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
2013-12-02 09:48:26	ga_ls8c_ard_3-0-0_095073_2013-12-02_final
2015-05-07 09:44:08	ga_ls8c_ard_3-0-0_094084_2015-05-07_final
2016-04-07 09:39:51	ga_ls8c_ard_3-0-0_094072_2016-04-07_final
2016-04-14 09:46:00	ga_ls8c_ard_3-0-0_095072_2016-04-14_final
2018-01-30 09:45:54	ga_ls8c_ard_3-0-0_095071_2018-01-30_final
2018-07-09 09:45:08	ga_ls8c_ard_3-0-0_095071_2018-07-09_final
2020-02-05 09:47:16	ga_ls8c_ard_3-1-0_095074_2020-02-05_final
2021-03-30 10:16:41	ga_ls8c_ard_3-2-0_100071_2021-03-30_final
2021-04-17 10:07:01	ga_ls8c_ard_3-2-0_098078_2021-04-17_final
2021-04-26 11:37:15	ga_ls8c_ard_3-2-0_113072_2021-04-26_final
2021-04-29 10:32:49	ga_ls8c_ard_3-2-0_102081_2021-04-29_final
2021-04-30 09:34:24	ga_ls8c_ard_3-2-0_093074_2021-04-30_final
2021-05-03 11:45:45	ga_ls8c_ard_3-2-0_114078_2021-05-03_final
2021-05-05 11:29:22	ga_ls8c_ard_3-2-0_112068_2021-05-05_final
2021-05-11 09:17:02	ga_ls8c_ard_3-2-0_090077_2021-05-10_final
2021-06-13 09:57:00	ga_ls8c_ard_3-2-0_097068_2021-06-13_final
2021-06-19 09:21:56	ga_ls8c_ard_3-2-0_091073_2021-06-18_final
2021-07-03 09:39:08	ga_ls8c_ard_3-2-0_093085_2021-07-03_final
2021-07-12 11:07:27	ga_ls8c_ard_3-2-0_108074_2021-07-12_final
2021-07-12 11:10:15	ga_ls8c_ard_3-2-0_108081_2021-07-12_final
2021-07-17 11:24:49	ga_ls8c_ard_3-2-0_111071_2021-07-17_final
2021-07-20 10:16:51	ga_ls8c_ard_3-2-0_100071_2021-07-20_final
2021-07-29 10:15:09	ga_ls8c_ard_3-2-0_099082_2021-07-29_final
2021-08-03 10:33:44	ga_ls8c_ard_3-2-0_102082_2021-08-03_final
2021-08-27 09:40:25	ga_ls8c_ard_3-2-0_094072_2021-08-27_final
2021-09-14 09:34:32	ga_ls8c_ard_3-2-0_092088_2021-09-14_final
2021-09-15 10:10:37	ga_ls8c_ard_3-2-0_099070_2021-09-15_final
2021-09-23 09:28:22	ga_ls8c_ard_3-2-0_091088_2021-09-22_final
2021-09-25 10:50:07	ga_ls8c_ard_3-2-0_105076_2021-09-25_final
2021-11-01 09:29:05	ga_ls8c_ard_3-2-0_092074_2021-10-31_final
2021-11-12 10:49:22	ga_ls8c_ard_3-2-0_105074_2021-11-12_final
2021-11-14 10:40:12	ga_ls8c_ard_3-2-0_103082_2021-11-14_final
2021-12-04 10:13:29	ga_ls8c_ard_3-2-0_099077_2021-12-04_final
2021-12-04 11:53:10	ga_ls8c_ard_3-2-0_115079_2021-12-04_final
2021-12-08 11:24:51	ga_ls8c_ard_3-2-1_111070_2021-12-08_final
2021-12-10 09:34:48	ga_ls8c_ard_3-2-1_093073_2021-12-10_final
2021-12-27 10:19:59	ga_ls8c_ard_3-2-1_100078_2021-12-27_final
2022-01-23 09:58:32	ga_ls8c_ard_3-2-1_097071_2022-01-23_final
2022-02-10 09:46:07	ga_ls8c_ard_3-2-1_095071_2022-02-10_final
2022-02-10 11:25:24	ga_ls8c_ard_3-2-1_111072_2022-02-10_final
2022-03-03 11:47:26	ga_ls8c_ard_3-2-1_114081_2022-03-03_final
2022-04-10 09:33:16	ga_ls8c_ard_3-2-1_092086_2022-04-10_final
2022-05-05 09:24:19	ga_ls8c_ard_3-2-1_091079_2022-05-04_final
2022-05-06 10:07:11	ga_ls8c_ard_3-2-1_098078_2022-05-06_final
2022-05-23 09:12:27	ga_ls8c_ard_3-2-1_089080_2022-05-22_final
2022-06-07 10:04:13	ga_ls8c_ard_3-2-1_098070_2022-06-07_final
2022-06-07 10:07:49	ga_ls8c_ard_3-2-1_098079_2022-06-07_final
2022-06-22 11:05:11	ga_ls8c_ard_3-2-1_107083_2022-06-22_final
2022-07-16 11:51:26	ga_ls8c_ard_3-2-1_115075_2022-07-16_final
2022-08-02 10:59:12	ga_ls8c_ard_3-2-1_106083_2022-08-02_final
