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
2014-09-12 10:08:53	ga_ls8c_ard_3-2-1_099066_2014-09-12_final
2014-10-30 10:08:53	ga_ls8c_ard_3-2-1_099066_2014-10-30_final
2020-02-17 10:08:45	ga_ls8c_ard_3-2-1_099066_2020-02-17_final
2022-07-04 08:10:57	ga_ls8c_ard_3-2-1_079080_2022-07-03_final
2023-06-11 09:15:08	ga_ls8c_ard_3-2-1_089088_2023-06-10_final
2023-09-21 10:08:48	ga_ls8c_ard_3-2-1_099066_2023-09-21_final
2023-12-11 12:31:25	ga_ls8c_ard_3-2-1_122067_2023-12-11_final
2023-12-22 10:35:40	ga_ls8c_ard_3-2-1_103071_2023-12-22_final
2023-12-23 11:21:43	ga_ls8c_ard_3-2-1_110078_2023-12-23_final
2023-12-27 10:57:22	ga_ls8c_ard_3-2-1_106079_2023-12-27_final
2023-12-29 10:41:48	ga_ls8c_ard_3-2-1_104071_2023-12-29_final
2023-12-29 10:44:59	ga_ls8c_ard_3-2-1_104079_2023-12-29_final
2023-12-30 09:48:09	ga_ls8c_ard_3-2-1_095076_2023-12-30_final
2024-01-02 10:18:37	ga_ls8c_ard_3-2-1_100075_2024-01-02_final
2024-01-04 11:44:42	ga_ls8c_ard_3-2-1_114074_2024-01-04_final
2024-01-09 10:27:11	ga_ls8c_ard_3-2-1_101081_2024-01-09_final
2024-01-12 10:57:18	ga_ls8c_ard_3-2-1_106079_2024-01-12_final
2024-01-26 11:07:33	ga_ls8c_ard_3-2-1_108074_2024-01-26_final
2024-01-29 11:39:16	ga_ls8c_ard_3-2-1_113076_2024-01-29_final
2024-01-31 09:48:03	ga_ls8c_ard_3-2-1_095076_2024-01-31_final
2024-01-31 11:27:44	ga_ls8c_ard_3-2-1_111078_2024-01-31_final
2024-01-31 11:29:44	ga_ls8c_ard_3-2-1_111083_2024-01-31_final
2024-02-02 11:13:24	ga_ls8c_ard_3-2-1_109073_2024-02-02_final
2024-02-05 10:06:14	ga_ls8c_ard_3-2-1_098075_2024-02-05_final
2024-02-09 11:24:24	ga_ls8c_ard_3-2-1_110085_2024-02-09_final
2024-02-11 11:06:27	ga_ls8c_ard_3-2-1_108071_2024-02-11_final
2024-02-11 11:06:51	ga_ls8c_ard_3-2-1_108072_2024-02-11_final
2024-02-13 09:19:35	ga_ls8c_ard_3-2-1_090082_2024-02-12_final
2024-02-13 10:57:16	ga_ls8c_ard_3-2-1_106079_2024-02-13_final
2024-02-14 10:02:26	ga_ls8c_ard_3-2-1_097081_2024-02-14_final
2024-02-14 11:42:31	ga_ls8c_ard_3-2-1_113084_2024-02-14_final
2024-02-16 09:52:27	ga_ls8c_ard_3-2-1_095087_2024-02-16_final
2024-02-16 11:24:57	ga_ls8c_ard_3-2-1_111071_2024-02-16_final
2024-02-18 11:16:59	ga_ls8c_ard_3-2-1_109082_2024-02-18_final
2024-02-20 09:26:32	ga_ls8c_ard_3-2-1_091084_2024-02-19_final
2024-02-23 11:35:06	ga_ls8c_ard_3-2-1_112081_2024-02-23_final
2024-02-27 09:31:52	ga_ls8c_ard_3-2-1_092082_2024-02-27_final
2024-02-27 11:06:22	ga_ls8c_ard_3-2-1_108071_2024-02-27_final
2024-03-01 11:39:13	ga_ls8c_ard_3-2-1_113076_2024-03-01_final
2024-03-05 11:12:26	ga_ls8c_ard_3-2-1_109071_2024-03-05_final
2024-03-05 11:15:37	ga_ls8c_ard_3-2-1_109079_2024-03-05_final
2024-03-06 10:21:10	ga_ls8c_ard_3-2-1_100082_2024-03-06_final
2024-03-08 10:05:36	ga_ls8c_ard_3-2-1_098074_2024-03-08_final
2024-03-08 10:08:24	ga_ls8c_ard_3-2-1_098081_2024-03-08_final
2024-03-12 09:44:28	ga_ls8c_ard_3-2-1_094083_2024-03-12_final
2024-03-12 11:22:57	ga_ls8c_ard_3-2-1_110082_2024-03-12_final
2024-03-13 10:23:44	ga_ls8c_ard_3-2-1_101073_2024-03-13_final
2024-03-17 10:00:34	ga_ls8c_ard_3-2-1_097077_2024-03-17_final
2024-03-17 11:40:39	ga_ls8c_ard_3-2-1_113080_2024-03-17_final
2024-03-18 10:43:25	ga_ls8c_ard_3-2-1_104076_2024-03-18_final
