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
2014-10-07 11:46:49	ga_ls8c_ard_3-0-0_114079_2014-10-07_final
2015-10-10 11:46:38	ga_ls8c_ard_3-0-0_114079_2015-10-10_final
2016-01-30 11:45:05	ga_ls8c_ard_3-0-0_114075_2016-01-30_final
2016-02-24 11:38:20	ga_ls8c_ard_3-0-0_113074_2016-02-24_final
2016-03-16 11:58:00	ga_ls8c_ard_3-0-0_116077_2016-03-16_final
2016-10-05 11:35:55	ga_ls8c_ard_3-0-0_113067_2016-10-05_final
2017-03-05 11:44:27	ga_ls8c_ard_3-0-0_114074_2017-03-05_final
2017-04-15 11:35:07	ga_ls8c_ard_3-0-0_113067_2017-04-15_final
2017-09-06 11:38:33	ga_ls8c_ard_3-0-0_113074_2017-09-06_final
2017-11-09 11:39:55	ga_ls8c_ard_3-0-0_113077_2017-11-09_final
2017-11-09 11:41:07	ga_ls8c_ard_3-0-0_113080_2017-11-09_final
2018-03-15 11:52:46	ga_ls8c_ard_3-0-0_115080_2018-03-15_final
2018-04-07 11:57:59	ga_ls8c_ard_3-0-0_116078_2018-04-07_final
2018-04-23 11:57:49	ga_ls8c_ard_3-0-0_116078_2018-04-23_final
2018-09-07 11:50:24	ga_ls8c_ard_3-0-0_115074_2018-09-07_final
2018-11-05 11:34:59	ga_ls8c_ard_3-0-0_112081_2018-11-05_final
2019-01-08 11:35:19	ga_ls8c_ard_3-0-0_112082_2019-01-08_final
2019-09-10 11:53:03	ga_ls8c_ard_3-1-0_115079_2019-09-10_final
2020-03-13 11:44:54	ga_ls8c_ard_3-1-0_114075_2020-03-13_final
2020-03-22 11:41:50	ga_ls8c_ard_3-1-0_113083_2020-03-22_final
2020-05-18 11:35:17	ga_ls8c_ard_3-1-0_112083_2020-05-18_final
2020-06-03 11:34:35	ga_ls8c_ard_3-1-0_112081_2020-06-03_final
2020-08-19 09:22:32	ga_ls8c_ard_3-1-0_091074_2020-08-18_final
2020-10-16 11:41:58	ga_ls8c_ard_3-1-0_113082_2020-10-16_final
2020-11-30 09:33:48	ga_ls8c_ard_3-1-0_092086_2020-11-30_final
2020-12-08 10:22:03	ga_ls8c_ard_3-1-0_100083_2020-12-08_final
2020-12-12 09:58:07	ga_ls8c_ard_3-1-0_096085_2020-12-12_final
2020-12-19 11:41:35	ga_ls8c_ard_3-2-0_113081_2020-12-19_final
2020-12-28 09:55:17	ga_ls8c_ard_3-2-0_096078_2020-12-28_final
2020-12-31 10:23:46	ga_ls8c_ard_3-2-0_101072_2020-12-31_final
2021-01-11 11:45:38	ga_ls8c_ard_3-2-0_114076_2021-01-11_final
2021-02-23 09:50:25	ga_ls8c_ard_3-2-0_095082_2021-02-23_final
2021-03-04 11:18:40	ga_ls8c_ard_3-2-0_110071_2021-03-04_final
2021-03-11 09:51:05	ga_ls8c_ard_3-2-0_095084_2021-03-11_final
2021-04-12 09:46:55	ga_ls8c_ard_3-2-0_095074_2021-04-12_final
2021-04-15 10:21:47	ga_ls8c_ard_3-2-0_100084_2021-04-15_final
2021-04-17 10:06:37	ga_ls8c_ard_3-2-0_098077_2021-04-17_final
2021-05-09 11:07:51	ga_ls8c_ard_3-2-0_108076_2021-05-09_final
2021-05-26 11:50:54	ga_ls8c_ard_3-2-0_115075_2021-05-26_final
2021-05-31 10:30:36	ga_ls8c_ard_3-2-0_102075_2021-05-31_final
2021-06-06 11:34:50	ga_ls8c_ard_3-2-0_112081_2021-06-06_final
2021-06-09 10:22:29	ga_ls8c_ard_3-2-0_101070_2021-06-09_final
2021-06-29 09:59:03	ga_ls8c_ard_3-2-0_097073_2021-06-29_final
2021-07-01 11:23:35	ga_ls8c_ard_3-2-0_111068_2021-07-01_final
2021-07-02 10:30:45	ga_ls8c_ard_3-2-0_102075_2021-07-02_final
2021-07-03 11:13:13	ga_ls8c_ard_3-2-0_109073_2021-07-03_final
2021-08-24 09:12:42	ga_ls8c_ard_3-2-0_089080_2021-08-23_final
2021-09-15 11:51:05	ga_ls8c_ard_3-2-0_115074_2021-09-15_final
2021-09-25 10:47:43	ga_ls8c_ard_3-2-0_105070_2021-09-25_final
2021-10-25 09:28:54	ga_ls8c_ard_3-2-0_091089_2021-10-24_final
