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
2018-11-17 08:42:21	ga_ls8c_ard_3-2-1_084082_2018-11-16_final
2021-07-21 12:37:25	ga_ls8c_ard_3-2-1_123067_2021-07-21_final
2022-04-03 12:37:12	ga_ls8c_ard_3-2-1_123067_2022-04-03_final
2022-07-18 11:42:41	ga_ls8c_ard_3-2-1_113084_2022-07-18_final
2022-11-25 08:11:16	ga_ls8c_ard_3-2-1_079080_2022-11-24_final
2023-02-02 11:47:24	ga_ls8c_ard_3-2-1_114080_2023-02-02_final
2023-02-04 11:33:50	ga_ls8c_ard_3-2-1_112077_2023-02-04_final
2023-03-14 10:58:21	ga_ls8c_ard_3-2-1_106082_2023-03-14_final
2023-03-21 09:23:34	ga_ls8c_ard_3-2-1_091077_2023-03-20_final
2023-03-21 11:01:39	ga_ls8c_ard_3-2-1_107075_2023-03-21_final
2023-03-22 11:46:05	ga_ls8c_ard_3-2-1_114078_2023-03-22_final
2023-06-23 09:38:18	ga_ls8c_ard_3-2-1_093084_2023-06-23_final
2023-06-27 10:47:45	ga_ls8c_ard_3-2-1_105072_2023-06-27_final
2023-06-30 09:41:25	ga_ls8c_ard_3-2-1_094076_2023-06-30_final
2023-06-30 09:41:49	ga_ls8c_ard_3-2-1_094077_2023-06-30_final
2023-07-08 10:28:09	ga_ls8c_ard_3-2-1_102069_2023-07-08_final
2023-07-11 09:23:46	ga_ls8c_ard_3-2-1_091078_2023-07-10_final
2023-07-11 11:00:40	ga_ls8c_ard_3-2-1_107073_2023-07-11_final
2023-07-12 11:44:20	ga_ls8c_ard_3-2-1_114074_2023-07-12_final
2023-07-15 10:35:33	ga_ls8c_ard_3-2-1_103072_2023-07-15_final
2023-07-16 11:17:37	ga_ls8c_ard_3-2-1_110069_2023-07-16_final
2023-07-16 11:20:48	ga_ls8c_ard_3-2-1_110077_2023-07-16_final
2023-07-18 11:09:15	ga_ls8c_ard_3-2-1_108079_2023-07-18_final
2023-07-19 10:10:49	ga_ls8c_ard_3-2-1_099072_2023-07-19_final
2023-07-19 10:15:37	ga_ls8c_ard_3-2-1_099084_2023-07-19_final
2023-07-19 11:52:30	ga_ls8c_ard_3-2-1_115079_2023-07-19_final
2023-07-22 09:06:51	ga_ls8c_ard_3-2-1_088082_2023-07-21_final
2023-07-23 11:27:01	ga_ls8c_ard_3-2-1_111077_2023-07-23_final
2023-07-26 10:19:29	ga_ls8c_ard_3-2-1_100078_2023-07-26_final
2023-07-27 09:28:40	ga_ls8c_ard_3-2-1_091090_2023-07-26_final
2023-08-09 10:32:43	ga_ls8c_ard_3-2-1_102080_2023-08-09_final
2023-08-11 10:21:09	ga_ls8c_ard_3-2-1_100082_2023-08-11_final
2023-08-14 09:11:37	ga_ls8c_ard_3-2-1_089078_2023-08-13_final
2023-08-14 10:46:07	ga_ls8c_ard_3-2-1_105067_2023-08-14_final
2023-08-20 10:12:41	ga_ls8c_ard_3-2-1_099076_2023-08-20_final
2023-08-21 10:52:46	ga_ls8c_ard_3-2-1_106068_2023-08-21_final
2023-08-29 11:44:38	ga_ls8c_ard_3-2-1_114074_2023-08-29_final
2023-08-31 09:57:46	ga_ls8c_ard_3-2-1_096085_2023-08-31_final
2023-09-02 11:21:06	ga_ls8c_ard_3-2-1_110077_2023-09-02_final
2023-09-04 09:34:38	ga_ls8c_ard_3-2-1_092089_2023-09-04_final
2023-09-12 10:18:56	ga_ls8c_ard_3-2-1_100076_2023-09-12_final
2023-09-12 11:58:13	ga_ls8c_ard_3-2-1_116077_2023-09-12_final
2023-09-16 11:32:20	ga_ls8c_ard_3-2-1_112074_2023-09-16_final
2023-09-26 10:32:10	ga_ls8c_ard_3-2-1_102078_2023-09-26_final
2023-09-27 09:36:57	ga_ls8c_ard_3-2-1_093079_2023-09-27_final
2023-10-12 10:29:02	ga_ls8c_ard_3-2-1_102070_2023-10-12_final
2023-10-13 09:37:00	ga_ls8c_ard_3-2-1_093079_2023-10-13_final
2023-10-25 10:03:45	ga_ls8c_ard_3-2-1_097084_2023-10-25_final
2023-10-27 11:24:42	ga_ls8c_ard_3-2-1_111070_2023-10-27_final
2023-10-27 11:27:29	ga_ls8c_ard_3-2-1_111077_2023-10-27_final
