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
2020-09-16 08:10:58	ga_ls8c_ard_3-2-1_079080_2020-09-15_final
2022-03-12 11:42:24	ga_ls8c_ard_3-2-1_113084_2022-03-12_final
2022-05-23 09:15:39	ga_ls8c_ard_3-2-1_089088_2022-05-22_final
2022-11-23 11:42:59	ga_ls8c_ard_3-2-1_113084_2022-11-23_final
2023-01-24 10:09:05	ga_ls8c_ard_3-2-1_099066_2023-01-24_final
2023-10-16 11:46:47	ga_ls8c_ard_3-2-1_114079_2023-10-16_final
2023-11-01 10:05:34	ga_ls8c_ard_3-2-1_098073_2023-11-01_final
2023-11-03 09:53:35	ga_ls8c_ard_3-2-1_096074_2023-11-03_final
2023-11-03 11:32:52	ga_ls8c_ard_3-2-1_112075_2023-11-03_final
2023-11-05 11:22:54	ga_ls8c_ard_3-2-1_110081_2023-11-05_final
2023-11-07 11:06:31	ga_ls8c_ard_3-2-1_108071_2023-11-07_final
2023-11-13 10:32:13	ga_ls8c_ard_3-2-1_102078_2023-11-13_final
2023-11-14 09:35:25	ga_ls8c_ard_3-2-1_093075_2023-11-14_final
2023-11-14 11:13:30	ga_ls8c_ard_3-2-1_109073_2023-11-14_final
2023-11-15 10:17:30	ga_ls8c_ard_3-2-1_100072_2023-11-15_final
2023-11-18 09:16:44	ga_ls8c_ard_3-2-1_089090_2023-11-17_final
2023-11-22 10:23:20	ga_ls8c_ard_3-2-1_101071_2023-11-22_final
2023-11-22 10:24:56	ga_ls8c_ard_3-2-1_101075_2023-11-22_final
2023-11-24 10:09:23	ga_ls8c_ard_3-2-1_099067_2023-11-24_final
2023-11-28 09:50:14	ga_ls8c_ard_3-2-1_095081_2023-11-28_final
2023-12-01 10:17:54	ga_ls8c_ard_3-2-1_100073_2023-12-01_final
2023-12-03 10:06:18	ga_ls8c_ard_3-2-1_098075_2023-12-03_final
2023-12-03 10:07:06	ga_ls8c_ard_3-2-1_098077_2023-12-03_final
2023-12-03 11:45:11	ga_ls8c_ard_3-2-1_114075_2023-12-03_final
2023-12-04 10:48:21	ga_ls8c_ard_3-2-1_105072_2023-12-04_final
2023-12-05 09:53:06	ga_ls8c_ard_3-2-1_096073_2023-12-05_final
2023-12-07 11:21:11	ga_ls8c_ard_3-2-1_110077_2023-12-07_final
2023-12-10 10:09:39	ga_ls8c_ard_3-2-1_099068_2023-12-10_final
2023-12-11 10:56:55	ga_ls8c_ard_3-2-1_106078_2023-12-11_final
2023-12-12 09:59:19	ga_ls8c_ard_3-2-1_097073_2023-12-12_final
2023-12-12 11:42:12	ga_ls8c_ard_3-2-1_113083_2023-12-12_final
2023-12-13 10:44:35	ga_ls8c_ard_3-2-1_104078_2023-12-13_final
2023-12-16 11:13:07	ga_ls8c_ard_3-2-1_109072_2023-12-16_final
2023-12-17 11:58:47	ga_ls8c_ard_3-2-1_116078_2023-12-17_final
2023-12-19 11:45:14	ga_ls8c_ard_3-2-1_114075_2023-12-19_final
2023-12-20 10:52:25	ga_ls8c_ard_3-2-1_105082_2023-12-20_final
2023-12-21 09:52:48	ga_ls8c_ard_3-2-1_096072_2023-12-21_final
2023-12-21 09:57:12	ga_ls8c_ard_3-2-1_096083_2023-12-21_final
2023-12-26 10:12:31	ga_ls8c_ard_3-2-1_099075_2023-12-26_final
2023-12-27 10:56:34	ga_ls8c_ard_3-2-1_106077_2023-12-27_final
2023-12-28 09:59:21	ga_ls8c_ard_3-2-1_097073_2023-12-28_final
2023-12-28 11:39:50	ga_ls8c_ard_3-2-1_113077_2023-12-28_final
2023-12-31 10:31:24	ga_ls8c_ard_3-2-1_102076_2023-12-31_final
2023-12-31 10:32:12	ga_ls8c_ard_3-2-1_102078_2023-12-31_final
2024-01-02 11:58:18	ga_ls8c_ard_3-2-1_116077_2024-01-02_final
2024-01-04 10:05:25	ga_ls8c_ard_3-2-1_098073_2024-01-04_final
2024-01-04 11:45:06	ga_ls8c_ard_3-2-1_114075_2024-01-04_final
2024-01-09 10:27:59	ga_ls8c_ard_3-2-1_101083_2024-01-09_final
2024-01-10 09:31:58	ga_ls8c_ard_3-2-1_092082_2024-01-10_final
2024-01-10 11:06:52	ga_ls8c_ard_3-2-1_108072_2024-01-10_final
