Search ga_ls9c_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
2021-11-03 09:55:45	ga_ls9c_ard_3-2-1_096077_2021-11-03_final.stac-item
2021-11-05 09:37:01	ga_ls9c_ard_3-2-1_093077_2021-11-05_final.stac-item
2021-11-10 09:39:29	ga_ls9c_ard_3-2-1_094077_2021-11-10_final.stac-item
2021-12-09 09:42:35	ga_ls9c_ard_3-2-1_094077_2021-12-09_final.stac-item
2021-12-14 10:01:03	ga_ls9c_ard_3-2-1_097077_2021-12-14_final.stac-item
2021-12-16 09:48:40	ga_ls9c_ard_3-2-1_095077_2021-12-16_final.stac-item
2021-12-25 09:42:30	ga_ls9c_ard_3-2-1_094077_2021-12-25_final.stac-item
2021-12-30 10:01:03	ga_ls9c_ard_3-2-1_097077_2021-12-30_final.stac-item
2022-01-03 09:36:19	ga_ls9c_ard_3-2-1_093077_2022-01-03_final.stac-item
2022-01-08 09:54:50	ga_ls9c_ard_3-2-1_096077_2022-01-08_final.stac-item
2022-01-19 09:36:18	ga_ls9c_ard_3-2-1_093077_2022-01-19_final.stac-item
2022-01-24 09:54:51	ga_ls9c_ard_3-2-1_096077_2022-01-24_final.stac-item
2022-01-26 09:42:29	ga_ls9c_ard_3-2-1_094077_2022-01-26_final.stac-item
2022-02-02 09:48:40	ga_ls9c_ard_3-2-1_095077_2022-02-02_final.stac-item
2022-02-04 09:36:18	ga_ls9c_ard_3-2-1_093077_2022-02-04_final.stac-item
2022-02-11 09:42:27	ga_ls9c_ard_3-2-1_094077_2022-02-11_final.stac-item
2022-02-20 09:36:11	ga_ls9c_ard_3-2-1_093077_2022-02-20_final.stac-item
2022-02-25 09:54:40	ga_ls9c_ard_3-2-1_096077_2022-02-25_final.stac-item
2022-03-04 10:00:47	ga_ls9c_ard_3-2-1_097077_2022-03-04_final.stac-item
2022-03-06 09:48:25	ga_ls9c_ard_3-2-1_095077_2022-03-06_final.stac-item
2022-03-08 09:36:04	ga_ls9c_ard_3-2-1_093077_2022-03-08_final.stac-item
2022-03-20 10:00:45	ga_ls9c_ard_3-2-1_097077_2022-03-20_final.stac-item
2022-03-24 09:36:00	ga_ls9c_ard_3-2-1_093077_2022-03-24_final.stac-item
2022-03-29 09:54:31	ga_ls9c_ard_3-2-1_096077_2022-03-29_final.stac-item
2022-04-07 09:48:19	ga_ls9c_ard_3-2-1_095077_2022-04-07_final.stac-item
2022-04-09 09:35:57	ga_ls9c_ard_3-2-1_093077_2022-04-09_final.stac-item
2022-04-14 09:54:26	ga_ls9c_ard_3-2-1_096077_2022-04-14_final.stac-item
2022-04-21 10:00:31	ga_ls9c_ard_3-2-1_097077_2022-04-21_final.stac-item
2022-04-25 09:35:48	ga_ls9c_ard_3-2-1_093077_2022-04-25_final.stac-item
2022-04-30 09:54:19	ga_ls9c_ard_3-2-1_096077_2022-04-30_final.stac-item
2022-05-02 09:41:57	ga_ls9c_ard_3-2-1_094077_2022-05-02_final.stac-item
2022-05-11 09:35:41	ga_ls9c_ard_3-2-1_093077_2022-05-11_final.stac-item
2022-05-23 10:00:16	ga_ls9c_ard_3-2-1_097077_2022-05-23_final.stac-item
