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 09:56:57	ga_ls9c_ard_3-2-1_096080_2021-11-03_final.stac-item
2021-11-08 09:59:26	ga_ls9c_ard_3-2-1_097080_2021-11-08_final.stac-item
2021-11-13 10:01:06	ga_ls9c_ard_3-2-1_097078_2021-11-13_final.stac-item
2021-12-07 09:56:09	ga_ls9c_ard_3-2-1_096080_2021-12-07_final.stac-item
2021-12-14 10:01:27	ga_ls9c_ard_3-2-1_097078_2021-12-14_final.stac-item
2021-12-21 10:04:02	ga_ls9c_ard_3-2-1_098069_2021-12-21_final.stac-item
2022-01-08 09:56:02	ga_ls9c_ard_3-2-1_096080_2022-01-08_final.stac-item
2022-01-13 10:10:10	ga_ls9c_ard_3-2-1_099069_2022-01-13_final.stac-item
2022-01-24 09:56:03	ga_ls9c_ard_3-2-1_096080_2022-01-24_final.stac-item
2022-01-29 10:10:12	ga_ls9c_ard_3-2-1_099069_2022-01-29_final.stac-item
2022-02-25 09:55:52	ga_ls9c_ard_3-2-1_096080_2022-02-25_final.stac-item
2022-03-04 10:01:11	ga_ls9c_ard_3-2-1_097078_2022-03-04_final.stac-item
2022-03-27 10:03:41	ga_ls9c_ard_3-2-1_098069_2022-03-27_final.stac-item
2022-03-29 09:54:55	ga_ls9c_ard_3-2-1_096078_2022-03-29_final.stac-item
2022-03-29 09:55:43	ga_ls9c_ard_3-2-1_096080_2022-03-29_final.stac-item
2022-04-05 10:01:06	ga_ls9c_ard_3-2-1_097078_2022-04-05_final.stac-item
2022-04-12 10:03:38	ga_ls9c_ard_3-2-1_098069_2022-04-12_final.stac-item
2022-04-28 10:03:30	ga_ls9c_ard_3-2-1_098069_2022-04-28_final.stac-item
2022-04-30 09:55:31	ga_ls9c_ard_3-2-1_096080_2022-04-30_final.stac-item
2022-05-05 10:09:38	ga_ls9c_ard_3-2-1_099069_2022-05-05_final.stac-item
2022-05-07 10:00:51	ga_ls9c_ard_3-2-1_097078_2022-05-07_final.stac-item
2022-05-14 10:03:21	ga_ls9c_ard_3-2-1_098069_2022-05-14_final.stac-item
2022-06-01 09:55:18	ga_ls9c_ard_3-2-1_096080_2022-06-01_final.stac-item
2022-06-17 09:54:37	ga_ls9c_ard_3-2-1_096078_2022-06-17_final.stac-item
2022-06-17 09:55:25	ga_ls9c_ard_3-2-1_096080_2022-06-17_final.stac-item
2022-06-22 10:09:44	ga_ls9c_ard_3-2-1_099069_2022-06-22_final.stac-item
2022-07-03 09:54:51	ga_ls9c_ard_3-2-1_096078_2022-07-03_final.stac-item
2022-07-03 09:55:39	ga_ls9c_ard_3-2-1_096080_2022-07-03_final.stac-item
2022-07-24 10:09:53	ga_ls9c_ard_3-2-1_099069_2022-07-24_final.stac-item
2022-08-02 10:03:49	ga_ls9c_ard_3-2-1_098069_2022-08-02_final.stac-item
2022-08-18 10:03:57	ga_ls9c_ard_3-2-1_098069_2022-08-18_final.stac-item
2022-08-20 09:55:12	ga_ls9c_ard_3-2-1_096078_2022-08-20_final.stac-item
2022-09-03 10:03:59	ga_ls9c_ard_3-2-1_098069_2022-09-03_final.stac-item
