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
2021-11-14 10:39:04	ga_ls9c_ard_3-2-1_103073_2021-11-14_final.stac-item
2021-11-14 10:40:16	ga_ls9c_ard_3-2-1_103076_2021-11-14_final.stac-item
2021-11-14 10:40:40	ga_ls9c_ard_3-2-1_103077_2021-11-14_final.stac-item
2021-11-19 10:41:08	ga_ls9c_ard_3-2-1_104072_2021-11-19_final.stac-item
2021-11-19 10:41:32	ga_ls9c_ard_3-2-1_104073_2021-11-19_final.stac-item
2021-11-19 10:42:43	ga_ls9c_ard_3-2-1_104076_2021-11-19_final.stac-item
2021-12-17 10:32:20	ga_ls9c_ard_3-2-1_102078_2021-12-17_final.stac-item
2021-12-17 10:32:44	ga_ls9c_ard_3-2-1_102079_2021-12-17_final.stac-item
2021-12-17 10:33:07	ga_ls9c_ard_3-2-1_102080_2021-12-17_final.stac-item
2021-12-17 10:33:31	ga_ls9c_ard_3-2-1_102081_2021-12-17_final.stac-item
2021-12-17 10:33:55	ga_ls9c_ard_3-2-1_102082_2021-12-17_final.stac-item
2021-12-31 10:41:07	ga_ls9c_ard_3-2-1_104069_2021-12-31_final.stac-item
2021-12-31 10:41:31	ga_ls9c_ard_3-2-1_104070_2021-12-31_final.stac-item
2021-12-31 10:41:55	ga_ls9c_ard_3-2-1_104071_2021-12-31_final.stac-item
2021-12-31 10:42:19	ga_ls9c_ard_3-2-1_104072_2021-12-31_final.stac-item
2021-12-31 10:42:43	ga_ls9c_ard_3-2-1_104073_2021-12-31_final.stac-item
2021-12-31 10:43:07	ga_ls9c_ard_3-2-1_104074_2021-12-31_final.stac-item
2021-12-31 10:43:30	ga_ls9c_ard_3-2-1_104075_2021-12-31_final.stac-item
2022-02-10 10:36:53	ga_ls9c_ard_3-2-1_103074_2022-02-10_final.stac-item
2022-02-10 10:37:17	ga_ls9c_ard_3-2-1_103075_2022-02-10_final.stac-item
2022-02-10 10:37:41	ga_ls9c_ard_3-2-1_103076_2022-02-10_final.stac-item
2022-02-10 10:38:05	ga_ls9c_ard_3-2-1_103077_2022-02-10_final.stac-item
2022-02-10 10:38:29	ga_ls9c_ard_3-2-1_103078_2022-02-10_final.stac-item
2022-02-10 10:38:53	ga_ls9c_ard_3-2-1_103079_2022-02-10_final.stac-item
2022-02-10 10:39:17	ga_ls9c_ard_3-2-1_103080_2022-02-10_final.stac-item
2022-08-28 10:41:04	ga_ls9c_ard_3-2-1_104069_2022-08-28_final.stac-item
2022-08-28 10:41:28	ga_ls9c_ard_3-2-1_104070_2022-08-28_final.stac-item
2022-08-28 10:41:52	ga_ls9c_ard_3-2-1_104071_2022-08-28_final.stac-item
2022-08-28 10:42:16	ga_ls9c_ard_3-2-1_104072_2022-08-28_final.stac-item
2022-08-28 10:42:40	ga_ls9c_ard_3-2-1_104073_2022-08-28_final.stac-item
2022-08-28 10:43:04	ga_ls9c_ard_3-2-1_104074_2022-08-28_final.stac-item
2022-08-28 10:43:27	ga_ls9c_ard_3-2-1_104075_2022-08-28_final.stac-item
2022-09-13 10:41:06	ga_ls9c_ard_3-2-1_104069_2022-09-13_final.stac-item
