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
2016-05-19 10:20:05	ga_ls8c_ard_3-0-0_100080_2016-05-19_final
2016-05-19 10:20:29	ga_ls8c_ard_3-0-0_100081_2016-05-19_final
2016-05-19 10:20:53	ga_ls8c_ard_3-0-0_100082_2016-05-19_final
2016-05-19 10:21:17	ga_ls8c_ard_3-0-0_100083_2016-05-19_final
2016-05-19 10:21:41	ga_ls8c_ard_3-0-0_100084_2016-05-19_final
2016-05-19 10:22:05	ga_ls8c_ard_3-0-0_100085_2016-05-19_final
2016-05-31 10:39:41	ga_ls8c_ard_3-0-0_104067_2016-05-31_final
2016-07-04 10:29:08	ga_ls8c_ard_3-1-0_102071_2016-07-04_final
2016-07-04 10:29:32	ga_ls8c_ard_3-0-0_102072_2016-07-04_final
2016-07-04 10:29:56	ga_ls8c_ard_3-0-0_102073_2016-07-04_final
2016-07-04 10:30:20	ga_ls8c_ard_3-0-0_102074_2016-07-04_final
2016-07-04 10:30:44	ga_ls8c_ard_3-0-0_102075_2016-07-04_final
2016-07-04 10:31:08	ga_ls8c_ard_3-0-0_102076_2016-07-04_final
2016-07-06 10:20:23	ga_ls8c_ard_3-0-0_100080_2016-07-06_final
2016-07-06 10:20:47	ga_ls8c_ard_3-0-0_100081_2016-07-06_final
2016-07-06 10:21:11	ga_ls8c_ard_3-0-0_100082_2016-07-06_final
2016-07-06 10:21:35	ga_ls8c_ard_3-0-0_100083_2016-07-06_final
2016-07-06 10:21:59	ga_ls8c_ard_3-0-0_100084_2016-07-06_final
2016-07-06 10:22:23	ga_ls8c_ard_3-0-0_100085_2016-07-06_final
2016-07-22 10:20:29	ga_ls8c_ard_3-0-0_100080_2016-07-22_final
2016-07-22 10:20:53	ga_ls8c_ard_3-0-0_100081_2016-07-22_final
2016-07-22 10:21:17	ga_ls8c_ard_3-0-0_100082_2016-07-22_final
2016-07-22 10:21:41	ga_ls8c_ard_3-0-0_100083_2016-07-22_final
2016-07-22 10:22:05	ga_ls8c_ard_3-0-0_100084_2016-07-22_final
2016-07-22 10:22:29	ga_ls8c_ard_3-0-0_100085_2016-07-22_final
2016-07-31 10:15:56	ga_ls8c_ard_3-0-0_099084_2016-07-31_final
2016-07-31 10:16:20	ga_ls8c_ard_3-0-0_099085_2016-07-31_final
2016-08-07 10:20:31	ga_ls8c_ard_3-0-0_100080_2016-08-07_final
2016-08-07 10:20:55	ga_ls8c_ard_3-0-0_100081_2016-08-07_final
2016-08-07 10:21:19	ga_ls8c_ard_3-0-0_100082_2016-08-07_final
2016-08-07 10:21:43	ga_ls8c_ard_3-0-0_100083_2016-08-07_final
2016-08-07 10:22:07	ga_ls8c_ard_3-0-0_100084_2016-08-07_final
2016-08-07 10:22:31	ga_ls8c_ard_3-0-0_100085_2016-08-07_final
2016-09-20 10:40:16	ga_ls8c_ard_3-0-0_104067_2016-09-20_final
2016-09-22 10:29:30	ga_ls8c_ard_3-0-0_102071_2016-09-22_final
2016-09-22 10:29:54	ga_ls8c_ard_3-0-0_102072_2016-09-22_final
2016-09-22 10:30:18	ga_ls8c_ard_3-0-0_102073_2016-09-22_final
2016-09-22 10:30:42	ga_ls8c_ard_3-0-0_102074_2016-09-22_final
2016-09-22 10:31:06	ga_ls8c_ard_3-0-0_102075_2016-09-22_final
2016-09-22 10:31:30	ga_ls8c_ard_3-0-0_102076_2016-09-22_final
2016-09-22 10:31:54	ga_ls8c_ard_3-0-0_102077_2016-09-22_final
2016-09-24 10:20:44	ga_ls8c_ard_3-0-0_100080_2016-09-24_final
2016-09-24 10:21:08	ga_ls8c_ard_3-0-0_100081_2016-09-24_final
2016-09-24 10:21:32	ga_ls8c_ard_3-0-0_100082_2016-09-24_final
2016-09-24 10:21:56	ga_ls8c_ard_3-0-0_100083_2016-09-24_final
2016-09-24 10:22:20	ga_ls8c_ard_3-0-0_100084_2016-09-24_final
2016-09-24 10:22:44	ga_ls8c_ard_3-0-0_100085_2016-09-24_final
2016-10-10 10:20:48	ga_ls8c_ard_3-0-0_100080_2016-10-10_final
2016-10-10 10:21:12	ga_ls8c_ard_3-0-0_100081_2016-10-10_final
2016-10-10 10:21:36	ga_ls8c_ard_3-0-0_100082_2016-10-10_final
