Search ga_ls7e_ard_3 across February 2020

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
2020-02-25 09:47:14	ga_ls7e_ard_3-1-0_099067_2020-02-25_final
2020-02-25 09:47:38	ga_ls7e_ard_3-1-0_099068_2020-02-25_final
2020-02-25 09:48:02	ga_ls7e_ard_3-1-0_099069_2020-02-25_final
2020-02-25 09:48:26	ga_ls7e_ard_3-1-0_099070_2020-02-25_final
2020-02-25 09:48:50	ga_ls7e_ard_3-1-0_099071_2020-02-25_final
2020-02-25 09:50:01	ga_ls7e_ard_3-1-0_099074_2020-02-25_final
2020-02-25 09:50:25	ga_ls7e_ard_3-1-0_099075_2020-02-25_final
2020-02-25 09:50:49	ga_ls7e_ard_3-1-0_099076_2020-02-25_final
2020-02-25 09:51:13	ga_ls7e_ard_3-1-0_099077_2020-02-25_final
2020-02-25 09:51:37	ga_ls7e_ard_3-1-0_099078_2020-02-25_final
2020-02-25 09:52:01	ga_ls7e_ard_3-1-0_099079_2020-02-25_final
2020-02-25 09:52:25	ga_ls7e_ard_3-1-0_099080_2020-02-25_final
2020-02-25 09:52:49	ga_ls7e_ard_3-1-0_099081_2020-02-25_final
2020-02-25 09:53:13	ga_ls7e_ard_3-1-0_099082_2020-02-25_final
2020-02-25 09:53:37	ga_ls7e_ard_3-1-0_099083_2020-02-25_final
2020-02-25 09:54:01	ga_ls7e_ard_3-1-0_099084_2020-02-25_final
2020-02-25 11:28:54	ga_ls7e_ard_3-1-0_115074_2020-02-25_final
2020-02-25 11:29:18	ga_ls7e_ard_3-1-0_115075_2020-02-25_final
2020-02-25 11:29:42	ga_ls7e_ard_3-1-0_115076_2020-02-25_final
2020-02-25 11:30:06	ga_ls7e_ard_3-1-0_115077_2020-02-25_final
2020-02-25 11:30:30	ga_ls7e_ard_3-1-0_115078_2020-02-25_final
2020-02-25 11:30:54	ga_ls7e_ard_3-1-0_115079_2020-02-25_final
2020-02-26 08:55:33	ga_ls7e_ard_3-1-0_090077_2020-02-25_final
2020-02-26 08:55:57	ga_ls7e_ard_3-1-0_090078_2020-02-25_final
2020-02-26 08:56:45	ga_ls7e_ard_3-1-0_090080_2020-02-25_final
2020-02-26 08:57:33	ga_ls7e_ard_3-1-0_090082_2020-02-25_final
2020-02-26 08:57:57	ga_ls7e_ard_3-1-0_090083_2020-02-25_final
2020-02-26 08:58:20	ga_ls7e_ard_3-1-0_090084_2020-02-25_final
2020-02-26 08:58:44	ga_ls7e_ard_3-1-0_090085_2020-02-25_final
2020-02-26 08:59:08	ga_ls7e_ard_3-1-0_090086_2020-02-25_final
2020-02-26 09:00:44	ga_ls7e_ard_3-1-0_090090_2020-02-25_final
2020-02-26 10:31:14	ga_ls7e_ard_3-1-0_106069_2020-02-26_final
2020-02-26 10:31:38	ga_ls7e_ard_3-1-0_106070_2020-02-26_final
2020-02-26 10:32:02	ga_ls7e_ard_3-1-0_106071_2020-02-26_final
2020-02-26 10:32:26	ga_ls7e_ard_3-1-0_106072_2020-02-26_final
2020-02-26 10:32:50	ga_ls7e_ard_3-1-0_106073_2020-02-26_final
2020-02-26 10:33:14	ga_ls7e_ard_3-1-0_106074_2020-02-26_final
2020-02-26 10:33:38	ga_ls7e_ard_3-1-0_106075_2020-02-26_final
2020-02-26 10:34:02	ga_ls7e_ard_3-1-0_106076_2020-02-26_final
2020-02-26 10:34:26	ga_ls7e_ard_3-1-0_106077_2020-02-26_final
2020-02-26 10:34:50	ga_ls7e_ard_3-1-0_106078_2020-02-26_final
2020-02-26 10:35:14	ga_ls7e_ard_3-1-0_106079_2020-02-26_final
2020-02-26 10:35:37	ga_ls7e_ard_3-1-0_106080_2020-02-26_final
2020-02-26 10:36:01	ga_ls7e_ard_3-1-0_106081_2020-02-26_final
2020-02-27 09:35:34	ga_ls7e_ard_3-1-0_097069_2020-02-27_final
2020-02-27 09:35:58	ga_ls7e_ard_3-1-0_097070_2020-02-27_final
2020-02-27 09:36:46	ga_ls7e_ard_3-1-0_097072_2020-02-27_final
2020-02-27 09:37:10	ga_ls7e_ard_3-1-0_097073_2020-02-27_final
2020-02-27 09:37:33	ga_ls7e_ard_3-1-0_097074_2020-02-27_final
2020-02-27 09:37:57	ga_ls7e_ard_3-1-0_097075_2020-02-27_final