2022-09-05 09:55:12	ga_ls9c_ard_3-2-1_096078_2022-09-05_final.stac-item
2022-09-19 10:04:04	ga_ls9c_ard_3-2-1_098069_2022-09-19_final.stac-item
2022-09-21 09:56:07	ga_ls9c_ard_3-2-1_096080_2022-09-21_final.stac-item
2022-09-28 10:01:31	ga_ls9c_ard_3-2-1_097078_2022-09-28_final.stac-item
2022-10-05 10:04:06	ga_ls9c_ard_3-2-1_098069_2022-10-05_final.stac-item
2022-10-07 09:55:19	ga_ls9c_ard_3-2-1_096078_2022-10-07_final.stac-item
2022-10-14 10:01:35	ga_ls9c_ard_3-2-1_097078_2022-10-14_final.stac-item
2022-10-23 09:55:26	ga_ls9c_ard_3-2-1_096078_2022-10-23_final.stac-item
2022-10-30 10:01:36	ga_ls9c_ard_3-2-1_097078_2022-10-30_final.stac-item
2022-11-08 09:55:25	ga_ls9c_ard_3-2-1_096078_2022-11-08_final.stac-item
2022-11-15 10:01:38	ga_ls9c_ard_3-2-1_097078_2022-11-15_final.stac-item
2022-11-24 09:55:26	ga_ls9c_ard_3-2-1_096078_2022-11-24_final.stac-item
2022-12-01 10:01:34	ga_ls9c_ard_3-2-1_097078_2022-12-01_final.stac-item
2022-12-10 09:55:26	ga_ls9c_ard_3-2-1_096078_2022-12-10_final.stac-item
2022-12-17 10:01:36	ga_ls9c_ard_3-2-1_097078_2022-12-17_final.stac-item
2022-12-26 09:55:23	ga_ls9c_ard_3-2-1_096078_2022-12-26_final.stac-item
2023-01-02 10:01:37	ga_ls9c_ard_3-2-1_097078_2023-01-02_final.stac-item
2023-01-11 09:55:24	ga_ls9c_ard_3-2-1_096078_2023-01-11_final.stac-item
2023-01-18 10:01:29	ga_ls9c_ard_3-2-1_097078_2023-01-18_final.stac-item
2023-01-27 09:55:23	ga_ls9c_ard_3-2-1_096078_2023-01-27_final.stac-item
2023-02-03 10:01:39	ga_ls9c_ard_3-2-1_097078_2023-02-03_final.stac-item
2023-02-12 09:55:29	ga_ls9c_ard_3-2-1_096078_2023-02-12_final.stac-item
2023-02-19 10:01:33	ga_ls9c_ard_3-2-1_097078_2023-02-19_final.stac-item
2023-03-07 10:01:21	ga_ls9c_ard_3-2-1_097078_2023-03-07_final.stac-item
2023-03-23 10:01:15	ga_ls9c_ard_3-2-1_097078_2023-03-23_final.stac-item
2023-04-01 09:54:56	ga_ls9c_ard_3-2-1_096078_2023-04-01_final.stac-item
2023-04-01 09:55:44	ga_ls9c_ard_3-2-1_096080_2023-04-01_final.stac-item
2023-04-08 10:01:05	ga_ls9c_ard_3-2-1_097078_2023-04-08_final.stac-item
2023-04-17 09:54:50	ga_ls9c_ard_3-2-1_096078_2023-04-17_final.stac-item
2023-04-24 10:00:59	ga_ls9c_ard_3-2-1_097078_2023-04-24_final.stac-item
2023-05-03 09:54:39	ga_ls9c_ard_3-2-1_096078_2023-05-03_final.stac-item
2023-05-10 10:00:48	ga_ls9c_ard_3-2-1_097078_2023-05-10_final.stac-item
2023-05-19 09:54:33	ga_ls9c_ard_3-2-1_096078_2023-05-19_final.stac-item
2023-05-26 10:00:38	ga_ls9c_ard_3-2-1_097078_2023-05-26_final.stac-item