2016-10-10 10:22:00	ga_ls8c_ard_3-0-0_100083_2016-10-10_final
2016-10-10 10:22:24	ga_ls8c_ard_3-0-0_100084_2016-10-10_final
2016-10-10 10:22:48	ga_ls8c_ard_3-0-0_100085_2016-10-10_final
2016-12-06 10:16:14	ga_ls8c_ard_3-0-0_099084_2016-12-06_final
2016-12-06 10:16:38	ga_ls8c_ard_3-0-0_099085_2016-12-06_final
2018-03-15 10:15:29	ga_ls8c_ard_3-0-0_099084_2018-03-15_final
2018-03-15 10:15:53	ga_ls8c_ard_3-0-0_099085_2018-03-15_final
2018-03-18 10:39:35	ga_ls8c_ard_3-0-0_104067_2018-03-18_final
2018-03-20 10:28:48	ga_ls8c_ard_3-0-0_102071_2018-03-20_final
2018-03-20 10:29:12	ga_ls8c_ard_3-0-0_102072_2018-03-20_final
2018-03-20 10:29:36	ga_ls8c_ard_3-0-0_102073_2018-03-20_final
2018-03-20 10:30:00	ga_ls8c_ard_3-0-0_102074_2018-03-20_final
2018-03-20 10:30:24	ga_ls8c_ard_3-0-0_102075_2018-03-20_final
2018-03-20 10:30:48	ga_ls8c_ard_3-0-0_102076_2018-03-20_final
2018-03-20 10:31:12	ga_ls8c_ard_3-0-0_102077_2018-03-20_final
2018-07-05 10:15:00	ga_ls8c_ard_3-0-0_099084_2018-07-05_final
2018-07-05 10:15:24	ga_ls8c_ard_3-0-0_099085_2018-07-05_final
2021-04-24 10:15:32	ga_ls8c_ard_3-2-0_099084_2021-04-24_final
2021-04-24 10:15:56	ga_ls8c_ard_3-2-0_099085_2021-04-24_final
2021-10-29 10:34:17	ga_ls8c_ard_3-2-0_103067_2021-10-29_final
2021-10-29 10:34:41	ga_ls8c_ard_3-2-0_103068_2021-10-29_final
2021-10-29 10:35:05	ga_ls8c_ard_3-2-0_103069_2021-10-29_final
2021-10-29 10:35:29	ga_ls8c_ard_3-2-0_103070_2021-10-29_final
2021-10-29 10:35:53	ga_ls8c_ard_3-2-0_103071_2021-10-29_final
2021-10-29 10:36:17	ga_ls8c_ard_3-2-0_103072_2021-10-29_final
2021-10-31 10:25:07	ga_ls8c_ard_3-2-0_101075_2021-10-31_final
2021-10-31 10:25:30	ga_ls8c_ard_3-2-0_101076_2021-10-31_final
2021-10-31 10:25:54	ga_ls8c_ard_3-2-0_101077_2021-10-31_final
2021-10-31 10:26:18	ga_ls8c_ard_3-2-0_101078_2021-10-31_final
2021-10-31 10:26:42	ga_ls8c_ard_3-2-0_101079_2021-10-31_final
2021-10-31 10:27:06	ga_ls8c_ard_3-2-0_101080_2021-10-31_final
2021-10-31 10:27:30	ga_ls8c_ard_3-2-0_101081_2021-10-31_final
2021-11-02 10:16:20	ga_ls8c_ard_3-2-0_099084_2021-11-02_final
2021-11-02 10:16:44	ga_ls8c_ard_3-2-0_099085_2021-11-02_final
2021-11-14 10:34:12	ga_ls8c_ard_3-2-0_103067_2021-11-14_final
2021-11-14 10:34:36	ga_ls8c_ard_3-2-0_103068_2021-11-14_final
2021-11-14 10:35:00	ga_ls8c_ard_3-2-0_103069_2021-11-14_final
2021-11-14 10:35:24	ga_ls8c_ard_3-2-0_103070_2021-11-14_final
2021-11-14 10:35:48	ga_ls8c_ard_3-2-0_103071_2021-11-14_final
2021-11-14 10:36:12	ga_ls8c_ard_3-2-0_103072_2021-11-14_final
2021-12-02 10:25:03	ga_ls8c_ard_3-2-0_101075_2021-12-02_final
2021-12-02 10:25:27	ga_ls8c_ard_3-2-0_101076_2021-12-02_final
2021-12-02 10:25:51	ga_ls8c_ard_3-2-0_101077_2021-12-02_final
2021-12-02 10:26:14	ga_ls8c_ard_3-2-0_101078_2021-12-02_final
2021-12-02 10:26:38	ga_ls8c_ard_3-2-0_101079_2021-12-02_final
2021-12-02 10:27:02	ga_ls8c_ard_3-2-0_101080_2021-12-02_final
2021-12-02 10:27:26	ga_ls8c_ard_3-2-0_101081_2021-12-02_final
2021-12-04 10:16:17	ga_ls8c_ard_3-2-0_099084_2021-12-04_final
2021-12-04 10:16:41	ga_ls8c_ard_3-2-0_099085_2021-12-04_final
2021-12-20 10:16:14	ga_ls8c_ard_3-2-1_099084_2021-12-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years