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
2020-06-13 10:54:53	ga_ls7e_ard_3-1-0_110082_2020-06-13_final
2020-06-15 10:38:49	ga_ls7e_ard_3-1-0_108073_2020-06-15_final
2020-06-15 10:39:13	ga_ls7e_ard_3-1-0_108074_2020-06-15_final
2020-06-15 10:40:01	ga_ls7e_ard_3-1-0_108076_2020-06-15_final
2020-06-15 10:41:13	ga_ls7e_ard_3-1-0_108079_2020-06-15_final
2020-06-15 10:42:49	ga_ls7e_ard_3-1-0_108083_2020-06-15_final
2020-06-16 11:22:49	ga_ls7e_ard_3-1-0_115075_2020-06-16_final
2020-06-16 11:24:01	ga_ls7e_ard_3-1-0_115078_2020-06-16_final
2020-06-17 10:25:57	ga_ls7e_ard_3-1-0_106072_2020-06-17_final
2020-06-17 10:26:45	ga_ls7e_ard_3-1-0_106074_2020-06-17_final
2020-06-17 10:28:20	ga_ls7e_ard_3-1-0_106078_2020-06-17_final
2020-06-17 10:29:56	ga_ls7e_ard_3-1-0_106082_2020-06-17_final
2020-06-18 11:11:32	ga_ls7e_ard_3-1-0_113078_2020-06-18_final
2020-06-18 11:13:56	ga_ls7e_ard_3-1-0_113084_2020-06-18_final
2020-06-20 10:57:52	ga_ls7e_ard_3-1-0_111075_2020-06-20_final
2020-06-20 11:00:16	ga_ls7e_ard_3-1-0_111081_2020-06-20_final
2020-06-22 10:43:24	ga_ls7e_ard_3-1-0_109070_2020-06-22_final
2020-06-22 10:44:11	ga_ls7e_ard_3-1-0_109072_2020-06-22_final
2020-06-22 10:44:35	ga_ls7e_ard_3-1-0_109073_2020-06-22_final
2020-06-22 10:45:47	ga_ls7e_ard_3-1-0_109076_2020-06-22_final
2020-06-22 10:47:47	ga_ls7e_ard_3-1-0_109081_2020-06-22_final
2020-06-24 10:31:19	ga_ls7e_ard_3-1-0_107071_2020-06-24_final
2020-06-24 10:32:31	ga_ls7e_ard_3-1-0_107074_2020-06-24_final
2020-06-25 11:16:54	ga_ls7e_ard_3-1-0_114077_2020-06-25_final
2020-06-27 11:05:14	ga_ls7e_ard_3-1-0_112079_2020-06-27_final
2020-06-29 10:51:57	ga_ls7e_ard_3-1-0_110077_2020-06-29_final
2020-06-29 10:52:21	ga_ls7e_ard_3-1-0_110078_2020-06-29_final
2020-06-29 10:54:44	ga_ls7e_ard_3-1-0_110084_2020-06-29_final
2020-07-01 10:38:16	ga_ls7e_ard_3-1-0_108074_2020-07-01_final
2020-07-01 10:39:04	ga_ls7e_ard_3-1-0_108076_2020-07-01_final
2020-07-01 10:40:16	ga_ls7e_ard_3-1-0_108079_2020-07-01_final
2020-07-02 11:23:04	ga_ls7e_ard_3-1-0_115078_2020-07-02_final
2020-07-03 10:25:00	ga_ls7e_ard_3-1-0_106072_2020-07-03_final
2020-07-03 10:25:47	ga_ls7e_ard_3-1-0_106074_2020-07-03_final
2020-07-03 10:27:23	ga_ls7e_ard_3-1-0_106078_2020-07-03_final
2020-07-03 10:28:11	ga_ls7e_ard_3-1-0_106080_2020-07-03_final
2020-07-04 11:10:35	ga_ls7e_ard_3-1-0_113078_2020-07-04_final
2020-07-04 11:12:35	ga_ls7e_ard_3-1-0_113083_2020-07-04_final
2020-07-06 10:56:55	ga_ls7e_ard_3-1-0_111075_2020-07-06_final
2020-07-08 10:42:26	ga_ls7e_ard_3-1-0_109070_2020-07-08_final
2020-07-08 10:43:38	ga_ls7e_ard_3-1-0_109073_2020-07-08_final
2020-07-08 10:44:50	ga_ls7e_ard_3-1-0_109076_2020-07-08_final
2020-07-08 10:46:01	ga_ls7e_ard_3-1-0_109079_2020-07-08_final
2020-07-08 10:46:49	ga_ls7e_ard_3-1-0_109081_2020-07-08_final
2020-07-10 10:30:21	ga_ls7e_ard_3-1-0_107071_2020-07-10_final
2020-07-10 10:31:09	ga_ls7e_ard_3-1-0_107073_2020-07-10_final
2020-07-10 10:31:33	ga_ls7e_ard_3-1-0_107074_2020-07-10_final
2020-07-10 10:33:09	ga_ls7e_ard_3-1-0_107078_2020-07-10_final
2020-07-10 10:33:56	ga_ls7e_ard_3-1-0_107080_2020-07-10_final
2020-07-10 10:35:32	ga_ls7e_ard_3-1-0_107084_2020-07-10_final