2022-09-13 10:41:30	ga_ls9c_ard_3-2-1_104070_2022-09-13_final.stac-item
2022-09-13 10:41:54	ga_ls9c_ard_3-2-1_104071_2022-09-13_final.stac-item
2022-09-13 10:42:18	ga_ls9c_ard_3-2-1_104072_2022-09-13_final.stac-item
2022-09-13 10:42:42	ga_ls9c_ard_3-2-1_104073_2022-09-13_final.stac-item
2022-09-13 10:43:06	ga_ls9c_ard_3-2-1_104074_2022-09-13_final.stac-item
2022-09-13 10:43:29	ga_ls9c_ard_3-2-1_104075_2022-09-13_final.stac-item
2022-09-29 10:41:11	ga_ls9c_ard_3-2-1_104069_2022-09-29_final.stac-item
2022-09-29 10:41:35	ga_ls9c_ard_3-2-1_104070_2022-09-29_final.stac-item
2022-09-29 10:41:59	ga_ls9c_ard_3-2-1_104071_2022-09-29_final.stac-item
2022-09-29 10:42:23	ga_ls9c_ard_3-2-1_104072_2022-09-29_final.stac-item
2022-09-29 10:42:47	ga_ls9c_ard_3-2-1_104073_2022-09-29_final.stac-item
2022-09-29 10:43:11	ga_ls9c_ard_3-2-1_104074_2022-09-29_final.stac-item
2022-09-29 10:43:35	ga_ls9c_ard_3-2-1_104075_2022-09-29_final.stac-item
2023-06-05 10:36:06	ga_ls9c_ard_3-2-1_103074_2023-06-05_final.stac-item
2023-06-05 10:36:29	ga_ls9c_ard_3-2-1_103075_2023-06-05_final.stac-item
2023-06-05 10:36:53	ga_ls9c_ard_3-2-1_103076_2023-06-05_final.stac-item
2023-06-05 10:37:17	ga_ls9c_ard_3-2-1_103077_2023-06-05_final.stac-item
2023-06-05 10:37:41	ga_ls9c_ard_3-2-1_103078_2023-06-05_final.stac-item
2023-06-05 10:38:05	ga_ls9c_ard_3-2-1_103079_2023-06-05_final.stac-item
2023-07-25 10:27:03	ga_ls9c_ard_3-2-1_101082_2023-07-25_final.stac-item
2023-07-25 10:27:27	ga_ls9c_ard_3-2-1_101083_2023-07-25_final.stac-item
2023-08-06 10:45:58	ga_ls9c_ard_3-2-1_105067_2023-08-06_final.stac-item
2023-08-06 10:46:22	ga_ls9c_ard_3-2-1_105068_2023-08-06_final.stac-item
2023-08-06 10:46:46	ga_ls9c_ard_3-2-1_105069_2023-08-06_final.stac-item
2023-08-06 10:47:10	ga_ls9c_ard_3-2-1_105070_2023-08-06_final.stac-item
2023-08-08 10:36:24	ga_ls9c_ard_3-2-1_103074_2023-08-08_final.stac-item
2023-08-08 10:36:48	ga_ls9c_ard_3-2-1_103075_2023-08-08_final.stac-item
2023-08-08 10:37:12	ga_ls9c_ard_3-2-1_103076_2023-08-08_final.stac-item
2023-08-08 10:37:36	ga_ls9c_ard_3-2-1_103077_2023-08-08_final.stac-item
2023-08-08 10:38:00	ga_ls9c_ard_3-2-1_103078_2023-08-08_final.stac-item
2023-08-08 10:38:24	ga_ls9c_ard_3-2-1_103079_2023-08-08_final.stac-item
2023-08-10 10:27:15	ga_ls9c_ard_3-2-1_101082_2023-08-10_final.stac-item
2023-08-10 10:27:39	ga_ls9c_ard_3-2-1_101083_2023-08-10_final.stac-item
2024-01-17 10:27:45	ga_ls9c_ard_3-2-1_101082_2024-01-17_final.stac-item
