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
2013-06-24 09:08:39	ga_ls8c_ard_3-1-0_088081_2013-06-23_final
2013-10-30 09:08:27	ga_ls8c_ard_3-1-0_088081_2013-10-29_final
2015-10-20 09:06:47	ga_ls8c_ard_3-1-0_088081_2015-10-19_final
2017-05-18 09:06:12	ga_ls8c_ard_3-1-0_088081_2017-05-17_final
2017-07-27 10:06:52	ga_ls8c_ard_3-1-0_098077_2017-07-27_final
2019-04-18 11:06:11	ga_ls8c_ard_3-1-0_108072_2019-04-18_final
2019-04-18 11:09:47	ga_ls8c_ard_3-1-0_108081_2019-04-18_final
2019-06-15 10:03:58	ga_ls8c_ard_3-1-0_098070_2019-06-15_final
2019-06-17 09:52:01	ga_ls8c_ard_3-1-0_096071_2019-06-17_final
2019-06-21 11:07:00	ga_ls8c_ard_3-1-0_108073_2019-06-21_final
2019-07-03 11:32:11	ga_ls8c_ard_3-1-0_112074_2019-07-03_final
2019-07-07 11:06:40	ga_ls8c_ard_3-1-0_108072_2019-07-07_final
2019-08-01 09:23:20	ga_ls8c_ard_3-1-0_091076_2019-07-31_final
2019-08-02 10:04:36	ga_ls8c_ard_3-1-0_098071_2019-08-02_final
2019-08-08 11:05:39	ga_ls8c_ard_3-1-0_108069_2019-08-08_final
2019-08-19 10:47:34	ga_ls8c_ard_3-1-0_105070_2019-08-19_final
2019-08-20 09:56:20	ga_ls8c_ard_3-1-0_096081_2019-08-20_final
2019-08-24 11:05:43	ga_ls8c_ard_3-1-0_108069_2019-08-24_final
2019-08-29 09:50:59	ga_ls8c_ard_3-1-0_095083_2019-08-29_final
2019-08-29 11:23:29	ga_ls8c_ard_3-1-0_111067_2019-08-29_final
2019-09-04 10:46:25	ga_ls8c_ard_3-1-0_105067_2019-09-04_final
2019-09-09 09:34:29	ga_ls8c_ard_3-1-0_092088_2019-09-09_final
2019-09-14 09:51:04	ga_ls8c_ard_3-1-0_095083_2019-09-14_final
2019-09-14 09:52:15	ga_ls8c_ard_3-1-0_095086_2019-09-14_final
2019-09-18 09:26:22	ga_ls8c_ard_3-1-0_091083_2019-09-17_final
2019-09-19 10:09:38	ga_ls8c_ard_3-1-0_098083_2019-09-19_final
2019-09-27 10:53:08	ga_ls8c_ard_3-1-0_106068_2019-09-27_final
2019-10-04 09:23:39	ga_ls8c_ard_3-1-0_091076_2019-10-03_final
2019-10-05 10:04:55	ga_ls8c_ard_3-1-0_098071_2019-10-05_final
2019-10-11 11:09:55	ga_ls8c_ard_3-1-0_108079_2019-10-11_final
2019-10-21 10:05:20	ga_ls8c_ard_3-1-0_098072_2019-10-21_final
2019-10-27 09:32:15	ga_ls8c_ard_3-1-0_092082_2019-10-27_final
2019-11-01 11:28:52	ga_ls8c_ard_3-1-0_111080_2019-11-01_final
2019-11-02 10:29:39	ga_ls8c_ard_3-1-0_102071_2019-11-02_final
2019-11-06 10:07:43	ga_ls8c_ard_3-1-0_098078_2019-11-06_final
2019-11-30 10:53:07	ga_ls8c_ard_3-1-0_106068_2019-11-30_final
2020-01-09 10:03:33	ga_ls8c_ard_3-1-0_098068_2020-01-09_final
2020-01-11 09:57:34	ga_ls8c_ard_3-1-0_096084_2020-01-11_final
2020-01-11 11:32:51	ga_ls8c_ard_3-1-0_112075_2020-01-11_final
2020-01-15 09:35:13	ga_ls8c_ard_3-1-0_092090_2020-01-15_final
2020-01-21 10:29:25	ga_ls8c_ard_3-1-0_102071_2020-01-21_final
2020-01-21 10:33:48	ga_ls8c_ard_3-1-0_102082_2020-01-21_final
2020-02-05 09:49:15	ga_ls8c_ard_3-1-0_095079_2020-02-05_final
2020-02-05 09:52:03	ga_ls8c_ard_3-1-0_095086_2020-02-05_final
2020-02-08 11:58:14	ga_ls8c_ard_3-1-0_116077_2020-02-08_final
2020-02-21 09:51:12	ga_ls8c_ard_3-1-0_095084_2020-02-21_final
2020-02-25 09:25:40	ga_ls8c_ard_3-1-0_091082_2020-02-24_final
2020-02-28 09:58:09	ga_ls8c_ard_3-1-0_096086_2020-02-28_final
2020-03-12 09:23:10	ga_ls8c_ard_3-1-0_091076_2020-03-11_final
2020-03-12 09:25:57	ga_ls8c_ard_3-1-0_091083_2020-03-11_final
