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
2021-07-19 09:34:47	ga_ls8c_ard_3-2-0_093074_2021-07-19_final
2021-07-22 11:44:36	ga_ls8c_ard_3-2-0_114074_2021-07-22_final
2021-07-28 11:09:58	ga_ls8c_ard_3-2-0_108080_2021-07-28_final
2021-07-31 09:58:49	ga_ls8c_ard_3-2-0_097072_2021-07-31_final
2021-08-01 10:46:04	ga_ls8c_ard_3-2-0_104082_2021-08-01_final
2021-08-02 11:28:57	ga_ls8c_ard_3-2-0_111081_2021-08-02_final
2021-08-04 09:35:19	ga_ls8c_ard_3-2-0_093075_2021-08-04_final
2021-08-07 11:45:31	ga_ls8c_ard_3-2-0_114076_2021-08-07_final
2021-08-12 10:23:13	ga_ls8c_ard_3-2-0_101071_2021-08-12_final
2021-08-17 10:40:59	ga_ls8c_ard_3-2-0_104069_2021-08-17_final
2021-08-18 09:50:57	ga_ls8c_ard_3-2-0_095083_2021-08-18_final
2021-08-20 11:16:41	ga_ls8c_ard_3-2-0_109081_2021-08-20_final
2021-08-23 11:44:48	ga_ls8c_ard_3-2-0_114074_2021-08-23_final
2021-08-26 10:36:50	ga_ls8c_ard_3-2-0_103074_2021-08-26_final
2021-08-28 10:25:41	ga_ls8c_ard_3-2-0_101077_2021-08-28_final
2021-09-03 11:26:43	ga_ls8c_ard_3-2-0_111075_2021-09-03_final
2021-09-07 11:04:25	ga_ls8c_ard_3-2-0_107081_2021-09-07_final
2021-09-09 09:14:23	ga_ls8c_ard_3-2-0_089084_2021-09-08_final
2021-09-11 10:38:07	ga_ls8c_ard_3-2-0_103077_2021-09-11_final
2021-09-16 09:18:11	ga_ls8c_ard_3-2-0_090078_2021-09-15_final
2021-09-17 09:59:51	ga_ls8c_ard_3-2-0_097074_2021-09-17_final
2021-09-20 10:31:09	ga_ls8c_ard_3-2-0_102075_2021-09-20_final
2021-09-21 09:39:08	ga_ls8c_ard_3-2-0_093084_2021-09-21_final
2021-09-23 09:26:22	ga_ls8c_ard_3-2-0_091083_2021-09-22_final
2021-09-23 11:02:52	ga_ls8c_ard_3-2-0_107077_2021-09-23_final
2021-09-26 11:36:11	ga_ls8c_ard_3-2-0_112083_2021-09-26_final
2021-09-27 10:36:58	ga_ls8c_ard_3-2-0_103074_2021-09-27_final
2021-09-27 10:39:22	ga_ls8c_ard_3-2-0_103080_2021-09-27_final
2021-10-02 09:20:15	ga_ls8c_ard_3-2-0_090083_2021-10-01_final
2021-10-03 10:02:43	ga_ls8c_ard_3-2-0_097081_2021-10-03_final
2021-10-03 10:03:31	ga_ls8c_ard_3-2-0_097083_2021-10-03_final
2021-10-07 11:12:31	ga_ls8c_ard_3-2-0_109070_2021-10-07_final
2021-10-09 11:04:33	ga_ls8c_ard_3-2-0_107081_2021-10-09_final
2021-10-14 11:23:31	ga_ls8c_ard_3-2-0_110082_2021-10-14_final
2021-10-15 10:24:42	ga_ls8c_ard_3-2-0_101074_2021-10-15_final
2021-10-22 10:32:06	ga_ls8c_ard_3-2-0_102077_2021-10-22_final
2021-11-01 11:11:58	ga_ls8c_ard_3-2-0_108084_2021-11-01_final
2021-11-12 10:48:11	ga_ls8c_ard_3-2-0_105071_2021-11-12_final
2021-11-13 09:53:21	ga_ls8c_ard_3-2-0_096073_2021-11-13_final
2021-11-13 09:53:45	ga_ls8c_ard_3-2-0_096074_2021-11-13_final
2021-11-15 11:23:27	ga_ls8c_ard_3-2-0_110082_2021-11-15_final
2021-11-17 09:30:12	ga_ls8c_ard_3-2-0_092077_2021-11-17_final
2021-11-19 09:18:38	ga_ls8c_ard_3-2-0_090079_2021-11-18_final
2021-11-19 10:56:43	ga_ls8c_ard_3-2-0_106077_2021-11-19_final
2021-11-20 10:01:06	ga_ls8c_ard_3-2-0_097077_2021-11-20_final
2021-11-22 09:51:08	ga_ls8c_ard_3-2-0_095083_2021-11-22_final
2021-11-24 09:37:59	ga_ls8c_ard_3-2-0_093081_2021-11-24_final
2021-11-24 11:12:53	ga_ls8c_ard_3-2-0_109071_2021-11-24_final
2021-12-07 10:44:23	ga_ls8c_ard_3-2-1_104077_2021-12-07_final
2021-12-08 11:30:02	ga_ls8c_ard_3-2-1_111083_2021-12-08_final
