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
2013-10-30 09:08:27	ga_ls8c_ard_3-1-0_088081_2013-10-29_final
2015-03-16 10:04:08	ga_ls8c_ard_3-1-0_098071_2015-03-16_final
2017-02-25 10:54:40	ga_ls8c_ard_3-1-0_106073_2017-02-25_final
2018-02-14 09:06:33	ga_ls8c_ard_3-1-0_088081_2018-02-13_final
2018-11-27 10:54:19	ga_ls8c_ard_3-1-0_106072_2018-11-27_final
2019-03-10 09:22:06	ga_ls8c_ard_3-1-0_091074_2019-03-09_final
2019-03-11 10:04:10	ga_ls8c_ard_3-1-0_098071_2019-03-11_final
2019-03-12 10:49:01	ga_ls8c_ard_3-1-0_105075_2019-03-12_final
2019-03-17 09:29:03	ga_ls8c_ard_3-1-0_092076_2019-03-16_final
2019-03-21 09:06:43	ga_ls8c_ard_3-1-0_088082_2019-03-20_final
2019-03-27 10:06:30	ga_ls8c_ard_3-1-0_098077_2019-03-27_final
2019-04-12 10:09:13	ga_ls8c_ard_3-1-0_098084_2019-04-12_final
2019-04-13 09:15:59	ga_ls8c_ard_3-1-0_089090_2019-04-12_final
2019-06-16 09:13:32	ga_ls8c_ard_3-1-0_089083_2019-06-15_final
2019-06-16 10:48:50	ga_ls8c_ard_3-1-0_105074_2019-06-16_final
2019-06-27 10:33:09	ga_ls8c_ard_3-1-0_102081_2019-06-27_final
2019-07-01 10:09:14	ga_ls8c_ard_3-1-0_098083_2019-07-01_final
2019-07-02 09:16:01	ga_ls8c_ard_3-1-0_089089_2019-07-01_final
2019-07-04 10:35:46	ga_ls8c_ard_3-1-0_103072_2019-07-04_final
2019-07-07 09:27:47	ga_ls8c_ard_3-1-0_092072_2019-07-06_final
2019-07-11 09:07:04	ga_ls8c_ard_3-1-0_088082_2019-07-10_final
2019-07-11 09:07:28	ga_ls8c_ard_3-1-0_088083_2019-07-10_final
2019-07-23 11:05:56	ga_ls8c_ard_3-1-0_108070_2019-07-23_final
2019-08-08 11:08:02	ga_ls8c_ard_3-1-0_108075_2019-08-08_final
2019-08-16 11:57:55	ga_ls8c_ard_3-1-0_116076_2019-08-16_final
2019-08-17 09:28:13	ga_ls8c_ard_3-1-0_091088_2019-08-16_final
2019-08-18 10:09:53	ga_ls8c_ard_3-1-0_098084_2019-08-18_final
2019-08-19 10:49:33	ga_ls8c_ard_3-1-0_105075_2019-08-19_final
2019-08-29 11:25:53	ga_ls8c_ard_3-1-0_111073_2019-08-29_final
2019-09-03 10:08:20	ga_ls8c_ard_3-1-0_098080_2019-09-03_final
2019-09-09 09:28:06	ga_ls8c_ard_3-1-0_092072_2019-09-08_final
2019-09-11 09:22:32	ga_ls8c_ard_3-1-0_090089_2019-09-10_final
2019-09-13 09:07:00	ga_ls8c_ard_3-1-0_088081_2019-09-12_final
2019-09-14 11:25:57	ga_ls8c_ard_3-1-0_111073_2019-09-14_final
2019-09-19 10:08:26	ga_ls8c_ard_3-1-0_098080_2019-09-19_final
2019-10-11 11:06:44	ga_ls8c_ard_3-1-0_108071_2019-10-11_final
2019-10-13 09:22:40	ga_ls8c_ard_3-1-0_090089_2019-10-12_final
2019-10-20 09:23:16	ga_ls8c_ard_3-1-0_091075_2019-10-19_final
2019-11-06 10:05:19	ga_ls8c_ard_3-1-0_098072_2019-11-06_final
2019-11-07 09:14:53	ga_ls8c_ard_3-1-0_089085_2019-11-06_final
2019-11-07 10:46:59	ga_ls8c_ard_3-1-0_105068_2019-11-07_final
2019-11-14 09:17:03	ga_ls8c_ard_3-1-0_090075_2019-11-13_final
2019-11-14 10:53:09	ga_ls8c_ard_3-1-0_106068_2019-11-14_final
2019-11-14 10:56:20	ga_ls8c_ard_3-1-0_106076_2019-11-14_final
2019-11-17 11:26:25	ga_ls8c_ard_3-1-0_111074_2019-11-17_final
2019-11-22 10:09:39	ga_ls8c_ard_3-1-0_098083_2019-11-22_final
2019-11-22 10:10:27	ga_ls8c_ard_3-1-0_098085_2019-11-22_final
2019-11-23 09:11:38	ga_ls8c_ard_3-1-0_089077_2019-11-22_final
2019-11-30 09:17:01	ga_ls8c_ard_3-1-0_090075_2019-11-29_final
2019-11-30 10:53:31	ga_ls8c_ard_3-1-0_106069_2019-11-30_final
