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
2013-06-30 11:43:48	ga_ls8c_ard_3-0-0_114067_2013-06-30_final
2013-07-23 10:15:53	ga_ls8c_ard_3-0-0_099079_2013-07-23_final
2013-08-27 10:43:17	ga_ls8c_ard_3-0-0_104070_2013-08-27_final
2013-12-11 09:47:00	ga_ls8c_ard_3-0-0_094085_2013-12-11_final
2014-02-15 11:06:24	ga_ls8c_ard_3-0-0_108069_2014-02-15_final
2014-03-20 11:51:38	ga_ls8c_ard_3-0-0_115075_2014-03-20_final
2014-05-27 09:51:08	ga_ls8c_ard_3-0-0_095085_2014-05-27_final
2014-09-05 10:07:28	ga_ls8c_ard_3-0-0_098078_2014-09-05_final
2014-09-11 09:28:48	ga_ls8c_ard_3-0-0_092074_2014-09-10_final
2014-10-29 09:28:02	ga_ls8c_ard_3-0-0_092072_2014-10-28_final
2015-01-07 10:28:55	ga_ls8c_ard_3-0-0_102070_2015-01-07_final
2015-03-23 10:09:52	ga_ls8c_ard_3-0-0_099070_2015-03-23_final
2015-05-26 10:14:11	ga_ls8c_ard_3-0-0_099082_2015-05-26_final
2015-08-06 10:59:23	ga_ls8c_ard_3-0-0_107070_2015-08-06_final
2015-08-17 09:07:15	ga_ls8c_ard_3-0-0_088083_2015-08-16_final
2015-08-25 11:32:03	ga_ls8c_ard_3-0-0_112074_2015-08-25_final
2015-09-14 09:27:47	ga_ls8c_ard_3-0-0_092072_2015-09-13_final
2015-10-05 11:24:31	ga_ls8c_ard_3-0-0_111070_2015-10-05_final
2016-01-29 09:21:45	ga_ls8c_ard_3-0-0_091072_2016-01-28_final
2016-02-10 11:28:52	ga_ls8c_ard_3-0-0_111081_2016-02-10_final
2016-02-19 11:17:48	ga_ls8c_ard_3-0-0_110069_2016-02-19_final
2016-05-30 09:57:37	ga_ls8c_ard_3-0-0_097070_2016-05-30_final
2016-06-16 09:07:14	ga_ls8c_ard_3-0-0_088083_2016-06-15_final
2016-08-06 09:34:04	ga_ls8c_ard_3-0-0_093072_2016-08-06_final
2016-12-21 09:28:06	ga_ls8c_ard_3-0-0_092072_2016-12-20_final
2016-12-28 09:38:40	ga_ls8c_ard_3-0-0_093083_2016-12-28_final
2017-01-02 09:51:36	ga_ls8c_ard_3-0-0_096069_2017-01-02_final
2017-01-15 09:22:14	ga_ls8c_ard_3-0-0_091073_2017-01-14_final
2017-05-18 10:45:29	ga_ls8c_ard_3-0-0_104082_2017-05-18_final
2017-06-27 11:31:14	ga_ls8c_ard_3-0-0_112072_2017-06-27_final
2017-08-30 11:31:34	ga_ls8c_ard_3-0-0_112072_2017-08-30_final
2017-10-07 10:55:51	ga_ls8c_ard_3-0-0_106075_2017-10-07_final
2017-10-13 10:19:11	ga_ls8c_ard_3-0-0_100076_2017-10-13_final
2017-10-14 12:37:45	ga_ls8c_ard_3-2-1_123067_2017-10-14_final
2017-10-17 11:31:46	ga_ls8c_ard_3-0-0_112072_2017-10-17_final
2017-11-09 10:01:50	ga_ls8c_ard_3-0-0_097079_2017-11-09_final
2017-12-16 10:21:52	ga_ls8c_ard_3-0-0_100083_2017-12-16_final
2017-12-24 09:28:51	ga_ls8c_ard_3-0-0_092074_2017-12-23_final
2018-01-17 11:58:37	ga_ls8c_ard_3-0-0_116078_2018-01-17_final
2018-02-11 10:10:33	ga_ls8c_ard_3-0-0_099071_2018-02-11_final
2018-05-08 09:33:32	ga_ls8c_ard_3-0-0_093073_2018-05-08_final
2018-06-07 09:50:23	ga_ls8c_ard_3-0-0_095085_2018-06-07_final
2018-07-30 10:09:24	ga_ls8c_ard_3-0-0_098085_2018-07-30_final
2018-08-31 11:46:10	ga_ls8c_ard_3-0-0_114079_2018-08-31_final
2018-09-27 09:45:42	ga_ls8c_ard_3-0-0_095071_2018-09-27_final
2018-11-14 09:45:32	ga_ls8c_ard_3-0-0_095070_2018-11-14_final
2018-11-30 11:24:01	ga_ls8c_ard_3-0-0_111069_2018-11-30_final
2019-02-04 11:17:29	ga_ls8c_ard_3-0-0_109084_2019-02-04_final
2019-02-18 09:45:44	ga_ls8c_ard_3-0-0_095071_2019-02-18_final
2019-03-29 11:30:13	ga_ls8c_ard_3-1-0_112070_2019-03-29_final
