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
2016-11-12 12:37:47	ga_ls8c_ard_3-2-1_123067_2016-11-12_final
2018-11-14 08:10:39	ga_ls8c_ard_3-2-1_079080_2018-11-13_final
2020-08-15 08:10:43	ga_ls8c_ard_3-2-1_079080_2020-08-14_final
2022-08-21 08:11:15	ga_ls8c_ard_3-2-1_079080_2022-08-20_final
2023-05-23 08:41:43	ga_ls8c_ard_3-2-1_084082_2023-05-22_final
2023-11-14 11:15:06	ga_ls8c_ard_3-2-1_109077_2023-11-14_final
2023-11-14 11:15:30	ga_ls8c_ard_3-2-1_109078_2023-11-14_final
2023-11-15 10:18:42	ga_ls8c_ard_3-2-1_100075_2023-11-15_final
2023-11-15 10:21:29	ga_ls8c_ard_3-2-1_100082_2023-11-15_final
2023-11-19 11:33:18	ga_ls8c_ard_3-2-1_112076_2023-11-19_final
2023-11-21 09:42:04	ga_ls8c_ard_3-2-1_094076_2023-11-21_final
2023-11-23 11:10:11	ga_ls8c_ard_3-2-1_108080_2023-11-23_final
2023-11-27 10:43:28	ga_ls8c_ard_3-2-1_104075_2023-11-27_final
2023-11-30 09:36:15	ga_ls8c_ard_3-2-1_093077_2023-11-30_final
2023-11-30 09:38:15	ga_ls8c_ard_3-2-1_093082_2023-11-30_final
2023-12-05 09:56:18	ga_ls8c_ard_3-2-1_096081_2023-12-05_final
2023-12-10 10:12:03	ga_ls8c_ard_3-2-1_099074_2023-12-10_final
2023-12-12 10:02:55	ga_ls8c_ard_3-2-1_097082_2023-12-12_final
2023-12-13 10:43:23	ga_ls8c_ard_3-2-1_104075_2023-12-13_final
2023-12-14 09:50:10	ga_ls8c_ard_3-2-1_095081_2023-12-14_final
2023-12-14 11:29:03	ga_ls8c_ard_3-2-1_111081_2023-12-14_final
2023-12-15 10:32:15	ga_ls8c_ard_3-2-1_102078_2023-12-15_final
2023-12-16 09:37:50	ga_ls8c_ard_3-2-1_093081_2023-12-16_final
2023-12-17 10:18:42	ga_ls8c_ard_3-2-1_100075_2023-12-17_final
2023-12-18 11:02:46	ga_ls8c_ard_3-2-1_107077_2023-12-18_final
2023-12-19 10:09:09	ga_ls8c_ard_3-2-1_098082_2023-12-19_final
2023-12-21 09:55:36	ga_ls8c_ard_3-2-1_096079_2023-12-21_final
2023-12-21 11:35:17	ga_ls8c_ard_3-2-1_112081_2023-12-21_final
2023-12-23 09:42:02	ga_ls8c_ard_3-2-1_094076_2023-12-23_final
2023-12-25 09:31:16	ga_ls8c_ard_3-2-1_092080_2023-12-25_final
2023-12-28 10:03:20	ga_ls8c_ard_3-2-1_097083_2023-12-28_final
2023-12-28 11:39:50	ga_ls8c_ard_3-2-1_113077_2023-12-28_final
2023-12-29 10:41:48	ga_ls8c_ard_3-2-1_104071_2023-12-29_final
2023-12-31 10:32:12	ga_ls8c_ard_3-2-1_102078_2023-12-31_final
2024-01-01 09:37:22	ga_ls8c_ard_3-2-1_093080_2024-01-01_final
2024-01-01 11:16:15	ga_ls8c_ard_3-2-1_109080_2024-01-01_final
2024-01-07 10:38:44	ga_ls8c_ard_3-2-1_103079_2024-01-07_final
2024-01-10 09:30:46	ga_ls8c_ard_3-2-1_092079_2024-01-10_final
2024-01-13 10:00:53	ga_ls8c_ard_3-2-1_097077_2024-01-13_final
2024-01-14 10:41:21	ga_ls8c_ard_3-2-1_104070_2024-01-14_final
2024-01-14 10:43:21	ga_ls8c_ard_3-2-1_104075_2024-01-14_final
2024-01-15 11:28:36	ga_ls8c_ard_3-2-1_111080_2024-01-15_final
2024-01-17 11:15:26	ga_ls8c_ard_3-2-1_109078_2024-01-17_final
2024-01-22 09:55:03	ga_ls8c_ard_3-2-1_096078_2024-01-22_final
2024-01-22 09:57:03	ga_ls8c_ard_3-2-1_096083_2024-01-22_final
2024-01-25 10:25:06	ga_ls8c_ard_3-2-1_101076_2024-01-25_final
2024-01-25 10:26:42	ga_ls8c_ard_3-2-1_101080_2024-01-25_final
2024-01-29 09:59:11	ga_ls8c_ard_3-2-1_097073_2024-01-29_final
2024-01-29 10:03:11	ga_ls8c_ard_3-2-1_097083_2024-01-29_final
2024-02-02 09:36:07	ga_ls8c_ard_3-2-1_093077_2024-02-02_final
