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

91 results

Time (local)	Label
2021-10-31 11:10:00	ga_ls9c_ard_3-2-1_109069_2021-10-31_final.stac-item
2021-11-23 10:05:37	ga_ls9c_ard_3-2-1_098077_2021-11-23_final.stac-item
2021-12-08 10:35:49	ga_ls9c_ard_3-2-1_103071_2021-12-08_final.stac-item
2021-12-11 11:06:17	ga_ls9c_ard_3-2-1_108070_2021-12-11_final.stac-item
2021-12-21 10:08:01	ga_ls9c_ard_3-2-1_098079_2021-12-21_final.stac-item
2021-12-21 11:46:06	ga_ls9c_ard_3-2-1_114077_2021-12-21_final.stac-item
2021-12-28 11:51:06	ga_ls9c_ard_3-2-1_115074_2021-12-28_final.stac-item
2022-01-08 11:33:19	ga_ls9c_ard_3-2-1_112076_2022-01-08_final.stac-item
2022-01-25 10:37:43	ga_ls9c_ard_3-2-1_103076_2022-01-25_final.stac-item
2022-01-30 09:19:46	ga_ls9c_ard_3-2-1_090082_2022-01-29_final.stac-item
2022-02-09 09:53:38	ga_ls9c_ard_3-2-1_096074_2022-02-09_final.stac-item
2022-02-20 11:12:40	ga_ls9c_ard_3-2-1_109071_2022-02-20_final.stac-item
2022-03-10 09:28:06	ga_ls9c_ard_3-2-1_091088_2022-03-09_final.stac-item
2022-03-22 09:50:23	ga_ls9c_ard_3-2-1_095082_2022-03-22_final.stac-item
2022-04-03 10:14:16	ga_ls9c_ard_3-2-1_099080_2022-04-03_final.stac-item
2022-04-29 09:12:40	ga_ls9c_ard_3-2-1_089081_2022-04-28_final.stac-item
2022-04-30 09:56:19	ga_ls9c_ard_3-2-1_096082_2022-04-30_final.stac-item
2022-05-23 10:03:28	ga_ls9c_ard_3-2-1_097085_2022-05-23_final.stac-item
2022-06-09 09:05:52	ga_ls9c_ard_3-2-1_088080_2022-06-08_final.stac-item
2022-06-26 11:26:46	ga_ls9c_ard_3-2-1_111076_2022-06-26_final.stac-item
2022-07-23 11:09:05	ga_ls9c_ard_3-2-1_108078_2022-07-23_final.stac-item
2022-08-08 09:34:47	ga_ls9c_ard_3-2-1_092089_2022-08-08_final.stac-item
2022-08-25 10:15:21	ga_ls9c_ard_3-2-1_099082_2022-08-25_final.stac-item
2022-08-25 11:52:14	ga_ls9c_ard_3-2-1_115077_2022-08-25_final.stac-item
2022-09-20 10:48:08	ga_ls9c_ard_3-2-1_105071_2022-09-20_final.stac-item
2022-09-25 09:29:01	ga_ls9c_ard_3-2-1_092074_2022-09-24_final.stac-item
2022-10-05 10:07:17	ga_ls9c_ard_3-2-1_098077_2022-10-05_final.stac-item
2022-10-12 11:53:13	ga_ls9c_ard_3-2-1_115079_2022-10-12_final.stac-item
2022-10-15 09:07:10	ga_ls9c_ard_3-2-1_088081_2022-10-14_final.stac-item
2022-10-18 09:40:53	ga_ls9c_ard_3-2-1_093088_2022-10-18_final.stac-item
2022-10-21 10:03:48	ga_ls9c_ard_3-2-1_098068_2022-10-21_final.stac-item
2022-10-22 10:48:16	ga_ls9c_ard_3-2-1_105071_2022-10-22_final.stac-item
2022-10-28 10:09:59	ga_ls9c_ard_3-2-1_099068_2022-10-28_final.stac-item
2022-11-10 11:21:10	ga_ls9c_ard_3-2-1_110076_2022-11-10_final.stac-item
2022-11-20 10:21:46	ga_ls9c_ard_3-2-1_100082_2022-11-20_final.stac-item
2022-12-01 10:01:58	ga_ls9c_ard_3-2-1_097079_2022-12-01_final.stac-item
2022-12-02 10:40:50	ga_ls9c_ard_3-2-1_104068_2022-12-02_final.stac-item
2022-12-08 10:03:24	ga_ls9c_ard_3-2-1_098067_2022-12-08_final.stac-item
2022-12-08 10:03:48	ga_ls9c_ard_3-2-1_098068_2022-12-08_final.stac-item
2022-12-21 11:15:20	ga_ls9c_ard_3-2-1_109077_2022-12-21_final.stac-item
2022-12-31 10:12:46	ga_ls9c_ard_3-2-1_099075_2022-12-31_final.stac-item
2023-01-08 09:28:55	ga_ls9c_ard_3-2-1_091089_2023-01-07_final.stac-item
2023-01-11 09:57:24	ga_ls9c_ard_3-2-1_096083_2023-01-11_final.stac-item
2023-01-22 09:40:20	ga_ls9c_ard_3-2-1_093087_2023-01-22_final.stac-item
2023-02-09 11:02:40	ga_ls9c_ard_3-2-1_107076_2023-02-09_final.stac-item