2022-08-03 11:42:29	ga_ls8c_ard_3-2-1_113083_2022-08-03_final
2022-08-19 11:38:11	ga_ls8c_ard_3-2-1_113072_2022-08-19_final
2022-08-21 11:24:38	ga_ls8c_ard_3-2-1_111069_2022-08-21_final
2022-09-04 11:42:58	ga_ls8c_ard_3-2-1_113084_2022-09-04_final
2022-09-08 09:35:01	ga_ls8c_ard_3-2-1_093073_2022-09-08_final
2022-10-13 10:07:50	ga_ls8c_ard_3-2-1_098078_2022-10-13_final
2022-10-21 10:53:22	ga_ls8c_ard_3-2-1_106068_2022-10-21_final
2022-10-22 10:04:32	ga_ls8c_ard_3-2-1_097085_2022-10-22_final
2022-11-13 09:23:27	ga_ls8c_ard_3-2-1_091075_2022-11-12_final
2022-11-14 10:03:31	ga_ls8c_ard_3-2-1_098067_2022-11-14_final
2022-11-21 11:52:56	ga_ls8c_ard_3-2-1_115078_2022-11-21_final
2022-11-29 09:29:02	ga_ls8c_ard_3-2-1_091089_2022-11-28_final
2023-01-08 11:53:36	ga_ls8c_ard_3-2-1_115080_2023-01-08_final
2023-01-10 09:57:33	ga_ls8c_ard_3-2-1_097068_2023-01-10_final
2023-01-12 11:24:27	ga_ls8c_ard_3-2-1_111069_2023-01-12_final
2023-01-25 10:55:57	ga_ls8c_ard_3-2-1_106075_2023-01-25_final
2023-02-02 11:46:36	ga_ls8c_ard_3-2-1_114078_2023-02-02_final
2023-02-15 11:13:59	ga_ls8c_ard_3-2-1_109074_2023-02-15_final
2023-03-03 11:13:46	ga_ls8c_ard_3-2-1_109074_2023-03-03_final
2023-04-14 10:12:40	ga_ls8c_ard_3-2-1_099077_2023-04-14_final
2023-04-20 09:33:57	ga_ls8c_ard_3-2-1_093073_2023-04-20_final
2023-05-01 09:16:34	ga_ls8c_ard_3-2-1_090076_2023-04-30_final
2023-05-07 11:57:11	ga_ls8c_ard_3-2-1_116076_2023-05-07_final
2023-05-17 09:20:45	ga_ls8c_ard_3-2-1_090087_2023-05-16_final
2023-06-18 09:17:46	ga_ls8c_ard_3-2-1_090079_2023-06-17_final
2023-06-27 09:10:04	ga_ls8c_ard_3-2-1_089075_2023-06-26_final
2023-06-27 09:15:39	ga_ls8c_ard_3-2-1_089089_2023-06-26_final
2023-06-28 11:35:49	ga_ls8c_ard_3-2-1_112084_2023-06-28_final
2023-08-20 10:10:42	ga_ls8c_ard_3-2-1_099071_2023-08-20_final
2023-08-24 11:24:53	ga_ls8c_ard_3-2-1_111071_2023-08-24_final
2023-08-27 10:19:18	ga_ls8c_ard_3-2-1_100077_2023-08-27_final
2023-08-28 09:22:29	ga_ls8c_ard_3-2-1_091074_2023-08-27_final
2023-09-24 10:42:30	ga_ls8c_ard_3-2-1_104073_2023-09-24_final
2023-09-30 10:09:51	ga_ls8c_ard_3-2-1_098084_2023-09-30_final
2023-10-06 09:33:34	ga_ls8c_ard_3-2-1_092086_2023-10-06_final
2023-10-30 10:19:55	ga_ls8c_ard_3-2-1_100078_2023-10-30_final
2023-11-02 09:11:56	ga_ls8c_ard_3-2-1_089078_2023-11-01_final
2023-11-09 09:16:50	ga_ls8c_ard_3-2-1_090075_2023-11-08_final
2023-11-09 09:17:14	ga_ls8c_ard_3-2-1_090076_2023-11-08_final
2023-11-22 10:26:07	ga_ls8c_ard_3-2-1_101078_2023-11-22_final
2023-12-03 10:03:07	ga_ls8c_ard_3-2-1_098067_2023-12-03_final
2023-12-10 10:13:15	ga_ls8c_ard_3-2-1_099077_2023-12-10_final
2023-12-14 11:26:16	ga_ls8c_ard_3-2-1_111074_2023-12-14_final
2024-01-12 09:20:01	ga_ls8c_ard_3-2-1_090083_2024-01-11_final
2024-01-19 09:24:11	ga_ls8c_ard_3-2-1_091078_2024-01-18_final
2024-01-21 10:47:30	ga_ls8c_ard_3-2-1_105070_2024-01-21_final
2024-02-04 09:22:34	ga_ls8c_ard_3-2-1_091074_2024-02-03_final
2024-02-05 10:03:50	ga_ls8c_ard_3-2-1_098069_2024-02-05_final
2024-03-23 09:27:23	ga_ls8c_ard_3-2-1_091087_2024-03-22_final
2024-03-25 10:52:15	ga_ls8c_ard_3-2-1_105083_2024-03-25_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