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
2021-11-07 09:21:04	ga_ls9c_ard_3-2-1_090084_2021-11-06_final.stac-item
2021-11-08 10:01:01	ga_ls9c_ard_3-2-1_097084_2021-11-08_final.stac-item
2021-11-10 09:42:17	ga_ls9c_ard_3-2-1_094084_2021-11-10_final.stac-item
2021-11-15 09:44:21	ga_ls9c_ard_3-2-1_094083_2021-11-15_final.stac-item
2021-11-25 09:49:15	ga_ls9c_ard_3-2-1_095083_2021-11-25_final.stac-item
2021-12-07 09:57:21	ga_ls9c_ard_3-2-1_096083_2021-12-07_final.stac-item
2021-12-19 10:22:22	ga_ls9c_ard_3-2-1_100084_2021-12-19_final.stac-item
2021-12-23 09:57:16	ga_ls9c_ard_3-2-1_096083_2021-12-23_final.stac-item
2022-01-01 09:51:05	ga_ls9c_ard_3-2-1_095083_2022-01-01_final.stac-item
2022-02-02 09:51:04	ga_ls9c_ard_3-2-1_095083_2022-02-02_final.stac-item
2022-02-27 09:44:40	ga_ls9c_ard_3-2-1_094083_2022-02-27_final.stac-item
2022-03-22 09:50:46	ga_ls9c_ard_3-2-1_095083_2022-03-22_final.stac-item
2022-03-31 09:44:34	ga_ls9c_ard_3-2-1_094083_2022-03-31_final.stac-item
2022-04-23 09:50:33	ga_ls9c_ard_3-2-1_095083_2022-04-23_final.stac-item
2022-05-09 09:50:28	ga_ls9c_ard_3-2-1_095083_2022-05-09_final.stac-item
2022-05-16 09:56:33	ga_ls9c_ard_3-2-1_096083_2022-05-16_final.stac-item
2022-05-27 09:38:20	ga_ls9c_ard_3-2-1_093084_2022-05-27_final.stac-item
2022-05-28 10:21:36	ga_ls9c_ard_3-2-1_100084_2022-05-28_final.stac-item
2022-05-30 10:09:15	ga_ls9c_ard_3-2-1_098084_2022-05-30_final.stac-item
2022-06-03 09:44:09	ga_ls9c_ard_3-2-1_094083_2022-06-03_final.stac-item
2022-06-10 09:50:20	ga_ls9c_ard_3-2-1_095083_2022-06-10_final.stac-item
2022-06-17 09:56:37	ga_ls9c_ard_3-2-1_096083_2022-06-17_final.stac-item
2022-06-17 09:57:01	ga_ls9c_ard_3-2-1_096084_2022-06-17_final.stac-item
2022-06-22 10:15:43	ga_ls9c_ard_3-2-1_099084_2022-06-22_final.stac-item
2022-06-26 09:51:05	ga_ls9c_ard_3-2-1_095084_2022-06-26_final.stac-item
2022-07-08 10:15:45	ga_ls9c_ard_3-2-1_099084_2022-07-08_final.stac-item
2022-07-10 10:03:23	ga_ls9c_ard_3-2-1_097084_2022-07-10_final.stac-item
2022-07-19 09:56:51	ga_ls9c_ard_3-2-1_096083_2022-07-19_final.stac-item
2022-07-19 09:57:15	ga_ls9c_ard_3-2-1_096084_2022-07-19_final.stac-item
2022-07-28 09:50:48	ga_ls9c_ard_3-2-1_095083_2022-07-28_final.stac-item
2022-07-28 09:51:12	ga_ls9c_ard_3-2-1_095084_2022-07-28_final.stac-item
2022-08-06 09:44:44	ga_ls9c_ard_3-2-1_094083_2022-08-06_final.stac-item
2022-08-20 09:57:12	ga_ls9c_ard_3-2-1_096083_2022-08-20_final.stac-item
