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
2013-09-25 11:54:41	ga_ls8c_ard_3-0-0_115079_2013-09-25_final
2014-11-15 11:51:01	ga_ls8c_ard_3-0-0_115074_2014-11-15_final
2015-10-17 11:52:49	ga_ls8c_ard_3-0-0_115079_2015-10-17_final
2016-03-16 11:58:00	ga_ls8c_ard_3-0-0_116077_2016-03-16_final
2018-03-15 11:52:46	ga_ls8c_ard_3-0-0_115080_2018-03-15_final
2018-04-07 11:57:35	ga_ls8c_ard_3-0-0_116077_2018-04-07_final
2018-05-11 11:46:29	ga_ls8c_ard_3-0-0_114081_2018-05-11_final
2018-07-05 11:51:06	ga_ls8c_ard_3-0-0_115077_2018-07-05_final
2018-08-06 11:50:33	ga_ls8c_ard_3-0-0_115075_2018-08-06_final
2019-01-06 11:47:17	ga_ls8c_ard_3-0-0_114081_2019-01-06_final
2019-09-10 11:53:03	ga_ls8c_ard_3-1-0_115079_2019-09-10_final
2019-11-29 11:51:55	ga_ls8c_ard_3-1-0_115076_2019-11-29_final
2019-12-14 11:06:15	ga_ls8c_ard_3-2-0_108070_2019-12-14_final
2020-04-15 09:10:55	ga_ls8c_ard_3-1-0_089077_2020-04-14_final
2020-08-10 09:28:38	ga_ls8c_ard_3-1-0_092074_2020-08-09_final
2020-08-12 09:22:16	ga_ls8c_ard_3-1-0_090089_2020-08-11_final
2020-11-17 10:04:15	ga_ls8c_ard_3-1-0_097085_2020-11-17_final
2020-11-24 10:10:04	ga_ls8c_ard_3-1-0_098084_2020-11-24_final
2020-12-23 09:35:10	ga_ls8c_ard_3-2-0_093074_2020-12-23_final
2020-12-30 11:23:47	ga_ls8c_ard_3-2-0_110083_2020-12-30_final
2021-01-01 09:34:08	ga_ls8c_ard_3-2-0_092087_2021-01-01_final
2021-01-06 09:50:38	ga_ls8c_ard_3-2-0_095082_2021-01-06_final
2021-01-10 11:01:59	ga_ls8c_ard_3-2-0_107075_2021-01-10_final
2021-01-11 11:47:14	ga_ls8c_ard_3-2-0_114080_2021-01-11_final
2021-01-13 09:52:23	ga_ls8c_ard_3-2-0_096071_2021-01-13_final
2021-02-07 09:48:07	ga_ls8c_ard_3-2-0_095076_2021-02-07_final
2021-02-07 11:26:12	ga_ls8c_ard_3-2-0_111074_2021-02-07_final
2021-02-17 10:27:32	ga_ls8c_ard_3-2-0_101082_2021-02-17_final
2021-02-18 11:06:01	ga_ls8c_ard_3-2-0_108070_2021-02-18_final
2021-02-23 09:46:50	ga_ls8c_ard_3-2-0_095073_2021-02-23_final
2021-03-17 09:15:56	ga_ls8c_ard_3-2-0_089089_2021-03-16_final
2021-03-26 10:40:14	ga_ls8c_ard_3-2-0_104068_2021-03-26_final
2021-04-11 10:42:56	ga_ls8c_ard_3-2-0_104075_2021-04-11_final
2021-06-13 11:42:16	ga_ls8c_ard_3-2-0_113084_2021-06-13_final
2021-06-26 09:31:44	ga_ls8c_ard_3-2-0_092082_2021-06-26_final
2021-07-05 09:27:10	ga_ls8c_ard_3-2-0_091086_2021-07-04_final
2021-07-14 10:53:06	ga_ls8c_ard_3-2-0_106069_2021-07-14_final
2021-07-14 10:53:54	ga_ls8c_ard_3-2-0_106071_2021-07-14_final
2021-07-17 11:26:48	ga_ls8c_ard_3-2-0_111076_2021-07-17_final
2021-07-31 11:37:42	ga_ls8c_ard_3-2-0_113072_2021-07-31_final
2021-07-31 11:41:41	ga_ls8c_ard_3-2-0_113082_2021-07-31_final
2021-08-04 09:38:55	ga_ls8c_ard_3-2-0_093084_2021-08-04_final
2021-08-16 10:02:30	ga_ls8c_ard_3-2-0_097081_2021-08-16_final
2021-08-16 11:41:23	ga_ls8c_ard_3-2-0_113081_2021-08-16_final
2021-08-22 09:22:39	ga_ls8c_ard_3-2-0_091074_2021-08-21_final
2021-08-23 10:07:07	ga_ls8c_ard_3-2-0_098077_2021-08-23_final
2021-08-25 11:30:04	ga_ls8c_ard_3-2-0_112068_2021-08-25_final
2021-09-07 11:00:01	ga_ls8c_ard_3-2-0_107070_2021-09-07_final
2021-09-14 09:33:44	ga_ls8c_ard_3-2-0_092086_2021-09-14_final
2021-09-16 09:21:23	ga_ls8c_ard_3-2-0_090086_2021-09-15_final