2019-11-30 10:54:42	ga_ls8c_ard_3-1-0_106072_2019-11-30_final
2019-12-02 09:06:39	ga_ls8c_ard_3-1-0_088080_2019-12-01_final
2019-12-03 11:26:48	ga_ls8c_ard_3-1-0_111075_2019-12-03_final
2019-12-11 10:38:09	ga_ls8c_ard_3-1-0_103077_2019-12-11_final
2019-12-23 09:23:33	ga_ls8c_ard_3-1-0_091076_2019-12-22_final
2019-12-24 10:10:24	ga_ls8c_ard_3-1-0_098085_2019-12-24_final
2019-12-25 10:52:27	ga_ls8c_ard_3-1-0_105082_2019-12-25_final
2019-12-30 09:26:30	ga_ls8c_ard_3-1-0_092068_2019-12-29_final
2020-01-01 10:57:00	ga_ls8c_ard_3-1-0_106078_2020-01-01_final
2020-01-08 09:23:53	ga_ls8c_ard_3-1-0_091077_2020-01-07_final
2020-01-10 09:13:30	ga_ls8c_ard_3-1-0_089082_2020-01-09_final
2020-01-17 09:22:03	ga_ls8c_ard_3-1-0_090088_2020-01-16_final
2020-01-20 09:51:45	ga_ls8c_ard_3-1-0_095085_2020-01-20_final
2020-01-21 10:28:13	ga_ls8c_ard_3-1-0_102068_2020-01-21_final
2020-01-26 10:49:08	ga_ls8c_ard_3-1-0_105074_2020-01-26_final
2020-02-05 11:26:09	ga_ls8c_ard_3-1-0_111074_2020-02-05_final
2020-02-06 10:33:19	ga_ls8c_ard_3-1-0_102081_2020-02-06_final
2020-02-09 09:23:44	ga_ls8c_ard_3-1-0_091077_2020-02-08_final
2020-02-18 10:54:00	ga_ls8c_ard_3-1-0_106071_2020-02-18_final
2020-02-26 10:07:19	ga_ls8c_ard_3-1-0_098078_2020-02-26_final
2020-02-26 10:10:07	ga_ls8c_ard_3-1-0_098085_2020-02-26_final
2020-03-02 10:24:38	ga_ls8c_ard_3-1-0_101075_2020-03-02_final
2020-03-19 11:07:46	ga_ls8c_ard_3-1-0_108075_2020-03-19_final
2020-03-21 10:53:00	ga_ls8c_ard_3-1-0_106069_2020-03-21_final
2020-03-24 09:46:11	ga_ls8c_ard_3-1-0_095072_2020-03-24_final
2020-04-09 11:23:44	ga_ls8c_ard_3-1-0_111069_2020-04-09_final
2020-04-20 09:28:13	ga_ls8c_ard_3-1-0_092074_2020-04-19_final
2020-04-29 09:21:34	ga_ls8c_ard_3-1-0_091073_2020-04-28_final
2020-04-29 09:21:58	ga_ls8c_ard_3-1-0_091074_2020-04-28_final
2022-03-30 11:25:25	ga_ls8c_ard_3-2-1_111073_2022-03-30_final
2022-04-03 09:28:36	ga_ls8c_ard_3-2-1_091090_2022-04-02_final
2022-04-04 10:09:29	ga_ls8c_ard_3-2-1_098084_2022-04-04_final
2022-04-05 10:46:22	ga_ls8c_ard_3-2-1_105068_2022-04-05_final
2022-04-07 10:35:38	ga_ls8c_ard_3-2-1_103072_2022-04-07_final
2022-04-08 11:18:54	ga_ls8c_ard_3-2-1_110072_2022-04-08_final
2022-04-12 09:22:07	ga_ls8c_ard_3-2-1_090089_2022-04-11_final
2022-04-27 10:09:18	ga_ls8c_ard_3-2-1_099068_2022-04-27_final
2022-05-01 09:52:10	ga_ls8c_ard_3-2-1_095087_2022-05-01_final
2022-05-01 11:25:52	ga_ls8c_ard_3-2-1_111074_2022-05-01_final
2022-05-05 09:28:42	ga_ls8c_ard_3-2-1_091090_2022-05-04_final
2022-05-05 11:03:36	ga_ls8c_ard_3-2-1_107080_2022-05-05_final
2022-05-07 09:11:11	ga_ls8c_ard_3-2-1_089077_2022-05-06_final
2022-05-10 11:19:00	ga_ls8c_ard_3-2-1_110072_2022-05-10_final
2022-05-10 11:20:12	ga_ls8c_ard_3-2-1_110075_2022-05-10_final
2022-05-14 10:53:07	ga_ls8c_ard_3-2-1_106069_2022-05-14_final
2022-05-14 10:56:42	ga_ls8c_ard_3-2-1_106078_2022-05-14_final
2022-05-25 10:35:47	ga_ls8c_ard_3-2-1_103072_2022-05-25_final
2022-06-01 09:06:43	ga_ls8c_ard_3-2-1_088081_2022-05-31_final
2022-06-06 09:22:33	ga_ls8c_ard_3-2-1_091074_2022-06-05_final
2022-06-08 09:16:36	ga_ls8c_ard_3-2-1_089090_2022-06-07_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