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
2015-09-21 11:10:54	ga_ls8c_ard_3-0-0_109067_2015-09-21_final
2015-09-21 11:11:18	ga_ls8c_ard_3-0-0_109068_2015-09-21_final
2015-09-21 11:11:42	ga_ls8c_ard_3-0-0_109069_2015-09-21_final
2015-09-21 11:12:06	ga_ls8c_ard_3-0-0_109070_2015-09-21_final
2015-09-21 11:12:30	ga_ls8c_ard_3-0-0_109071_2015-09-21_final
2015-09-21 11:12:54	ga_ls8c_ard_3-0-0_109072_2015-09-21_final
2015-09-23 11:01:45	ga_ls8c_ard_3-0-0_107075_2015-09-23_final
2015-09-23 11:02:09	ga_ls8c_ard_3-0-0_107076_2015-09-23_final
2015-09-23 11:02:33	ga_ls8c_ard_3-0-0_107077_2015-09-23_final
2015-09-23 11:02:57	ga_ls8c_ard_3-0-0_107078_2015-09-23_final
2015-09-23 11:03:21	ga_ls8c_ard_3-0-0_107079_2015-09-23_final
2015-10-16 11:06:21	ga_ls8c_ard_3-0-0_108071_2015-10-16_final
2015-10-16 11:06:45	ga_ls8c_ard_3-0-0_108072_2015-10-16_final
2015-10-16 11:07:09	ga_ls8c_ard_3-0-0_108073_2015-10-16_final
2015-10-16 11:07:33	ga_ls8c_ard_3-0-0_108074_2015-10-16_final
2015-10-16 11:07:57	ga_ls8c_ard_3-0-0_108075_2015-10-16_final
2015-10-16 11:08:21	ga_ls8c_ard_3-0-0_108076_2015-10-16_final
2015-10-23 11:11:00	ga_ls8c_ard_3-0-0_109067_2015-10-23_final
2015-10-23 11:11:24	ga_ls8c_ard_3-0-0_109068_2015-10-23_final
2015-10-23 11:11:48	ga_ls8c_ard_3-0-0_109069_2015-10-23_final
2015-10-23 11:12:12	ga_ls8c_ard_3-0-0_109070_2015-10-23_final
2015-10-23 11:12:36	ga_ls8c_ard_3-0-0_109071_2015-10-23_final
2015-10-23 11:13:00	ga_ls8c_ard_3-0-0_109072_2015-10-23_final
2015-10-25 11:01:51	ga_ls8c_ard_3-0-0_107075_2015-10-25_final
2015-10-25 11:02:15	ga_ls8c_ard_3-0-0_107076_2015-10-25_final
2015-10-25 11:02:39	ga_ls8c_ard_3-0-0_107077_2015-10-25_final
2015-10-25 11:03:03	ga_ls8c_ard_3-0-0_107078_2015-10-25_final
2015-10-25 11:03:27	ga_ls8c_ard_3-0-0_107079_2015-10-25_final
2015-10-25 11:03:51	ga_ls8c_ard_3-0-0_107080_2015-10-25_final
2015-10-25 11:04:14	ga_ls8c_ard_3-0-0_107081_2015-10-25_final
2015-11-28 10:52:45	ga_ls8c_ard_3-0-0_105083_2015-11-28_final
2015-12-05 10:57:43	ga_ls8c_ard_3-0-0_106080_2015-12-05_final
2015-12-05 10:58:07	ga_ls8c_ard_3-0-0_106081_2015-12-05_final
2015-12-05 10:58:31	ga_ls8c_ard_3-0-0_106082_2015-12-05_final
2015-12-05 10:58:55	ga_ls8c_ard_3-0-0_106083_2015-12-05_final
2015-12-05 10:59:19	ga_ls8c_ard_3-0-0_106084_2015-12-05_final
2015-12-21 10:57:43	ga_ls8c_ard_3-0-0_106080_2015-12-21_final
2015-12-21 10:58:07	ga_ls8c_ard_3-0-0_106081_2015-12-21_final
2015-12-21 10:58:31	ga_ls8c_ard_3-0-0_106082_2015-12-21_final
2015-12-21 10:58:55	ga_ls8c_ard_3-0-0_106083_2015-12-21_final
2015-12-21 10:59:19	ga_ls8c_ard_3-0-0_106084_2015-12-21_final
2018-09-17 10:52:13	ga_ls8c_ard_3-0-0_105083_2018-09-17_final
2018-10-06 11:16:53	ga_ls8c_ard_3-0-0_110067_2018-10-06_final
2018-12-25 11:16:59	ga_ls8c_ard_3-0-0_110067_2018-12-25_final
2019-01-07 10:52:27	ga_ls8c_ard_3-0-0_105083_2019-01-07_final
2020-10-06 11:02:05	ga_ls8c_ard_3-1-0_107075_2020-10-06_final
2020-10-06 11:02:29	ga_ls8c_ard_3-1-0_107076_2020-10-06_final
2020-10-06 11:02:53	ga_ls8c_ard_3-1-0_107077_2020-10-06_final
2020-10-06 11:03:17	ga_ls8c_ard_3-1-0_107078_2020-10-06_final
2020-10-06 11:03:41	ga_ls8c_ard_3-1-0_107079_2020-10-06_final
