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
2013-04-29 11:32:26	ga_ls8c_ard_3-0-0_112070_2013-04-29_final
2013-05-04 10:14:56	ga_ls8c_ard_3-0-0_099077_2013-05-04_final
2014-09-05 11:46:21	ga_ls8c_ard_3-0-0_114078_2014-09-05_final
2014-12-24 10:17:01	ga_ls8c_ard_3-0-0_100071_2014-12-24_final
2014-12-25 11:00:16	ga_ls8c_ard_3-0-0_107071_2014-12-25_final
2015-01-15 11:18:20	ga_ls8c_ard_3-0-0_110070_2015-01-15_final
2015-03-23 10:08:41	ga_ls8c_ard_3-0-0_099067_2015-03-23_final
2015-04-22 10:26:50	ga_ls8c_ard_3-0-0_101082_2015-04-22_final
2015-06-01 11:13:14	ga_ls8c_ard_3-0-0_109075_2015-06-01_final
2015-09-22 10:22:04	ga_ls8c_ard_3-0-0_100084_2015-09-22_final
2015-11-13 11:31:34	ga_ls8c_ard_3-0-0_112072_2015-11-13_final
2015-12-04 10:10:04	ga_ls8c_ard_3-0-0_099069_2015-12-04_final
2016-02-15 10:09:40	ga_ls8c_ard_3-0-0_098084_2016-02-15_final
2016-03-13 11:29:55	ga_ls8c_ard_3-0-0_111084_2016-03-13_final
2016-06-23 10:48:46	ga_ls8c_ard_3-0-0_105074_2016-06-23_final
2016-09-12 11:32:06	ga_ls8c_ard_3-0-0_112073_2016-09-12_final
2016-12-22 10:10:34	ga_ls8c_ard_3-0-0_099070_2016-12-22_final
2017-03-05 10:07:10	ga_ls8c_ard_3-0-0_098078_2017-03-05_final
2017-03-13 10:52:56	ga_ls8c_ard_3-0-0_106069_2017-03-13_final
2017-03-17 10:32:57	ga_ls8c_ard_3-0-0_102081_2017-03-17_final
2017-04-03 11:13:17	ga_ls8c_ard_3-0-0_109074_2017-04-03_final
2017-04-06 10:03:41	ga_ls8c_ard_3-0-0_098070_2017-04-06_final
2017-05-29 10:22:40	ga_ls8c_ard_3-0-0_101071_2017-05-29_final
2017-09-20 10:10:05	ga_ls8c_ard_3-0-0_099069_2017-09-20_final
2017-10-10 09:52:16	ga_ls8c_ard_3-0-0_095086_2017-10-10_final
2017-11-18 09:50:49	ga_ls8c_ard_3-0-0_096067_2017-11-18_final
2018-04-17 10:54:53	ga_ls8c_ard_3-0-0_106075_2018-04-17_final
2018-05-24 11:13:25	ga_ls8c_ard_3-0-0_109076_2018-05-24_final
2018-05-30 10:38:15	ga_ls8c_ard_3-0-0_103081_2018-05-30_final
2018-06-14 09:49:28	ga_ls8c_ard_3-0-0_096067_2018-06-14_final
2018-07-31 10:45:54	ga_ls8c_ard_3-0-0_105068_2018-07-31_final
2018-11-30 11:23:37	ga_ls8c_ard_3-0-0_111068_2018-11-30_final
2019-02-10 10:35:36	ga_ls8c_ard_3-0-0_103072_2019-02-10_final
2019-05-14 10:02:54	ga_ls8c_ard_3-0-0_098068_2019-05-14_final
2019-05-15 10:49:22	ga_ls8c_ard_3-0-0_105076_2019-05-15_final
2019-07-18 10:49:21	ga_ls8c_ard_3-1-0_105075_2019-07-18_final
2019-07-19 11:30:37	ga_ls8c_ard_3-1-0_112070_2019-07-19_final
2019-07-19 11:32:13	ga_ls8c_ard_3-1-0_112074_2019-07-19_final
2019-09-05 11:30:53	ga_ls8c_ard_3-1-0_112070_2019-09-05_final
2019-09-21 09:51:42	ga_ls8c_ard_3-1-0_096069_2019-09-21_final
2019-10-04 11:00:08	ga_ls8c_ard_3-1-0_107070_2019-10-04_final
2019-10-24 10:36:14	ga_ls8c_ard_3-1-0_103072_2019-10-24_final
2019-11-26 11:18:14	ga_ls8c_ard_3-1-0_110069_2019-11-26_final
2019-12-19 09:46:41	ga_ls8c_ard_3-2-0_095072_2019-12-19_final
2019-12-27 10:39:41	ga_ls8c_ard_3-1-0_103081_2019-12-27_final
2020-02-01 10:10:01	ga_ls8c_ard_3-1-0_099069_2020-02-01_final
2020-03-05 10:53:55	ga_ls8c_ard_3-1-0_106071_2020-03-05_final
2020-04-28 10:19:12	ga_ls8c_ard_3-1-0_100078_2020-04-28_final
2020-05-24 10:52:14	ga_ls8c_ard_3-1-0_106068_2020-05-24_final
2020-06-14 11:13:45	ga_ls8c_ard_3-1-0_109075_2020-06-14_final