2024-01-11 10:10:51	ga_ls8c_ard_3-2-1_099071_2024-01-11_final
2024-01-11 10:12:26	ga_ls8c_ard_3-2-1_099075_2024-01-11_final
2024-01-13 11:39:46	ga_ls8c_ard_3-2-1_113077_2024-01-13_final
2024-01-15 11:27:01	ga_ls8c_ard_3-2-1_111076_2024-01-15_final
2024-01-15 11:29:00	ga_ls8c_ard_3-2-1_111081_2024-01-15_final
2024-01-19 09:23:47	ga_ls8c_ard_3-2-1_091077_2024-01-18_final
2024-01-19 09:28:10	ga_ls8c_ard_3-2-1_091088_2024-01-18_final
2024-01-20 10:05:50	ga_ls8c_ard_3-2-1_098074_2024-01-20_final
2024-01-20 11:46:43	ga_ls8c_ard_3-2-1_114079_2024-01-20_final
2024-01-21 10:46:18	ga_ls8c_ard_3-2-1_105067_2024-01-21_final
2024-01-22 09:53:27	ga_ls8c_ard_3-2-1_096074_2024-01-22_final
2024-01-24 11:19:57	ga_ls8c_ard_3-2-1_110074_2024-01-24_final
2024-01-24 11:23:08	ga_ls8c_ard_3-2-1_110082_2024-01-24_final
2024-01-29 11:39:40	ga_ls8c_ard_3-2-1_113077_2024-01-29_final
2024-01-30 10:41:16	ga_ls8c_ard_3-2-1_104070_2024-01-30_final
2024-01-30 10:43:40	ga_ls8c_ard_3-2-1_104076_2024-01-30_final
2024-02-01 10:29:44	ga_ls8c_ard_3-2-1_102072_2024-02-01_final
2024-02-01 10:32:07	ga_ls8c_ard_3-2-1_102078_2024-02-01_final
2024-02-05 10:07:02	ga_ls8c_ard_3-2-1_098077_2024-02-05_final
2024-02-10 10:27:59	ga_ls8c_ard_3-2-1_101083_2024-02-10_final
2024-02-12 10:08:50	ga_ls8c_ard_3-2-1_099066_2024-02-12_final
2024-02-12 10:14:01	ga_ls8c_ard_3-2-1_099079_2024-02-12_final
2024-02-14 11:42:07	ga_ls8c_ard_3-2-1_113083_2024-02-14_final
2024-02-15 10:42:05	ga_ls8c_ard_3-2-1_104072_2024-02-15_final
2024-02-17 10:32:07	ga_ls8c_ard_3-2-1_102078_2024-02-17_final
2024-02-23 09:57:01	ga_ls8c_ard_3-2-1_096083_2024-02-23_final
2024-02-24 10:35:53	ga_ls8c_ard_3-2-1_103072_2024-02-24_final
2024-02-26 10:25:06	ga_ls8c_ard_3-2-1_101076_2024-02-26_final
2024-03-01 10:01:32	ga_ls8c_ard_3-2-1_097079_2024-03-01_final
2024-03-05 09:34:45	ga_ls8c_ard_3-2-1_093074_2024-03-05_final
2024-03-05 09:35:56	ga_ls8c_ard_3-2-1_093077_2024-03-05_final
2024-03-05 11:16:49	ga_ls8c_ard_3-2-1_109082_2024-03-05_final
2024-03-06 10:17:11	ga_ls8c_ard_3-2-1_100072_2024-03-06_final
2024-03-08 10:05:12	ga_ls8c_ard_3-2-1_098073_2024-03-08_final
2024-03-11 10:37:18	ga_ls8c_ard_3-2-1_103076_2024-03-11_final
2024-03-13 10:23:20	ga_ls8c_ard_3-2-1_101072_2024-03-13_final
2024-03-14 09:34:29	ga_ls8c_ard_3-2-1_092089_2024-03-14_final
2024-03-16 09:17:19	ga_ls8c_ard_3-2-1_090077_2024-03-15_final
2024-03-16 09:17:43	ga_ls8c_ard_3-2-1_090078_2024-03-15_final
2024-03-16 09:18:55	ga_ls8c_ard_3-2-1_090081_2024-03-15_final
2024-03-16 10:53:24	ga_ls8c_ard_3-2-1_106070_2024-03-16_final
2024-03-17 11:39:51	ga_ls8c_ard_3-2-1_113078_2024-03-17_final
2024-03-22 10:17:50	ga_ls8c_ard_3-2-1_100074_2024-03-22_final
2024-03-23 09:22:59	ga_ls8c_ard_3-2-1_091076_2024-03-22_final
2024-03-23 09:25:23	ga_ls8c_ard_3-2-1_091082_2024-03-22_final
2024-03-25 10:45:52	ga_ls8c_ard_3-2-1_105067_2024-03-25_final
2024-03-28 11:18:42	ga_ls8c_ard_3-2-1_110072_2024-03-28_final
2024-03-28 11:22:17	ga_ls8c_ard_3-2-1_110081_2024-03-28_final
2024-03-28 11:22:41	ga_ls8c_ard_3-2-1_110082_2024-03-28_final
2024-03-29 10:27:28	ga_ls8c_ard_3-2-1_101083_2024-03-29_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