2023-02-19 11:38:02	ga_ls9c_ard_3-2-1_113072_2023-02-19_final.stac-item
2023-03-04 09:28:06	ga_ls9c_ard_3-2-1_092072_2023-03-03_final.stac-item
2023-03-12 10:20:38	ga_ls9c_ard_3-2-1_100080_2023-03-12_final.stac-item
2023-03-21 11:52:55	ga_ls9c_ard_3-2-1_115079_2023-03-21_final.stac-item
2023-04-19 09:44:04	ga_ls9c_ard_3-2-1_094082_2023-04-19_final.stac-item
2023-04-22 11:51:03	ga_ls9c_ard_3-2-1_115075_2023-04-22_final.stac-item
2023-04-23 10:55:01	ga_ls9c_ard_3-2-1_106074_2023-04-23_final.stac-item
2023-05-09 10:54:50	ga_ls9c_ard_3-2-1_106074_2023-05-09_final.stac-item
2023-05-18 09:10:54	ga_ls9c_ard_3-2-1_089077_2023-05-17_final.stac-item
2023-05-24 10:13:48	ga_ls9c_ard_3-2-1_099080_2023-05-24_final.stac-item
2023-06-17 09:21:48	ga_ls9c_ard_3-2-1_091074_2023-06-16_final.stac-item
2023-06-22 09:40:21	ga_ls9c_ard_3-2-1_094074_2023-06-22_final.stac-item
2023-06-23 10:24:00	ga_ls9c_ard_3-2-1_101075_2023-06-23_final.stac-item
2023-07-03 10:59:40	ga_ls9c_ard_3-2-1_107071_2023-07-03_final.stac-item
2023-07-03 11:00:04	ga_ls9c_ard_3-2-1_107072_2023-07-03_final.stac-item
2023-07-08 09:45:22	ga_ls9c_ard_3-2-1_094086_2023-07-08_final.stac-item
2023-07-13 10:00:45	ga_ls9c_ard_3-2-1_097078_2023-07-13_final.stac-item
2023-07-14 09:07:08	ga_ls9c_ard_3-2-1_088083_2023-07-13_final.stac-item
2023-07-27 11:51:37	ga_ls9c_ard_3-2-1_115077_2023-07-27_final.stac-item
2023-07-28 10:54:49	ga_ls9c_ard_3-2-1_106074_2023-07-28_final.stac-item
2023-08-02 09:33:45	ga_ls9c_ard_3-2-1_093072_2023-08-02_final.stac-item
2023-08-30 10:01:53	ga_ls9c_ard_3-2-1_097080_2023-08-30_final.stac-item
2023-09-07 09:12:55	ga_ls9c_ard_3-2-1_089081_2023-09-06_final.stac-item
2023-09-21 09:21:45	ga_ls9c_ard_3-2-1_091072_2023-09-20_final.stac-item
2023-09-21 09:22:33	ga_ls9c_ard_3-2-1_091074_2023-09-20_final.stac-item
2023-09-26 09:44:14	ga_ls9c_ard_3-2-1_094082_2023-09-26_final.stac-item
2023-10-01 10:00:49	ga_ls9c_ard_3-2-1_097077_2023-10-01_final.stac-item
2023-10-01 10:02:24	ga_ls9c_ard_3-2-1_097081_2023-10-01_final.stac-item
2023-10-25 09:13:09	ga_ls9c_ard_3-2-1_089081_2023-10-24_final.stac-item
2023-10-27 10:34:28	ga_ls9c_ard_3-2-1_103068_2023-10-27_final.stac-item
2023-11-04 09:51:43	ga_ls9c_ard_3-2-1_095085_2023-11-04_final.stac-item
2023-11-06 11:13:29	ga_ls9c_ard_3-2-1_109073_2023-11-06_final.stac-item
2023-11-30 10:27:23	ga_ls9c_ard_3-2-1_101081_2023-11-30_final.stac-item
2023-12-13 09:55:40	ga_ls9c_ard_3-2-1_096079_2023-12-13_final.stac-item
2023-12-25 10:21:14	ga_ls9c_ard_3-2-1_100081_2023-12-25_final.stac-item
2024-01-19 10:12:59	ga_ls9c_ard_3-2-1_099076_2024-01-19_final.stac-item
2024-01-27 11:05:36	ga_ls9c_ard_3-2-1_107084_2024-01-27_final.stac-item
2024-02-04 11:52:19	ga_ls9c_ard_3-2-1_115077_2024-02-04_final.stac-item
2024-02-07 10:43:08	ga_ls9c_ard_3-2-1_104074_2024-02-07_final.stac-item
2024-02-10 09:39:32	ga_ls9c_ard_3-2-1_093085_2024-02-10_final.stac-item
2024-02-28 09:26:36	ga_ls9c_ard_3-2-1_091084_2024-02-27_final.stac-item
2024-03-08 09:18:29	ga_ls9c_ard_3-2-1_090079_2024-03-07_final.stac-item
2024-03-16 10:10:17	ga_ls9c_ard_3-2-1_098085_2024-03-16_final.stac-item
2024-03-20 11:20:51	ga_ls9c_ard_3-2-1_110076_2024-03-20_final.stac-item
2024-03-30 10:18:07	ga_ls9c_ard_3-2-1_100074_2024-03-30_final.stac-item
2024-05-02 09:24:52	ga_ls9c_ard_3-2-1_091081_2024-05-01_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years