Search ga_ls7e_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
2021-01-30 10:43:42	ga_ls7e_ard_3-2-0_111077_2021-01-30_final
2021-04-26 08:23:43	ga_ls7e_ard_3-2-0_089084_2021-04-25_final
2021-04-29 08:53:09	ga_ls7e_ard_3-2-0_094081_2021-04-28_final
2021-05-01 10:16:43	ga_ls7e_ard_3-2-0_108074_2021-05-01_final
2021-05-17 10:19:22	ga_ls7e_ard_3-2-0_108084_2021-05-17_final
2021-05-20 10:48:01	ga_ls7e_ard_3-2-0_113079_2021-05-20_final
2021-05-28 08:18:13	ga_ls7e_ard_3-2-0_089077_2021-05-27_final
2021-05-28 09:55:30	ga_ls7e_ard_3-2-0_105073_2021-05-28_final
2021-06-02 10:12:24	ga_ls7e_ard_3-2-0_108070_2021-06-02_final
2021-06-03 09:19:30	ga_ls7e_ard_3-2-0_099077_2021-06-02_final
2021-06-04 08:25:48	ga_ls7e_ard_3-2-0_090082_2021-06-03_final
2021-06-09 08:43:08	ga_ls7e_ard_3-2-0_093080_2021-06-08_final
2021-06-16 08:49:33	ga_ls7e_ard_3-2-0_094082_2021-06-15_final
2021-06-18 08:36:13	ga_ls7e_ard_3-2-0_092080_2021-06-17_final
2021-06-18 10:11:07	ga_ls7e_ard_3-2-0_108070_2021-06-18_final
2021-06-21 10:44:33	ga_ls7e_ard_3-2-0_113077_2021-06-21_final
2021-06-25 08:41:50	ga_ls7e_ard_3-2-0_093080_2021-06-24_final
2021-06-25 10:21:30	ga_ls7e_ard_3-2-0_109082_2021-06-25_final
2021-06-26 09:24:36	ga_ls7e_ard_3-2-0_100079_2021-06-25_final
2021-06-27 08:28:06	ga_ls7e_ard_3-2-0_091077_2021-06-26_final
2021-06-29 09:51:40	ga_ls7e_ard_3-2-0_105070_2021-06-29_final
2021-07-13 10:08:25	ga_ls7e_ard_3-2-0_107084_2021-07-13_final
2021-07-25 08:52:02	ga_ls7e_ard_3-2-0_095081_2021-07-24_final
2021-07-26 09:30:49	ga_ls7e_ard_3-2-0_102070_2021-07-26_final
2021-07-31 08:14:02	ga_ls7e_ard_3-2-0_089080_2021-07-30_final
2021-08-02 09:35:59	ga_ls7e_ard_3-2-0_103069_2021-08-02_final
2021-08-06 09:14:30	ga_ls7e_ard_3-2-0_099078_2021-08-05_final
2021-08-08 10:36:27	ga_ls7e_ard_3-2-0_113067_2021-08-08_final
2021-08-12 08:37:41	ga_ls7e_ard_3-2-0_093080_2021-08-11_final
2021-08-13 09:20:03	ga_ls7e_ard_3-2-0_100078_2021-08-12_final
2021-08-16 08:14:36	ga_ls7e_ard_3-2-0_089085_2021-08-15_final
2021-08-22 10:50:46	ga_ls7e_ard_3-2-0_115075_2021-08-22_final
2021-08-24 10:41:26	ga_ls7e_ard_3-2-0_113083_2021-08-24_final
2021-08-27 09:28:00	ga_ls7e_ard_3-2-0_102070_2021-08-26_final
2021-08-30 08:23:22	ga_ls7e_ard_3-2-0_091079_2021-08-29_final
2021-09-01 08:11:14	ga_ls7e_ard_3-2-0_089080_2021-08-31_final
2021-09-02 08:56:48	ga_ls7e_ard_3-2-0_096086_2021-09-01_final
2021-09-02 10:34:28	ga_ls7e_ard_3-2-0_112083_2021-09-02_final
2021-09-05 09:23:26	ga_ls7e_ard_3-2-0_101076_2021-09-04_final
2021-09-07 09:07:19	ga_ls7e_ard_3-2-0_099067_2021-09-06_final
2021-09-17 08:09:49	ga_ls7e_ard_3-2-0_089080_2021-09-16_final
2021-09-18 08:54:35	ga_ls7e_ard_3-2-0_096084_2021-09-17_final
2021-09-23 09:10:41	ga_ls7e_ard_3-2-0_099079_2021-09-22_final
2021-09-25 10:38:37	ga_ls7e_ard_3-2-0_113083_2021-09-25_final
2021-09-29 08:31:27	ga_ls7e_ard_3-2-0_093075_2021-09-28_final
2021-09-29 10:13:32	ga_ls7e_ard_3-2-0_109083_2021-09-29_final
2021-09-30 09:17:01	ga_ls7e_ard_3-2-0_100081_2021-09-29_final
2021-10-02 09:06:05	ga_ls7e_ard_3-2-0_098085_2021-10-01_final
2021-10-03 09:48:04	ga_ls7e_ard_3-2-0_105082_2021-10-03_final
2021-10-05 09:31:08	ga_ls7e_ard_3-2-0_103071_2021-10-05_final