2021-12-09 10:32:01	ga_ls8c_ard_3-2-1_102077_2021-12-09_final
2021-12-11 10:18:27	ga_ls8c_ard_3-2-1_100074_2021-12-11_final
2021-12-12 09:26:02	ga_ls8c_ard_3-2-1_091082_2021-12-11_final
2021-12-12 09:28:49	ga_ls8c_ard_3-2-1_091089_2021-12-11_final
2021-12-13 10:05:42	ga_ls8c_ard_3-2-1_098073_2021-12-13_final
2021-12-14 10:47:45	ga_ls8c_ard_3-2-1_105070_2021-12-14_final
2021-12-15 11:33:01	ga_ls8c_ard_3-2-1_112075_2021-12-15_final
2021-12-17 09:46:09	ga_ls8c_ard_3-2-1_094086_2021-12-17_final
2021-12-26 09:37:31	ga_ls8c_ard_3-2-1_093080_2021-12-26_final
2021-12-26 09:39:07	ga_ls8c_ard_3-2-1_093084_2021-12-26_final
2021-12-31 11:32:55	ga_ls8c_ard_3-2-1_112075_2021-12-31_final
2022-01-01 10:39:17	ga_ls8c_ard_3-2-1_103080_2022-01-01_final
2022-01-07 09:59:24	ga_ls8c_ard_3-2-1_097073_2022-01-07_final
2022-01-08 10:45:27	ga_ls8c_ard_3-2-1_104080_2022-01-08_final
2022-01-11 09:39:28	ga_ls8c_ard_3-2-1_093085_2022-01-11_final
2022-01-12 10:18:44	ga_ls8c_ard_3-2-1_100075_2022-01-12_final
2022-01-16 09:57:11	ga_ls8c_ard_3-2-1_096083_2022-01-16_final
2022-01-19 10:26:29	ga_ls8c_ard_3-2-1_101079_2022-01-19_final
2022-11-25 11:29:50	ga_ls8c_ard_3-2-1_111082_2022-11-25_final
2022-11-26 10:32:37	ga_ls8c_ard_3-2-1_102078_2022-11-26_final
2022-11-26 10:33:01	ga_ls8c_ard_3-2-1_102079_2022-11-26_final
2022-11-27 09:37:48	ga_ls8c_ard_3-2-1_093080_2022-11-27_final
2022-11-29 11:01:32	ga_ls8c_ard_3-2-1_107073_2022-11-29_final
2022-11-29 11:04:43	ga_ls8c_ard_3-2-1_107081_2022-11-29_final
2022-11-30 10:07:06	ga_ls8c_ard_3-2-1_098076_2022-11-30_final
2022-12-01 10:48:46	ga_ls8c_ard_3-2-1_105072_2022-12-01_final
2022-12-04 09:45:10	ga_ls8c_ard_3-2-1_094083_2022-12-04_final
2022-12-09 10:02:54	ga_ls8c_ard_3-2-1_097081_2022-12-09_final
2022-12-09 11:41:23	ga_ls8c_ard_3-2-1_113080_2022-12-09_final
2022-12-16 11:47:06	ga_ls8c_ard_3-2-1_114079_2022-12-16_final
2022-12-18 09:53:50	ga_ls8c_ard_3-2-1_096074_2022-12-18_final
2022-12-21 10:25:05	ga_ls8c_ard_3-2-1_101075_2022-12-21_final
2022-12-27 11:30:05	ga_ls8c_ard_3-2-1_111083_2022-12-27_final
2022-12-29 09:38:03	ga_ls8c_ard_3-2-1_093081_2022-12-29_final
2022-12-31 09:26:29	ga_ls8c_ard_3-2-1_091083_2022-12-30_final
2023-01-06 10:25:29	ga_ls8c_ard_3-2-1_101076_2023-01-06_final
2023-01-07 09:33:51	ga_ls8c_ard_3-2-1_092086_2023-01-07_final
2023-01-07 11:10:20	ga_ls8c_ard_3-2-1_108080_2023-01-07_final
2023-01-10 11:39:38	ga_ls8c_ard_3-2-1_113076_2023-01-10_final
2023-01-12 11:30:02	ga_ls8c_ard_3-2-1_111083_2023-01-12_final
2023-01-15 10:21:13	ga_ls8c_ard_3-2-1_100081_2023-01-15_final
2023-01-16 11:02:52	ga_ls8c_ard_3-2-1_107077_2023-01-16_final
2023-01-16 11:03:40	ga_ls8c_ard_3-2-1_107079_2023-01-16_final
2023-01-20 10:35:45	ga_ls8c_ard_3-2-1_103071_2023-01-20_final
2023-01-22 10:25:25	ga_ls8c_ard_3-2-1_101076_2023-01-22_final
2023-01-24 11:51:10	ga_ls8c_ard_3-2-1_115074_2023-01-24_final
2023-01-25 09:19:03	ga_ls8c_ard_3-2-1_090080_2023-01-24_final
2023-02-20 11:35:38	ga_ls8c_ard_3-2-1_112082_2023-02-20_final
2023-02-23 10:25:59	ga_ls8c_ard_3-2-1_101078_2023-02-23_final
2023-02-26 09:19:09	ga_ls8c_ard_3-2-1_090081_2023-02-25_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