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
2002-10-25 09:40:11	ga_ls7e_ard_3-0-0_095087_2002-10-25_final
2003-01-13 09:40:48	ga_ls7e_ard_3-0-0_095087_2003-01-13_final
2010-12-18 09:45:26	ga_ls7e_ard_3-0-0_095087_2010-12-18_final
2021-02-10 08:47:52	ga_ls7e_ard_3-2-0_092083_2021-02-09_final
2021-02-11 11:07:56	ga_ls7e_ard_3-2-0_115078_2021-02-11_final
2021-02-27 09:27:26	ga_ls7e_ard_3-2-0_099077_2021-02-26_final
2021-03-05 08:49:54	ga_ls7e_ard_3-2-0_093077_2021-03-04_final
2021-03-06 09:34:40	ga_ls7e_ard_3-2-0_100081_2021-03-06_final
2021-03-08 09:23:45	ga_ls7e_ard_3-2-0_098085_2021-03-07_final
2021-03-27 09:46:45	ga_ls7e_ard_3-2-0_103069_2021-03-27_final
2021-04-03 09:56:45	ga_ls7e_ard_3-2-0_104080_2021-04-03_final
2021-04-08 08:34:24	ga_ls7e_ard_3-2-0_091076_2021-04-07_final
2021-04-09 10:52:52	ga_ls7e_ard_3-2-0_114067_2021-04-09_final
2021-04-09 10:58:03	ga_ls7e_ard_3-2-0_114080_2021-04-09_final
2021-04-15 08:42:23	ga_ls7e_ard_3-2-0_092082_2021-04-14_final
2021-04-15 08:42:47	ga_ls7e_ard_3-2-0_092083_2021-04-14_final
2021-04-16 09:19:35	ga_ls7e_ard_3-2-0_099067_2021-04-15_final
2021-04-20 09:01:42	ga_ls7e_ard_3-2-0_095085_2021-04-19_final
2021-04-21 09:40:29	ga_ls7e_ard_3-2-0_102074_2021-04-21_final
2021-04-24 10:14:19	ga_ls7e_ard_3-2-0_107082_2021-04-24_final
2021-04-29 08:49:58	ga_ls7e_ard_3-2-0_094073_2021-04-28_final
2021-05-05 09:54:04	ga_ls7e_ard_3-2-0_104080_2021-05-05_final
2021-05-07 09:41:56	ga_ls7e_ard_3-2-0_102081_2021-05-07_final
2021-05-08 10:22:19	ga_ls7e_ard_3-2-0_109074_2021-05-08_final
2021-05-18 09:20:52	ga_ls7e_ard_3-2-0_099077_2021-05-17_final
2021-05-25 09:27:15	ga_ls7e_ard_3-2-0_100079_2021-05-24_final
2021-05-31 10:23:45	ga_ls7e_ard_3-2-0_110067_2021-05-31_final
2021-06-03 09:20:42	ga_ls7e_ard_3-2-0_099080_2021-06-02_final
2021-06-08 09:39:14	ga_ls7e_ard_3-2-0_102081_2021-06-08_final
2021-06-30 09:00:21	ga_ls7e_ard_3-2-0_096081_2021-06-29_final
2021-07-01 09:43:31	ga_ls7e_ard_3-2-0_103081_2021-07-01_final
2021-07-17 09:42:10	ga_ls7e_ard_3-2-0_103081_2021-07-17_final
2021-07-18 08:48:27	ga_ls7e_ard_3-2-0_094086_2021-07-17_final
2021-07-23 09:05:22	ga_ls7e_ard_3-2-0_097083_2021-07-22_final
2021-07-30 09:11:44	ga_ls7e_ard_3-2-0_098085_2021-07-29_final
2021-08-07 08:22:47	ga_ls7e_ard_3-2-0_090088_2021-08-06_final
2021-08-17 10:33:51	ga_ls7e_ard_3-2-0_112078_2021-08-17_final
2021-08-23 09:57:51	ga_ls7e_ard_3-2-0_106082_2021-08-23_final
2021-08-31 09:06:08	ga_ls7e_ard_3-2-0_098078_2021-08-30_final
2021-08-31 09:08:56	ga_ls7e_ard_3-2-0_098085_2021-08-30_final
2021-09-02 08:50:24	ga_ls7e_ard_3-2-0_096070_2021-09-01_final
2021-09-02 08:56:48	ga_ls7e_ard_3-2-0_096086_2021-09-01_final
2021-09-03 09:37:10	ga_ls7e_ard_3-2-0_103079_2021-09-03_final
2021-09-18 08:49:00	ga_ls7e_ard_3-2-0_096070_2021-09-17_final
2021-09-19 09:36:09	ga_ls7e_ard_3-2-0_103080_2021-09-19_final
2021-09-20 10:14:08	ga_ls7e_ard_3-2-0_110067_2021-09-20_final
2021-09-28 09:29:34	ga_ls7e_ard_3-2-0_102081_2021-09-27_final
2021-10-15 10:09:20	ga_ls7e_ard_3-2-0_109076_2021-10-15_final
2021-10-17 08:23:06	ga_ls7e_ard_3-2-0_091089_2021-10-16_final
2021-10-24 10:01:56	ga_ls7e_ard_3-2-0_108075_2021-10-24_final