2023-10-27 11:28:41	ga_ls8c_ard_3-2-1_111080_2023-10-27_final
2023-10-29 11:13:56	ga_ls8c_ard_3-2-1_109074_2023-10-29_final
2023-11-01 11:44:51	ga_ls8c_ard_3-2-1_114074_2023-11-01_final
2023-11-01 11:46:26	ga_ls8c_ard_3-2-1_114078_2023-11-01_final
2023-11-06 10:23:16	ga_ls8c_ard_3-2-1_101071_2023-11-06_final
2023-11-06 10:25:40	ga_ls8c_ard_3-2-1_101077_2023-11-06_final
2023-11-07 11:08:31	ga_ls8c_ard_3-2-1_108076_2023-11-07_final
2023-11-09 09:19:14	ga_ls8c_ard_3-2-1_090081_2023-11-08_final
2023-11-12 11:27:26	ga_ls8c_ard_3-2-1_111077_2023-11-12_final
2023-11-13 10:31:02	ga_ls8c_ard_3-2-1_102075_2023-11-13_final
2023-11-21 09:42:28	ga_ls8c_ard_3-2-1_094077_2023-11-21_final
2023-12-01 10:19:30	ga_ls8c_ard_3-2-1_100077_2023-12-01_final
2023-12-01 10:20:18	ga_ls8c_ard_3-2-1_100079_2023-12-01_final
2023-12-03 11:46:23	ga_ls8c_ard_3-2-1_114078_2023-12-03_final
2023-12-03 11:46:47	ga_ls8c_ard_3-2-1_114079_2023-12-03_final
2023-12-09 11:05:40	ga_ls8c_ard_3-2-1_108069_2023-12-09_final
2023-12-09 11:10:03	ga_ls8c_ard_3-2-1_108080_2023-12-09_final
2023-12-14 11:25:28	ga_ls8c_ard_3-2-1_111072_2023-12-14_final
2023-12-29 10:43:00	ga_ls8c_ard_3-2-1_104074_2023-12-29_final
2023-12-30 11:27:26	ga_ls8c_ard_3-2-1_111077_2023-12-30_final
2023-12-30 11:29:50	ga_ls8c_ard_3-2-1_111083_2023-12-30_final
2024-01-01 09:35:46	ga_ls8c_ard_3-2-1_093076_2024-01-01_final
2024-01-01 11:12:15	ga_ls8c_ard_3-2-1_109070_2024-01-01_final
2024-01-04 10:09:01	ga_ls8c_ard_3-2-1_098082_2024-01-04_final
2024-01-05 09:11:23	ga_ls8c_ard_3-2-1_089077_2024-01-04_final
2024-01-12 10:54:07	ga_ls8c_ard_3-2-1_106071_2024-01-12_final
2024-01-13 11:38:58	ga_ls8c_ard_3-2-1_113075_2024-01-13_final
2024-01-15 11:27:01	ga_ls8c_ard_3-2-1_111076_2024-01-15_final
2024-01-15 11:27:25	ga_ls8c_ard_3-2-1_111077_2024-01-15_final
2024-01-26 09:29:52	ga_ls8c_ard_3-2-1_092077_2024-01-25_final
2024-01-31 09:52:03	ga_ls8c_ard_3-2-1_095086_2024-01-31_final
2024-02-05 10:05:50	ga_ls8c_ard_3-2-1_098074_2024-02-05_final
2024-02-06 09:16:12	ga_ls8c_ard_3-2-1_089089_2024-02-05_final
2024-02-09 11:23:36	ga_ls8c_ard_3-2-1_110083_2024-02-09_final
2024-02-11 11:06:03	ga_ls8c_ard_3-2-1_108070_2024-02-11_final
2024-02-14 09:56:51	ga_ls8c_ard_3-2-1_097067_2024-02-14_final
2024-02-21 11:46:17	ga_ls8c_ard_3-2-1_114078_2024-02-21_final
2024-02-22 09:11:46	ga_ls8c_ard_3-2-1_089078_2024-02-21_final
2024-02-29 09:17:53	ga_ls8c_ard_3-2-1_090078_2024-02-28_final
2024-03-02 10:40:47	ga_ls8c_ard_3-2-1_104069_2024-03-02_final
2024-03-04 10:31:35	ga_ls8c_ard_3-2-1_102077_2024-03-04_final
2024-03-05 09:36:44	ga_ls8c_ard_3-2-1_093079_2024-03-05_final
2024-03-05 11:12:26	ga_ls8c_ard_3-2-1_109071_2024-03-05_final
2024-03-14 11:07:23	ga_ls8c_ard_3-2-1_108074_2024-03-14_final
2024-03-20 10:31:49	ga_ls8c_ard_3-2-1_102078_2024-03-20_final
2024-03-30 09:29:28	ga_ls8c_ard_3-2-1_092077_2024-03-29_final
2024-04-01 09:20:42	ga_ls8c_ard_3-2-1_090086_2024-03-31_final
2024-04-01 10:52:24	ga_ls8c_ard_3-2-1_106068_2024-04-01_final
2024-04-02 11:39:15	ga_ls8c_ard_3-2-1_113077_2024-04-02_final
2024-04-04 08:10:19	ga_ls8c_ard_3-2-1_079080_2024-04-03_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