2020-10-06 11:04:05	ga_ls8c_ard_3-1-0_107080_2020-10-06_final
2020-10-06 11:04:29	ga_ls8c_ard_3-1-0_107081_2020-10-06_final
2020-10-08 10:52:55	ga_ls8c_ard_3-1-0_105083_2020-10-08_final
2020-10-13 11:06:41	ga_ls8c_ard_3-1-0_108071_2020-10-13_final
2020-10-13 11:07:05	ga_ls8c_ard_3-1-0_108072_2020-10-13_final
2020-10-13 11:07:29	ga_ls8c_ard_3-1-0_108073_2020-10-13_final
2020-10-13 11:07:53	ga_ls8c_ard_3-1-0_108074_2020-10-13_final
2020-10-13 11:08:17	ga_ls8c_ard_3-1-0_108075_2020-10-13_final
2020-10-13 11:08:41	ga_ls8c_ard_3-1-0_108076_2020-10-13_final
2020-11-21 11:11:15	ga_ls8c_ard_3-1-0_109067_2020-11-21_final
2020-11-21 11:11:39	ga_ls8c_ard_3-1-0_109068_2020-11-21_final
2020-11-21 11:12:03	ga_ls8c_ard_3-1-0_109069_2020-11-21_final
2020-11-21 11:12:27	ga_ls8c_ard_3-1-0_109070_2020-11-21_final
2020-11-21 11:12:51	ga_ls8c_ard_3-1-0_109071_2020-11-21_final
2020-11-21 11:13:14	ga_ls8c_ard_3-1-0_109072_2020-11-21_final
2020-11-30 11:06:42	ga_ls8c_ard_3-1-0_108071_2020-11-30_final
2020-11-30 11:07:06	ga_ls8c_ard_3-1-0_108072_2020-11-30_final
2020-11-30 11:07:29	ga_ls8c_ard_3-1-0_108073_2020-11-30_final
2020-11-30 11:07:53	ga_ls8c_ard_3-1-0_108074_2020-11-30_final
2020-11-30 11:08:17	ga_ls8c_ard_3-1-0_108075_2020-11-30_final
2020-11-30 11:08:41	ga_ls8c_ard_3-1-0_108076_2020-11-30_final
2020-12-09 11:02:07	ga_ls8c_ard_3-1-0_107075_2020-12-09_final
2020-12-09 11:02:31	ga_ls8c_ard_3-1-0_107076_2020-12-09_final
2020-12-09 11:02:55	ga_ls8c_ard_3-1-0_107077_2020-12-09_final
2020-12-09 11:03:19	ga_ls8c_ard_3-1-0_107078_2020-12-09_final
2020-12-09 11:03:43	ga_ls8c_ard_3-1-0_107079_2020-12-09_final
2020-12-09 11:04:07	ga_ls8c_ard_3-1-0_107080_2020-12-09_final
2020-12-09 11:04:31	ga_ls8c_ard_3-1-0_107081_2020-12-09_final
2020-12-14 11:17:28	ga_ls8c_ard_3-1-0_110067_2020-12-14_final
2021-07-14 10:57:29	ga_ls8c_ard_3-2-0_106080_2021-07-14_final
2021-07-14 10:57:53	ga_ls8c_ard_3-2-0_106081_2021-07-14_final
2021-07-14 10:58:17	ga_ls8c_ard_3-2-0_106082_2021-07-14_final
2021-07-14 10:58:41	ga_ls8c_ard_3-2-0_106083_2021-07-14_final
2021-07-14 10:59:05	ga_ls8c_ard_3-2-0_106084_2021-07-14_final
2021-07-19 11:10:52	ga_ls8c_ard_3-2-0_109067_2021-07-19_final
2021-07-19 11:11:16	ga_ls8c_ard_3-2-0_109068_2021-07-19_final
2021-07-19 11:11:40	ga_ls8c_ard_3-2-0_109069_2021-07-19_final
2021-07-19 11:12:04	ga_ls8c_ard_3-2-0_109070_2021-07-19_final
2021-07-19 11:12:28	ga_ls8c_ard_3-2-0_109071_2021-07-19_final
2021-07-19 11:12:52	ga_ls8c_ard_3-2-0_109072_2021-07-19_final
2022-05-12 11:06:15	ga_ls8c_ard_3-2-1_108071_2022-05-12_final
2022-05-12 11:06:39	ga_ls8c_ard_3-2-1_108072_2022-05-12_final
2022-05-12 11:07:03	ga_ls8c_ard_3-2-1_108073_2022-05-12_final
2022-05-12 11:07:27	ga_ls8c_ard_3-2-1_108074_2022-05-12_final
2022-05-12 11:07:51	ga_ls8c_ard_3-2-1_108075_2022-05-12_final
2022-05-12 11:08:15	ga_ls8c_ard_3-2-1_108076_2022-05-12_final
2022-05-14 10:57:06	ga_ls8c_ard_3-2-1_106079_2022-05-14_final
2022-05-14 10:57:30	ga_ls8c_ard_3-2-1_106080_2022-05-14_final
2022-05-14 10:57:54	ga_ls8c_ard_3-2-1_106081_2022-05-14_final
2022-05-14 10:58:18	ga_ls8c_ard_3-2-1_106082_2022-05-14_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