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
2021-11-13 11:40:34	ga_ls9c_ard_3-2-1_113080_2021-11-13_final.stac-item
2021-12-05 11:47:25	ga_ls9c_ard_3-2-1_114080_2021-12-05_final.stac-item
2021-12-14 11:41:08	ga_ls9c_ard_3-2-1_113080_2021-12-14_final.stac-item
2021-12-21 11:47:18	ga_ls9c_ard_3-2-1_114080_2021-12-21_final.stac-item
2021-12-30 11:41:08	ga_ls9c_ard_3-2-1_113080_2021-12-30_final.stac-item
2022-01-15 11:41:05	ga_ls9c_ard_3-2-1_113080_2022-01-15_final.stac-item
2022-01-22 11:47:17	ga_ls9c_ard_3-2-1_114080_2022-01-22_final.stac-item
2022-01-31 11:41:07	ga_ls9c_ard_3-2-1_113080_2022-01-31_final.stac-item
2022-02-07 11:47:17	ga_ls9c_ard_3-2-1_114080_2022-02-07_final.stac-item
2022-02-16 11:41:02	ga_ls9c_ard_3-2-1_113080_2022-02-16_final.stac-item
2022-02-23 11:47:08	ga_ls9c_ard_3-2-1_114080_2022-02-23_final.stac-item
2022-03-11 11:47:03	ga_ls9c_ard_3-2-1_114080_2022-03-11_final.stac-item
2022-03-27 11:46:58	ga_ls9c_ard_3-2-1_114080_2022-03-27_final.stac-item
2022-04-05 11:40:47	ga_ls9c_ard_3-2-1_113080_2022-04-05_final.stac-item
2022-04-12 11:46:54	ga_ls9c_ard_3-2-1_114080_2022-04-12_final.stac-item
2022-04-21 11:40:36	ga_ls9c_ard_3-2-1_113080_2022-04-21_final.stac-item
2022-04-28 11:46:46	ga_ls9c_ard_3-2-1_114080_2022-04-28_final.stac-item
2022-05-07 11:40:32	ga_ls9c_ard_3-2-1_113080_2022-05-07_final.stac-item
2022-05-14 11:46:38	ga_ls9c_ard_3-2-1_114080_2022-05-14_final.stac-item
2022-07-10 11:40:40	ga_ls9c_ard_3-2-1_113080_2022-07-10_final.stac-item
2022-07-17 11:46:51	ga_ls9c_ard_3-2-1_114080_2022-07-17_final.stac-item
2022-07-26 11:40:50	ga_ls9c_ard_3-2-1_113080_2022-07-26_final.stac-item
2022-08-02 11:47:06	ga_ls9c_ard_3-2-1_114080_2022-08-02_final.stac-item
2022-08-11 11:40:37	ga_ls9c_ard_3-2-1_113079_2022-08-11_final.stac-item
2022-09-03 11:47:15	ga_ls9c_ard_3-2-1_114080_2022-09-03_final.stac-item
2022-09-12 11:41:06	ga_ls9c_ard_3-2-1_113080_2022-09-12_final.stac-item
2022-09-28 11:41:12	ga_ls9c_ard_3-2-1_113080_2022-09-28_final.stac-item
2022-10-05 11:47:22	ga_ls9c_ard_3-2-1_114080_2022-10-05_final.stac-item
2022-10-14 11:41:16	ga_ls9c_ard_3-2-1_113080_2022-10-14_final.stac-item
2022-10-30 11:41:17	ga_ls9c_ard_3-2-1_113080_2022-10-30_final.stac-item
2022-11-06 11:47:27	ga_ls9c_ard_3-2-1_114080_2022-11-06_final.stac-item
2022-11-15 11:41:19	ga_ls9c_ard_3-2-1_113080_2022-11-15_final.stac-item
2022-11-22 11:47:29	ga_ls9c_ard_3-2-1_114080_2022-11-22_final.stac-item
