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

90 results

Time (local)	Label
2021-11-02 10:55:39	ga_ls9c_ard_3-2-1_106080_2021-11-02_final.stac-item
2021-12-04 11:05:46	ga_ls9c_ard_3-2-1_107084_2021-12-04_final.stac-item
2021-12-07 11:36:14	ga_ls9c_ard_3-2-1_112083_2021-12-07_final.stac-item
2021-12-16 11:24:46	ga_ls9c_ard_3-2-1_111070_2021-12-16_final.stac-item
2022-01-05 09:27:09	ga_ls9c_ard_3-2-1_091085_2022-01-04_final.stac-item
2022-01-07 10:52:04	ga_ls9c_ard_3-2-1_105081_2022-01-07_final.stac-item
2022-02-18 11:26:15	ga_ls9c_ard_3-2-1_111074_2022-02-18_final.stac-item
2022-02-27 09:39:53	ga_ls9c_ard_3-2-1_094071_2022-02-27_final.stac-item
2022-03-31 09:40:10	ga_ls9c_ard_3-2-1_094072_2022-03-31_final.stac-item
2022-04-13 09:13:35	ga_ls9c_ard_3-2-1_089083_2022-04-12_final.stac-item
2022-04-16 11:18:09	ga_ls9c_ard_3-2-1_110070_2022-04-16_final.stac-item
2022-04-29 10:48:45	ga_ls9c_ard_3-2-1_105074_2022-04-29_final.stac-item
2022-06-02 10:35:46	ga_ls9c_ard_3-2-1_103073_2022-06-02_final.stac-item
2022-06-05 09:27:24	ga_ls9c_ard_3-2-1_092072_2022-06-04_final.stac-item
2022-06-10 09:50:20	ga_ls9c_ard_3-2-1_095083_2022-06-10_final.stac-item
2022-07-01 10:07:13	ga_ls9c_ard_3-2-1_098078_2022-07-01_final.stac-item
2022-07-02 10:52:28	ga_ls9c_ard_3-2-1_105083_2022-07-02_final.stac-item
2022-07-19 11:31:44	ga_ls9c_ard_3-2-1_112073_2022-07-19_final.stac-item
2022-08-03 10:49:05	ga_ls9c_ard_3-2-1_105074_2022-08-03_final.stac-item
2022-08-18 10:09:33	ga_ls9c_ard_3-2-1_098083_2022-08-18_final.stac-item
2022-09-12 09:57:26	ga_ls9c_ard_3-2-1_097068_2022-09-12_final.stac-item
2022-10-09 09:41:00	ga_ls9c_ard_3-2-1_094073_2022-10-09_final.stac-item
2022-11-10 09:40:17	ga_ls9c_ard_3-2-1_094071_2022-11-10_final.stac-item
2022-11-10 11:24:21	ga_ls9c_ard_3-2-1_110084_2022-11-10_final.stac-item
2022-11-17 11:25:22	ga_ls9c_ard_3-2-1_111071_2022-11-17_final.stac-item
2022-11-18 10:33:44	ga_ls9c_ard_3-2-1_102081_2022-11-18_final.stac-item
2022-11-23 09:16:58	ga_ls9c_ard_3-2-1_089090_2022-11-22_final.stac-item
2022-11-30 10:56:00	ga_ls9c_ard_3-2-1_106075_2022-11-30_final.stac-item
2022-12-04 10:33:41	ga_ls9c_ard_3-2-1_102081_2022-12-04_final.stac-item
2022-12-11 10:39:29	ga_ls9c_ard_3-2-1_103080_2022-12-11_final.stac-item
2022-12-12 11:18:46	ga_ls9c_ard_3-2-1_110070_2022-12-12_final.stac-item
2023-01-02 11:38:06	ga_ls9c_ard_3-2-1_113072_2023-01-02_final.stac-item
2023-01-11 11:36:41	ga_ls9c_ard_3-2-1_112084_2023-01-11_final.stac-item
2023-01-26 09:10:54	ga_ls9c_ard_3-2-1_089075_2023-01-25_final.stac-item
2023-02-06 10:33:46	ga_ls9c_ard_3-2-1_102081_2023-02-06_final.stac-item
2023-02-10 10:04:15	ga_ls9c_ard_3-2-1_098069_2023-02-10_final.stac-item
2023-02-27 10:52:04	ga_ls9c_ard_3-2-1_105081_2023-02-27_final.stac-item
2023-03-16 11:32:01	ga_ls9c_ard_3-2-1_112073_2023-03-16_final.stac-item
2023-03-18 09:40:46	ga_ls9c_ard_3-2-1_094073_2023-03-18_final.stac-item
2023-04-08 09:57:06	ga_ls9c_ard_3-2-1_097068_2023-04-08_final.stac-item
2023-04-12 09:39:31	ga_ls9c_ard_3-2-1_093086_2023-04-12_final.stac-item
2023-04-19 11:24:09	ga_ls9c_ard_3-2-1_110085_2023-04-19_final.stac-item
2023-05-01 11:47:08	ga_ls9c_ard_3-2-1_114081_2023-05-01_final.stac-item
2023-05-04 10:39:05	ga_ls9c_ard_3-2-1_103081_2023-05-04_final.stac-item
2023-05-15 11:57:00	ga_ls9c_ard_3-2-1_116075_2023-05-15_final.stac-item