2019-05-15 10:49:22	ga_ls8c_ard_3-0-0_105076_2019-05-15_final
2019-08-04 11:30:21	ga_ls8c_ard_3-1-0_112069_2019-08-04_final
2019-10-25 11:19:30	ga_ls8c_ard_3-1-0_110072_2019-10-25_final
2019-12-06 10:20:01	ga_ls8c_ard_3-1-0_100078_2019-12-06_final
2019-12-27 10:39:17	ga_ls8c_ard_3-1-0_103080_2019-12-27_final
2020-01-16 10:13:17	ga_ls8c_ard_3-1-0_099077_2020-01-16_final
2020-02-07 09:34:30	ga_ls8c_ard_3-1-0_093073_2020-02-07_final
2020-02-24 10:18:06	ga_ls8c_ard_3-1-0_100074_2020-02-24_final
2020-03-07 10:45:56	ga_ls8c_ard_3-1-0_104082_2020-03-07_final
2020-03-20 11:51:01	ga_ls8c_ard_3-1-0_115075_2020-03-20_final
2020-04-30 11:44:30	ga_ls8c_ard_3-1-0_114075_2020-04-30_final
2020-06-26 11:42:11	ga_ls8c_ard_3-1-0_113084_2020-06-26_final
2020-09-20 09:27:32	ga_ls8c_ard_3-1-0_091086_2020-09-19_final
2020-11-17 10:01:51	ga_ls8c_ard_3-1-0_097079_2020-11-17_final
2021-02-27 11:04:57	ga_ls8c_ard_3-2-0_107083_2021-02-27_final
2021-03-28 10:33:27	ga_ls8c_ard_3-2-0_102082_2021-03-28_final
2021-05-13 09:07:05	ga_ls8c_ard_3-2-0_088083_2021-05-12_final
2021-06-01 09:34:11	ga_ls8c_ard_3-2-0_093073_2021-06-01_final
2021-07-03 09:31:57	ga_ls8c_ard_3-2-0_093067_2021-07-03_final
2021-07-03 09:40:20	ga_ls8c_ard_3-2-0_093088_2021-07-03_final
2021-12-13 10:10:05	ga_ls8c_ard_3-2-1_098084_2021-12-13_final
2022-01-11 09:34:17	ga_ls8c_ard_3-2-1_093072_2022-01-11_final
2022-04-10 09:28:28	ga_ls8c_ard_3-2-1_092074_2022-04-09_final
2022-04-24 09:40:25	ga_ls8c_ard_3-2-1_094073_2022-04-24_final
2022-05-12 09:33:21	ga_ls8c_ard_3-2-1_092086_2022-05-12_final
2022-05-15 11:41:58	ga_ls8c_ard_3-2-1_113083_2022-05-15_final
2022-05-21 09:22:02	ga_ls8c_ard_3-2-1_091073_2022-05-20_final
2022-06-04 09:34:05	ga_ls8c_ard_3-2-1_093072_2022-06-04_final
2022-07-17 10:55:49	ga_ls8c_ard_3-2-1_106075_2022-07-17_final
2022-08-16 09:29:11	ga_ls8c_ard_3-2-1_092074_2022-08-15_final
2022-08-17 10:14:03	ga_ls8c_ard_3-2-1_099078_2022-08-17_final
2022-10-04 10:09:45	ga_ls8c_ard_3-2-1_099067_2022-10-04_final
2022-10-07 09:08:07	ga_ls8c_ard_3-2-1_088083_2022-10-06_final
2022-10-15 09:57:29	ga_ls8c_ard_3-2-1_096083_2022-10-15_final
2022-11-04 09:34:30	ga_ls8c_ard_3-2-1_092087_2022-11-04_final
2022-12-15 09:22:10	ga_ls8c_ard_3-2-1_091072_2022-12-14_final
2023-03-12 09:28:38	ga_ls8c_ard_3-2-1_092074_2023-03-11_final
2023-04-04 09:33:46	ga_ls8c_ard_3-2-1_093072_2023-04-04_final
2023-04-13 11:05:07	ga_ls8c_ard_3-2-1_108069_2023-04-13_final
2023-04-18 11:24:01	ga_ls8c_ard_3-2-1_111070_2023-04-18_final
2023-05-06 09:39:50	ga_ls8c_ard_3-2-1_093088_2023-05-06_final
2023-05-14 10:27:09	ga_ls8c_ard_3-2-1_101083_2023-05-14_final
2023-07-02 09:32:16	ga_ls8c_ard_3-2-1_092084_2023-07-02_final
2023-09-06 10:55:33	ga_ls8c_ard_3-2-1_106075_2023-09-06_final
2023-09-23 11:37:43	ga_ls8c_ard_3-2-1_113072_2023-09-23_final
2023-09-29 09:23:00	ga_ls8c_ard_3-2-1_091075_2023-09-28_final
2023-10-13 09:33:49	ga_ls8c_ard_3-2-1_093071_2023-10-13_final
2023-12-10 10:13:39	ga_ls8c_ard_3-2-1_099078_2023-12-10_final
2023-12-17 10:19:30	ga_ls8c_ard_3-2-1_100077_2023-12-17_final
2024-01-10 09:29:10	ga_ls8c_ard_3-2-1_092075_2024-01-09_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