2024-02-02 09:37:18	ga_ls8c_ard_3-2-1_093080_2024-02-02_final
2024-02-07 09:56:41	ga_ls8c_ard_3-2-1_096082_2024-02-07_final
2024-02-11 09:31:33	ga_ls8c_ard_3-2-1_092081_2024-02-11_final
2024-02-11 09:32:45	ga_ls8c_ard_3-2-1_092084_2024-02-11_final
2024-02-13 09:19:59	ga_ls8c_ard_3-2-1_090083_2024-02-12_final
2024-02-14 10:00:26	ga_ls8c_ard_3-2-1_097076_2024-02-14_final
2024-02-14 11:40:07	ga_ls8c_ard_3-2-1_113078_2024-02-14_final
2024-02-15 10:43:17	ga_ls8c_ard_3-2-1_104075_2024-02-15_final
2024-02-16 09:50:51	ga_ls8c_ard_3-2-1_095083_2024-02-16_final
2024-02-16 11:26:57	ga_ls8c_ard_3-2-1_111076_2024-02-16_final
2024-02-17 10:32:07	ga_ls8c_ard_3-2-1_102078_2024-02-17_final
2024-02-17 10:32:31	ga_ls8c_ard_3-2-1_102079_2024-02-17_final
2024-02-18 11:16:11	ga_ls8c_ard_3-2-1_109080_2024-02-18_final
2024-02-22 10:51:27	ga_ls8c_ard_3-2-1_105080_2024-02-22_final
2024-02-26 10:25:06	ga_ls8c_ard_3-2-1_101076_2024-02-26_final
2024-03-01 11:40:01	ga_ls8c_ard_3-2-1_113078_2024-03-01_final
2024-03-02 10:45:10	ga_ls8c_ard_3-2-1_104080_2024-03-02_final
2024-03-03 11:28:25	ga_ls8c_ard_3-2-1_111080_2024-03-03_final
2024-03-05 09:35:56	ga_ls8c_ard_3-2-1_093077_2024-03-05_final
2024-03-12 09:43:40	ga_ls8c_ard_3-2-1_094081_2024-03-12_final
2024-03-15 10:12:09	ga_ls8c_ard_3-2-1_099075_2024-03-15_final
2024-03-16 10:57:00	ga_ls8c_ard_3-2-1_106079_2024-03-16_final
2024-03-29 10:26:40	ga_ls8c_ard_3-2-1_101081_2024-03-29_final
2024-03-30 09:30:15	ga_ls8c_ard_3-2-1_092079_2024-03-30_final
2024-03-30 09:32:15	ga_ls8c_ard_3-2-1_092084_2024-03-30_final
2024-04-04 09:49:12	ga_ls8c_ard_3-2-1_095080_2024-04-04_final
2024-04-04 09:50:24	ga_ls8c_ard_3-2-1_095083_2024-04-04_final
2024-04-06 11:14:32	ga_ls8c_ard_3-2-1_109077_2024-04-06_final
2024-04-06 11:14:56	ga_ls8c_ard_3-2-1_109078_2024-04-06_final
2024-04-08 09:23:41	ga_ls8c_ard_3-2-1_091078_2024-04-07_final
2024-04-08 11:00:10	ga_ls8c_ard_3-2-1_107072_2024-04-08_final
2024-04-08 11:02:57	ga_ls8c_ard_3-2-1_107079_2024-04-08_final
2024-04-09 10:05:44	ga_ls8c_ard_3-2-1_098075_2024-04-09_final
2024-04-10 10:47:24	ga_ls8c_ard_3-2-1_105071_2024-04-10_final
2024-04-14 10:24:14	ga_ls8c_ard_3-2-1_101075_2024-04-14_final
2024-04-15 09:29:24	ga_ls8c_ard_3-2-1_092077_2024-04-14_final
2024-04-24 11:00:01	ga_ls8c_ard_3-2-1_107072_2024-04-24_final
2024-04-27 09:52:00	ga_ls8c_ard_3-2-1_096072_2024-04-27_final
2024-04-28 10:34:51	ga_ls8c_ard_3-2-1_103071_2024-04-28_final
2024-04-28 10:35:39	ga_ls8c_ard_3-2-1_103073_2024-04-28_final
2024-04-29 09:43:12	ga_ls8c_ard_3-2-1_094081_2024-04-29_final
2024-04-29 09:44:00	ga_ls8c_ard_3-2-1_094083_2024-04-29_final
2024-05-01 09:32:00	ga_ls8c_ard_3-2-1_092084_2024-05-01_final
2024-05-08 09:36:31	ga_ls8c_ard_3-2-1_093080_2024-05-08_final
2024-05-10 11:00:14	ga_ls8c_ard_3-2-1_107073_2024-05-10_final
2024-05-10 11:01:50	ga_ls8c_ard_3-2-1_107077_2024-05-10_final
2024-05-12 10:47:02	ga_ls8c_ard_3-2-1_105071_2024-05-12_final
2024-05-14 10:35:25	ga_ls8c_ard_3-2-1_103073_2024-05-14_final
2024-05-15 09:43:45	ga_ls8c_ard_3-2-1_094083_2024-05-15_final
2024-05-15 11:20:38	ga_ls8c_ard_3-2-1_110078_2024-05-15_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