2024-01-17 10:28:09	ga_ls9c_ard_3-2-1_101083_2024-01-17_final.stac-item
2024-01-31 10:36:56	ga_ls9c_ard_3-2-1_103074_2024-01-31_final.stac-item
2024-01-31 10:37:20	ga_ls9c_ard_3-2-1_103075_2024-01-31_final.stac-item
2024-01-31 10:37:44	ga_ls9c_ard_3-2-1_103076_2024-01-31_final.stac-item
2024-01-31 10:38:08	ga_ls9c_ard_3-2-1_103077_2024-01-31_final.stac-item
2024-01-31 10:38:32	ga_ls9c_ard_3-2-1_103078_2024-01-31_final.stac-item
2024-01-31 10:38:56	ga_ls9c_ard_3-2-1_103079_2024-01-31_final.stac-item
2024-02-02 10:27:47	ga_ls9c_ard_3-2-1_101082_2024-02-02_final.stac-item
2024-02-02 10:28:11	ga_ls9c_ard_3-2-1_101083_2024-02-02_final.stac-item
2024-02-14 10:46:28	ga_ls9c_ard_3-2-1_105067_2024-02-14_final.stac-item
2024-02-14 10:46:52	ga_ls9c_ard_3-2-1_105068_2024-02-14_final.stac-item
2024-02-14 10:47:16	ga_ls9c_ard_3-2-1_105069_2024-02-14_final.stac-item
2024-02-14 10:47:40	ga_ls9c_ard_3-2-1_105070_2024-02-14_final.stac-item
2024-02-16 10:36:52	ga_ls9c_ard_3-2-1_103074_2024-02-16_final.stac-item
2024-02-16 10:37:16	ga_ls9c_ard_3-2-1_103075_2024-02-16_final.stac-item
2024-02-16 10:37:40	ga_ls9c_ard_3-2-1_103076_2024-02-16_final.stac-item
2024-02-16 10:38:04	ga_ls9c_ard_3-2-1_103077_2024-02-16_final.stac-item
2024-02-16 10:38:28	ga_ls9c_ard_3-2-1_103078_2024-02-16_final.stac-item
2024-02-16 10:38:52	ga_ls9c_ard_3-2-1_103079_2024-02-16_final.stac-item
2024-02-23 10:40:54	ga_ls9c_ard_3-2-1_104069_2024-02-23_final.stac-item
2024-02-23 10:41:18	ga_ls9c_ard_3-2-1_104070_2024-02-23_final.stac-item
2024-02-23 10:41:41	ga_ls9c_ard_3-2-1_104071_2024-02-23_final.stac-item
2024-02-23 10:42:05	ga_ls9c_ard_3-2-1_104072_2024-02-23_final.stac-item
2024-02-23 10:42:29	ga_ls9c_ard_3-2-1_104073_2024-02-23_final.stac-item
2024-02-23 10:42:53	ga_ls9c_ard_3-2-1_104074_2024-02-23_final.stac-item
2024-02-23 10:43:17	ga_ls9c_ard_3-2-1_104075_2024-02-23_final.stac-item
2024-02-25 10:32:09	ga_ls9c_ard_3-2-1_102078_2024-02-25_final.stac-item
2024-02-25 10:32:33	ga_ls9c_ard_3-2-1_102079_2024-02-25_final.stac-item
2024-02-25 10:32:57	ga_ls9c_ard_3-2-1_102080_2024-02-25_final.stac-item
2024-02-25 10:33:21	ga_ls9c_ard_3-2-1_102081_2024-02-25_final.stac-item
2024-02-25 10:33:45	ga_ls9c_ard_3-2-1_102082_2024-02-25_final.stac-item
2024-03-03 10:38:49	ga_ls9c_ard_3-2-1_103079_2024-03-03_final.stac-item
2024-03-05 10:27:39	ga_ls9c_ard_3-2-1_101082_2024-03-05_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