_3-1-0_111072_2020-01-20_final
2020-03-05 10:53:55	ga_ls8c_ard_3-1-0_106071_2020-03-05_final
2020-03-17 11:18:09	ga_ls8c_ard_3-1-0_110070_2020-03-17_final
2020-04-02 11:17:36	ga_ls8c_ard_3-1-0_110069_2020-04-02_final
2020-08-21 09:16:10	ga_ls8c_ard_3-1-0_089089_2020-08-20_final
2020-10-26 10:39:46	ga_ls8c_ard_3-1-0_103081_2020-10-26_final
2020-12-20 09:07:28	ga_ls8c_ard_3-2-0_088082_2020-12-19_final
2021-01-31 09:39:57	ga_ls8c_ard_3-2-0_094071_2021-01-31_final
2021-02-08 10:28:35	ga_ls8c_ard_3-2-0_102069_2021-02-08_final
2021-02-17 10:27:56	ga_ls8c_ard_3-2-0_101083_2021-02-17_final
2021-04-30 09:34:24	ga_ls8c_ard_3-2-0_093074_2021-04-30_final
2021-06-05 09:14:17	ga_ls8c_ard_3-2-0_089085_2021-06-04_final
2021-07-01 11:23:59	ga_ls8c_ard_3-2-0_111069_2021-07-01_final
2021-09-03 11:29:07	ga_ls8c_ard_3-2-0_111081_2021-09-03_final
2021-09-09 10:49:16	ga_ls8c_ard_3-2-0_105074_2021-09-09_final
2021-09-12 11:18:35	ga_ls8c_ard_3-2-0_110070_2021-09-12_final
2021-09-15 10:10:37	ga_ls8c_ard_3-2-0_099070_2021-09-15_final
2021-09-25 09:11:38	ga_ls8c_ard_3-2-0_089077_2021-09-24_final
2021-09-27 10:36:10	ga_ls8c_ard_3-2-0_103072_2021-09-27_final
2021-10-19 11:38:05	ga_ls8c_ard_3-2-0_113072_2021-10-19_final
2021-10-27 09:16:08	ga_ls8c_ard_3-2-0_089088_2021-10-26_final
2021-11-30 10:36:12	ga_ls8c_ard_3-2-0_103072_2021-11-30_final
2021-12-30 09:14:46	ga_ls8c_ard_3-2-1_089085_2021-12-29_final
2022-01-18 09:40:50	ga_ls8c_ard_3-2-1_094073_2022-01-18_final
2022-02-14 09:21:46	ga_ls8c_ard_3-2-1_091072_2022-02-13_final
2022-02-23 09:17:31	ga_ls8c_ard_3-2-1_090077_2022-02-22_final
2022-03-15 10:29:12	ga_ls8c_ard_3-2-1_102071_2022-03-15_final
2022-04-10 09:28:52	ga_ls8c_ard_3-2-1_092075_2022-04-09_final
2022-06-08 09:15:00	ga_ls8c_ard_3-2-1_089086_2022-06-07_final
2022-07-12 10:39:40	ga_ls8c_ard_3-2-1_103081_2022-07-12_final
2022-07-13 09:44:50	ga_ls8c_ard_3-2-1_094083_2022-07-13_final
2022-07-26 10:49:22	ga_ls8c_ard_3-2-1_105074_2022-07-26_final
2022-07-29 11:21:06	ga_ls8c_ard_3-2-1_110076_2022-07-29_final
2022-09-18 10:14:34	ga_ls8c_ard_3-2-1_099079_2022-09-18_final
2022-09-25 10:17:33	ga_ls8c_ard_3-2-1_100071_2022-09-25_final
2022-09-26 09:27:07	ga_ls8c_ard_3-2-1_091084_2022-09-25_final
2022-09-26 09:27:55	ga_ls8c_ard_3-2-1_091086_2022-09-25_final
2022-10-11 11:58:43	ga_ls8c_ard_3-2-1_116077_2022-10-11_final
2022-11-01 10:40:05	ga_ls8c_ard_3-2-1_103081_2022-11-01_final
2022-11-25 09:52:56	ga_ls8c_ard_3-2-1_095087_2022-11-25_final
2022-12-08 09:18:03	ga_ls8c_ard_3-2-1_090077_2022-12-07_final
2022-12-28 10:29:40	ga_ls8c_ard_3-2-1_102071_2022-12-28_final
2023-01-10 09:57:33	ga_ls8c_ard_3-2-1_097068_2023-01-10_final
2023-01-30 11:13:19	ga_ls8c_ard_3-2-1_109072_2023-01-30_final
2023-02-01 11:01:45	ga_ls8c_ard_3-2-1_107074_2023-02-01_final
2023-02-15 11:12:00	ga_ls8c_ard_3-2-1_109069_2023-02-15_final
2023-04-06 09:22:34	ga_ls8c_ard_3-2-1_091075_2023-04-05_final
2023-05-01 09:16:10	ga_ls8c_ard_3-2-1_090075_2023-04-30_final
2023-06-05 09:51:21	ga_ls8c_ard_3-2-1_095086_2023-06-05_final
2023-06-10 10:06:45	ga_ls8c_ard_3-2-1_098078_2023-06-10_final
2023-06-11 09:09:33	ga_ls8c_ard_3-2-1_089074_2023-06-10_final
2023-06-16 09:33:43	ga_ls8c_ard_3-2-1_092088_2023-06-16_final
2023-06-26 10:09:16	ga_ls8c_ard_3-2-1_098084_2023-06-26_final
2023-07-04 09:16:20	ga_ls8c_ard_3-2-1_090075_2023-07-03_final
2023-07-21 11:42:08	ga_ls8c_ard_3-2-1_113084_2023-07-21_final
2023-08-14 09:16:00	ga_ls8c_ard_3-2-1_089089_2023-08-13_final
2023-09-05 10:13:53	ga_ls8c_ard_3-2-1_099079_2023-09-05_final
2023-10-02 11:35:35	ga_ls8c_ard_3-2-1_112082_2023-10-02_final
2023-10-20 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-20_final
2023-11-07 09:28:50	ga_ls8c_ard_3-2-1_092074_2023-11-06_final
2023-11-12 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-11-12_final
2023-11-17 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-11-17_final
2024-01-06 09:57:51	ga_ls8c_ard_3-2-1_096085_2024-01-06_final
2024-01-20 10:07:26	ga_ls8c_ard_3-2-1_098078_2024-01-20_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