2020-07-11 11:11:57	ga_ls7e_ard_3-1-0_114067_2020-07-11_final
2020-07-11 11:14:45	ga_ls7e_ard_3-1-0_114074_2020-07-11_final
2020-07-11 11:15:33	ga_ls7e_ard_3-1-0_114076_2020-07-11_final
2020-07-11 11:15:57	ga_ls7e_ard_3-1-0_114077_2020-07-11_final
2020-07-11 11:16:45	ga_ls7e_ard_3-1-0_114079_2020-07-11_final
2020-07-11 11:17:32	ga_ls7e_ard_3-1-0_114081_2020-07-11_final
2020-07-12 10:21:52	ga_ls7e_ard_3-1-0_105081_2020-07-12_final
2020-07-13 11:04:16	ga_ls7e_ard_3-1-0_112079_2020-07-13_final
2020-07-15 10:50:59	ga_ls7e_ard_3-1-0_110077_2020-07-15_final
2020-07-15 10:53:46	ga_ls7e_ard_3-1-0_110084_2020-07-15_final
2020-07-17 10:36:54	ga_ls7e_ard_3-1-0_108073_2020-07-17_final
2020-07-17 10:37:18	ga_ls7e_ard_3-1-0_108074_2020-07-17_final
2020-07-17 10:38:06	ga_ls7e_ard_3-1-0_108076_2020-07-17_final
2020-07-17 10:39:18	ga_ls7e_ard_3-1-0_108079_2020-07-17_final
2020-07-18 11:22:06	ga_ls7e_ard_3-1-0_115078_2020-07-18_final
2020-07-19 10:24:01	ga_ls7e_ard_3-1-0_106072_2020-07-19_final
2020-07-19 10:24:49	ga_ls7e_ard_3-1-0_106074_2020-07-19_final
2020-07-19 10:26:25	ga_ls7e_ard_3-1-0_106078_2020-07-19_final
2020-07-19 10:28:01	ga_ls7e_ard_3-1-0_106082_2020-07-19_final
2020-07-20 11:12:00	ga_ls7e_ard_3-1-0_113084_2020-07-20_final
2020-07-22 10:55:56	ga_ls7e_ard_3-1-0_111075_2020-07-22_final
2020-07-22 10:56:44	ga_ls7e_ard_3-1-0_111077_2020-07-22_final
2020-07-22 10:58:20	ga_ls7e_ard_3-1-0_111081_2020-07-22_final
2020-07-24 10:41:27	ga_ls7e_ard_3-1-0_109070_2020-07-24_final
2020-07-24 10:42:39	ga_ls7e_ard_3-1-0_109073_2020-07-24_final
2020-07-24 10:43:51	ga_ls7e_ard_3-1-0_109076_2020-07-24_final
2020-07-24 10:45:03	ga_ls7e_ard_3-1-0_109079_2020-07-24_final
2020-07-24 10:45:51	ga_ls7e_ard_3-1-0_109081_2020-07-24_final
2020-07-26 10:29:22	ga_ls7e_ard_3-1-0_107071_2020-07-26_final
2020-07-26 10:30:10	ga_ls7e_ard_3-1-0_107073_2020-07-26_final
2020-07-26 10:30:34	ga_ls7e_ard_3-1-0_107074_2020-07-26_final
2020-07-27 11:15:46	ga_ls7e_ard_3-1-0_114079_2020-07-27_final
2020-07-29 11:03:16	ga_ls7e_ard_3-1-0_112079_2020-07-29_final
2020-07-31 10:47:12	ga_ls7e_ard_3-1-0_110070_2020-07-31_final
2020-07-31 10:49:59	ga_ls7e_ard_3-1-0_110077_2020-07-31_final
2020-07-31 10:50:23	ga_ls7e_ard_3-1-0_110078_2020-07-31_final
2020-07-31 10:51:11	ga_ls7e_ard_3-1-0_110080_2020-07-31_final
2020-07-31 10:52:47	ga_ls7e_ard_3-1-0_110084_2020-07-31_final
2020-08-02 10:35:55	ga_ls7e_ard_3-1-0_108073_2020-08-02_final
2020-08-02 10:36:18	ga_ls7e_ard_3-1-0_108074_2020-08-02_final
2020-08-02 10:37:06	ga_ls7e_ard_3-1-0_108076_2020-08-02_final
2020-08-02 10:38:18	ga_ls7e_ard_3-1-0_108079_2020-08-02_final
2020-08-03 11:21:06	ga_ls7e_ard_3-1-0_115078_2020-08-03_final
2020-08-04 10:21:26	ga_ls7e_ard_3-1-0_106068_2020-08-04_final
2020-08-04 10:23:01	ga_ls7e_ard_3-1-0_106072_2020-08-04_final
2020-08-04 10:23:49	ga_ls7e_ard_3-1-0_106074_2020-08-04_final
2020-08-04 10:25:25	ga_ls7e_ard_3-1-0_106078_2020-08-04_final
2020-08-04 10:26:13	ga_ls7e_ard_3-1-0_106080_2020-08-04_final
2020-08-04 10:27:01	ga_ls7e_ard_3-1-0_106082_2020-08-04_final
2020-08-05 11:07:49	ga_ls7e_ard_3-1-0_113076_2020-08-05_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years