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
2013-11-15 09:08:26	ga_ls8c_ard_3-1-0_088081_2013-11-14_final
2015-12-07 09:06:52	ga_ls8c_ard_3-1-0_088081_2015-12-06_final
2016-02-24 09:57:52	ga_ls8c_ard_3-1-0_097070_2016-02-24_final
2017-02-14 11:14:04	ga_ls8c_ard_3-1-0_109075_2017-02-14_final
2017-10-09 09:07:00	ga_ls8c_ard_3-1-0_088081_2017-10-08_final
2018-06-19 10:14:03	ga_ls8c_ard_3-1-0_099082_2018-06-19_final
2019-03-09 10:16:32	ga_ls8c_ard_3-1-0_100071_2019-03-09_final
2019-03-11 10:02:58	ga_ls8c_ard_3-1-0_098068_2019-03-11_final
2019-03-15 11:19:06	ga_ls8c_ard_3-1-0_110073_2019-03-15_final
2019-03-27 11:44:11	ga_ls8c_ard_3-1-0_114074_2019-03-27_final
2019-04-14 11:31:44	ga_ls8c_ard_3-1-0_112074_2019-04-14_final
2019-06-14 09:27:05	ga_ls8c_ard_3-1-0_091086_2019-06-13_final
2019-07-16 09:22:26	ga_ls8c_ard_3-1-0_091074_2019-07-15_final
2019-07-24 10:13:55	ga_ls8c_ard_3-1-0_099079_2019-07-24_final
2019-07-25 10:52:47	ga_ls8c_ard_3-1-0_106068_2019-07-25_final
2019-07-28 11:23:19	ga_ls8c_ard_3-1-0_111067_2019-07-28_final
2019-07-28 11:25:43	ga_ls8c_ard_3-1-0_111073_2019-07-28_final
2019-08-02 10:07:24	ga_ls8c_ard_3-1-0_098078_2019-08-02_final
2019-08-04 09:57:27	ga_ls8c_ard_3-1-0_096084_2019-08-04_final
2019-08-15 09:34:11	ga_ls8c_ard_3-1-0_093072_2019-08-15_final
2019-08-22 11:20:28	ga_ls8c_ard_3-1-0_110075_2019-08-22_final
2019-08-29 11:25:53	ga_ls8c_ard_3-1-0_111073_2019-08-29_final
2019-09-09 09:34:29	ga_ls8c_ard_3-1-0_092088_2019-09-09_final
2019-09-11 09:17:21	ga_ls8c_ard_3-1-0_090076_2019-09-10_final
2019-09-23 11:20:37	ga_ls8c_ard_3-1-0_110075_2019-09-23_final
2019-10-11 11:06:44	ga_ls8c_ard_3-1-0_108071_2019-10-11_final
2019-10-14 09:57:33	ga_ls8c_ard_3-1-0_097068_2019-10-14_final
2019-10-18 09:34:50	ga_ls8c_ard_3-1-0_093073_2019-10-18_final
2019-10-22 10:50:12	ga_ls8c_ard_3-1-0_105076_2019-10-22_final
2019-10-25 11:17:31	ga_ls8c_ard_3-1-0_110067_2019-10-25_final
2019-10-25 11:20:18	ga_ls8c_ard_3-1-0_110074_2019-10-25_final
2019-10-29 09:17:30	ga_ls8c_ard_3-1-0_090076_2019-10-28_final
2019-10-29 09:21:53	ga_ls8c_ard_3-1-0_090087_2019-10-28_final
2019-11-06 10:10:07	ga_ls8c_ard_3-1-0_098084_2019-11-06_final
2019-11-26 09:40:09	ga_ls8c_ard_3-1-0_094071_2019-11-26_final
2019-12-09 09:14:01	ga_ls8c_ard_3-1-0_089083_2019-12-08_final
2019-12-09 10:49:19	ga_ls8c_ard_3-1-0_105074_2019-12-09_final
2019-12-10 11:29:47	ga_ls8c_ard_3-1-0_112067_2019-12-10_final
2019-12-25 10:46:52	ga_ls8c_ard_3-1-0_105068_2019-12-25_final
2019-12-26 09:52:02	ga_ls8c_ard_3-1-0_096070_2019-12-26_final
2020-01-02 11:38:40	ga_ls8c_ard_3-1-0_113074_2020-01-02_final
2020-01-12 10:34:50	ga_ls8c_ard_3-1-0_103069_2020-01-12_final
2020-01-15 09:34:01	ga_ls8c_ard_3-1-0_092087_2020-01-15_final
2020-01-24 09:23:01	ga_ls8c_ard_3-1-0_091075_2020-01-23_final
2020-01-26 09:16:14	ga_ls8c_ard_3-1-0_089089_2020-01-25_final
2020-01-31 09:29:09	ga_ls8c_ard_3-1-0_092075_2020-01-30_final
2020-02-06 10:28:08	ga_ls8c_ard_3-1-0_102068_2020-02-06_final
2020-02-16 11:07:58	ga_ls8c_ard_3-1-0_108075_2020-02-16_final
2020-02-18 09:17:31	ga_ls8c_ard_3-1-0_090077_2020-02-17_final
2020-03-06 10:03:53	ga_ls8c_ard_3-1-0_097085_2020-03-06_final
