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
2013-11-28 10:10:21	ga_ls8c_ard_3-2-1_099066_2013-11-28_final
2013-12-30 10:10:09	ga_ls8c_ard_3-2-1_099066_2013-12-30_final
2015-10-01 10:08:45	ga_ls8c_ard_3-2-1_099066_2015-10-01_final
2020-01-08 12:37:39	ga_ls8c_ard_3-2-1_123067_2020-01-08_final
2021-01-06 08:10:58	ga_ls8c_ard_3-2-1_079080_2021-01-05_final
2022-09-09 11:57:59	ga_ls8c_ard_3-2-1_116075_2022-09-09_final
2022-11-28 11:57:57	ga_ls8c_ard_3-2-1_116075_2022-11-28_final
2023-10-23 10:08:54	ga_ls8c_ard_3-2-1_099066_2023-10-23_final
2023-12-19 10:05:10	ga_ls8c_ard_3-2-1_098072_2023-12-19_final
2023-12-21 11:35:41	ga_ls8c_ard_3-2-1_112082_2023-12-21_final
2023-12-23 11:20:31	ga_ls8c_ard_3-2-1_110075_2023-12-23_final
2023-12-25 09:34:51	ga_ls8c_ard_3-2-1_092089_2023-12-25_final
2023-12-26 10:14:31	ga_ls8c_ard_3-2-1_099080_2023-12-26_final
2023-12-27 09:18:05	ga_ls8c_ard_3-2-1_090078_2023-12-26_final
2023-12-30 11:25:27	ga_ls8c_ard_3-2-1_111072_2023-12-30_final
2024-01-03 11:01:52	ga_ls8c_ard_3-2-1_107075_2024-01-03_final
2024-01-04 11:45:06	ga_ls8c_ard_3-2-1_114075_2024-01-04_final
2024-01-05 10:48:16	ga_ls8c_ard_3-2-1_105072_2024-01-05_final
2024-01-06 09:57:51	ga_ls8c_ard_3-2-1_096085_2024-01-06_final
2024-01-07 10:37:56	ga_ls8c_ard_3-2-1_103077_2024-01-07_final
2024-01-08 11:21:12	ga_ls8c_ard_3-2-1_110077_2024-01-08_final
2024-01-19 09:28:10	ga_ls8c_ard_3-2-1_091088_2024-01-18_final
2024-01-29 10:01:11	ga_ls8c_ard_3-2-1_097078_2024-01-29_final
2024-01-29 11:40:04	ga_ls8c_ard_3-2-1_113078_2024-01-29_final
2024-01-30 10:45:15	ga_ls8c_ard_3-2-1_104080_2024-01-30_final
2024-02-02 11:13:00	ga_ls8c_ard_3-2-1_109072_2024-02-02_final
2024-02-03 11:58:40	ga_ls8c_ard_3-2-1_116078_2024-02-03_final
2024-02-04 11:00:15	ga_ls8c_ard_3-2-1_107071_2024-02-04_final
2024-02-04 11:04:15	ga_ls8c_ard_3-2-1_107081_2024-02-04_final
2024-02-05 10:08:14	ga_ls8c_ard_3-2-1_098080_2024-02-05_final
2024-02-06 10:46:19	ga_ls8c_ard_3-2-1_105067_2024-02-06_final
2024-02-06 10:49:30	ga_ls8c_ard_3-2-1_105075_2024-02-06_final
2024-02-07 09:52:41	ga_ls8c_ard_3-2-1_096072_2024-02-07_final
2024-02-08 10:34:45	ga_ls8c_ard_3-2-1_103069_2024-02-08_final
2024-02-08 10:37:57	ga_ls8c_ard_3-2-1_103077_2024-02-08_final
2024-02-10 10:25:11	ga_ls8c_ard_3-2-1_101076_2024-02-10_final
2024-02-11 11:06:03	ga_ls8c_ard_3-2-1_108070_2024-02-11_final
2024-02-12 10:16:00	ga_ls8c_ard_3-2-1_099084_2024-02-12_final
2024-02-12 10:16:24	ga_ls8c_ard_3-2-1_099085_2024-02-12_final
2024-02-14 10:04:02	ga_ls8c_ard_3-2-1_097085_2024-02-14_final
2024-02-16 09:46:28	ga_ls8c_ard_3-2-1_095072_2024-02-16_final
2024-02-17 10:28:56	ga_ls8c_ard_3-2-1_102070_2024-02-17_final
2024-02-18 09:35:18	ga_ls8c_ard_3-2-1_093075_2024-02-18_final
2024-02-19 10:21:46	ga_ls8c_ard_3-2-1_100083_2024-02-19_final
2024-02-19 10:22:10	ga_ls8c_ard_3-2-1_100084_2024-02-19_final
2024-02-20 09:23:44	ga_ls8c_ard_3-2-1_091077_2024-02-19_final
2024-02-20 09:28:08	ga_ls8c_ard_3-2-1_091088_2024-02-19_final
2024-02-21 10:08:12	ga_ls8c_ard_3-2-1_098080_2024-02-21_final
2024-02-21 10:10:12	ga_ls8c_ard_3-2-1_098085_2024-02-21_final
2024-02-21 11:45:53	ga_ls8c_ard_3-2-1_114077_2024-02-21_final
