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
2013-05-26 11:16:10	ga_ls8c_ard_3-1-0_109075_2013-05-26_final
2013-08-23 11:09:59	ga_ls8c_ard_3-0-0_108075_2013-08-23_final
2013-08-28 11:26:32	ga_ls8c_ard_3-0-0_111070_2013-08-28_final
2014-02-01 10:59:50	ga_ls8c_ard_3-0-0_106083_2014-02-01_final
2014-07-14 11:29:09	ga_ls8c_ard_3-0-0_111082_2014-07-14_final
2014-09-16 11:24:14	ga_ls8c_ard_3-0-0_111069_2014-09-16_final
2015-06-24 11:17:38	ga_ls8c_ard_3-0-0_110070_2015-06-24_final
2015-08-27 11:18:54	ga_ls8c_ard_3-0-0_110072_2015-08-27_final
2015-09-03 11:25:30	ga_ls8c_ard_3-0-0_111073_2015-09-03_final
2015-09-19 11:29:38	ga_ls8c_ard_3-0-0_111083_2015-09-19_final
2016-06-08 11:29:57	ga_ls8c_ard_3-0-0_112069_2016-06-08_final
2016-12-03 11:18:38	ga_ls8c_ard_3-0-0_110070_2016-12-03_final
2017-03-11 11:06:31	ga_ls8c_ard_3-0-0_108072_2017-03-11_final
2017-11-18 11:31:42	ga_ls8c_ard_3-0-0_112072_2017-11-18_final
2017-12-09 10:08:52	ga_ls8c_ard_3-2-1_099066_2017-12-09_final
2018-01-14 11:25:45	ga_ls8c_ard_3-0-0_111073_2018-01-14_final
2018-04-13 11:19:14	ga_ls8c_ard_3-0-0_110074_2018-04-13_final
2018-05-15 11:16:56	ga_ls8c_ard_3-0-0_110069_2018-05-15_final
2018-06-16 11:18:48	ga_ls8c_ard_3-0-0_110074_2018-06-16_final
2018-08-26 11:23:36	ga_ls8c_ard_3-0-0_111069_2018-08-26_final
2018-09-11 11:25:17	ga_ls8c_ard_3-0-0_111073_2018-09-11_final
2018-10-06 11:17:41	ga_ls8c_ard_3-0-0_110069_2018-10-06_final
2019-01-13 11:53:03	ga_ls8c_ard_3-0-0_115080_2019-01-13_final
2019-03-29 11:31:25	ga_ls8c_ard_3-1-0_112073_2019-03-29_final
2019-07-24 11:51:12	ga_ls8c_ard_3-1-0_115075_2019-07-24_final
2019-09-09 11:07:47	ga_ls8c_ard_3-1-0_108074_2019-09-09_final
2019-11-22 11:42:09	ga_ls8c_ard_3-1-0_114067_2019-11-22_final
2020-01-20 11:25:50	ga_ls8c_ard_3-1-0_111073_2020-01-20_final
2020-01-27 11:31:35	ga_ls8c_ard_3-1-0_112072_2020-01-27_final
2020-04-11 11:14:09	ga_ls8c_ard_3-1-0_109076_2020-04-11_final
2020-08-13 11:37:38	ga_ls8c_ard_3-1-0_113072_2020-08-13_final
2020-09-02 11:13:53	ga_ls8c_ard_3-1-0_109074_2020-09-02_final
2020-09-12 10:08:57	ga_ls8c_ard_3-2-1_099066_2020-09-12_final
2020-10-13 11:08:17	ga_ls8c_ard_3-1-0_108075_2020-10-13_final
2020-10-16 11:38:47	ga_ls8c_ard_3-1-0_113074_2020-10-16_final
2020-12-05 11:24:51	ga_ls8c_ard_3-1-0_111070_2020-12-05_final
2021-01-04 11:37:55	ga_ls8c_ard_3-2-0_113072_2021-01-04_final
2021-01-20 11:37:47	ga_ls8c_ard_3-2-0_113072_2021-01-20_final
2021-03-10 09:06:38	ga_ls8c_ard_3-2-0_088081_2021-03-09_final
2021-03-23 10:10:32	ga_ls8c_ard_3-2-0_099071_2021-03-23_final
2021-04-08 10:10:28	ga_ls8c_ard_3-2-0_099071_2021-04-08_final
2021-06-17 09:34:17	ga_ls8c_ard_3-2-0_093073_2021-06-17_final
2021-07-03 09:40:20	ga_ls8c_ard_3-2-0_093088_2021-07-03_final
2021-07-07 09:10:25	ga_ls8c_ard_3-2-0_089075_2021-07-06_final
2021-07-13 10:14:13	ga_ls8c_ard_3-2-0_099080_2021-07-13_final
2021-07-23 09:10:06	ga_ls8c_ard_3-2-0_089074_2021-07-22_final
2021-07-23 10:49:47	ga_ls8c_ard_3-2-0_105076_2021-07-23_final
2021-08-11 09:39:57	ga_ls8c_ard_3-2-0_094071_2021-08-11_final
2021-08-27 11:20:06	ga_ls8c_ard_3-2-0_110074_2021-08-27_final
2021-10-24 10:17:44	ga_ls8c_ard_3-2-0_100072_2021-10-24_final
