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
2021-05-02 09:28:24	ga_ls8c_ard_3-2-0_091090_2021-05-01_final
2021-05-03 10:03:40	ga_ls8c_ard_3-2-0_098070_2021-05-03_final
2021-05-05 11:29:22	ga_ls8c_ard_3-2-0_112068_2021-05-05_final
2021-05-08 10:26:11	ga_ls8c_ard_3-2-0_101080_2021-05-08_final
2021-06-13 09:58:11	ga_ls8c_ard_3-2-0_097071_2021-06-13_final
2021-06-20 10:08:00	ga_ls8c_ard_3-2-0_098080_2021-06-20_final
2021-07-10 09:46:07	ga_ls8c_ard_3-2-0_094087_2021-07-10_final
2021-08-13 09:34:23	ga_ls8c_ard_3-2-0_092088_2021-08-13_final
2021-08-30 10:09:45	ga_ls8c_ard_3-2-0_099068_2021-08-30_final
2021-09-14 11:07:26	ga_ls8c_ard_3-2-0_108073_2021-09-14_final
2021-09-16 09:17:47	ga_ls8c_ard_3-2-0_090077_2021-09-15_final
2021-09-21 11:12:49	ga_ls8c_ard_3-2-0_109071_2021-09-21_final
2021-09-24 10:04:03	ga_ls8c_ard_3-2-0_098069_2021-09-24_final
2021-09-28 09:45:45	ga_ls8c_ard_3-2-0_094085_2021-09-28_final
2021-09-30 11:11:29	ga_ls8c_ard_3-2-0_108083_2021-09-30_final
2021-10-05 11:23:40	ga_ls8c_ard_3-2-0_111067_2021-10-05_final
2021-10-05 11:24:52	ga_ls8c_ard_3-2-0_111070_2021-10-05_final
2021-10-07 11:12:07	ga_ls8c_ard_3-2-0_109069_2021-10-07_final
2021-10-09 11:00:34	ga_ls8c_ard_3-2-0_107071_2021-10-09_final
2021-10-24 10:19:20	ga_ls8c_ard_3-2-0_100076_2021-10-24_final
2021-10-30 11:21:08	ga_ls8c_ard_3-2-0_110076_2021-10-30_final
2021-11-05 10:40:50	ga_ls8c_ard_3-2-0_104068_2021-11-05_final
2021-11-05 10:43:14	ga_ls8c_ard_3-2-0_104074_2021-11-05_final
2021-11-24 11:13:40	ga_ls8c_ard_3-2-0_109073_2021-11-24_final
2021-12-03 09:28:14	ga_ls8c_ard_3-2-0_092072_2021-12-02_final
2021-12-08 11:29:14	ga_ls8c_ard_3-2-1_111081_2021-12-08_final
2021-12-27 10:21:34	ga_ls8c_ard_3-2-1_100082_2021-12-27_final
2022-01-18 09:40:02	ga_ls8c_ard_3-2-1_094071_2022-01-18_final
2022-01-22 10:55:46	ga_ls8c_ard_3-2-1_106075_2022-01-22_final
2022-01-24 10:42:11	ga_ls8c_ard_3-2-1_104072_2022-01-24_final
2022-02-10 09:50:30	ga_ls8c_ard_3-2-1_095082_2022-02-10_final
2022-02-19 11:18:21	ga_ls8c_ard_3-2-1_110070_2022-02-19_final
2022-03-10 10:14:18	ga_ls8c_ard_3-2-1_099080_2022-03-10_final
2022-03-10 11:52:47	ga_ls8c_ard_3-2-1_115079_2022-03-10_final
2022-04-03 09:21:25	ga_ls8c_ard_3-2-1_091072_2022-04-02_final
2022-04-10 09:32:52	ga_ls8c_ard_3-2-1_092085_2022-04-10_final
2022-04-14 09:06:58	ga_ls8c_ard_3-2-1_088082_2022-04-13_final
2022-04-16 10:30:42	ga_ls8c_ard_3-2-1_102075_2022-04-16_final
2022-04-21 09:12:44	ga_ls8c_ard_3-2-1_089081_2022-04-20_final
2022-05-08 09:52:03	ga_ls8c_ard_3-2-1_096071_2022-05-08_final
2022-05-16 10:40:22	ga_ls8c_ard_3-2-1_104068_2022-05-16_final
2022-05-28 09:34:58	ga_ls8c_ard_3-2-1_092090_2022-05-28_final
2022-05-29 10:15:51	ga_ls8c_ard_3-2-1_099084_2022-05-29_final
2022-06-11 11:24:01	ga_ls8c_ard_3-2-1_110084_2022-06-11_final
2022-06-30 11:51:27	ga_ls8c_ard_3-2-1_115075_2022-06-30_final
2022-07-15 11:11:21	ga_ls8c_ard_3-2-1_108083_2022-07-15_final
2022-07-17 10:57:49	ga_ls8c_ard_3-2-1_106080_2022-07-17_final
2022-08-06 10:30:32	ga_ls8c_ard_3-2-1_102073_2022-08-06_final
2022-08-08 10:20:11	ga_ls8c_ard_3-2-1_100078_2022-08-08_final
2022-08-09 09:29:21	ga_ls8c_ard_3-2-1_091090_2022-08-08_final
