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
2015-09-27 10:35:51	ga_ls8c_ard_3-0-0_103072_2015-09-27_final
2015-09-27 10:36:15	ga_ls8c_ard_3-0-0_103073_2015-09-27_final
2015-09-27 10:36:39	ga_ls8c_ard_3-0-0_103074_2015-09-27_final
2015-09-27 10:37:03	ga_ls8c_ard_3-0-0_103075_2015-09-27_final
2015-09-27 10:37:27	ga_ls8c_ard_3-0-0_103076_2015-09-27_final
2015-09-27 10:37:51	ga_ls8c_ard_3-0-0_103077_2015-09-27_final
2015-09-27 10:38:14	ga_ls8c_ard_3-0-0_103078_2015-09-27_final
2015-09-29 10:27:05	ga_ls8c_ard_3-0-0_101081_2015-09-29_final
2015-09-29 10:27:29	ga_ls8c_ard_3-0-0_101082_2015-09-29_final
2015-09-29 10:27:53	ga_ls8c_ard_3-0-0_101083_2015-09-29_final
2015-09-29 10:28:17	ga_ls8c_ard_3-0-0_101084_2015-09-29_final
2015-11-14 10:35:57	ga_ls8c_ard_3-0-0_103072_2015-11-14_final
2015-11-14 10:36:21	ga_ls8c_ard_3-0-0_103073_2015-11-14_final
2015-11-14 10:36:45	ga_ls8c_ard_3-0-0_103074_2015-11-14_final
2015-11-14 10:37:09	ga_ls8c_ard_3-0-0_103075_2015-11-14_final
2015-11-14 10:37:33	ga_ls8c_ard_3-0-0_103076_2015-11-14_final
2015-11-14 10:37:57	ga_ls8c_ard_3-0-0_103077_2015-11-14_final
2015-11-14 10:38:21	ga_ls8c_ard_3-0-0_103078_2015-11-14_final
2015-11-16 10:27:12	ga_ls8c_ard_3-0-0_101081_2015-11-16_final
2015-11-16 10:27:36	ga_ls8c_ard_3-0-0_101082_2015-11-16_final
2015-11-16 10:28:00	ga_ls8c_ard_3-0-0_101083_2015-11-16_final
2015-11-16 10:28:24	ga_ls8c_ard_3-0-0_101084_2015-11-16_final
2018-07-08 10:39:09	ga_ls8c_ard_3-0-0_104067_2018-07-08_final
2018-07-08 10:39:33	ga_ls8c_ard_3-0-0_104068_2018-07-08_final
2018-07-08 10:39:57	ga_ls8c_ard_3-0-0_104069_2018-07-08_final
2018-07-08 10:40:20	ga_ls8c_ard_3-0-0_104070_2018-07-08_final
2018-07-08 10:40:44	ga_ls8c_ard_3-0-0_104071_2018-07-08_final
2018-07-08 10:41:08	ga_ls8c_ard_3-0-0_104072_2018-07-08_final
2018-07-08 10:41:32	ga_ls8c_ard_3-0-0_104073_2018-07-08_final
2018-08-09 10:39:24	ga_ls8c_ard_3-0-0_104067_2018-08-09_final
2018-08-09 10:39:48	ga_ls8c_ard_3-0-0_104068_2018-08-09_final
2018-08-09 10:40:12	ga_ls8c_ard_3-0-0_104069_2018-08-09_final
2018-08-09 10:40:36	ga_ls8c_ard_3-0-0_104070_2018-08-09_final
2018-08-09 10:41:00	ga_ls8c_ard_3-0-0_104071_2018-08-09_final
2018-08-09 10:41:24	ga_ls8c_ard_3-0-0_104072_2018-08-09_final
2018-08-09 10:41:48	ga_ls8c_ard_3-0-0_104073_2018-08-09_final
2020-03-30 10:45:56	ga_ls8c_ard_3-1-0_105067_2020-03-30_final
2020-03-30 10:46:20	ga_ls8c_ard_3-1-0_105068_2020-03-30_final
2020-04-01 10:35:32	ga_ls8c_ard_3-1-0_103072_2020-04-01_final
2020-04-01 10:35:56	ga_ls8c_ard_3-1-0_103073_2020-04-01_final
2020-04-01 10:36:20	ga_ls8c_ard_3-1-0_103074_2020-04-01_final
2020-04-01 10:36:44	ga_ls8c_ard_3-1-0_103075_2020-04-01_final
2020-04-01 10:37:08	ga_ls8c_ard_3-1-0_103076_2020-04-01_final
2020-04-01 10:37:32	ga_ls8c_ard_3-1-0_103077_2020-04-01_final
2020-04-01 10:37:56	ga_ls8c_ard_3-1-0_103078_2020-04-01_final
2020-04-24 10:39:34	ga_ls8c_ard_3-1-0_104067_2020-04-24_final
2020-04-24 10:39:58	ga_ls8c_ard_3-1-0_104068_2020-04-24_final
2020-04-24 10:40:21	ga_ls8c_ard_3-1-0_104069_2020-04-24_final
2020-04-24 10:40:45	ga_ls8c_ard_3-1-0_104070_2020-04-24_final
2020-04-24 10:41:09	ga_ls8c_ard_3-1-0_104071_2020-04-24_final