2022-12-01 11:41:15	ga_ls9c_ard_3-2-1_113080_2022-12-01_final.stac-item
2022-12-17 11:41:17	ga_ls9c_ard_3-2-1_113080_2022-12-17_final.stac-item
2023-01-02 11:41:18	ga_ls9c_ard_3-2-1_113080_2023-01-02_final.stac-item
2023-01-09 11:47:28	ga_ls9c_ard_3-2-1_114080_2023-01-09_final.stac-item
2023-01-18 11:41:10	ga_ls9c_ard_3-2-1_113080_2023-01-18_final.stac-item
2023-01-25 11:47:24	ga_ls9c_ard_3-2-1_114080_2023-01-25_final.stac-item
2023-02-03 11:40:56	ga_ls9c_ard_3-2-1_113079_2023-02-03_final.stac-item
2023-02-03 11:41:20	ga_ls9c_ard_3-2-1_113080_2023-02-03_final.stac-item
2023-02-10 11:47:32	ga_ls9c_ard_3-2-1_114080_2023-02-10_final.stac-item
2023-02-17 11:52:02	ga_ls9c_ard_3-2-1_115076_2023-02-17_final.stac-item
2023-02-19 11:40:49	ga_ls9c_ard_3-2-1_113079_2023-02-19_final.stac-item
2023-02-19 11:41:13	ga_ls9c_ard_3-2-1_113080_2023-02-19_final.stac-item
2023-02-26 11:47:17	ga_ls9c_ard_3-2-1_114080_2023-02-26_final.stac-item
2023-03-07 11:41:02	ga_ls9c_ard_3-2-1_113080_2023-03-07_final.stac-item
2023-03-14 11:45:11	ga_ls9c_ard_3-2-1_114075_2023-03-14_final.stac-item
2023-03-14 11:47:10	ga_ls9c_ard_3-2-1_114080_2023-03-14_final.stac-item
2023-03-23 11:40:56	ga_ls9c_ard_3-2-1_113080_2023-03-23_final.stac-item
2023-03-30 11:46:58	ga_ls9c_ard_3-2-1_114080_2023-03-30_final.stac-item
2023-04-08 11:40:46	ga_ls9c_ard_3-2-1_113080_2023-04-08_final.stac-item
2023-04-15 11:44:52	ga_ls9c_ard_3-2-1_114075_2023-04-15_final.stac-item
2023-04-15 11:46:52	ga_ls9c_ard_3-2-1_114080_2023-04-15_final.stac-item
2023-04-24 11:40:40	ga_ls9c_ard_3-2-1_113080_2023-04-24_final.stac-item
2023-05-01 11:44:45	ga_ls9c_ard_3-2-1_114075_2023-05-01_final.stac-item
2023-05-10 11:40:29	ga_ls9c_ard_3-2-1_113080_2023-05-10_final.stac-item
2023-05-17 11:44:37	ga_ls9c_ard_3-2-1_114075_2023-05-17_final.stac-item
2023-05-17 11:46:37	ga_ls9c_ard_3-2-1_114080_2023-05-17_final.stac-item
2023-05-26 11:40:19	ga_ls9c_ard_3-2-1_113080_2023-05-26_final.stac-item
2023-06-18 11:44:21	ga_ls9c_ard_3-2-1_114075_2023-06-18_final.stac-item
2023-06-27 11:39:48	ga_ls9c_ard_3-2-1_113079_2023-06-27_final.stac-item
2023-06-27 11:40:12	ga_ls9c_ard_3-2-1_113080_2023-06-27_final.stac-item
2023-07-04 11:44:32	ga_ls9c_ard_3-2-1_114075_2023-07-04_final.stac-item
2023-07-13 11:40:26	ga_ls9c_ard_3-2-1_113080_2023-07-13_final.stac-item
2023-07-29 11:40:30	ga_ls9c_ard_3-2-1_113080_2023-07-29_final.stac-item
2023-08-05 11:46:46	ga_ls9c_ard_3-2-1_114080_2023-08-05_final.stac-item