2021-09-17 09:57:51	ga_ls8c_ard_3-2-0_097069_2021-09-17_final
2021-09-23 09:23:59	ga_ls8c_ard_3-2-0_091077_2021-09-22_final
2021-09-30 09:29:25	ga_ls8c_ard_3-2-0_092075_2021-09-29_final
2021-10-04 10:41:36	ga_ls8c_ard_3-2-0_104070_2021-10-04_final
2021-10-07 11:14:07	ga_ls8c_ard_3-2-0_109074_2021-10-07_final
2021-10-18 10:54:49	ga_ls8c_ard_3-2-0_106072_2021-10-18_final
2021-10-26 10:07:22	ga_ls8c_ard_3-2-0_098077_2021-10-26_final
2021-10-27 10:50:38	ga_ls8c_ard_3-2-0_105077_2021-10-27_final
2021-11-11 11:47:24	ga_ls8c_ard_3-2-0_114080_2021-11-11_final
2021-11-24 09:35:11	ga_ls8c_ard_3-2-0_093074_2021-11-24_final
2021-12-21 09:18:37	ga_ls8c_ard_3-2-1_090079_2021-12-20_final
2022-01-26 10:29:49	ga_ls8c_ard_3-2-1_102072_2022-01-26_final
2022-02-06 10:16:02	ga_ls8c_ard_3-2-1_099084_2022-02-06_final
2022-02-14 11:02:39	ga_ls8c_ard_3-2-1_107077_2022-02-14_final
2022-02-27 10:30:05	ga_ls8c_ard_3-2-1_102073_2022-02-27_final
2022-03-09 09:33:26	ga_ls8c_ard_3-2-1_092086_2022-03-09_final
2022-03-12 09:58:44	ga_ls8c_ard_3-2-1_097072_2022-03-12_final
2022-04-19 09:24:42	ga_ls8c_ard_3-2-1_091080_2022-04-18_final
2022-04-19 11:00:00	ga_ls8c_ard_3-2-1_107071_2022-04-19_final
2022-05-06 10:09:59	ga_ls8c_ard_3-2-1_098085_2022-05-06_final
2022-05-17 09:46:44	ga_ls8c_ard_3-2-1_095073_2022-05-17_final
2022-05-20 10:17:15	ga_ls8c_ard_3-2-1_100072_2022-05-20_final
2022-05-24 11:35:48	ga_ls8c_ard_3-2-1_112083_2022-05-24_final
2022-05-26 11:18:38	ga_ls8c_ard_3-2-1_110071_2022-05-26_final
2022-06-04 11:13:22	ga_ls8c_ard_3-2-1_109073_2022-06-04_final
2022-06-05 10:17:45	ga_ls8c_ard_3-2-1_100073_2022-06-05_final
2022-06-22 11:01:35	ga_ls8c_ard_3-2-1_107074_2022-06-22_final
2022-06-26 10:34:29	ga_ls8c_ard_3-2-1_103068_2022-06-26_final
2022-07-05 10:30:18	ga_ls8c_ard_3-2-1_102073_2022-07-05_final
2022-07-17 09:17:20	ga_ls8c_ard_3-2-1_090076_2022-07-16_final
2022-08-14 09:41:32	ga_ls8c_ard_3-2-1_094074_2022-08-14_final
2022-08-25 09:23:01	ga_ls8c_ard_3-2-1_091074_2022-08-24_final
2022-09-04 10:02:30	ga_ls8c_ard_3-2-1_097080_2022-09-04_final
2022-09-20 09:59:25	ga_ls8c_ard_3-2-1_097072_2022-09-20_final
2022-09-24 09:35:53	ga_ls8c_ard_3-2-1_093075_2022-09-24_final
2022-10-01 11:20:08	ga_ls8c_ard_3-2-1_110073_2022-10-01_final
2022-10-05 09:23:18	ga_ls8c_ard_3-2-1_090090_2022-10-04_final
2022-10-08 11:30:15	ga_ls8c_ard_3-2-1_111083_2022-10-08_final
2022-10-19 09:35:12	ga_ls8c_ard_3-2-1_092089_2022-10-19_final
2022-10-27 10:17:56	ga_ls8c_ard_3-2-1_100072_2022-10-27_final
2022-11-13 11:01:08	ga_ls8c_ard_3-2-1_107072_2022-11-13_final
2022-11-26 10:29:49	ga_ls8c_ard_3-2-1_102071_2022-11-26_final
2022-11-29 09:26:38	ga_ls8c_ard_3-2-1_091083_2022-11-28_final
2022-12-02 11:33:14	ga_ls8c_ard_3-2-1_112075_2022-12-02_final
2023-01-08 10:15:07	ga_ls8c_ard_3-2-1_099081_2023-01-08_final
2023-01-16 09:25:34	ga_ls8c_ard_3-2-1_091081_2023-01-15_final
2023-01-26 10:01:56	ga_ls8c_ard_3-2-1_097079_2023-01-26_final
2023-01-26 11:41:37	ga_ls8c_ard_3-2-1_113081_2023-01-26_final
2023-01-30 11:12:55	ga_ls8c_ard_3-2-1_109071_2023-01-30_final
2023-02-01 09:22:04	ga_ls8c_ard_3-2-1_091072_2023-01-31_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