2020-02-27 09:38:21	ga_ls7e_ard_3-1-0_097076_2020-02-27_final
2020-02-27 09:38:45	ga_ls7e_ard_3-1-0_097077_2020-02-27_final
2020-02-27 09:39:09	ga_ls7e_ard_3-1-0_097078_2020-02-27_final
2020-02-27 09:39:33	ga_ls7e_ard_3-1-0_097079_2020-02-27_final
2020-02-27 09:39:57	ga_ls7e_ard_3-1-0_097080_2020-02-27_final
2020-02-27 09:40:21	ga_ls7e_ard_3-1-0_097081_2020-02-27_final
2020-02-27 09:40:45	ga_ls7e_ard_3-1-0_097082_2020-02-27_final
2020-02-27 09:41:09	ga_ls7e_ard_3-1-0_097083_2020-02-27_final
2020-02-27 11:13:39	ga_ls7e_ard_3-1-0_113067_2020-02-27_final
2020-02-27 11:16:26	ga_ls7e_ard_3-1-0_113074_2020-02-27_final
2020-02-27 11:16:50	ga_ls7e_ard_3-1-0_113075_2020-02-27_final
2020-02-27 11:17:14	ga_ls7e_ard_3-1-0_113076_2020-02-27_final
2020-02-27 11:17:38	ga_ls7e_ard_3-1-0_113077_2020-02-27_final
2020-02-27 11:18:02	ga_ls7e_ard_3-1-0_113078_2020-02-27_final
2020-02-27 11:18:26	ga_ls7e_ard_3-1-0_113079_2020-02-27_final
2020-02-27 11:18:50	ga_ls7e_ard_3-1-0_113080_2020-02-27_final
2020-02-28 10:18:46	ga_ls7e_ard_3-1-0_104069_2020-02-28_final
2020-02-28 10:21:10	ga_ls7e_ard_3-1-0_104075_2020-02-28_final
2020-02-28 10:21:34	ga_ls7e_ard_3-1-0_104076_2020-02-28_final
2020-02-28 10:21:58	ga_ls7e_ard_3-1-0_104077_2020-02-28_final
2020-02-28 10:22:22	ga_ls7e_ard_3-1-0_104078_2020-02-28_final
2020-02-28 10:22:46	ga_ls7e_ard_3-1-0_104079_2020-02-28_final
2020-02-28 10:23:09	ga_ls7e_ard_3-1-0_104080_2020-02-28_final
2020-02-28 10:23:33	ga_ls7e_ard_3-1-0_104081_2020-02-28_final
2020-02-28 10:23:57	ga_ls7e_ard_3-1-0_104082_2020-02-28_final
2020-02-29 09:22:18	ga_ls7e_ard_3-1-0_095067_2020-02-28_final
2020-02-29 09:24:18	ga_ls7e_ard_3-1-0_095072_2020-02-28_final
2020-02-29 09:24:41	ga_ls7e_ard_3-1-0_095073_2020-02-28_final
2020-02-29 09:25:05	ga_ls7e_ard_3-1-0_095074_2020-02-28_final
2020-02-29 09:25:29	ga_ls7e_ard_3-1-0_095075_2020-02-28_final
2020-02-29 09:25:53	ga_ls7e_ard_3-1-0_095076_2020-02-28_final
2020-02-29 09:26:17	ga_ls7e_ard_3-1-0_095077_2020-02-28_final
2020-02-29 09:26:41	ga_ls7e_ard_3-1-0_095078_2020-02-28_final
2020-02-29 09:27:05	ga_ls7e_ard_3-1-0_095079_2020-02-28_final
2020-02-29 09:27:29	ga_ls7e_ard_3-1-0_095080_2020-02-28_final
2020-02-29 09:27:53	ga_ls7e_ard_3-1-0_095081_2020-02-28_final
2020-02-29 09:28:17	ga_ls7e_ard_3-1-0_095082_2020-02-28_final
2020-02-29 09:28:41	ga_ls7e_ard_3-1-0_095083_2020-02-28_final
2020-02-29 11:01:11	ga_ls7e_ard_3-1-0_111067_2020-02-29_final
2020-02-29 11:01:35	ga_ls7e_ard_3-1-0_111068_2020-02-29_final
2020-02-29 11:03:34	ga_ls7e_ard_3-1-0_111073_2020-02-29_final
2020-02-29 11:03:58	ga_ls7e_ard_3-1-0_111074_2020-02-29_final
2020-02-29 11:04:22	ga_ls7e_ard_3-1-0_111075_2020-02-29_final
2020-02-29 11:04:46	ga_ls7e_ard_3-1-0_111076_2020-02-29_final
2020-02-29 11:05:10	ga_ls7e_ard_3-1-0_111077_2020-02-29_final
2020-02-29 11:05:34	ga_ls7e_ard_3-1-0_111078_2020-02-29_final
2020-02-29 11:05:58	ga_ls7e_ard_3-1-0_111079_2020-02-29_final
2020-02-29 11:06:22	ga_ls7e_ard_3-1-0_111080_2020-02-29_final
2020-02-29 11:07:10	ga_ls7e_ard_3-1-0_111082_2020-02-29_final
2020-02-29 11:07:34	ga_ls7e_ard_3-1-0_111083_2020-02-29_final

Return to ga_ls7e_ard_3 across February 2020 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

2020

February

All days