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
2017-07-18 10:11:22	ga_ls8c_ard_3-1-0_099073_2017-07-18_final
2017-07-18 10:11:46	ga_ls8c_ard_3-0-0_099074_2017-07-18_final
2017-07-18 10:12:10	ga_ls8c_ard_3-0-0_099075_2017-07-18_final
2017-07-18 10:12:34	ga_ls8c_ard_3-0-0_099076_2017-07-18_final
2017-07-18 10:12:58	ga_ls8c_ard_3-0-0_099077_2017-07-18_final
2017-07-18 10:13:22	ga_ls8c_ard_3-0-0_099078_2017-07-18_final
2017-07-18 10:13:46	ga_ls8c_ard_3-0-0_099079_2017-07-18_final
2017-07-27 10:07:16	ga_ls8c_ard_3-0-0_098078_2017-07-27_final
2017-07-27 10:07:40	ga_ls8c_ard_3-0-0_098079_2017-07-27_final
2017-07-27 10:08:04	ga_ls8c_ard_3-0-0_098080_2017-07-27_final
2017-07-27 10:08:28	ga_ls8c_ard_3-0-0_098081_2017-07-27_final
2017-07-27 10:08:52	ga_ls8c_ard_3-0-0_098082_2017-07-27_final
2017-07-27 10:09:16	ga_ls8c_ard_3-0-0_098083_2017-07-27_final
2017-07-29 09:57:43	ga_ls8c_ard_3-0-0_096085_2017-07-29_final
2017-07-29 09:58:07	ga_ls8c_ard_3-0-0_096086_2017-07-29_final
2017-07-29 09:58:31	ga_ls8c_ard_3-0-0_096087_2017-07-29_final
2021-05-03 10:06:52	ga_ls8c_ard_3-2-0_098078_2021-05-03_final
2021-05-03 10:07:15	ga_ls8c_ard_3-2-0_098079_2021-05-03_final
2021-05-03 10:07:39	ga_ls8c_ard_3-2-0_098080_2021-05-03_final
2021-05-03 10:08:03	ga_ls8c_ard_3-2-0_098081_2021-05-03_final
2021-05-03 10:08:27	ga_ls8c_ard_3-2-0_098082_2021-05-03_final
2021-05-03 10:08:51	ga_ls8c_ard_3-2-0_098083_2021-05-03_final
2021-05-19 10:06:58	ga_ls8c_ard_3-2-0_098078_2021-05-19_final
2021-05-19 10:07:22	ga_ls8c_ard_3-2-0_098079_2021-05-19_final
2021-05-19 10:07:46	ga_ls8c_ard_3-2-0_098080_2021-05-19_final
2021-05-19 10:08:10	ga_ls8c_ard_3-2-0_098081_2021-05-19_final
2021-05-19 10:08:34	ga_ls8c_ard_3-2-0_098082_2021-05-19_final
2021-05-19 10:08:58	ga_ls8c_ard_3-2-0_098083_2021-05-19_final
2021-09-24 10:07:39	ga_ls8c_ard_3-2-0_098078_2021-09-24_final
2021-09-24 10:08:02	ga_ls8c_ard_3-2-0_098079_2021-09-24_final
2021-09-24 10:08:26	ga_ls8c_ard_3-2-0_098080_2021-09-24_final
2021-09-24 10:08:50	ga_ls8c_ard_3-2-0_098081_2021-09-24_final
2021-09-24 10:09:14	ga_ls8c_ard_3-2-0_098082_2021-09-24_final
2021-09-24 10:09:38	ga_ls8c_ard_3-2-0_098083_2021-09-24_final
2021-09-26 09:58:06	ga_ls8c_ard_3-2-0_096085_2021-09-26_final
2021-09-26 09:58:29	ga_ls8c_ard_3-2-0_096086_2021-09-26_final
2021-09-26 09:58:53	ga_ls8c_ard_3-2-0_096087_2021-09-26_final
2021-09-29 10:21:50	ga_ls8c_ard_3-2-0_101067_2021-09-29_final
2021-09-29 10:22:14	ga_ls8c_ard_3-2-0_101068_2021-09-29_final
2021-09-29 10:22:38	ga_ls8c_ard_3-2-0_101069_2021-09-29_final
2021-10-08 10:16:30	ga_ls8c_ard_3-2-0_100069_2021-10-08_final
2021-10-08 10:16:54	ga_ls8c_ard_3-2-0_100070_2021-10-08_final
2021-10-08 10:17:18	ga_ls8c_ard_3-2-0_100071_2021-10-08_final
2021-10-08 10:17:42	ga_ls8c_ard_3-2-0_100072_2021-10-08_final
2021-10-08 10:18:06	ga_ls8c_ard_3-2-0_100073_2021-10-08_final
2021-10-08 10:18:30	ga_ls8c_ard_3-2-0_100074_2021-10-08_final
2021-10-10 10:07:45	ga_ls8c_ard_3-2-0_098078_2021-10-10_final
2021-10-10 10:08:08	ga_ls8c_ard_3-2-0_098079_2021-10-10_final
2021-10-10 10:08:32	ga_ls8c_ard_3-2-0_098080_2021-10-10_final
2021-10-10 10:08:56	ga_ls8c_ard_3-2-0_098081_2021-10-10_final
