Search ga_ls7e_ard_3 across June 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
2020-06-01 08:49:59	ga_ls7e_ard_3-1-0_090077_2020-05-31_final
2020-06-01 08:50:23	ga_ls7e_ard_3-1-0_090078_2020-05-31_final
2020-06-01 08:50:47	ga_ls7e_ard_3-1-0_090079_2020-05-31_final
2020-06-01 08:51:11	ga_ls7e_ard_3-1-0_090080_2020-05-31_final
2020-06-01 08:51:35	ga_ls7e_ard_3-1-0_090081_2020-05-31_final
2020-06-01 08:51:59	ga_ls7e_ard_3-1-0_090082_2020-05-31_final
2020-06-01 08:52:23	ga_ls7e_ard_3-1-0_090083_2020-05-31_final
2020-06-01 08:52:47	ga_ls7e_ard_3-1-0_090084_2020-05-31_final
2020-06-01 08:53:11	ga_ls7e_ard_3-1-0_090085_2020-05-31_final
2020-06-01 08:53:35	ga_ls7e_ard_3-1-0_090086_2020-05-31_final
2020-06-01 08:54:23	ga_ls7e_ard_3-1-0_090088_2020-05-31_final
2020-06-01 08:54:47	ga_ls7e_ard_3-1-0_090089_2020-05-31_final
2020-06-01 08:55:11	ga_ls7e_ard_3-1-0_090090_2020-05-31_final
2020-06-01 10:25:17	ga_ls7e_ard_3-1-0_106068_2020-06-01_final
2020-06-01 10:25:41	ga_ls7e_ard_3-1-0_106069_2020-06-01_final
2020-06-01 10:26:04	ga_ls7e_ard_3-1-0_106070_2020-06-01_final
2020-06-01 10:26:28	ga_ls7e_ard_3-1-0_106071_2020-06-01_final
2020-06-01 10:26:52	ga_ls7e_ard_3-1-0_106072_2020-06-01_final
2020-06-01 10:27:16	ga_ls7e_ard_3-1-0_106073_2020-06-01_final
2020-06-01 10:27:40	ga_ls7e_ard_3-1-0_106074_2020-06-01_final
2020-06-01 10:28:04	ga_ls7e_ard_3-1-0_106075_2020-06-01_final
2020-06-01 10:28:28	ga_ls7e_ard_3-1-0_106076_2020-06-01_final
2020-06-01 10:28:52	ga_ls7e_ard_3-1-0_106077_2020-06-01_final
2020-06-01 10:29:16	ga_ls7e_ard_3-1-0_106078_2020-06-01_final
2020-06-01 10:29:40	ga_ls7e_ard_3-1-0_106079_2020-06-01_final
2020-06-01 10:30:04	ga_ls7e_ard_3-1-0_106080_2020-06-01_final
2020-06-01 10:30:28	ga_ls7e_ard_3-1-0_106081_2020-06-01_final
2020-06-01 10:30:52	ga_ls7e_ard_3-1-0_106082_2020-06-01_final
2020-06-01 10:31:16	ga_ls7e_ard_3-1-0_106083_2020-06-01_final
2020-06-02 09:30:24	ga_ls7e_ard_3-1-0_097070_2020-06-02_final
2020-06-02 09:30:48	ga_ls7e_ard_3-1-0_097071_2020-06-02_final
2020-06-02 09:31:12	ga_ls7e_ard_3-1-0_097072_2020-06-02_final
2020-06-02 09:31:36	ga_ls7e_ard_3-1-0_097073_2020-06-02_final
2020-06-02 09:32:00	ga_ls7e_ard_3-1-0_097074_2020-06-02_final
2020-06-02 09:32:24	ga_ls7e_ard_3-1-0_097075_2020-06-02_final
2020-06-02 09:32:47	ga_ls7e_ard_3-1-0_097076_2020-06-02_final
2020-06-02 09:33:11	ga_ls7e_ard_3-1-0_097077_2020-06-02_final
2020-06-02 09:33:35	ga_ls7e_ard_3-1-0_097078_2020-06-02_final
2020-06-02 09:33:59	ga_ls7e_ard_3-1-0_097079_2020-06-02_final
2020-06-02 09:34:23	ga_ls7e_ard_3-1-0_097080_2020-06-02_final
2020-06-02 09:34:47	ga_ls7e_ard_3-1-0_097081_2020-06-02_final
2020-06-02 09:35:11	ga_ls7e_ard_3-1-0_097082_2020-06-02_final
2020-06-02 09:35:35	ga_ls7e_ard_3-1-0_097083_2020-06-02_final
2020-06-02 09:35:59	ga_ls7e_ard_3-1-0_097084_2020-06-02_final
2020-06-02 09:36:23	ga_ls7e_ard_3-1-0_097085_2020-06-02_final
2020-06-02 11:08:05	ga_ls7e_ard_3-1-0_113067_2020-06-02_final
2020-06-02 11:10:52	ga_ls7e_ard_3-1-0_113074_2020-06-02_final
2020-06-02 11:12:04	ga_ls7e_ard_3-1-0_113077_2020-06-02_final
2020-06-02 11:12:28	ga_ls7e_ard_3-1-0_113078_2020-06-02_final
2020-06-02 11:12:52	ga_ls7e_ard_3-1-0_113079_2020-06-02_final