2020-08-10 09:30:38	ga_ls8c_ard_3-1-0_092079_2020-08-10_final
2020-12-17 10:13:28	ga_ls8c_ard_3-2-0_099077_2020-12-17_final
2020-12-27 10:46:55	ga_ls8c_ard_3-2-0_105068_2020-12-27_final
2021-01-09 11:57:37	ga_ls8c_ard_3-2-0_116075_2021-01-09_final
2021-01-13 09:57:58	ga_ls8c_ard_3-2-0_096085_2021-01-13_final
2021-01-14 10:39:37	ga_ls8c_ard_3-2-0_103081_2021-01-14_final
2021-01-20 09:58:30	ga_ls8c_ard_3-2-0_097071_2021-01-20_final
2021-02-07 09:52:30	ga_ls8c_ard_3-2-0_095087_2021-02-07_final
2021-04-16 11:04:38	ga_ls8c_ard_3-2-0_107083_2021-04-16_final
2021-05-23 09:39:29	ga_ls8c_ard_3-2-0_094071_2021-05-23_final
2021-05-30 11:25:25	ga_ls8c_ard_3-2-0_111073_2021-05-30_final
2021-07-13 10:15:01	ga_ls8c_ard_3-2-0_099082_2021-07-13_final
2021-08-09 11:30:47	ga_ls8c_ard_3-2-0_112070_2021-08-09_final
2021-08-13 09:29:12	ga_ls8c_ard_3-2-0_092075_2021-08-12_final
2021-09-04 10:33:30	ga_ls8c_ard_3-2-0_102081_2021-09-04_final
2021-09-07 09:25:08	ga_ls8c_ard_3-2-0_091080_2021-09-06_final
2021-09-11 10:39:42	ga_ls8c_ard_3-2-0_103081_2021-09-11_final
2021-09-25 10:49:43	ga_ls8c_ard_3-2-0_105075_2021-09-25_final
2021-11-17 11:08:17	ga_ls8c_ard_3-2-0_108075_2021-11-17_final
2021-12-10 11:18:04	ga_ls8c_ard_3-2-1_109084_2021-12-10_final
2022-02-03 09:39:58	ga_ls8c_ard_3-2-1_094071_2022-02-03_final
2022-02-26 11:25:19	ga_ls8c_ard_3-2-1_111072_2022-02-26_final
2022-02-28 09:39:15	ga_ls8c_ard_3-2-1_093085_2022-02-28_final
2022-03-06 10:34:15	ga_ls8c_ard_3-2-1_103068_2022-03-06_final
2022-03-19 10:04:26	ga_ls8c_ard_3-2-1_098071_2022-03-19_final
2022-03-30 09:51:44	ga_ls8c_ard_3-2-1_095086_2022-03-30_final
2022-05-04 10:19:31	ga_ls8c_ard_3-2-1_100078_2022-05-04_final
2022-06-20 11:14:44	ga_ls8c_ard_3-2-1_109076_2022-06-20_final
2022-07-01 09:16:57	ga_ls8c_ard_3-2-1_090075_2022-06-30_final
2022-09-15 11:18:32	ga_ls8c_ard_3-2-1_110069_2022-09-15_final
2022-09-28 10:49:39	ga_ls8c_ard_3-2-1_105074_2022-09-28_final
2022-10-03 09:29:17	ga_ls8c_ard_3-2-1_092074_2022-10-02_final
2022-11-04 09:29:18	ga_ls8c_ard_3-2-1_092074_2022-11-03_final
2022-11-27 11:12:17	ga_ls8c_ard_3-2-1_109069_2022-11-27_final
2022-11-30 10:07:54	ga_ls8c_ard_3-2-1_098078_2022-11-30_final
2022-12-26 09:06:44	ga_ls8c_ard_3-2-1_088080_2022-12-25_final
2023-03-08 11:31:27	ga_ls8c_ard_3-2-1_112072_2023-03-08_final
2023-05-11 09:57:05	ga_ls8c_ard_3-2-1_096085_2023-05-11_final
2023-07-28 11:46:50	ga_ls8c_ard_3-2-1_114080_2023-07-28_final
2023-08-06 11:37:30	ga_ls8c_ard_3-2-1_113072_2023-08-06_final
2023-08-21 09:17:04	ga_ls8c_ard_3-2-1_090076_2023-08-20_final
2023-09-11 11:14:09	ga_ls8c_ard_3-2-1_109075_2023-09-11_final
2023-09-13 09:21:43	ga_ls8c_ard_3-2-1_091072_2023-09-12_final
2023-10-06 11:07:39	ga_ls8c_ard_3-2-1_108074_2023-10-06_final
2023-11-03 11:31:41	ga_ls8c_ard_3-2-1_112072_2023-11-03_final
2023-11-16 09:23:05	ga_ls8c_ard_3-2-1_091075_2023-11-15_final
2023-12-16 11:17:07	ga_ls8c_ard_3-2-1_109082_2023-12-16_final
2023-12-25 09:28:04	ga_ls8c_ard_3-2-1_092072_2023-12-24_final
2024-01-06 09:57:51	ga_ls8c_ard_3-2-1_096085_2024-01-06_final
2024-02-18 09:34:07	ga_ls8c_ard_3-2-1_093072_2024-02-18_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