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
2002-09-23 09:39:46	ga_ls7e_ard_3-0-0_095086_2002-09-23_final
2007-11-08 09:42:02	ga_ls7e_ard_3-0-0_095086_2007-11-08_final
2008-07-21 09:41:43	ga_ls7e_ard_3-0-0_095087_2008-07-21_final
2010-07-27 09:44:37	ga_ls7e_ard_3-0-0_095087_2010-07-27_final
2013-01-24 09:48:11	ga_ls7e_ard_3-0-0_095086_2013-01-24_final
2018-02-07 09:53:35	ga_ls7e_ard_3-0-0_095086_2018-02-07_final
2020-06-04 09:24:42	ga_ls7e_ard_3-1-0_095087_2020-06-03_final
2021-02-07 09:54:52	ga_ls7e_ard_3-2-0_103080_2021-02-07_final
2021-02-09 09:41:10	ga_ls7e_ard_3-2-0_101077_2021-02-09_final
2021-02-10 08:47:04	ga_ls7e_ard_3-2-0_092081_2021-02-09_final
2021-02-13 09:17:45	ga_ls7e_ard_3-2-0_097081_2021-02-12_final
2021-02-26 08:45:51	ga_ls7e_ard_3-2-0_092081_2021-02-25_final
2021-02-27 11:05:55	ga_ls7e_ard_3-2-0_115076_2021-02-27_final
2021-03-05 08:52:41	ga_ls7e_ard_3-2-0_093084_2021-03-04_final
2021-03-08 11:00:14	ga_ls7e_ard_3-2-0_114079_2021-03-08_final
2021-03-15 11:03:52	ga_ls7e_ard_3-2-0_115074_2021-03-15_final
2021-03-17 10:53:45	ga_ls7e_ard_3-2-0_113080_2021-03-17_final
2021-03-21 10:29:54	ga_ls7e_ard_3-2-0_109083_2021-03-21_final
2021-03-26 10:47:38	ga_ls7e_ard_3-2-0_112082_2021-03-26_final
2021-03-31 11:03:46	ga_ls7e_ard_3-2-0_115077_2021-03-31_final
2021-04-02 10:52:27	ga_ls7e_ard_3-2-0_113080_2021-04-02_final
2021-04-08 10:10:53	ga_ls7e_ard_3-2-0_107070_2021-04-08_final
2021-04-09 09:18:46	ga_ls7e_ard_3-2-0_098079_2021-04-08_final
2021-04-10 10:02:45	ga_ls7e_ard_3-2-0_105081_2021-04-10_final
2021-04-24 08:34:15	ga_ls7e_ard_3-2-0_091079_2021-04-23_final
2021-04-24 10:09:56	ga_ls7e_ard_3-2-0_107071_2021-04-24_final
2021-04-30 09:35:08	ga_ls7e_ard_3-2-0_101078_2021-04-30_final
2021-05-03 10:03:00	ga_ls7e_ard_3-2-0_106071_2021-05-03_final
2021-05-05 09:49:16	ga_ls7e_ard_3-2-0_104068_2021-05-05_final
2021-05-06 08:59:09	ga_ls7e_ard_3-2-0_095082_2021-05-05_final
2021-05-07 09:37:57	ga_ls7e_ard_3-2-0_102071_2021-05-07_final
2021-05-12 10:00:27	ga_ls7e_ard_3-2-0_105082_2021-05-12_final
2021-05-17 08:37:18	ga_ls7e_ard_3-2-0_092076_2021-05-16_final
2021-05-20 09:09:08	ga_ls7e_ard_3-2-0_097079_2021-05-19_final
2021-05-20 10:48:25	ga_ls7e_ard_3-2-0_113080_2021-05-20_final
2021-05-24 08:46:04	ga_ls7e_ard_3-2-0_093084_2021-05-23_final
2021-05-27 09:11:08	ga_ls7e_ard_3-2-0_098070_2021-05-26_final
2021-06-18 10:15:54	ga_ls7e_ard_3-2-0_108082_2021-06-18_final
2021-06-23 10:33:14	ga_ls7e_ard_3-2-0_111080_2021-06-23_final
2021-06-25 08:39:26	ga_ls7e_ard_3-2-0_093074_2021-06-24_final
2021-07-02 10:22:42	ga_ls7e_ard_3-2-0_110071_2021-07-02_final
2021-07-04 08:35:41	ga_ls7e_ard_3-2-0_092082_2021-07-03_final
2021-07-06 08:22:22	ga_ls7e_ard_3-2-0_090080_2021-07-05_final
2021-07-11 08:42:04	ga_ls7e_ard_3-2-0_093084_2021-07-10_final
2021-07-11 10:15:46	ga_ls7e_ard_3-2-0_109071_2021-07-11_final
2021-07-24 09:43:21	ga_ls7e_ard_3-2-0_104070_2021-07-24_final
2021-07-25 10:30:55	ga_ls7e_ard_3-2-0_111081_2021-07-25_final
2021-07-26 09:35:36	ga_ls7e_ard_3-2-0_102082_2021-07-26_final
2021-07-31 08:13:14	ga_ls7e_ard_3-2-0_089078_2021-07-30_final
2021-08-12 08:39:17	ga_ls7e_ard_3-2-0_093084_2021-08-11_final