2022-09-07 09:45:14	ga_ls9c_ard_3-2-1_094084_2022-09-07_final.stac-item
2022-09-23 09:44:57	ga_ls9c_ard_3-2-1_094083_2022-09-23_final.stac-item
2022-10-07 09:57:19	ga_ls9c_ard_3-2-1_096083_2022-10-07_final.stac-item
2022-10-07 09:57:43	ga_ls9c_ard_3-2-1_096084_2022-10-07_final.stac-item
2022-10-25 09:45:04	ga_ls9c_ard_3-2-1_094083_2022-10-25_final.stac-item
2022-11-06 10:10:09	ga_ls9c_ard_3-2-1_098084_2022-11-06_nrt.stac-item
2022-11-08 09:57:25	ga_ls9c_ard_3-2-1_096083_2022-11-08_final.stac-item
2022-11-24 09:57:26	ga_ls9c_ard_3-2-1_096083_2022-11-24_final.stac-item
2022-11-26 09:45:03	ga_ls9c_ard_3-2-1_094083_2022-11-26_final.stac-item
2022-12-03 09:51:12	ga_ls9c_ard_3-2-1_095083_2022-12-03_final.stac-item
2022-12-06 10:22:32	ga_ls9c_ard_3-2-1_100084_2022-12-06_nrt.stac-item
2022-12-10 09:57:25	ga_ls9c_ard_3-2-1_096083_2022-12-10_final.stac-item
2022-12-12 09:45:04	ga_ls9c_ard_3-2-1_094083_2022-12-12_final.stac-item
2023-01-11 09:57:24	ga_ls9c_ard_3-2-1_096083_2023-01-11_final.stac-item
2023-01-13 09:45:01	ga_ls9c_ard_3-2-1_094083_2023-01-13_final.stac-item
2023-01-20 09:51:05	ga_ls9c_ard_3-2-1_095083_2023-01-20_final.stac-item
2023-02-14 09:45:05	ga_ls9c_ard_3-2-1_094083_2023-02-14_final.stac-item
2023-02-21 09:51:08	ga_ls9c_ard_3-2-1_095083_2023-02-21_final.stac-item
2023-03-09 09:50:56	ga_ls9c_ard_3-2-1_095083_2023-03-09_final.stac-item
2023-03-25 09:50:51	ga_ls9c_ard_3-2-1_095083_2023-03-25_final.stac-item
2023-06-06 09:44:03	ga_ls9c_ard_3-2-1_094083_2023-06-06_final.stac-item
2023-06-19 09:13:26	ga_ls9c_ard_3-2-1_089084_2023-06-18_final.stac-item
2023-06-25 10:15:14	ga_ls9c_ard_3-2-1_099084_2023-06-25_final.stac-item
2023-07-01 09:38:18	ga_ls9c_ard_3-2-1_093084_2023-07-01_final.stac-item
2023-07-08 09:44:10	ga_ls9c_ard_3-2-1_094083_2023-07-08_final.stac-item
2023-07-12 09:19:53	ga_ls9c_ard_3-2-1_090084_2023-07-11_final.stac-item
2023-07-15 09:50:24	ga_ls9c_ard_3-2-1_095083_2023-07-15_final.stac-item
2023-07-24 09:44:12	ga_ls9c_ard_3-2-1_094083_2023-07-24_final.stac-item
2023-07-31 09:50:29	ga_ls9c_ard_3-2-1_095083_2023-07-31_final.stac-item
2023-08-09 09:44:23	ga_ls9c_ard_3-2-1_094083_2023-08-09_final.stac-item
2023-08-16 09:50:34	ga_ls9c_ard_3-2-1_095083_2023-08-16_final.stac-item
2023-08-25 09:44:29	ga_ls9c_ard_3-2-1_094083_2023-08-25_final.stac-item
2023-09-01 09:50:44	ga_ls9c_ard_3-2-1_095083_2023-09-01_final.stac-item
2023-09-10 09:44:39	ga_ls9c_ard_3-2-1_094083_2023-09-10_final.stac-item