2024-02-22 10:49:27	ga_ls8c_ard_3-2-1_105075_2024-02-22_final
2024-02-23 11:36:18	ga_ls8c_ard_3-2-1_112084_2024-02-23_final
2024-02-24 10:34:18	ga_ls8c_ard_3-2-1_103068_2024-02-24_final
2024-02-25 09:42:15	ga_ls8c_ard_3-2-1_094077_2024-02-25_final
2024-02-25 11:18:45	ga_ls8c_ard_3-2-1_110071_2024-02-25_final
2024-02-29 09:18:17	ga_ls8c_ard_3-2-1_090079_2024-02-28_final
2024-03-01 11:38:49	ga_ls8c_ard_3-2-1_113075_2024-03-01_final
2024-03-04 10:29:11	ga_ls8c_ard_3-2-1_102071_2024-03-04_final
2024-03-07 09:23:08	ga_ls8c_ard_3-2-1_091076_2024-03-06_final
2024-03-07 09:27:56	ga_ls8c_ard_3-2-1_091088_2024-03-06_final
2024-03-07 11:05:13	ga_ls8c_ard_3-2-1_107084_2024-03-07_final
2024-03-08 10:06:00	ga_ls8c_ard_3-2-1_098075_2024-03-08_final
2024-03-08 10:06:24	ga_ls8c_ard_3-2-1_098076_2024-03-08_final
2024-03-08 10:09:12	ga_ls8c_ard_3-2-1_098083_2024-03-08_final
2024-03-08 11:45:17	ga_ls8c_ard_3-2-1_114076_2024-03-08_final
2024-03-08 11:45:41	ga_ls8c_ard_3-2-1_114077_2024-03-08_final
2024-03-12 11:21:21	ga_ls8c_ard_3-2-1_110078_2024-03-12_final
2024-03-13 10:23:20	ga_ls8c_ard_3-2-1_101072_2024-03-13_final
2024-03-13 10:25:19	ga_ls8c_ard_3-2-1_101077_2024-03-13_final
2024-03-14 11:06:35	ga_ls8c_ard_3-2-1_108072_2024-03-14_final
2024-03-17 10:01:46	ga_ls8c_ard_3-2-1_097080_2024-03-17_final
2024-03-21 09:38:59	ga_ls8c_ard_3-2-1_093085_2024-03-21_final
2024-03-21 11:13:05	ga_ls8c_ard_3-2-1_109073_2024-03-21_final
2024-03-21 11:13:28	ga_ls8c_ard_3-2-1_109074_2024-03-21_final
2024-03-23 09:24:59	ga_ls8c_ard_3-2-1_091081_2024-03-22_final
2024-03-26 09:51:49	ga_ls8c_ard_3-2-1_096071_2024-03-26_final
2024-03-30 11:06:45	ga_ls8c_ard_3-2-1_108073_2024-03-30_final
2024-04-01 09:20:18	ga_ls8c_ard_3-2-1_090085_2024-03-31_final
2024-04-03 10:41:14	ga_ls8c_ard_3-2-1_104071_2024-04-03_final
2024-04-05 10:28:53	ga_ls8c_ard_3-2-1_102071_2024-04-05_final
2024-04-06 11:11:44	ga_ls8c_ard_3-2-1_109070_2024-04-06_final
2024-04-07 11:56:59	ga_ls8c_ard_3-2-1_116075_2024-04-07_final
2024-04-08 09:24:05	ga_ls8c_ard_3-2-1_091079_2024-04-07_final
2024-04-08 11:04:57	ga_ls8c_ard_3-2-1_107084_2024-04-08_final
2024-04-10 09:12:30	ga_ls8c_ard_3-2-1_089081_2024-04-09_final
2024-04-15 11:05:29	ga_ls8c_ard_3-2-1_108070_2024-04-15_final
2024-04-17 10:53:05	ga_ls8c_ard_3-2-1_106070_2024-04-17_final
2024-04-19 10:45:28	ga_ls8c_ard_3-2-1_104082_2024-04-19_final
2024-04-22 09:39:30	ga_ls8c_ard_3-2-1_093087_2024-04-22_final
2024-04-24 11:04:01	ga_ls8c_ard_3-2-1_107082_2024-04-24_final
2024-04-25 10:04:23	ga_ls8c_ard_3-2-1_098072_2024-04-25_final
2024-04-27 11:35:41	ga_ls8c_ard_3-2-1_112084_2024-04-27_final
2024-04-29 11:19:17	ga_ls8c_ard_3-2-1_110074_2024-04-29_final
2024-04-29 11:22:53	ga_ls8c_ard_3-2-1_110083_2024-04-29_final
2024-05-01 09:32:48	ga_ls8c_ard_3-2-1_092086_2024-05-01_final
2024-05-02 10:13:39	ga_ls8c_ard_3-2-1_099080_2024-05-02_final
2024-05-02 11:50:32	ga_ls8c_ard_3-2-1_115075_2024-05-02_final
2024-05-04 09:58:29	ga_ls8c_ard_3-2-1_097073_2024-05-04_final
2024-05-06 11:25:24	ga_ls8c_ard_3-2-1_111074_2024-05-06_final
2024-05-06 11:28:59	ga_ls8c_ard_3-2-1_111083_2024-05-06_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