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
2013-06-28 10:21:39	ga_ls8c_ard_3-0-0_100078_2013-06-28_final
2013-08-16 11:02:10	ga_ls8c_ard_3-0-0_107071_2013-08-16_final
2014-01-15 10:11:05	ga_ls8c_ard_3-0-0_099069_2014-01-15_final
2014-01-24 10:05:40	ga_ls8c_ard_3-1-0_098071_2014-01-24_final
2014-02-12 10:35:31	ga_ls8c_ard_3-0-0_103069_2014-02-12_final
2014-02-27 09:52:28	ga_ls8c_ard_3-0-0_096070_2014-02-27_final
2014-03-13 10:03:53	ga_ls8c_ard_3-0-0_098068_2014-03-13_final
2014-08-31 11:29:46	ga_ls8c_ard_3-0-0_111083_2014-08-31_final
2014-09-05 10:07:04	ga_ls8c_ard_3-0-0_098077_2014-09-05_final
2014-10-18 11:27:55	ga_ls8c_ard_3-0-0_111078_2014-10-18_final
2014-12-14 11:19:36	ga_ls8c_ard_3-0-0_110073_2014-12-14_final
2015-01-10 11:03:25	ga_ls8c_ard_3-0-0_107079_2015-01-10_final
2015-01-18 10:09:32	ga_ls8c_ard_3-0-0_099068_2015-01-18_final
2015-02-25 09:34:14	ga_ls8c_ard_3-0-0_093073_2015-02-25_final
2015-03-14 10:19:18	ga_ls8c_ard_3-0-0_100078_2015-03-14_final
2015-03-18 11:35:03	ga_ls8c_ard_3-0-0_112082_2015-03-18_final
2015-04-12 09:51:22	ga_ls8c_ard_3-0-0_095086_2015-04-12_final
2015-05-03 10:06:08	ga_ls8c_ard_3-0-0_098077_2015-05-03_final
2015-06-08 11:17:32	ga_ls8c_ard_3-0-0_110070_2015-06-08_final
2015-09-12 11:22:36	ga_ls8c_ard_3-0-0_110081_2015-09-12_final
2016-01-07 09:57:14	ga_ls8c_ard_3-0-0_097068_2016-01-07_final
2016-01-09 09:46:52	ga_ls8c_ard_3-0-0_095073_2016-01-09_final
2016-01-27 09:36:55	ga_ls8c_ard_3-0-0_093079_2016-01-27_final
2016-04-06 10:35:29	ga_ls8c_ard_3-0-0_103072_2016-04-06_final
2016-06-01 09:52:03	ga_ls8c_ard_3-0-0_095087_2016-06-01_final
2016-06-10 11:18:00	ga_ls8c_ard_3-0-0_110070_2016-06-10_final
2016-10-21 09:57:31	ga_ls8c_ard_3-0-0_097068_2016-10-21_final
2016-11-26 09:40:46	ga_ls8c_ard_3-0-0_093088_2016-11-26_final
2017-02-25 10:52:16	ga_ls8c_ard_3-0-0_106067_2017-02-25_final
2017-02-28 09:47:28	ga_ls8c_ard_3-0-0_095075_2017-02-28_final
2017-03-17 10:28:10	ga_ls8c_ard_3-0-0_102069_2017-03-17_final
2017-08-12 10:09:46	ga_ls8c_ard_3-0-0_098084_2017-08-12_final
2017-08-19 11:52:04	ga_ls8c_ard_3-0-0_115077_2017-08-19_final
2018-04-09 10:03:55	ga_ls8c_ard_3-0-0_098071_2018-04-09_final
2018-04-20 11:25:21	ga_ls8c_ard_3-0-0_111074_2018-04-20_final
2018-06-07 11:22:05	ga_ls8c_ard_3-0-0_111067_2018-06-07_final
2018-06-07 11:22:53	ga_ls8c_ard_3-0-0_111069_2018-06-07_final
2018-06-30 11:28:31	ga_ls8c_ard_3-0-0_112067_2018-06-30_final
2018-07-20 11:06:45	ga_ls8c_ard_3-0-0_108074_2018-07-20_final
2018-09-18 11:29:06	ga_ls8c_ard_3-0-0_112067_2018-09-18_final
2018-09-19 10:35:29	ga_ls8c_ard_3-0-0_103072_2018-09-19_final
2018-10-06 11:18:29	ga_ls8c_ard_3-0-0_110071_2018-10-06_final
2018-11-14 11:26:01	ga_ls8c_ard_3-0-0_111074_2018-11-14_final
2019-01-18 10:29:53	ga_ls8c_ard_3-0-0_102073_2019-01-18_final
2019-03-06 11:23:45	ga_ls8c_ard_3-0-0_111069_2019-03-06_final
2019-03-18 10:15:30	ga_ls8c_ard_3-1-0_099084_2019-03-18_final
2019-06-12 09:33:51	ga_ls8c_ard_3-1-0_093072_2019-06-12_final
2019-06-21 11:10:36	ga_ls8c_ard_3-1-0_108082_2019-06-21_final
2019-07-09 10:52:19	ga_ls8c_ard_3-1-0_106067_2019-07-09_final
2019-08-30 10:30:39	ga_ls8c_ard_3-1-0_102074_2019-08-30_final