2020-06-02 11:13:16	ga_ls7e_ard_3-1-0_113080_2020-06-02_final
2020-06-02 11:13:40	ga_ls7e_ard_3-1-0_113081_2020-06-02_final
2020-06-02 11:14:04	ga_ls7e_ard_3-1-0_113082_2020-06-02_final
2020-06-02 11:14:52	ga_ls7e_ard_3-1-0_113084_2020-06-02_final
2020-06-03 10:12:48	ga_ls7e_ard_3-1-0_104068_2020-06-03_final
2020-06-03 10:13:12	ga_ls7e_ard_3-1-0_104069_2020-06-03_final
2020-06-03 10:13:36	ga_ls7e_ard_3-1-0_104070_2020-06-03_final
2020-06-03 10:14:00	ga_ls7e_ard_3-1-0_104071_2020-06-03_final
2020-06-03 10:14:24	ga_ls7e_ard_3-1-0_104072_2020-06-03_final
2020-06-03 10:14:48	ga_ls7e_ard_3-1-0_104073_2020-06-03_final
2020-06-03 10:15:12	ga_ls7e_ard_3-1-0_104074_2020-06-03_final
2020-06-03 10:15:36	ga_ls7e_ard_3-1-0_104075_2020-06-03_final
2020-06-03 10:16:00	ga_ls7e_ard_3-1-0_104076_2020-06-03_final
2020-06-03 10:16:24	ga_ls7e_ard_3-1-0_104077_2020-06-03_final
2020-06-03 10:16:47	ga_ls7e_ard_3-1-0_104078_2020-06-03_final
2020-06-03 10:17:11	ga_ls7e_ard_3-1-0_104079_2020-06-03_final
2020-06-03 10:17:35	ga_ls7e_ard_3-1-0_104080_2020-06-03_final
2020-06-03 10:17:59	ga_ls7e_ard_3-1-0_104081_2020-06-03_final
2020-06-03 10:18:23	ga_ls7e_ard_3-1-0_104082_2020-06-03_final
2020-06-28 10:05:09	ga_ls7e_ard_3-1-0_103068_2020-06-28_final
2020-06-28 10:05:33	ga_ls7e_ard_3-1-0_103069_2020-06-28_final
2020-06-28 10:05:57	ga_ls7e_ard_3-1-0_103070_2020-06-28_final
2020-06-28 10:06:21	ga_ls7e_ard_3-1-0_103071_2020-06-28_final
2020-06-29 09:11:28	ga_ls7e_ard_3-1-0_094073_2020-06-28_final
2020-06-29 09:11:52	ga_ls7e_ard_3-1-0_094074_2020-06-28_final
2020-06-29 09:12:16	ga_ls7e_ard_3-1-0_094075_2020-06-28_final
2020-06-29 09:12:40	ga_ls7e_ard_3-1-0_094076_2020-06-28_final
2020-06-29 09:13:04	ga_ls7e_ard_3-1-0_094077_2020-06-28_final
2020-06-29 09:13:28	ga_ls7e_ard_3-1-0_094078_2020-06-28_final
2020-06-29 09:13:52	ga_ls7e_ard_3-1-0_094079_2020-06-28_final
2020-06-29 09:14:16	ga_ls7e_ard_3-1-0_094080_2020-06-28_final
2020-06-29 09:14:40	ga_ls7e_ard_3-1-0_094081_2020-06-28_final
2020-06-29 09:15:04	ga_ls7e_ard_3-1-0_094082_2020-06-28_final
2020-06-29 09:15:28	ga_ls7e_ard_3-1-0_094083_2020-06-28_final
2020-06-29 09:15:52	ga_ls7e_ard_3-1-0_094084_2020-06-28_final
2020-06-29 09:16:16	ga_ls7e_ard_3-1-0_094085_2020-06-28_final
2020-06-29 09:16:40	ga_ls7e_ard_3-1-0_094086_2020-06-28_final
2020-06-29 09:17:04	ga_ls7e_ard_3-1-0_094087_2020-06-28_final
2020-06-30 09:53:52	ga_ls7e_ard_3-1-0_101071_2020-06-30_final
2020-06-30 09:54:16	ga_ls7e_ard_3-1-0_101072_2020-06-30_final
2020-06-30 09:54:40	ga_ls7e_ard_3-1-0_101073_2020-06-30_final
2020-06-30 09:55:04	ga_ls7e_ard_3-1-0_101074_2020-06-30_final
2020-06-30 09:55:28	ga_ls7e_ard_3-1-0_101075_2020-06-30_final
2020-06-30 09:55:52	ga_ls7e_ard_3-1-0_101076_2020-06-30_final
2020-06-30 09:56:16	ga_ls7e_ard_3-1-0_101077_2020-06-30_final
2020-06-30 09:56:40	ga_ls7e_ard_3-1-0_101078_2020-06-30_final
2020-06-30 09:57:04	ga_ls7e_ard_3-1-0_101079_2020-06-30_final
2020-06-30 09:57:28	ga_ls7e_ard_3-1-0_101080_2020-06-30_final
2020-06-30 09:57:52	ga_ls7e_ard_3-1-0_101081_2020-06-30_final
2020-06-30 09:58:16	ga_ls7e_ard_3-1-0_101082_2020-06-30_final

Return to ga_ls7e_ard_3 across June 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

June

All days