2024-03-21 09:35:47	ga_ls8c_ard_3-2-1_093077_2024-03-21_final
2024-03-21 09:39:47	ga_ls8c_ard_3-2-1_093087_2024-03-21_final
2024-03-22 11:57:31	ga_ls8c_ard_3-2-1_116076_2024-03-22_final
2024-03-24 10:08:13	ga_ls8c_ard_3-2-1_098081_2024-03-24_final
2024-03-24 11:44:43	ga_ls8c_ard_3-2-1_114075_2024-03-24_final
2024-03-25 09:13:46	ga_ls8c_ard_3-2-1_089084_2024-03-24_final
2024-03-25 10:45:52	ga_ls8c_ard_3-2-1_105067_2024-03-25_final
2024-03-25 10:47:28	ga_ls8c_ard_3-2-1_105071_2024-03-25_final
2024-03-28 11:21:53	ga_ls8c_ard_3-2-1_110080_2024-03-28_final
2024-03-31 10:11:56	ga_ls8c_ard_3-2-1_099075_2024-03-31_final
2024-03-31 11:50:25	ga_ls8c_ard_3-2-1_115074_2024-03-31_final
2024-04-01 09:17:30	ga_ls8c_ard_3-2-1_090078_2024-03-31_final
2024-04-02 10:01:58	ga_ls8c_ard_3-2-1_097081_2024-04-02_final
2024-04-05 10:30:52	ga_ls8c_ard_3-2-1_102076_2024-04-05_final
2024-04-05 10:31:40	ga_ls8c_ard_3-2-1_102078_2024-04-05_final
2024-04-06 11:12:32	ga_ls8c_ard_3-2-1_109072_2024-04-06_final
2024-04-07 10:17:42	ga_ls8c_ard_3-2-1_100074_2024-04-07_final
2024-04-09 10:05:44	ga_ls8c_ard_3-2-1_098075_2024-04-09_final
2024-04-11 09:52:34	ga_ls8c_ard_3-2-1_096073_2024-04-11_final
2024-04-14 10:23:02	ga_ls8c_ard_3-2-1_101072_2024-04-14_final
2024-04-15 09:29:24	ga_ls8c_ard_3-2-1_092077_2024-04-14_final
2024-04-15 11:06:17	ga_ls8c_ard_3-2-1_108072_2024-04-15_final
2024-04-17 09:21:24	ga_ls8c_ard_3-2-1_090088_2024-04-16_final
2024-04-17 10:54:17	ga_ls8c_ard_3-2-1_106073_2024-04-17_final
2024-04-19 10:42:17	ga_ls8c_ard_3-2-1_104074_2024-04-19_final
2024-04-19 10:43:05	ga_ls8c_ard_3-2-1_104076_2024-04-19_final
2024-04-21 10:31:07	ga_ls8c_ard_3-2-1_102077_2024-04-21_final
2024-04-22 09:34:18	ga_ls8c_ard_3-2-1_093074_2024-04-22_final
2024-04-22 09:39:30	ga_ls8c_ard_3-2-1_093087_2024-04-22_final
2024-04-24 09:24:44	ga_ls8c_ard_3-2-1_091081_2024-04-23_final
2024-04-24 10:59:13	ga_ls8c_ard_3-2-1_107070_2024-04-24_final
2024-04-25 10:06:23	ga_ls8c_ard_3-2-1_098077_2024-04-25_final
2024-04-27 11:32:05	ga_ls8c_ard_3-2-1_112075_2024-04-27_final
2024-04-27 11:34:29	ga_ls8c_ard_3-2-1_112081_2024-04-27_final
2024-04-29 09:40:48	ga_ls8c_ard_3-2-1_094075_2024-04-29_final
2024-04-29 09:44:00	ga_ls8c_ard_3-2-1_094083_2024-04-29_final
2024-04-29 11:22:29	ga_ls8c_ard_3-2-1_110082_2024-04-29_final
2024-04-30 10:25:39	ga_ls8c_ard_3-2-1_101079_2024-04-30_final
2024-04-30 10:27:14	ga_ls8c_ard_3-2-1_101083_2024-04-30_final
2024-05-03 09:18:49	ga_ls8c_ard_3-2-1_090082_2024-05-02_final
2024-05-04 10:02:04	ga_ls8c_ard_3-2-1_097082_2024-05-04_final
2024-05-07 10:29:22	ga_ls8c_ard_3-2-1_102073_2024-05-07_final
2024-05-08 09:33:20	ga_ls8c_ard_3-2-1_093072_2024-05-08_final
2024-05-08 11:11:01	ga_ls8c_ard_3-2-1_109069_2024-05-08_final
2024-05-09 10:20:58	ga_ls8c_ard_3-2-1_100083_2024-05-09_final
2024-05-15 09:44:57	ga_ls8c_ard_3-2-1_094086_2024-05-15_final
2024-05-15 11:17:51	ga_ls8c_ard_3-2-1_110071_2024-05-15_final
2024-05-16 10:23:00	ga_ls8c_ard_3-2-1_101073_2024-05-16_final
2024-05-18 11:52:19	ga_ls8c_ard_3-2-1_115080_2024-05-18_final
2024-05-22 11:28:22	ga_ls8c_ard_3-2-1_111082_2024-05-22_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