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
2016-05-23 09:50:36	ga_ls8c_ard_3-0-0_096068_2016-05-23_final
2016-05-23 09:51:00	ga_ls8c_ard_3-0-0_096069_2016-05-23_final
2016-05-23 09:51:24	ga_ls8c_ard_3-0-0_096070_2016-05-23_final
2016-05-23 09:51:48	ga_ls8c_ard_3-0-0_096071_2016-05-23_final
2016-05-23 09:52:12	ga_ls8c_ard_3-0-0_096072_2016-05-23_final
2016-05-23 09:52:36	ga_ls8c_ard_3-0-0_096073_2016-05-23_final
2016-06-24 09:50:46	ga_ls8c_ard_3-0-0_096068_2016-06-24_final
2016-06-24 09:51:10	ga_ls8c_ard_3-0-0_096069_2016-06-24_final
2016-06-24 09:51:34	ga_ls8c_ard_3-0-0_096070_2016-06-24_final
2016-06-24 09:51:58	ga_ls8c_ard_3-0-0_096071_2016-06-24_final
2016-06-24 09:52:22	ga_ls8c_ard_3-0-0_096072_2016-06-24_final
2016-06-24 09:52:46	ga_ls8c_ard_3-0-0_096073_2016-06-24_final
2016-08-02 09:56:47	ga_ls8c_ard_3-0-0_097067_2016-08-02_final
2016-08-02 09:57:11	ga_ls8c_ard_3-0-0_097068_2016-08-02_final
2016-08-02 09:57:35	ga_ls8c_ard_3-0-0_097069_2016-08-02_final
2016-08-04 09:46:50	ga_ls8c_ard_3-0-0_095073_2016-08-04_final
2016-08-04 09:47:13	ga_ls8c_ard_3-0-0_095074_2016-08-04_final
2016-08-04 09:47:37	ga_ls8c_ard_3-0-0_095075_2016-08-04_final
2016-08-04 09:48:01	ga_ls8c_ard_3-0-0_095076_2016-08-04_final
2016-08-04 09:48:25	ga_ls8c_ard_3-0-0_095077_2016-08-04_final
2016-08-04 09:48:49	ga_ls8c_ard_3-0-0_095078_2016-08-04_final
2016-08-06 09:37:40	ga_ls8c_ard_3-0-0_093081_2016-08-06_final
2016-08-06 09:38:04	ga_ls8c_ard_3-0-0_093082_2016-08-06_final
2016-08-06 09:38:28	ga_ls8c_ard_3-0-0_093083_2016-08-06_final
2016-08-06 09:38:51	ga_ls8c_ard_3-0-0_093084_2016-08-06_final
2016-08-06 09:39:15	ga_ls8c_ard_3-0-0_093085_2016-08-06_final
2016-08-06 09:39:39	ga_ls8c_ard_3-0-0_093086_2016-08-06_final
2016-08-08 09:28:06	ga_ls8c_ard_3-0-0_091088_2016-08-07_final
2016-08-08 09:28:30	ga_ls8c_ard_3-0-0_091089_2016-08-07_final
2016-08-08 09:28:54	ga_ls8c_ard_3-0-0_091090_2016-08-07_final
2016-08-08 09:29:18	ga_ls8c_ard_3-0-0_091091_2016-08-07_final
2021-10-16 09:33:28	ga_ls8c_ard_3-2-0_092085_2021-10-16_final
2021-10-16 09:33:52	ga_ls8c_ard_3-2-0_092086_2021-10-16_final
2021-10-16 09:34:16	ga_ls8c_ard_3-2-0_092087_2021-10-16_final
2021-10-16 09:34:40	ga_ls8c_ard_3-2-0_092088_2021-10-16_final
2021-10-16 09:35:04	ga_ls8c_ard_3-2-0_092089_2021-10-16_final
2021-10-16 09:35:28	ga_ls8c_ard_3-2-0_092090_2021-10-16_final
2021-10-18 09:23:31	ga_ls8c_ard_3-2-0_090091_2021-10-17_final
2021-10-21 09:46:50	ga_ls8c_ard_3-2-0_095072_2021-10-21_final
2021-10-21 09:47:14	ga_ls8c_ard_3-2-0_095073_2021-10-21_final
2021-10-21 09:47:38	ga_ls8c_ard_3-2-0_095074_2021-10-21_final
2021-10-21 09:48:02	ga_ls8c_ard_3-2-0_095075_2021-10-21_final
2021-10-21 09:48:26	ga_ls8c_ard_3-2-0_095076_2021-10-21_final
2021-10-21 09:48:50	ga_ls8c_ard_3-2-0_095077_2021-10-21_final
2021-10-21 09:49:14	ga_ls8c_ard_3-2-0_095078_2021-10-21_final
2023-06-02 09:22:24	ga_ls8c_ard_3-2-1_090091_2023-06-01_final
2023-06-03 09:56:06	ga_ls8c_ard_3-2-1_097067_2023-06-03_final
2023-06-03 09:56:30	ga_ls8c_ard_3-2-1_097068_2023-06-03_final
2023-06-03 09:56:53	ga_ls8c_ard_3-2-1_097069_2023-06-03_final
2023-06-05 09:46:10	ga_ls8c_ard_3-2-1_095073_2023-06-05_final