2022-05-25 09:47:54	ga_ls9c_ard_3-2-1_095077_2022-05-25_final.stac-item
2022-06-01 09:54:06	ga_ls9c_ard_3-2-1_096077_2022-06-01_final.stac-item
2022-06-03 09:41:45	ga_ls9c_ard_3-2-1_094077_2022-06-03_final.stac-item
2022-06-08 10:00:18	ga_ls9c_ard_3-2-1_097077_2022-06-08_final.stac-item
2022-06-17 09:54:13	ga_ls9c_ard_3-2-1_096077_2022-06-17_final.stac-item
2022-06-28 09:35:55	ga_ls9c_ard_3-2-1_093077_2022-06-28_final.stac-item
2022-07-21 09:42:08	ga_ls9c_ard_3-2-1_094077_2022-07-21_final.stac-item
2022-07-30 09:36:05	ga_ls9c_ard_3-2-1_093077_2022-07-30_final.stac-item
2022-08-04 09:54:41	ga_ls9c_ard_3-2-1_096077_2022-08-04_final.stac-item
2022-08-06 09:42:20	ga_ls9c_ard_3-2-1_094077_2022-08-06_final.stac-item
2022-08-15 09:36:14	ga_ls9c_ard_3-2-1_093077_2022-08-15_final.stac-item
2022-08-20 09:54:48	ga_ls9c_ard_3-2-1_096077_2022-08-20_final.stac-item
2022-08-22 09:42:27	ga_ls9c_ard_3-2-1_094077_2022-08-22_final.stac-item
2022-08-27 10:01:00	ga_ls9c_ard_3-2-1_097077_2022-08-27_final.stac-item
2022-08-29 09:48:38	ga_ls9c_ard_3-2-1_095077_2022-08-29_final.stac-item
2022-08-31 09:36:16	ga_ls9c_ard_3-2-1_093077_2022-08-31_final.stac-item
2022-09-07 09:42:26	ga_ls9c_ard_3-2-1_094077_2022-09-07_final.stac-item
2022-09-16 09:36:20	ga_ls9c_ard_3-2-1_093077_2022-09-16_final.stac-item
2022-09-30 09:48:46	ga_ls9c_ard_3-2-1_095077_2022-09-30_final.stac-item
2022-10-02 09:36:24	ga_ls9c_ard_3-2-1_093077_2022-10-02_final.stac-item
2022-10-07 09:54:55	ga_ls9c_ard_3-2-1_096077_2022-10-07_final.stac-item
2022-10-09 09:42:36	ga_ls9c_ard_3-2-1_094077_2022-10-09_final.stac-item
2022-10-18 09:36:29	ga_ls9c_ard_3-2-1_093077_2022-10-18_final.stac-item
2022-10-23 09:55:02	ga_ls9c_ard_3-2-1_096077_2022-10-23_final.stac-item
2022-10-30 10:01:12	ga_ls9c_ard_3-2-1_097077_2022-10-30_final.stac-item
2022-11-01 09:48:49	ga_ls9c_ard_3-2-1_095077_2022-11-01_final.stac-item
2022-11-03 09:36:27	ga_ls9c_ard_3-2-1_093077_2022-11-03_final.stac-item
2022-11-10 09:42:40	ga_ls9c_ard_3-2-1_094077_2022-11-10_final.stac-item
2022-11-17 09:48:52	ga_ls9c_ard_3-2-1_095077_2022-11-17_final.stac-item
2022-11-19 09:36:31	ga_ls9c_ard_3-2-1_093077_2022-11-19_final.stac-item
2022-11-26 09:42:40	ga_ls9c_ard_3-2-1_094077_2022-11-26_final.stac-item
2022-12-03 09:48:49	ga_ls9c_ard_3-2-1_095077_2022-12-03_final.stac-item
2022-12-05 09:36:28	ga_ls9c_ard_3-2-1_093077_2022-12-05_final.stac-item
2022-12-21 09:36:27	ga_ls9c_ard_3-2-1_093077_2022-12-21_final.stac-item
2022-12-26 09:54:59	ga_ls9c_ard_3-2-1_096077_2022-12-26_final.stac-item