2021-08-14 08:25:56	ga_ls7e_ard_3-2-0_091082_2021-08-13_final
2021-08-24 09:00:33	ga_ls7e_ard_3-2-0_097078_2021-08-23_final
2021-09-06 10:06:37	ga_ls7e_ard_3-2-0_108076_2021-09-06_final
2021-09-09 08:59:10	ga_ls7e_ard_3-2-0_097078_2021-09-08_final
2021-09-12 09:27:00	ga_ls7e_ard_3-2-0_102071_2021-09-11_final
2021-09-14 09:17:40	ga_ls7e_ard_3-2-0_100079_2021-09-13_final
2021-09-16 10:42:24	ga_ls7e_ard_3-2-0_114075_2021-09-16_final
2021-09-20 08:38:03	ga_ls7e_ard_3-2-0_094074_2021-09-19_final
2021-09-28 09:24:46	ga_ls7e_ard_3-2-0_102069_2021-09-27_final
2021-10-02 10:40:59	ga_ls7e_ard_3-2-0_114075_2021-10-02_final
2021-10-03 08:08:47	ga_ls7e_ard_3-2-0_089081_2021-10-02_final
2021-10-06 10:16:42	ga_ls7e_ard_3-2-0_110077_2021-10-06_final
2021-10-09 09:10:28	ga_ls7e_ard_3-2-0_099082_2021-10-08_final
2021-10-17 08:20:43	ga_ls7e_ard_3-2-0_091083_2021-10-16_final
2021-10-18 09:02:17	ga_ls7e_ard_3-2-0_098079_2021-10-17_final
2021-10-18 10:40:22	ga_ls7e_ard_3-2-0_114077_2021-10-18_final
2021-10-22 10:17:16	ga_ls7e_ard_3-2-0_110082_2021-10-22_final
2021-10-28 09:34:51	ga_ls7e_ard_3-2-0_104070_2021-10-28_final
2021-10-31 10:05:53	ga_ls7e_ard_3-2-0_109071_2021-10-31_final
2021-11-01 09:11:22	ga_ls7e_ard_3-2-0_100074_2021-10-31_final
2021-11-03 09:01:36	ga_ls7e_ard_3-2-0_098081_2021-11-02_final
2021-11-15 09:20:23	ga_ls7e_ard_3-2-1_102069_2021-11-14_final
2021-11-23 08:34:33	ga_ls7e_ard_3-2-1_094080_2021-11-22_final
2021-11-25 10:01:40	ga_ls7e_ard_3-2-1_108082_2021-11-25_final
2021-12-02 08:27:08	ga_ls7e_ard_3-2-1_093079_2021-12-01_final
2021-12-16 08:36:10	ga_ls7e_ard_3-2-1_095074_2021-12-15_final
2021-12-18 10:05:41	ga_ls7e_ard_3-2-1_109082_2021-12-18_final
2021-12-22 09:36:35	ga_ls7e_ard_3-2-1_105072_2021-12-22_final
2022-01-06 08:54:36	ga_ls7e_ard_3-2-1_098079_2022-01-05_final
2022-01-17 10:15:55	ga_ls7e_ard_3-2-1_111084_2022-01-17_final
2022-01-21 08:10:44	ga_ls7e_ard_3-2-1_091081_2022-01-20_final
2022-01-21 08:12:44	ga_ls7e_ard_3-2-1_091086_2022-01-20_final
2022-01-23 09:36:39	ga_ls7e_ard_3-2-1_105080_2022-01-23_final
2022-01-24 10:20:37	ga_ls7e_ard_3-2-1_112082_2022-01-24_final
2022-01-31 10:23:19	ga_ls7e_ard_3-2-1_113075_2022-01-31_final
2022-02-08 09:31:28	ga_ls7e_ard_3-2-1_105071_2022-02-08_final
2022-02-16 08:42:23	ga_ls7e_ard_3-2-1_097074_2022-02-15_final
2022-02-17 09:27:09	ga_ls7e_ard_3-2-1_104078_2022-02-16_final
2022-02-22 09:46:49	ga_ls7e_ard_3-2-1_107082_2022-02-22_final
2022-03-03 08:00:06	ga_ls7e_ard_3-2-1_090080_2022-03-02_final
2022-03-03 09:36:11	ga_ls7e_ard_3-2-1_106073_2022-03-03_final
2022-03-06 08:28:18	ga_ls7e_ard_3-2-1_095074_2022-03-05_final
2022-03-06 08:31:30	ga_ls7e_ard_3-2-1_095082_2022-03-05_final
2022-03-10 09:40:28	ga_ls7e_ard_3-2-1_107070_2022-03-10_final
2022-03-11 10:25:13	ga_ls7e_ard_3-2-1_114074_2022-03-11_final
2022-03-20 08:40:52	ga_ls7e_ard_3-2-1_097078_2022-03-19_final
2022-03-24 08:18:58	ga_ls7e_ard_3-2-1_093086_2022-03-23_final
2022-03-24 09:52:15	ga_ls7e_ard_3-2-1_109072_2022-03-24_final
2022-04-04 07:56:10	ga_ls7e_ard_3-2-1_090078_2022-04-03_final
2022-04-04 07:57:46	ga_ls7e_ard_3-2-1_090082_2022-04-03_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