2023-06-04 09:54:26	ga_ls9c_ard_3-2-1_096078_2023-06-04_final.stac-item
2023-06-11 10:00:33	ga_ls9c_ard_3-2-1_097078_2023-06-11_final.stac-item
2023-06-20 09:54:18	ga_ls9c_ard_3-2-1_096078_2023-06-20_final.stac-item
2023-06-27 10:00:31	ga_ls9c_ard_3-2-1_097078_2023-06-27_final.stac-item
2023-07-06 09:54:31	ga_ls9c_ard_3-2-1_096078_2023-07-06_final.stac-item
2023-07-13 10:00:45	ga_ls9c_ard_3-2-1_097078_2023-07-13_final.stac-item
2023-07-22 09:54:34	ga_ls9c_ard_3-2-1_096078_2023-07-22_final.stac-item
2023-07-29 10:00:49	ga_ls9c_ard_3-2-1_097078_2023-07-29_final.stac-item
2023-09-08 09:55:48	ga_ls9c_ard_3-2-1_096080_2023-09-08_final.stac-item
2023-09-24 09:55:49	ga_ls9c_ard_3-2-1_096080_2023-09-24_final.stac-item
2023-10-10 09:55:56	ga_ls9c_ard_3-2-1_096080_2023-10-10_final.stac-item
2023-10-26 09:56:00	ga_ls9c_ard_3-2-1_096080_2023-10-26_final.stac-item
2023-11-11 09:55:57	ga_ls9c_ard_3-2-1_096080_2023-11-11_final.stac-item
2023-11-27 09:56:05	ga_ls9c_ard_3-2-1_096080_2023-11-27_final.stac-item
2023-12-13 09:56:04	ga_ls9c_ard_3-2-1_096080_2023-12-13_final.stac-item
2023-12-29 09:56:06	ga_ls9c_ard_3-2-1_096080_2023-12-29_final.stac-item
2024-01-14 09:56:03	ga_ls9c_ard_3-2-1_096080_2024-01-14_final.stac-item
2024-01-30 09:56:03	ga_ls9c_ard_3-2-1_096080_2024-01-30_final.stac-item
2024-02-15 09:56:01	ga_ls9c_ard_3-2-1_096080_2024-02-15_final.stac-item
2024-03-02 09:55:56	ga_ls9c_ard_3-2-1_096080_2024-03-02_final.stac-item
2024-03-16 10:03:54	ga_ls9c_ard_3-2-1_098069_2024-03-16_final.stac-item
2024-03-23 10:10:03	ga_ls9c_ard_3-2-1_099069_2024-03-23_final.stac-item
2024-04-01 10:03:45	ga_ls9c_ard_3-2-1_098069_2024-04-01_final.stac-item
2024-04-03 09:55:47	ga_ls9c_ard_3-2-1_096080_2024-04-03_final.stac-item
2024-04-08 10:09:54	ga_ls9c_ard_3-2-1_099069_2024-04-08_final.stac-item
2024-04-17 10:03:36	ga_ls9c_ard_3-2-1_098069_2024-04-17_final.stac-item
2024-04-19 09:55:34	ga_ls9c_ard_3-2-1_096080_2024-04-19_final.stac-item
2024-04-24 10:09:33	ga_ls9c_ard_3-2-1_099069_2024-04-24_final.stac-item
2024-05-03 10:03:20	ga_ls9c_ard_3-2-1_098069_2024-05-03_final.stac-item
2024-05-05 09:55:23	ga_ls9c_ard_3-2-1_096080_2024-05-05_final.stac-item
2024-05-10 10:09:32	ga_ls9c_ard_3-2-1_099069_2024-05-10_final.stac-item
2024-05-19 10:03:13	ga_ls9c_ard_3-2-1_098069_2024-05-19_nrt.stac-item
2024-05-21 09:55:14	ga_ls9c_ard_3-2-1_096080_2024-05-21_nrt.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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years