2021-10-25 10:46:18	ga_ls7e_ard_3-2-0_115078_2021-10-25_final
2021-10-26 08:11:43	ga_ls7e_ard_3-2-0_090078_2021-10-25_final
2021-10-27 08:57:41	ga_ls7e_ard_3-2-0_097085_2021-10-26_final
2021-10-29 10:18:49	ga_ls7e_ard_3-2-0_111072_2021-10-29_final
2021-10-30 09:23:30	ga_ls7e_ard_3-2-0_102073_2021-10-29_final
2021-11-02 08:16:51	ga_ls7e_ard_3-2-0_091077_2021-11-01_final
2021-11-02 08:21:14	ga_ls7e_ard_3-2-0_091088_2021-11-01_final
2021-11-04 09:45:10	ga_ls7e_ard_3-2-0_105082_2021-11-04_final
2021-11-05 10:25:32	ga_ls7e_ard_3-2-0_112075_2021-11-05_final
2021-11-11 08:13:00	ga_ls7e_ard_3-2-0_090085_2021-11-10_final
2021-11-19 08:59:16	ga_ls7e_ard_3-2-1_098079_2021-11-18_final
2021-11-20 08:03:09	ga_ls7e_ard_3-2-1_089078_2021-11-19_final
2021-11-20 09:38:26	ga_ls7e_ard_3-2-1_105069_2021-11-20_final
2021-11-21 08:43:31	ga_ls7e_ard_3-2-1_096071_2021-11-20_final
2021-11-21 08:49:30	ga_ls7e_ard_3-2-1_096086_2021-11-20_final
2021-11-23 08:32:09	ga_ls7e_ard_3-2-1_094074_2021-11-22_final
2021-12-03 09:09:54	ga_ls7e_ard_3-2-1_100078_2021-12-02_final
2021-12-04 08:15:47	ga_ls7e_ard_3-2-1_091082_2021-12-03_final
2021-12-09 10:09:56	ga_ls7e_ard_3-2-1_110075_2021-12-09_final
2021-12-11 08:19:42	ga_ls7e_ard_3-2-1_092078_2021-12-10_final
2021-12-11 09:55:23	ga_ls7e_ard_3-2-1_108070_2021-12-11_final
2021-12-19 09:06:22	ga_ls7e_ard_3-2-1_100073_2021-12-18_final
2021-12-19 09:10:46	ga_ls7e_ard_3-2-1_100084_2021-12-18_final
2021-12-21 08:53:01	ga_ls7e_ard_3-2-1_098071_2021-12-20_final
2022-01-03 08:22:01	ga_ls7e_ard_3-2-1_093074_2022-01-02_final
2022-01-04 09:03:58	ga_ls7e_ard_3-2-1_100071_2022-01-03_final
2022-01-05 09:49:55	ga_ls7e_ard_3-2-1_107078_2022-01-05_final
2022-01-06 08:55:48	ga_ls7e_ard_3-2-1_098082_2022-01-05_final
2022-01-07 09:33:23	ga_ls7e_ard_3-2-1_105068_2022-01-07_final
2022-01-07 09:33:47	ga_ls7e_ard_3-2-1_105069_2022-01-07_final
2022-01-17 10:11:07	ga_ls7e_ard_3-2-1_111072_2022-01-17_final
2022-01-17 10:14:19	ga_ls7e_ard_3-2-1_111080_2022-01-17_final
2022-01-19 10:00:34	ga_ls7e_ard_3-2-1_109077_2022-01-19_final
2022-01-23 09:31:52	ga_ls7e_ard_3-2-1_105068_2022-01-23_final
2022-01-24 08:40:33	ga_ls7e_ard_3-2-1_096079_2022-01-23_final
2022-01-25 09:20:07	ga_ls7e_ard_3-2-1_103070_2022-01-24_final
2022-01-30 08:04:52	ga_ls7e_ard_3-2-1_090084_2022-01-29_final
2022-01-30 09:43:21	ga_ls7e_ard_3-2-1_106083_2022-01-30_final
2022-01-31 10:23:19	ga_ls7e_ard_3-2-1_113075_2022-01-31_final
2022-02-04 09:58:11	ga_ls7e_ard_3-2-1_109075_2022-02-04_final
2022-02-15 08:04:01	ga_ls7e_ard_3-2-1_090086_2022-02-14_final
2022-02-15 08:04:49	ga_ls7e_ard_3-2-1_090088_2022-02-14_final
2022-02-19 09:11:01	ga_ls7e_ard_3-2-1_102069_2022-02-18_final
2022-02-21 09:00:04	ga_ls7e_ard_3-2-1_100073_2022-02-20_final
2022-02-23 08:52:18	ga_ls7e_ard_3-2-1_098085_2022-02-22_final
2022-03-02 08:57:24	ga_ls7e_ard_3-2-1_099084_2022-03-01_final
2022-03-08 08:20:56	ga_ls7e_ard_3-2-1_093087_2022-03-07_final
2022-03-20 08:43:39	ga_ls7e_ard_3-2-1_097085_2022-03-19_final
2022-03-20 10:21:44	ga_ls7e_ard_3-2-1_113083_2022-03-20_final
2022-03-28 07:52:40	ga_ls7e_ard_3-2-1_089083_2022-03-27_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