2023-06-05 09:46:33	ga_ls8c_ard_3-2-1_095074_2023-06-05_final
2023-06-05 09:46:57	ga_ls8c_ard_3-2-1_095075_2023-06-05_final
2023-06-05 09:47:21	ga_ls8c_ard_3-2-1_095076_2023-06-05_final
2023-06-05 09:47:45	ga_ls8c_ard_3-2-1_095077_2023-06-05_final
2023-06-05 09:48:09	ga_ls8c_ard_3-2-1_095078_2023-06-05_final
2023-06-07 09:37:01	ga_ls8c_ard_3-2-1_093081_2023-06-07_final
2023-06-07 09:37:25	ga_ls8c_ard_3-2-1_093082_2023-06-07_final
2023-06-07 09:37:49	ga_ls8c_ard_3-2-1_093083_2023-06-07_final
2023-06-07 09:38:13	ga_ls8c_ard_3-2-1_093084_2023-06-07_final
2023-06-07 09:38:37	ga_ls8c_ard_3-2-1_093085_2023-06-07_final
2023-06-07 09:39:01	ga_ls8c_ard_3-2-1_093086_2023-06-07_final
2023-06-18 09:22:33	ga_ls8c_ard_3-2-1_090091_2023-06-17_final
2023-06-19 09:56:14	ga_ls8c_ard_3-2-1_097067_2023-06-19_final
2023-06-19 09:56:38	ga_ls8c_ard_3-2-1_097068_2023-06-19_final
2023-06-19 09:57:02	ga_ls8c_ard_3-2-1_097069_2023-06-19_final
2023-06-21 09:46:16	ga_ls8c_ard_3-2-1_095073_2023-06-21_final
2023-06-21 09:46:40	ga_ls8c_ard_3-2-1_095074_2023-06-21_final
2023-06-21 09:47:04	ga_ls8c_ard_3-2-1_095075_2023-06-21_final
2023-06-21 09:47:28	ga_ls8c_ard_3-2-1_095076_2023-06-21_final
2023-06-21 09:47:52	ga_ls8c_ard_3-2-1_095077_2023-06-21_final
2023-06-21 09:48:16	ga_ls8c_ard_3-2-1_095078_2023-06-21_final
2023-06-25 09:27:35	ga_ls8c_ard_3-2-1_091088_2023-06-24_final
2023-06-25 09:27:59	ga_ls8c_ard_3-2-1_091089_2023-06-24_final
2023-06-25 09:28:23	ga_ls8c_ard_3-2-1_091090_2023-06-24_final
2024-04-08 09:27:40	ga_ls8c_ard_3-2-1_091088_2024-04-07_final
2024-04-08 09:27:40	ga_ls8c_ard_3-2-1_091088_2024-04-07_nrt
2024-04-08 09:28:04	ga_ls8c_ard_3-2-1_091089_2024-04-07_final
2024-04-08 09:28:28	ga_ls8c_ard_3-2-1_091090_2024-04-07_final
2024-04-08 09:28:28	ga_ls8c_ard_3-2-1_091090_2024-04-07_nrt
2024-04-11 09:52:10	ga_ls8c_ard_3-2-1_096072_2024-04-11_final
2024-04-13 09:41:47	ga_ls8c_ard_3-2-1_094077_2024-04-13_final
2024-04-13 09:42:11	ga_ls8c_ard_3-2-1_094078_2024-04-13_final
2024-04-13 09:42:35	ga_ls8c_ard_3-2-1_094079_2024-04-13_final
2024-04-13 09:42:59	ga_ls8c_ard_3-2-1_094080_2024-04-13_final
2024-04-13 09:43:22	ga_ls8c_ard_3-2-1_094081_2024-04-13_final
2024-04-13 09:43:46	ga_ls8c_ard_3-2-1_094082_2024-04-13_final
2024-04-15 09:32:35	ga_ls8c_ard_3-2-1_092085_2024-04-15_final
2024-04-15 09:32:59	ga_ls8c_ard_3-2-1_092086_2024-04-15_final
2024-04-15 09:33:23	ga_ls8c_ard_3-2-1_092087_2024-04-15_final
2024-04-15 09:33:47	ga_ls8c_ard_3-2-1_092088_2024-04-15_final
2024-04-15 09:34:11	ga_ls8c_ard_3-2-1_092089_2024-04-15_final
2024-04-15 09:34:35	ga_ls8c_ard_3-2-1_092090_2024-04-15_final
2024-04-22 09:37:06	ga_ls8c_ard_3-2-1_093081_2024-04-22_final
2024-04-22 09:37:30	ga_ls8c_ard_3-2-1_093082_2024-04-22_final
2024-04-22 09:37:54	ga_ls8c_ard_3-2-1_093083_2024-04-22_final
2024-04-22 09:38:18	ga_ls8c_ard_3-2-1_093084_2024-04-22_final
2024-04-22 09:38:42	ga_ls8c_ard_3-2-1_093085_2024-04-22_final
2024-04-22 09:39:06	ga_ls8c_ard_3-2-1_093086_2024-04-22_final
2024-04-24 09:27:31	ga_ls8c_ard_3-2-1_091088_2024-04-23_final
2024-04-24 09:27:55	ga_ls8c_ard_3-2-1_091089_2024-04-23_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