2023-08-12 11:51:23	ga_ls9c_ard_3-2-1_115076_2023-08-12_final.stac-item
2023-08-14 11:40:37	ga_ls9c_ard_3-2-1_113080_2023-08-14_final.stac-item
2023-08-21 11:45:15	ga_ls9c_ard_3-2-1_114076_2023-08-21_final.stac-item
2023-08-28 11:51:31	ga_ls9c_ard_3-2-1_115076_2023-08-28_final.stac-item
2023-09-06 11:45:25	ga_ls9c_ard_3-2-1_114076_2023-09-06_final.stac-item
2023-09-13 11:51:41	ga_ls9c_ard_3-2-1_115076_2023-09-13_final.stac-item
2023-09-22 11:45:29	ga_ls9c_ard_3-2-1_114076_2023-09-22_final.stac-item
2023-09-29 11:51:37	ga_ls9c_ard_3-2-1_115076_2023-09-29_final.stac-item
2023-10-08 11:45:33	ga_ls9c_ard_3-2-1_114076_2023-10-08_final.stac-item
2023-10-15 11:51:50	ga_ls9c_ard_3-2-1_115076_2023-10-15_final.stac-item
2023-10-24 11:45:40	ga_ls9c_ard_3-2-1_114076_2023-10-24_final.stac-item
2023-10-31 11:51:46	ga_ls9c_ard_3-2-1_115076_2023-10-31_final.stac-item
2023-11-09 11:45:36	ga_ls9c_ard_3-2-1_114076_2023-11-09_final.stac-item
2023-11-16 11:51:47	ga_ls9c_ard_3-2-1_115076_2023-11-16_final.stac-item
2023-11-25 11:45:44	ga_ls9c_ard_3-2-1_114076_2023-11-25_final.stac-item
2023-12-02 11:51:54	ga_ls9c_ard_3-2-1_115076_2023-12-02_final.stac-item
2023-12-11 11:45:41	ga_ls9c_ard_3-2-1_114076_2023-12-11_final.stac-item
2023-12-18 11:51:56	ga_ls9c_ard_3-2-1_115076_2023-12-18_final.stac-item
2023-12-27 11:45:46	ga_ls9c_ard_3-2-1_114076_2023-12-27_final.stac-item
2024-01-03 11:51:52	ga_ls9c_ard_3-2-1_115076_2024-01-03_final.stac-item
2024-01-12 11:45:42	ga_ls9c_ard_3-2-1_114076_2024-01-12_final.stac-item
2024-01-19 11:51:52	ga_ls9c_ard_3-2-1_115076_2024-01-19_final.stac-item
2024-01-28 11:45:41	ga_ls9c_ard_3-2-1_114076_2024-01-28_final.stac-item
2024-02-04 11:51:55	ga_ls9c_ard_3-2-1_115076_2024-02-04_final.stac-item
2024-02-13 11:45:42	ga_ls9c_ard_3-2-1_114076_2024-02-13_final.stac-item
2024-02-20 11:51:45	ga_ls9c_ard_3-2-1_115076_2024-02-20_final.stac-item
2024-02-29 11:45:34	ga_ls9c_ard_3-2-1_114076_2024-02-29_final.stac-item
2024-03-07 11:51:47	ga_ls9c_ard_3-2-1_115076_2024-03-07_final.stac-item
2024-03-16 11:45:35	ga_ls9c_ard_3-2-1_114076_2024-03-16_final.stac-item
2024-03-23 11:51:44	ga_ls9c_ard_3-2-1_115076_2024-03-23_final.stac-item
2024-04-01 11:45:26	ga_ls9c_ard_3-2-1_114076_2024-04-01_final.stac-item
2024-04-08 11:51:35	ga_ls9c_ard_3-2-1_115076_2024-04-08_final.stac-item
2024-04-17 11:45:16	ga_ls9c_ard_3-2-1_114076_2024-04-17_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years