2022-08-19 10:04:05	ga_ls8c_ard_3-2-1_097084_2022-08-19_final
2022-08-27 09:13:51	ga_ls8c_ard_3-2-1_089082_2022-08-26_final
2022-09-01 09:29:11	ga_ls8c_ard_3-2-1_092074_2022-08-31_final
2022-10-07 10:41:01	ga_ls8c_ard_3-2-1_104068_2022-10-07_final
2022-10-27 10:17:56	ga_ls8c_ard_3-2-1_100072_2022-10-27_final
2022-11-01 10:39:17	ga_ls8c_ard_3-2-1_103079_2022-11-01_final
2022-11-10 10:30:40	ga_ls8c_ard_3-2-1_102073_2022-11-10_final
2022-11-27 11:14:41	ga_ls8c_ard_3-2-1_109075_2022-11-27_final
2022-12-23 11:53:11	ga_ls8c_ard_3-2-1_115079_2022-12-23_final
2022-12-29 09:39:38	ga_ls8c_ard_3-2-1_093085_2022-12-29_final
2023-01-03 09:58:11	ga_ls8c_ard_3-2-1_096085_2023-01-03_final
2023-01-08 10:11:55	ga_ls8c_ard_3-2-1_099073_2023-01-08_final
2023-01-09 09:23:05	ga_ls8c_ard_3-2-1_090090_2023-01-08_final
2023-03-05 09:27:42	ga_ls8c_ard_3-2-1_091087_2023-03-04_final
2023-03-15 09:57:56	ga_ls8c_ard_3-2-1_097070_2023-03-15_final
2023-03-21 09:26:21	ga_ls8c_ard_3-2-1_091084_2023-03-20_final
2023-03-22 10:09:12	ga_ls8c_ard_3-2-1_098083_2023-03-22_final
2023-03-30 10:58:11	ga_ls8c_ard_3-2-1_106082_2023-03-30_final
2023-03-31 09:57:45	ga_ls8c_ard_3-2-1_097070_2023-03-31_final
2023-04-06 09:27:21	ga_ls8c_ard_3-2-1_091087_2023-04-05_final
2023-04-07 10:03:24	ga_ls8c_ard_3-2-1_098069_2023-04-07_final
2023-04-13 09:32:37	ga_ls8c_ard_3-2-1_092085_2023-04-13_final
2023-05-06 09:39:26	ga_ls8c_ard_3-2-1_093087_2023-05-06_final
2023-05-06 11:17:08	ga_ls8c_ard_3-2-1_109084_2023-05-06_final
2023-05-07 10:16:18	ga_ls8c_ard_3-2-1_100071_2023-05-07_final
2023-05-20 09:50:28	ga_ls8c_ard_3-2-1_095084_2023-05-20_final
2023-05-21 10:32:56	ga_ls8c_ard_3-2-1_102082_2023-05-21_final
2023-05-23 10:18:12	ga_ls8c_ard_3-2-1_100076_2023-05-23_final
2023-06-01 11:51:43	ga_ls8c_ard_3-2-1_115078_2023-06-01_final
2023-06-27 09:10:04	ga_ls8c_ard_3-2-1_089075_2023-06-26_final
2023-07-18 11:06:51	ga_ls8c_ard_3-2-1_108073_2023-07-18_final
2023-07-26 10:21:28	ga_ls8c_ard_3-2-1_100083_2023-07-26_final
2023-07-28 11:44:26	ga_ls8c_ard_3-2-1_114074_2023-07-28_final
2023-08-24 11:30:04	ga_ls8c_ard_3-2-1_111084_2023-08-24_final
2023-08-27 10:18:54	ga_ls8c_ard_3-2-1_100076_2023-08-27_final
2023-08-29 10:09:44	ga_ls8c_ard_3-2-1_098084_2023-08-29_final
2023-09-12 10:21:43	ga_ls8c_ard_3-2-1_100083_2023-09-12_final
2023-09-18 11:18:23	ga_ls8c_ard_3-2-1_110070_2023-09-18_final
2023-10-07 10:16:02	ga_ls8c_ard_3-2-1_099084_2023-10-07_final
2023-10-15 09:22:39	ga_ls8c_ard_3-2-1_091074_2023-10-14_final
2023-10-15 11:04:19	ga_ls8c_ard_3-2-1_107081_2023-10-15_final
2023-10-15 11:05:07	ga_ls8c_ard_3-2-1_107083_2023-10-15_final
2023-10-21 10:25:14	ga_ls8c_ard_3-2-1_101076_2023-10-21_final
2023-11-07 11:07:19	ga_ls8c_ard_3-2-1_108073_2023-11-07_final
2023-11-18 10:49:13	ga_ls8c_ard_3-2-1_105074_2023-11-18_final
2023-11-28 11:25:07	ga_ls8c_ard_3-2-1_111071_2023-11-28_final
2023-12-02 11:02:21	ga_ls8c_ard_3-2-1_107076_2023-12-02_final
2024-01-09 10:27:59	ga_ls8c_ard_3-2-1_101083_2024-01-09_final
2024-01-13 10:04:05	ga_ls8c_ard_3-2-1_097085_2024-01-13_final
2024-01-31 11:26:56	ga_ls8c_ard_3-2-1_111076_2024-01-31_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