2021-10-10 08:13:33	ga_ls7e_ard_3-2-0_090079_2021-10-09_final
2021-10-11 08:53:32	ga_ls7e_ard_3-2-0_097071_2021-10-10_final
2021-10-13 10:24:40	ga_ls7e_ard_3-2-0_111083_2021-10-13_final
2021-10-25 09:09:01	ga_ls7e_ard_3-2-0_099082_2021-10-24_final
2021-10-31 10:10:40	ga_ls7e_ard_3-2-0_109083_2021-10-31_final
2021-11-07 10:15:23	ga_ls7e_ard_3-2-0_110081_2021-11-07_final
2021-11-08 09:16:53	ga_ls7e_ard_3-2-0_101074_2021-11-07_final
2021-11-10 09:03:31	ga_ls7e_ard_3-2-0_099072_2021-11-09_final
2021-11-13 09:33:44	ga_ls7e_ard_3-2-1_104071_2021-11-13_final
2021-11-18 08:16:06	ga_ls7e_ard_3-2-1_091079_2021-11-17_final
2021-11-20 08:02:45	ga_ls7e_ard_3-2-1_089077_2021-11-19_final
2021-11-20 09:38:02	ga_ls7e_ard_3-2-1_105068_2021-11-20_final
2021-12-01 09:23:38	ga_ls7e_ard_3-2-1_102081_2021-11-30_final
2021-12-07 10:24:28	ga_ls7e_ard_3-2-1_112080_2021-12-07_final
2021-12-08 09:24:46	ga_ls7e_ard_3-2-1_103070_2021-12-07_final
2021-12-30 10:28:25	ga_ls7e_ard_3-2-1_113080_2021-12-30_final
2022-01-01 08:34:10	ga_ls7e_ard_3-2-1_095073_2021-12-31_final
2022-01-05 08:11:02	ga_ls7e_ard_3-2-1_091078_2022-01-04_final
2022-01-05 09:48:43	ga_ls7e_ard_3-2-1_107075_2022-01-05_final
2022-01-07 09:36:11	ga_ls7e_ard_3-2-1_105075_2022-01-07_final
2022-01-14 08:04:01	ga_ls7e_ard_3-2-1_090078_2022-01-13_final
2022-01-17 10:11:55	ga_ls7e_ard_3-2-1_111074_2022-01-17_final
2022-01-19 08:22:05	ga_ls7e_ard_3-2-1_093078_2022-01-18_final
2022-01-19 10:00:34	ga_ls7e_ard_3-2-1_109077_2022-01-19_final
2022-01-28 08:14:38	ga_ls7e_ard_3-2-1_092077_2022-01-27_final
2022-02-02 10:12:45	ga_ls7e_ard_3-2-1_111080_2022-02-02_final
2022-02-06 08:08:21	ga_ls7e_ard_3-2-1_091079_2022-02-05_final
2022-02-08 09:31:28	ga_ls7e_ard_3-2-1_105071_2022-02-08_final
2022-02-10 09:19:18	ga_ls7e_ard_3-2-1_103072_2022-02-09_final
2022-02-11 10:01:39	ga_ls7e_ard_3-2-1_110070_2022-02-11_final
2022-02-14 08:52:58	ga_ls7e_ard_3-2-1_099069_2022-02-13_final
2022-02-14 10:35:02	ga_ls7e_ard_3-2-1_115077_2022-02-14_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_final
2022-02-17 09:26:45	ga_ls7e_ard_3-2-1_104077_2022-02-16_final
2022-02-18 08:33:50	ga_ls7e_ard_3-2-1_095084_2022-02-17_final
2022-02-20 09:55:22	ga_ls7e_ard_3-2-1_109072_2022-02-20_final
2022-02-23 10:27:11	ga_ls7e_ard_3-2-1_114075_2022-02-23_final
2022-03-02 08:55:49	ga_ls7e_ard_3-2-1_099080_2022-03-01_final
2022-03-10 08:07:35	ga_ls7e_ard_3-2-1_091085_2022-03-09_final
2022-03-11 08:43:57	ga_ls7e_ard_3-2-1_098068_2022-03-10_final
2022-03-11 10:27:13	ga_ls7e_ard_3-2-1_114079_2022-03-11_final
2022-03-15 09:59:42	ga_ls7e_ard_3-2-1_110073_2022-03-15_final
2022-03-15 10:02:53	ga_ls7e_ard_3-2-1_110081_2022-03-15_final
2022-03-18 08:54:36	ga_ls7e_ard_3-2-1_099081_2022-03-17_final
2022-03-18 10:30:41	ga_ls7e_ard_3-2-1_115074_2022-03-18_final
2022-03-23 09:08:41	ga_ls7e_ard_3-2-1_102071_2022-03-22_final
2022-03-27 10:25:16	ga_ls7e_ard_3-2-1_114078_2022-03-27_final
2022-03-29 10:13:07	ga_ls7e_ard_3-2-1_112079_2022-03-29_final
2022-03-31 08:22:05	ga_ls7e_ard_3-2-1_094080_2022-03-30_final
2022-04-02 08:09:56	ga_ls7e_ard_3-2-1_092081_2022-04-01_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years