2022-12-28 09:42:39	ga_ls9c_ard_3-2-1_094077_2022-12-28_final.stac-item
2023-01-02 10:01:13	ga_ls9c_ard_3-2-1_097077_2023-01-02_final.stac-item
2023-01-06 09:36:30	ga_ls9c_ard_3-2-1_093077_2023-01-06_final.stac-item
2023-01-11 09:55:01	ga_ls9c_ard_3-2-1_096077_2023-01-11_final.stac-item
2023-01-18 10:01:05	ga_ls9c_ard_3-2-1_097077_2023-01-18_final.stac-item
2023-01-22 09:36:21	ga_ls9c_ard_3-2-1_093077_2023-01-22_final.stac-item
2023-02-03 10:01:15	ga_ls9c_ard_3-2-1_097077_2023-02-03_final.stac-item
2023-02-07 09:36:33	ga_ls9c_ard_3-2-1_093077_2023-02-07_final.stac-item
2023-03-02 09:42:28	ga_ls9c_ard_3-2-1_094077_2023-03-02_final.stac-item
2023-03-07 10:00:57	ga_ls9c_ard_3-2-1_097077_2023-03-07_final.stac-item
2023-03-16 09:54:44	ga_ls9c_ard_3-2-1_096077_2023-03-16_final.stac-item
2023-03-18 09:42:21	ga_ls9c_ard_3-2-1_094077_2023-03-18_final.stac-item
2023-03-23 10:00:51	ga_ls9c_ard_3-2-1_097077_2023-03-23_final.stac-item
2023-03-27 09:36:03	ga_ls9c_ard_3-2-1_093077_2023-03-27_final.stac-item
2023-04-01 09:54:32	ga_ls9c_ard_3-2-1_096077_2023-04-01_final.stac-item
2023-04-10 09:48:18	ga_ls9c_ard_3-2-1_095077_2023-04-10_final.stac-item
2023-04-12 09:35:55	ga_ls9c_ard_3-2-1_093077_2023-04-12_final.stac-item
2023-04-17 09:54:26	ga_ls9c_ard_3-2-1_096077_2023-04-17_final.stac-item
2023-04-19 09:42:04	ga_ls9c_ard_3-2-1_094077_2023-04-19_final.stac-item
2023-04-28 09:35:49	ga_ls9c_ard_3-2-1_093077_2023-04-28_final.stac-item
2023-05-05 09:41:52	ga_ls9c_ard_3-2-1_094077_2023-05-05_final.stac-item
2023-05-14 09:35:40	ga_ls9c_ard_3-2-1_093077_2023-05-14_final.stac-item
2023-05-28 09:47:52	ga_ls9c_ard_3-2-1_095077_2023-05-28_final.stac-item
2023-05-30 09:35:31	ga_ls9c_ard_3-2-1_093077_2023-05-30_final.stac-item
2023-06-04 09:54:02	ga_ls9c_ard_3-2-1_096077_2023-06-04_final.stac-item
2023-06-13 09:47:45	ga_ls9c_ard_3-2-1_095077_2023-06-13_final.stac-item
2023-06-15 09:35:21	ga_ls9c_ard_3-2-1_093077_2023-06-15_final.stac-item
2023-06-20 09:53:54	ga_ls9c_ard_3-2-1_096077_2023-06-20_final.stac-item
2023-06-22 09:41:33	ga_ls9c_ard_3-2-1_094077_2023-06-22_final.stac-item
2023-06-27 10:00:07	ga_ls9c_ard_3-2-1_097077_2023-06-27_final.stac-item
2023-06-29 09:47:49	ga_ls9c_ard_3-2-1_095077_2023-06-29_final.stac-item
2023-07-01 09:35:30	ga_ls9c_ard_3-2-1_093077_2023-07-01_final.stac-item

Return to ga_ls9c_ard_3 whole collection overview

ga_ls9c_ard_3: Geoscience Australia Landsat 9 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