2021-10-10 10:09:20	ga_ls8c_ard_3-2-0_098082_2021-10-10_final
2021-10-10 10:09:44	ga_ls8c_ard_3-2-0_098083_2021-10-10_final
2021-10-12 09:58:11	ga_ls8c_ard_3-2-0_096085_2021-10-12_final
2021-10-12 09:58:35	ga_ls8c_ard_3-2-0_096086_2021-10-12_final
2021-10-12 09:58:59	ga_ls8c_ard_3-2-0_096087_2021-10-12_final
2021-10-15 10:21:55	ga_ls8c_ard_3-2-0_101067_2021-10-15_final
2021-10-15 10:22:19	ga_ls8c_ard_3-2-0_101068_2021-10-15_final
2021-10-15 10:22:43	ga_ls8c_ard_3-2-0_101069_2021-10-15_final
2023-06-24 10:16:24	ga_ls8c_ard_3-2-1_100071_2023-06-24_final
2023-06-24 10:16:48	ga_ls8c_ard_3-2-1_100072_2023-06-24_final
2023-06-24 10:17:12	ga_ls8c_ard_3-2-1_100073_2023-06-24_final
2023-06-24 10:17:36	ga_ls8c_ard_3-2-1_100074_2023-06-24_final
2023-06-26 10:06:52	ga_ls8c_ard_3-2-1_098078_2023-06-26_final
2023-06-26 10:07:16	ga_ls8c_ard_3-2-1_098079_2023-06-26_final
2023-06-26 10:07:40	ga_ls8c_ard_3-2-1_098080_2023-06-26_final
2023-06-26 10:08:04	ga_ls8c_ard_3-2-1_098081_2023-06-26_final
2023-06-26 10:08:28	ga_ls8c_ard_3-2-1_098082_2023-06-26_final
2023-06-26 10:08:52	ga_ls8c_ard_3-2-1_098083_2023-06-26_final
2023-07-01 10:21:54	ga_ls8c_ard_3-2-1_101069_2023-07-01_final
2023-07-03 10:11:09	ga_ls8c_ard_3-2-1_099073_2023-07-03_final
2023-07-03 10:11:33	ga_ls8c_ard_3-2-1_099074_2023-07-03_final
2023-07-03 10:11:57	ga_ls8c_ard_3-2-1_099075_2023-07-03_final
2023-07-03 10:12:21	ga_ls8c_ard_3-2-1_099076_2023-07-03_final
2023-07-03 10:12:45	ga_ls8c_ard_3-2-1_099077_2023-07-03_final
2023-07-03 10:13:09	ga_ls8c_ard_3-2-1_099078_2023-07-03_final
2023-07-03 10:13:33	ga_ls8c_ard_3-2-1_099079_2023-07-03_final
2023-07-05 10:02:24	ga_ls8c_ard_3-2-1_097082_2023-07-05_final
2023-07-05 10:02:48	ga_ls8c_ard_3-2-1_097083_2023-07-05_final
2023-07-05 10:03:12	ga_ls8c_ard_3-2-1_097084_2023-07-05_final
2023-07-14 09:57:29	ga_ls8c_ard_3-2-1_096085_2023-07-14_final
2023-07-14 09:57:53	ga_ls8c_ard_3-2-1_096086_2023-07-14_final
2023-07-21 10:02:27	ga_ls8c_ard_3-2-1_097082_2023-07-21_final
2023-07-21 10:02:51	ga_ls8c_ard_3-2-1_097083_2023-07-21_final
2023-07-21 10:03:15	ga_ls8c_ard_3-2-1_097084_2023-07-21_final
2023-07-21 10:03:39	ga_ls8c_ard_3-2-1_097085_2023-07-21_final
2023-07-26 10:16:41	ga_ls8c_ard_3-2-1_100071_2023-07-26_final
2023-07-26 10:17:05	ga_ls8c_ard_3-2-1_100072_2023-07-26_final
2023-07-26 10:17:29	ga_ls8c_ard_3-2-1_100073_2023-07-26_final
2023-07-26 10:17:53	ga_ls8c_ard_3-2-1_100074_2023-07-26_final
2023-09-12 10:16:56	ga_ls8c_ard_3-2-1_100071_2023-09-12_final
2023-09-12 10:17:20	ga_ls8c_ard_3-2-1_100072_2023-09-12_final
2023-09-12 10:17:44	ga_ls8c_ard_3-2-1_100073_2023-09-12_final
2023-09-12 10:18:08	ga_ls8c_ard_3-2-1_100074_2023-09-12_final
2023-10-14 10:17:04	ga_ls8c_ard_3-2-1_100071_2023-10-14_final
2023-10-14 10:17:04	ga_ls8c_ard_3-2-1_100071_2023-10-14_nrt
2023-10-14 10:17:28	ga_ls8c_ard_3-2-1_100072_2023-10-14_final
2023-10-14 10:17:28	ga_ls8c_ard_3-2-1_100072_2023-10-14_nrt
2023-10-14 10:17:52	ga_ls8c_ard_3-2-1_100073_2023-10-14_final
2023-10-14 10:17:52	ga_ls8c_ard_3-2-1_100073_2023-10-14_nrt
2023-10-14 10:18:16	ga_ls8c_ard_3-2-1_100074_2023-10-14_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years