2020-04-24 10:41:33	ga_ls8c_ard_3-1-0_104072_2020-04-24_final
2020-04-24 10:41:57	ga_ls8c_ard_3-1-0_104073_2020-04-24_final
2020-06-02 10:45:43	ga_ls8c_ard_3-1-0_105067_2020-06-02_final
2020-06-02 10:46:07	ga_ls8c_ard_3-1-0_105068_2020-06-02_final
2020-06-04 10:35:23	ga_ls8c_ard_3-1-0_103072_2020-06-04_final
2020-06-04 10:35:47	ga_ls8c_ard_3-1-0_103073_2020-06-04_final
2020-06-04 10:36:10	ga_ls8c_ard_3-1-0_103074_2020-06-04_final
2020-06-04 10:36:34	ga_ls8c_ard_3-1-0_103075_2020-06-04_final
2020-06-04 10:36:58	ga_ls8c_ard_3-1-0_103076_2020-06-04_final
2020-06-04 10:37:22	ga_ls8c_ard_3-1-0_103077_2020-06-04_final
2020-06-04 10:37:46	ga_ls8c_ard_3-1-0_103078_2020-06-04_final
2020-06-06 10:26:38	ga_ls8c_ard_3-1-0_101081_2020-06-06_final
2020-06-06 10:27:02	ga_ls8c_ard_3-1-0_101082_2020-06-06_final
2021-08-21 10:22:16	ga_ls8c_ard_3-2-0_100084_2021-08-21_final
2021-08-21 10:22:40	ga_ls8c_ard_3-2-0_100085_2021-08-21_final
2021-08-24 10:46:24	ga_ls8c_ard_3-2-0_105067_2021-08-24_final
2021-08-24 10:46:48	ga_ls8c_ard_3-2-0_105068_2021-08-24_final
2021-08-26 10:36:02	ga_ls8c_ard_3-2-0_103072_2021-08-26_final
2021-08-26 10:36:26	ga_ls8c_ard_3-2-0_103073_2021-08-26_final
2021-08-26 10:36:50	ga_ls8c_ard_3-2-0_103074_2021-08-26_final
2021-08-26 10:37:14	ga_ls8c_ard_3-2-0_103075_2021-08-26_final
2021-08-26 10:37:38	ga_ls8c_ard_3-2-0_103076_2021-08-26_final
2021-08-26 10:38:02	ga_ls8c_ard_3-2-0_103077_2021-08-26_final
2021-08-26 10:38:26	ga_ls8c_ard_3-2-0_103078_2021-08-26_final
2021-08-28 10:27:17	ga_ls8c_ard_3-2-0_101081_2021-08-28_final
2021-08-28 10:27:41	ga_ls8c_ard_3-2-0_101082_2021-08-28_final
2021-08-28 10:28:05	ga_ls8c_ard_3-2-0_101083_2021-08-28_final
2021-08-28 10:28:29	ga_ls8c_ard_3-2-0_101084_2021-08-28_final
2021-10-20 10:40:28	ga_ls8c_ard_3-2-0_104067_2021-10-20_final
2021-10-20 10:40:52	ga_ls8c_ard_3-2-0_104068_2021-10-20_final
2021-10-20 10:41:16	ga_ls8c_ard_3-2-0_104069_2021-10-20_final
2021-10-20 10:41:39	ga_ls8c_ard_3-2-0_104070_2021-10-20_final
2021-10-20 10:42:03	ga_ls8c_ard_3-2-0_104071_2021-10-20_final
2021-10-20 10:42:27	ga_ls8c_ard_3-2-0_104072_2021-10-20_final
2021-10-20 10:42:51	ga_ls8c_ard_3-2-0_104073_2021-10-20_final
2021-10-22 10:32:06	ga_ls8c_ard_3-2-0_102077_2021-10-22_final
2021-10-22 10:32:29	ga_ls8c_ard_3-2-0_102078_2021-10-22_final
2021-10-22 10:32:53	ga_ls8c_ard_3-2-0_102079_2021-10-22_final
2021-10-22 10:33:17	ga_ls8c_ard_3-2-0_102080_2021-10-22_final
2021-10-22 10:33:41	ga_ls8c_ard_3-2-0_102081_2021-10-22_final
2021-10-22 10:34:05	ga_ls8c_ard_3-2-0_102082_2021-10-22_final
2021-10-24 10:22:32	ga_ls8c_ard_3-2-0_100084_2021-10-24_final
2021-10-24 10:22:56	ga_ls8c_ard_3-2-0_100085_2021-10-24_final
2022-06-03 10:31:17	ga_ls8c_ard_3-2-1_102076_2022-06-03_final
2022-06-03 10:31:41	ga_ls8c_ard_3-2-1_102077_2022-06-03_final
2022-06-03 10:32:05	ga_ls8c_ard_3-2-1_102078_2022-06-03_final
2022-06-03 10:32:29	ga_ls8c_ard_3-2-1_102079_2022-06-03_final
2022-06-03 10:32:53	ga_ls8c_ard_3-2-1_102080_2022-06-03_final
2022-06-03 10:33:17	ga_ls8c_ard_3-2-1_102081_2022-06-03_final
2022-06-03 10:33:41	ga_ls8c_ard_3-2-1_102082_2022-06-03_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