2020-03-08 09:47:07	ga_ls8c_ard_3-1-0_095074_2020-03-08_final
2020-03-13 10:02:50	ga_ls8c_ard_3-1-0_098067_2020-03-13_final
2020-03-13 11:44:30	ga_ls8c_ard_3-1-0_114074_2020-03-13_final
2020-03-14 10:49:16	ga_ls8c_ard_3-1-0_105075_2020-03-14_final
2020-04-03 10:22:46	ga_ls8c_ard_3-1-0_101071_2020-04-03_final
2020-04-06 10:55:38	ga_ls8c_ard_3-1-0_106076_2020-04-06_final
2020-04-13 09:21:42	ga_ls8c_ard_3-1-0_091073_2020-04-12_final
2020-04-14 10:08:56	ga_ls8c_ard_3-1-0_098083_2020-04-14_final
2020-04-16 09:57:46	ga_ls8c_ard_3-1-0_096086_2020-04-16_final
2020-04-18 09:40:12	ga_ls8c_ard_3-1-0_094073_2020-04-18_final
2020-04-19 10:22:39	ga_ls8c_ard_3-1-0_101071_2020-04-19_final
2020-04-29 09:22:22	ga_ls8c_ard_3-1-0_091075_2020-04-28_final
2020-04-30 10:06:49	ga_ls8c_ard_3-1-0_098078_2020-04-30_final
2020-07-09 09:28:30	ga_ls8c_ard_3-1-0_092074_2020-07-08_final
2020-07-25 09:34:34	ga_ls8c_ard_3-1-0_092089_2020-07-25_final
2021-04-14 09:32:09	ga_ls8c_ard_3-2-0_093068_2021-04-14_final
2021-05-10 10:15:02	ga_ls8c_ard_3-2-0_099083_2021-05-10_final
2021-05-14 11:22:52	ga_ls8c_ard_3-2-0_111067_2021-05-14_final
2021-05-18 09:22:30	ga_ls8c_ard_3-2-0_091075_2021-05-17_final
2021-06-15 09:44:15	ga_ls8c_ard_3-2-0_095067_2021-06-15_final
2021-07-12 11:05:51	ga_ls8c_ard_3-2-0_108070_2021-07-12_final
2021-07-22 10:07:42	ga_ls8c_ard_3-2-0_098079_2021-07-22_final
2021-08-06 09:28:34	ga_ls8c_ard_3-2-0_091089_2021-08-05_final
2021-08-07 10:09:50	ga_ls8c_ard_3-2-0_098084_2021-08-07_final
2021-08-13 09:28:00	ga_ls8c_ard_3-2-0_092072_2021-08-12_final
2021-08-14 10:10:04	ga_ls8c_ard_3-2-0_099069_2021-08-14_final
2021-08-18 09:46:10	ga_ls8c_ard_3-2-0_095071_2021-08-18_final
2021-08-27 11:17:19	ga_ls8c_ard_3-2-0_110067_2021-08-27_final
2021-09-23 09:22:23	ga_ls8c_ard_3-2-0_091073_2021-09-22_final
2021-10-14 11:18:44	ga_ls8c_ard_3-2-0_110070_2021-10-14_final
2021-10-23 11:17:21	ga_ls8c_ard_3-2-0_109082_2021-10-23_final
2021-11-03 09:17:31	ga_ls8c_ard_3-2-0_090076_2021-11-02_final
2021-11-07 10:29:16	ga_ls8c_ard_3-2-0_102070_2021-11-07_final
2021-11-08 11:12:08	ga_ls8c_ard_3-2-0_109069_2021-11-08_final
2021-11-11 10:05:19	ga_ls8c_ard_3-2-0_098072_2021-11-11_final
2021-12-04 10:09:30	ga_ls8c_ard_3-2-0_099067_2021-12-04_final
2021-12-08 11:26:03	ga_ls8c_ard_3-2-1_111073_2021-12-08_final
2021-12-12 09:23:14	ga_ls8c_ard_3-2-1_091075_2021-12-11_final
2021-12-13 10:04:54	ga_ls8c_ard_3-2-1_098071_2021-12-13_final
2022-01-06 10:53:50	ga_ls8c_ard_3-2-1_106070_2022-01-06_final
2022-01-07 11:37:53	ga_ls8c_ard_3-2-1_113072_2022-01-07_final
2022-04-18 11:57:37	ga_ls8c_ard_3-2-1_116076_2022-04-18_final
2022-05-05 09:27:30	ga_ls8c_ard_3-2-1_091087_2022-05-04_final
2022-05-05 11:03:36	ga_ls8c_ard_3-2-1_107080_2022-05-05_final
2022-05-06 10:03:36	ga_ls8c_ard_3-2-1_098069_2022-05-06_final
2022-05-19 09:34:47	ga_ls8c_ard_3-2-1_093074_2022-05-19_final
2022-05-21 09:28:49	ga_ls8c_ard_3-2-1_091090_2022-05-20_final
2022-05-25 10:35:47	ga_ls8c_ard_3-2-1_103072_2022-05-25_final
2022-06-19 10:28:16	ga_ls8c_ard_3-2-1_102068_2022-06-19_final
2022-06-22 09:23:06	ga_ls8c_ard_3-2-1_091075_2022-06-21_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