2020-03-15 09:55:38	ga_ls8c_ard_3-1-0_096080_2020-03-15_final
2020-03-15 09:56:02	ga_ls8c_ard_3-1-0_096081_2020-03-15_final
2020-03-19 09:32:05	ga_ls8c_ard_3-1-0_092083_2020-03-19_final
2020-03-19 11:10:34	ga_ls8c_ard_3-1-0_108082_2020-03-19_final
2020-03-30 10:50:43	ga_ls8c_ard_3-1-0_105079_2020-03-30_final
2020-04-04 11:06:49	ga_ls8c_ard_3-1-0_108073_2020-04-04_final
2020-04-04 11:10:24	ga_ls8c_ard_3-1-0_108082_2020-04-04_final
2020-04-06 10:56:26	ga_ls8c_ard_3-1-0_106078_2020-04-06_final
2020-04-09 09:51:38	ga_ls8c_ard_3-1-0_095086_2020-04-09_final
2020-04-09 11:23:20	ga_ls8c_ard_3-1-0_111068_2020-04-09_final
2020-04-13 09:25:41	ga_ls8c_ard_3-1-0_091083_2020-04-12_final
2020-04-13 09:28:05	ga_ls8c_ard_3-1-0_091089_2020-04-12_final
2020-04-19 10:25:03	ga_ls8c_ard_3-1-0_101077_2020-04-19_final
2020-04-20 11:08:18	ga_ls8c_ard_3-1-0_108077_2020-04-20_final
2020-04-22 10:57:31	ga_ls8c_ard_3-1-0_106081_2020-04-22_final
2020-04-24 09:06:16	ga_ls8c_ard_3-1-0_088081_2020-04-23_final
2022-03-30 09:49:44	ga_ls8c_ard_3-2-1_095081_2022-03-30_final
2022-04-01 11:13:52	ga_ls8c_ard_3-2-1_109075_2022-04-01_final
2022-04-07 10:39:13	ga_ls8c_ard_3-2-1_103081_2022-04-07_final
2022-04-08 11:21:18	ga_ls8c_ard_3-2-1_110078_2022-04-08_final
2022-04-13 10:01:47	ga_ls8c_ard_3-2-1_097080_2022-04-13_final
2022-04-14 10:44:39	ga_ls8c_ard_3-2-1_104079_2022-04-14_final
2022-04-15 09:48:38	ga_ls8c_ard_3-2-1_095078_2022-04-15_final
2022-04-21 10:50:25	ga_ls8c_ard_3-2-1_105078_2022-04-21_final
2022-04-22 09:54:47	ga_ls8c_ard_3-2-1_096078_2022-04-22_final
2022-04-23 10:36:27	ga_ls8c_ard_3-2-1_103074_2022-04-23_final
2022-04-24 11:21:18	ga_ls8c_ard_3-2-1_110078_2022-04-24_final
2022-04-24 11:21:42	ga_ls8c_ard_3-2-1_110079_2022-04-24_final
2022-04-26 09:33:38	ga_ls8c_ard_3-2-1_092087_2022-04-26_final
2022-04-26 09:34:50	ga_ls8c_ard_3-2-1_092090_2022-04-26_final
2022-05-01 09:48:11	ga_ls8c_ard_3-2-1_095077_2022-05-01_final
2022-05-03 09:36:39	ga_ls8c_ard_3-2-1_093079_2022-05-03_final
2022-05-03 11:15:08	ga_ls8c_ard_3-2-1_109078_2022-05-03_final
2022-05-05 11:02:24	ga_ls8c_ard_3-2-1_107077_2022-05-05_final
2022-05-07 10:50:04	ga_ls8c_ard_3-2-1_105077_2022-05-07_final
2022-05-07 10:50:52	ga_ls8c_ard_3-2-1_105079_2022-05-07_final
2022-05-08 09:54:51	ga_ls8c_ard_3-2-1_096078_2022-05-08_final
2022-05-10 11:19:48	ga_ls8c_ard_3-2-1_110074_2022-05-10_final
2022-05-10 11:21:00	ga_ls8c_ard_3-2-1_110077_2022-05-10_final
2022-05-12 11:08:15	ga_ls8c_ard_3-2-1_108076_2022-05-12_final
2022-05-12 11:09:03	ga_ls8c_ard_3-2-1_108078_2022-05-12_final
2022-05-14 10:57:06	ga_ls8c_ard_3-2-1_106079_2022-05-14_final
2022-05-30 10:53:09	ga_ls8c_ard_3-2-1_106069_2022-05-30_final
2022-06-04 11:12:58	ga_ls8c_ard_3-2-1_109072_2022-06-04_final
2022-06-07 10:08:13	ga_ls8c_ard_3-2-1_098080_2022-06-07_final
2022-06-08 10:50:18	ga_ls8c_ard_3-2-1_105077_2022-06-08_final
2022-06-08 10:50:41	ga_ls8c_ard_3-2-1_105078_2022-06-08_final
2022-06-08 10:51:05	ga_ls8c_ard_3-2-1_105079_2022-06-08_final
2022-06-13 09:33:12	ga_ls8c_ard_3-2-1_092085_2022-06-13_final
2022-06-13 11:09:17	ga_ls8c_ard_3-2-1_108078_2022-06-13_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