2021-10-28 11:30:18	ga_ls8c_ard_3-2-0_112068_2021-10-28_final
2021-11-27 10:04:54	ga_ls8c_ard_3-2-0_098071_2021-11-27_final
2021-11-28 09:11:40	ga_ls8c_ard_3-2-0_089077_2021-11-27_final
2021-12-17 11:18:15	ga_ls8c_ard_3-2-1_110069_2021-12-17_final
2021-12-19 11:08:16	ga_ls8c_ard_3-2-1_108075_2021-12-19_final
2022-01-07 09:57:49	ga_ls8c_ard_3-2-1_097069_2022-01-07_final
2022-01-11 11:14:21	ga_ls8c_ard_3-2-1_109075_2022-01-11_final
2022-01-21 10:13:42	ga_ls8c_ard_3-2-1_099078_2022-01-21_final
2022-01-31 09:11:51	ga_ls8c_ard_3-2-1_089078_2022-01-30_final
2022-02-28 11:11:45	ga_ls8c_ard_3-2-1_109069_2022-02-28_final
2022-03-06 10:34:15	ga_ls8c_ard_3-2-1_103068_2022-03-06_final
2022-04-05 10:49:34	ga_ls8c_ard_3-2-1_105076_2022-04-05_final
2022-04-12 09:16:31	ga_ls8c_ard_3-2-1_090075_2022-04-11_final
2022-04-14 09:07:22	ga_ls8c_ard_3-2-1_088083_2022-04-13_final
2022-04-27 11:52:58	ga_ls8c_ard_3-2-1_115080_2022-04-27_final
2022-04-28 09:21:15	ga_ls8c_ard_3-2-1_090087_2022-04-27_final
2022-04-30 10:42:12	ga_ls8c_ard_3-2-1_104073_2022-04-30_final
2022-06-02 09:52:00	ga_ls8c_ard_3-2-1_095086_2022-06-02_final
2022-06-21 10:17:07	ga_ls8c_ard_3-2-1_100071_2022-06-21_final
2022-07-17 10:58:37	ga_ls8c_ard_3-2-1_106082_2022-07-17_final
2022-08-01 10:11:09	ga_ls8c_ard_3-2-1_099071_2022-08-01_final
2022-08-16 09:33:59	ga_ls8c_ard_3-2-1_092086_2022-08-16_final
2022-09-15 11:18:56	ga_ls8c_ard_3-2-1_110070_2022-09-15_final
2022-09-26 11:05:36	ga_ls8c_ard_3-2-1_107083_2022-09-26_final
2022-10-15 11:31:59	ga_ls8c_ard_3-2-1_112072_2022-10-15_final
2022-12-09 10:04:06	ga_ls8c_ard_3-2-1_097084_2022-12-09_final
2023-02-09 10:10:16	ga_ls8c_ard_3-2-1_099069_2023-02-09_final
2023-03-29 10:10:32	ga_ls8c_ard_3-2-1_099071_2023-03-29_final
2023-03-29 11:53:01	ga_ls8c_ard_3-2-1_115080_2023-03-29_final
2023-04-25 11:30:59	ga_ls8c_ard_3-2-1_112072_2023-04-25_final
2023-04-29 09:28:09	ga_ls8c_ard_3-2-1_092074_2023-04-28_final
2023-05-20 09:51:16	ga_ls8c_ard_3-2-1_095086_2023-05-20_final
2023-06-20 09:07:00	ga_ls8c_ard_3-2-1_088083_2023-06-19_final
2023-07-23 09:45:44	ga_ls8c_ard_3-2-1_095071_2023-07-23_final
2023-08-20 10:08:42	ga_ls8c_ard_3-2-1_099066_2023-08-20_final
2023-08-31 09:58:10	ga_ls8c_ard_3-2-1_096086_2023-08-31_final
2023-09-22 10:55:39	ga_ls8c_ard_3-2-1_106075_2023-09-22_final
2023-09-24 10:46:06	ga_ls8c_ard_3-2-1_104082_2023-09-24_final
2023-09-30 10:03:04	ga_ls8c_ard_3-2-1_098067_2023-09-30_final
2023-12-10 10:13:15	ga_ls8c_ard_3-2-1_099077_2023-12-10_final
2023-12-19 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-12-19_final
2023-12-29 10:40:36	ga_ls8c_ard_3-2-1_104068_2023-12-29_final
2023-12-30 09:46:10	ga_ls8c_ard_3-2-1_095071_2023-12-30_final
2024-01-01 11:11:52	ga_ls8c_ard_3-2-1_109069_2024-01-01_final
2024-01-07 10:35:56	ga_ls8c_ard_3-2-1_103072_2024-01-07_final
2024-01-11 11:52:31	ga_ls8c_ard_3-2-1_115078_2024-01-11_final
2024-01-13 09:56:54	ga_ls8c_ard_3-2-1_097067_2024-01-13_final
2024-01-20 10:09:50	ga_ls8c_ard_3-2-1_098084_2024-01-20_final
2024-02-05 10:09:50	ga_ls8c_ard_3-2-1_098084_2024-02-05_final
2024-02-13 09:23:10	ga_ls8c_ard_3-2-1_090091_2024-02-12_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