2019-10-19 10:20:30	ga_ls8c_ard_3-1-0_100079_2019-10-19_final
2019-11-12 11:11:54	ga_ls8c_ard_3-1-0_108084_2019-11-12_final
2019-12-09 10:46:55	ga_ls8c_ard_3-1-0_105068_2019-12-09_final
2019-12-31 10:13:45	ga_ls8c_ard_3-1-0_099078_2019-12-31_final
2020-02-26 10:04:56	ga_ls8c_ard_3-1-0_098072_2020-02-26_final
2020-03-22 10:03:45	ga_ls8c_ard_3-1-0_097085_2020-03-22_final
2020-04-17 10:39:01	ga_ls8c_ard_3-1-0_103081_2020-04-17_final
2020-04-25 09:51:31	ga_ls8c_ard_3-1-0_095086_2020-04-25_final
2020-05-02 11:31:43	ga_ls8c_ard_3-1-0_112074_2020-05-02_final
2020-06-28 11:25:50	ga_ls8c_ard_3-1-0_111074_2020-06-28_final
2020-07-11 10:53:26	ga_ls8c_ard_3-1-0_106070_2020-07-11_final
2020-08-28 10:52:55	ga_ls8c_ard_3-1-0_106068_2020-08-28_final
2020-12-12 11:29:49	ga_ls8c_ard_3-1-0_112067_2020-12-12_final
2020-12-26 11:46:08	ga_ls8c_ard_3-2-0_114077_2020-12-26_final
2021-01-03 10:55:51	ga_ls8c_ard_3-2-0_106075_2021-01-03_final
2021-01-11 10:09:33	ga_ls8c_ard_3-2-0_098083_2021-01-11_final
2021-02-12 11:47:31	ga_ls8c_ard_3-2-0_114081_2021-02-12_final
2021-03-15 11:04:48	ga_ls8c_ard_3-2-0_107083_2021-03-15_final
2021-05-28 11:38:09	ga_ls8c_ard_3-2-0_113074_2021-05-28_final
2021-06-03 09:22:38	ga_ls8c_ard_3-2-0_091075_2021-06-02_final
2021-07-13 10:10:38	ga_ls8c_ard_3-2-0_099071_2021-07-13_final
2021-08-02 09:46:04	ga_ls8c_ard_3-2-0_095071_2021-08-02_final
2021-08-08 10:49:06	ga_ls8c_ard_3-2-0_105074_2021-08-08_final
2021-10-14 09:40:38	ga_ls8c_ard_3-2-0_094072_2021-10-14_final
2021-12-01 09:40:11	ga_ls8c_ard_3-2-0_094071_2021-12-01_final
2021-12-03 09:34:37	ga_ls8c_ard_3-2-0_092088_2021-12-03_final
2022-03-22 10:34:06	ga_ls8c_ard_3-2-1_103068_2022-03-22_final
2022-03-26 11:52:12	ga_ls8c_ard_3-2-1_115078_2022-03-26_final
2022-05-17 09:51:56	ga_ls8c_ard_3-2-1_095086_2022-05-17_final
2022-06-06 09:27:20	ga_ls8c_ard_3-2-1_091086_2022-06-05_final
2022-06-23 11:46:03	ga_ls8c_ard_3-2-1_114077_2022-06-23_final
2022-07-23 11:58:31	ga_ls8c_ard_3-2-1_116077_2022-07-23_final
2022-10-21 09:22:04	ga_ls8c_ard_3-2-1_090087_2022-10-20_final
2022-11-09 09:47:01	ga_ls8c_ard_3-2-1_095072_2022-11-09_final
2022-11-14 10:07:54	ga_ls8c_ard_3-2-1_098078_2022-11-14_final
2022-12-15 09:26:57	ga_ls8c_ard_3-2-1_091084_2022-12-14_final
2022-12-18 09:57:49	ga_ls8c_ard_3-2-1_096084_2022-12-18_final
2023-01-23 09:32:36	ga_ls8c_ard_3-2-1_092083_2023-01-23_final
2023-03-15 09:58:44	ga_ls8c_ard_3-2-1_097072_2023-03-15_final
2023-07-21 09:56:52	ga_ls8c_ard_3-2-1_097068_2023-07-21_final
2023-08-14 10:48:54	ga_ls8c_ard_3-2-1_105074_2023-08-14_final
2023-08-21 10:58:21	ga_ls8c_ard_3-2-1_106082_2023-08-21_final
2023-09-05 10:13:53	ga_ls8c_ard_3-2-1_099079_2023-09-05_final
2023-09-25 11:24:35	ga_ls8c_ard_3-2-1_111070_2023-09-25_final
2023-10-18 09:57:31	ga_ls8c_ard_3-2-1_096084_2023-10-18_final
2023-11-08 10:09:41	ga_ls8c_ard_3-2-1_099068_2023-11-08_final
2023-12-11 10:54:08	ga_ls8c_ard_3-2-1_106071_2023-12-11_final
2024-01-03 11:01:28	ga_ls8c_ard_3-2-1_107074_2024-01-03_final
2024-03-14 11:10:58	ga_ls8c_ard_3-2-1_108083_2024-03-14_final
2024-03-20 10:29:02	ga_ls8c_ard_3-2-1_102071_2024-03-20_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