2021-10-27 09:14:09	ga_ls8c_ard_3-2-0_089083_2021-10-26_final
2021-11-20 11:41:58	ga_ls8c_ard_3-2-0_113082_2021-11-20_final
2021-11-26 11:02:55	ga_ls8c_ard_3-2-0_107077_2021-11-26_final
2021-12-01 09:44:35	ga_ls8c_ard_3-2-0_094082_2021-12-01_final
2021-12-08 11:30:26	ga_ls8c_ard_3-2-1_111084_2021-12-08_final
2021-12-22 09:57:05	ga_ls8c_ard_3-2-1_097067_2021-12-22_final
2021-12-24 09:51:06	ga_ls8c_ard_3-2-1_095083_2021-12-24_final
2021-12-31 11:32:07	ga_ls8c_ard_3-2-1_112073_2021-12-31_final
2022-02-14 09:26:57	ga_ls8c_ard_3-2-1_091085_2022-02-13_final
2022-02-24 11:37:41	ga_ls8c_ard_3-2-1_113072_2022-02-24_final
2022-02-26 09:51:37	ga_ls8c_ard_3-2-1_095085_2022-02-26_final
2022-03-18 09:25:58	ga_ls8c_ard_3-2-1_091083_2022-03-17_final
2022-04-05 09:12:16	ga_ls8c_ard_3-2-1_089080_2022-04-04_final
2022-04-10 09:32:28	ga_ls8c_ard_3-2-1_092084_2022-04-10_final
2022-04-22 11:36:04	ga_ls8c_ard_3-2-1_112084_2022-04-22_final
2022-04-28 10:53:21	ga_ls8c_ard_3-2-1_106070_2022-04-28_final
2022-05-04 10:21:55	ga_ls8c_ard_3-2-1_100084_2022-05-04_final
2022-05-10 09:45:42	ga_ls8c_ard_3-2-1_094086_2022-05-10_final
2022-05-14 10:53:54	ga_ls8c_ard_3-2-1_106071_2022-05-14_final
2022-05-19 11:16:28	ga_ls8c_ard_3-2-1_109081_2022-05-19_final
2022-06-02 11:30:05	ga_ls8c_ard_3-2-1_111084_2022-06-02_final
2022-06-16 10:01:44	ga_ls8c_ard_3-2-1_097079_2022-06-16_final
2022-07-02 10:03:24	ga_ls8c_ard_3-2-1_097083_2022-07-02_final
2022-07-15 09:29:16	ga_ls8c_ard_3-2-1_092075_2022-07-14_final
2022-07-22 11:17:14	ga_ls8c_ard_3-2-1_109082_2022-07-22_final
2022-07-29 09:45:48	ga_ls8c_ard_3-2-1_094085_2022-07-29_final
2022-08-08 10:22:11	ga_ls8c_ard_3-2-1_100083_2022-08-08_final
2022-08-21 09:51:20	ga_ls8c_ard_3-2-1_095083_2022-08-21_final
2022-08-26 10:04:17	ga_ls8c_ard_3-2-1_098069_2022-08-26_final
2022-09-10 09:24:16	ga_ls8c_ard_3-2-1_091077_2022-09-09_final
2022-09-12 10:52:49	ga_ls8c_ard_3-2-1_105082_2022-09-12_final
2022-09-13 09:52:48	ga_ls8c_ard_3-2-1_096071_2022-09-13_final
2022-10-08 11:30:39	ga_ls8c_ard_3-2-1_111084_2022-10-08_final
2022-10-12 09:23:48	ga_ls8c_ard_3-2-1_091076_2022-10-11_final
2022-10-25 10:30:17	ga_ls8c_ard_3-2-1_102072_2022-10-25_final
2022-11-02 09:44:04	ga_ls8c_ard_3-2-1_094080_2022-11-02_final
2022-11-19 10:24:24	ga_ls8c_ard_3-2-1_101073_2022-11-19_final
2022-12-04 09:45:10	ga_ls8c_ard_3-2-1_094083_2022-12-04_final
2022-12-09 11:38:11	ga_ls8c_ard_3-2-1_113072_2022-12-09_final
2022-12-13 11:16:14	ga_ls8c_ard_3-2-1_109079_2022-12-13_final
2022-12-22 09:29:50	ga_ls8c_ard_3-2-1_092076_2022-12-21_final
2022-12-31 11:02:59	ga_ls8c_ard_3-2-1_107077_2022-12-31_final
2023-01-08 10:16:19	ga_ls8c_ard_3-2-1_099084_2023-01-08_final
2023-01-10 11:42:25	ga_ls8c_ard_3-2-1_113083_2023-01-10_final
2023-01-16 09:25:34	ga_ls8c_ard_3-2-1_091081_2023-01-15_final
2023-01-26 11:41:37	ga_ls8c_ard_3-2-1_113081_2023-01-26_final
2023-01-31 10:18:29	ga_ls8c_ard_3-2-1_100074_2023-01-31_final
2023-02-10 09:19:26	ga_ls8c_ard_3-2-1_090081_2023-02-09_final
2023-03-01 11:26:56	ga_ls8c_ard_3-2-1_111076_2023-03-01_final
2023-03-03 09:40:28	ga_ls8c_ard_3-2-1_093088_2023-03-03_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