2023-05-15 11:57:24	ga_ls9c_ard_3-2-1_116076_2023-05-15_final.stac-item
2023-05-17 11:47:01	ga_ls9c_ard_3-2-1_114081_2023-05-17_final.stac-item
2023-05-20 10:39:23	ga_ls9c_ard_3-2-1_103082_2023-05-20_final.stac-item
2023-06-02 11:46:53	ga_ls9c_ard_3-2-1_114081_2023-06-02_final.stac-item
2023-06-16 11:57:06	ga_ls9c_ard_3-2-1_116076_2023-06-16_final.stac-item
2023-06-17 09:21:00	ga_ls9c_ard_3-2-1_091072_2023-06-16_final.stac-item
2023-06-27 09:56:31	ga_ls9c_ard_3-2-1_097068_2023-06-27_final.stac-item
2023-07-31 09:52:04	ga_ls9c_ard_3-2-1_095087_2023-07-31_final.stac-item
2023-08-15 10:42:12	ga_ls9c_ard_3-2-1_104073_2023-08-15_final.stac-item
2023-08-16 09:52:09	ga_ls9c_ard_3-2-1_095087_2023-08-16_final.stac-item
2023-08-16 11:23:51	ga_ls9c_ard_3-2-1_111069_2023-08-16_final.stac-item
2023-09-01 09:51:56	ga_ls9c_ard_3-2-1_095086_2023-09-01_final.stac-item
2023-09-21 11:05:25	ga_ls9c_ard_3-2-1_107084_2023-09-21_final.stac-item
2023-09-26 11:18:20	ga_ls9c_ard_3-2-1_110070_2023-09-26_final.stac-item
2023-10-09 10:49:09	ga_ls9c_ard_3-2-1_105074_2023-10-09_final.stac-item
2023-10-12 11:18:30	ga_ls9c_ard_3-2-1_110070_2023-10-12_final.stac-item
2023-10-14 09:33:40	ga_ls9c_ard_3-2-1_092086_2023-10-14_final.stac-item
2023-10-20 10:33:30	ga_ls9c_ard_3-2-1_102081_2023-10-20_final.stac-item
2023-10-24 10:09:34	ga_ls9c_ard_3-2-1_098083_2023-10-24_final.stac-item
2023-11-04 09:46:08	ga_ls9c_ard_3-2-1_095071_2023-11-04_final.stac-item
2023-11-10 10:51:59	ga_ls9c_ard_3-2-1_105081_2023-11-10_final.stac-item
2023-11-15 09:29:14	ga_ls9c_ard_3-2-1_092075_2023-11-14_final.stac-item
2023-11-27 09:52:54	ga_ls9c_ard_3-2-1_096072_2023-11-27_final.stac-item
2023-11-27 11:35:46	ga_ls9c_ard_3-2-1_112082_2023-11-27_final.stac-item
2023-11-29 09:40:32	ga_ls9c_ard_3-2-1_094072_2023-11-29_final.stac-item
2023-12-01 09:32:33	ga_ls9c_ard_3-2-1_092083_2023-12-01_final.stac-item
2023-12-11 10:07:36	ga_ls9c_ard_3-2-1_098078_2023-12-11_final.stac-item
2023-12-26 11:05:18	ga_ls9c_ard_3-2-1_107083_2023-12-26_final.stac-item
2023-12-29 11:35:47	ga_ls9c_ard_3-2-1_112082_2023-12-29_final.stac-item
2024-01-03 10:13:47	ga_ls9c_ard_3-2-1_099078_2024-01-03_final.stac-item
2024-01-04 10:55:26	ga_ls9c_ard_3-2-1_106074_2024-01-04_final.stac-item
2024-01-21 11:42:41	ga_ls9c_ard_3-2-1_113084_2024-01-21_final.stac-item
2024-01-29 10:50:04	ga_ls9c_ard_3-2-1_105076_2024-01-29_final.stac-item
2024-02-06 09:57:05	ga_ls9c_ard_3-2-1_097067_2024-02-06_final.stac-item
2024-02-19 09:29:14	ga_ls9c_ard_3-2-1_092075_2024-02-18_final.stac-item
2024-03-01 09:15:52	ga_ls9c_ard_3-2-1_089088_2024-02-29_final.stac-item
2024-03-04 11:24:04	ga_ls9c_ard_3-2-1_110084_2024-03-04_final.stac-item
2024-04-14 09:40:20	ga_ls9c_ard_3-2-1_093088_2024-04-14_final.stac-item
2024-04-19 09:52:23	ga_ls9c_ard_3-2-1_096072_2024-04-19_final.stac-item
2024-04-19 09:56:22	ga_ls9c_ard_3-2-1_096082_2024-04-19_final.stac-item
2024-04-25 12:30:54	ga_ls9c_ard_3-2-1_122067_2024-04-25_final.stac-item
2024-04-30 09:37:39	ga_ls9c_ard_3-2-1_093082_2024-04-30_final.stac-item
2024-05-05 11:31:04	ga_ls9c_ard_3-2-1_112072_2024-05-05_final.stac-item
2024-05-10 10:09:56	ga_ls9c_ard_3-2-1_099070_2024-05-10_final.stac-item
2024-05-20 09:15:58	ga_ls9c_ard_3-2-1_089090_2024-05-19_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