2023-09-17 09:50:52	ga_ls9c_ard_3-2-1_095083_2023-09-17_final.stac-item
2023-09-26 09:44:38	ga_ls9c_ard_3-2-1_094083_2023-09-26_final.stac-item
2023-10-03 09:50:53	ga_ls9c_ard_3-2-1_095083_2023-10-03_final.stac-item
2023-10-03 09:50:53	ga_ls9c_ard_3-2-1_095083_2023-10-03_interim.stac-item
2023-10-12 09:44:48	ga_ls9c_ard_3-2-1_094083_2023-10-12_final.stac-item
2023-10-19 09:51:03	ga_ls9c_ard_3-2-1_095083_2023-10-19_final.stac-item
2023-10-28 09:44:49	ga_ls9c_ard_3-2-1_094083_2023-10-28_final.stac-item
2023-11-04 09:50:55	ga_ls9c_ard_3-2-1_095083_2023-11-04_final.stac-item
2023-11-13 09:44:47	ga_ls9c_ard_3-2-1_094083_2023-11-13_final.stac-item
2023-11-20 09:51:02	ga_ls9c_ard_3-2-1_095083_2023-11-20_final.stac-item
2023-11-29 09:44:55	ga_ls9c_ard_3-2-1_094083_2023-11-29_final.stac-item
2023-12-06 09:51:02	ga_ls9c_ard_3-2-1_095083_2023-12-06_final.stac-item
2023-12-15 09:44:55	ga_ls9c_ard_3-2-1_094083_2023-12-15_final.stac-item
2023-12-22 09:51:08	ga_ls9c_ard_3-2-1_095083_2023-12-22_final.stac-item
2023-12-31 09:44:55	ga_ls9c_ard_3-2-1_094083_2023-12-31_final.stac-item
2024-01-07 09:51:01	ga_ls9c_ard_3-2-1_095083_2024-01-07_final.stac-item
2024-01-16 09:44:54	ga_ls9c_ard_3-2-1_094083_2024-01-16_final.stac-item
2024-01-23 09:51:01	ga_ls9c_ard_3-2-1_095083_2024-01-23_final.stac-item
2024-01-23 09:51:01	ga_ls9c_ard_3-2-1_095083_2024-01-23_interim.stac-item
2024-02-01 09:44:54	ga_ls9c_ard_3-2-1_094083_2024-02-01_final.stac-item
2024-02-08 09:51:06	ga_ls9c_ard_3-2-1_095083_2024-02-08_final.stac-item
2024-02-17 09:44:49	ga_ls9c_ard_3-2-1_094083_2024-02-17_final.stac-item
2024-02-24 09:50:52	ga_ls9c_ard_3-2-1_095083_2024-02-24_final.stac-item
2024-03-04 09:44:47	ga_ls9c_ard_3-2-1_094083_2024-03-04_final.stac-item
2024-03-04 09:44:47	ga_ls9c_ard_3-2-1_094083_2024-03-04_interim.stac-item
2024-03-11 09:50:58	ga_ls9c_ard_3-2-1_095083_2024-03-11_final.stac-item
2024-03-20 09:44:46	ga_ls9c_ard_3-2-1_094083_2024-03-20_final.stac-item
2024-03-27 09:50:51	ga_ls9c_ard_3-2-1_095083_2024-03-27_final.stac-item
2024-04-05 09:44:37	ga_ls9c_ard_3-2-1_094083_2024-04-05_final.stac-item
2024-04-12 09:50:44	ga_ls9c_ard_3-2-1_095083_2024-04-12_final.stac-item
2024-04-21 09:44:21	ga_ls9c_ard_3-2-1_094083_2024-04-21_final.stac-item
2024-04-28 09:50:25	ga_ls9c_ard_3-2-1_095083_2024-04-28_final.stac-item
2024-05-07 09:44:13	ga_ls9c_ard_3-2-1_094083_2024-05-07_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