Search ga_ls7e_ard_3 across June 2021

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
2021-06-01 09:29:38	ga_ls7e_ard_3-2-0_101071_2021-05-31_final
2021-06-01 09:30:26	ga_ls7e_ard_3-2-0_101073_2021-06-01_final
2021-06-01 09:30:50	ga_ls7e_ard_3-2-0_101074_2021-06-01_final
2021-06-01 09:31:14	ga_ls7e_ard_3-2-0_101075_2021-06-01_final
2021-06-01 09:31:38	ga_ls7e_ard_3-2-0_101076_2021-06-01_final
2021-06-01 09:32:25	ga_ls7e_ard_3-2-0_101078_2021-06-01_final
2021-06-01 09:32:49	ga_ls7e_ard_3-2-0_101079_2021-06-01_final
2021-06-01 09:33:13	ga_ls7e_ard_3-2-0_101080_2021-06-01_final
2021-06-01 09:33:37	ga_ls7e_ard_3-2-0_101081_2021-06-01_final
2021-06-01 09:34:01	ga_ls7e_ard_3-2-0_101082_2021-06-01_final
2021-06-01 09:34:25	ga_ls7e_ard_3-2-0_101083_2021-06-01_final
2021-06-02 08:35:31	ga_ls7e_ard_3-2-0_092075_2021-06-01_final
2021-06-02 08:35:55	ga_ls7e_ard_3-2-0_092076_2021-06-01_final
2021-06-02 08:36:19	ga_ls7e_ard_3-2-0_092077_2021-06-01_final
2021-06-02 08:36:43	ga_ls7e_ard_3-2-0_092078_2021-06-01_final
2021-06-02 08:37:07	ga_ls7e_ard_3-2-0_092079_2021-06-01_final
2021-06-02 08:37:31	ga_ls7e_ard_3-2-0_092080_2021-06-01_final
2021-06-02 08:37:55	ga_ls7e_ard_3-2-0_092081_2021-06-01_final
2021-06-02 08:38:19	ga_ls7e_ard_3-2-0_092082_2021-06-01_final
2021-06-02 08:39:07	ga_ls7e_ard_3-2-0_092084_2021-06-01_final
2021-06-02 08:39:31	ga_ls7e_ard_3-2-0_092085_2021-06-01_final
2021-06-02 08:39:55	ga_ls7e_ard_3-2-0_092086_2021-06-01_final
2021-06-02 08:40:19	ga_ls7e_ard_3-2-0_092087_2021-06-01_final
2021-06-02 08:40:43	ga_ls7e_ard_3-2-0_092088_2021-06-01_final
2021-06-02 08:41:07	ga_ls7e_ard_3-2-0_092089_2021-06-01_final
2021-06-02 10:12:01	ga_ls7e_ard_3-2-0_108069_2021-06-02_final
2021-06-02 10:12:24	ga_ls7e_ard_3-2-0_108070_2021-06-02_final
2021-06-02 10:12:48	ga_ls7e_ard_3-2-0_108071_2021-06-02_final
2021-06-02 10:13:12	ga_ls7e_ard_3-2-0_108072_2021-06-02_final
2021-06-02 10:13:36	ga_ls7e_ard_3-2-0_108073_2021-06-02_final
2021-06-02 10:14:00	ga_ls7e_ard_3-2-0_108074_2021-06-02_final
2021-06-02 10:14:24	ga_ls7e_ard_3-2-0_108075_2021-06-02_final
2021-06-02 10:14:48	ga_ls7e_ard_3-2-0_108076_2021-06-02_final
2021-06-02 10:15:12	ga_ls7e_ard_3-2-0_108077_2021-06-02_final
2021-06-02 10:15:36	ga_ls7e_ard_3-2-0_108078_2021-06-02_final
2021-06-02 10:16:00	ga_ls7e_ard_3-2-0_108079_2021-06-02_final
2021-06-02 10:16:24	ga_ls7e_ard_3-2-0_108080_2021-06-02_final
2021-06-02 10:17:36	ga_ls7e_ard_3-2-0_108083_2021-06-02_final
2021-06-02 10:18:00	ga_ls7e_ard_3-2-0_108084_2021-06-02_final
2021-06-03 09:15:31	ga_ls7e_ard_3-2-0_099067_2021-06-02_final
2021-06-03 09:15:55	ga_ls7e_ard_3-2-0_099068_2021-06-02_final
2021-06-03 09:16:19	ga_ls7e_ard_3-2-0_099069_2021-06-02_final
2021-06-03 09:16:43	ga_ls7e_ard_3-2-0_099070_2021-06-02_final
2021-06-03 09:17:06	ga_ls7e_ard_3-2-0_099071_2021-06-02_final
2021-06-03 09:17:30	ga_ls7e_ard_3-2-0_099072_2021-06-02_final
2021-06-03 09:17:54	ga_ls7e_ard_3-2-0_099073_2021-06-02_final
2021-06-03 09:18:18	ga_ls7e_ard_3-2-0_099074_2021-06-02_final
2021-06-03 09:18:42	ga_ls7e_ard_3-2-0_099075_2021-06-02_final
2021-06-03 09:19:06	ga_ls7e_ard_3-2-0_099076_2021-06-02_final
2021-06-03 09:19:30	ga_ls7e_ard_3-2-0_099077_2021-06-02_final
2021-06-03 09:19:54	ga_ls7e_ard_3-2-0_099078_2021-06-02_final
2021-06-03 09:20:18	ga_ls7e_ard_3-2-0_099079_2021-06-02_final
2021-06-03 09:20:42	ga_ls7e_ard_3-2-0_099080_2021-06-02_final
2021-06-03 09:21:06	ga_ls7e_ard_3-2-0_099081_2021-06-02_final
2021-06-03 09:21:30	ga_ls7e_ard_3-2-0_099082_2021-06-02_final
2021-06-03 09:21:54	ga_ls7e_ard_3-2-0_099083_2021-06-02_final
2021-06-03 09:22:18	ga_ls7e_ard_3-2-0_099084_2021-06-02_final
2021-06-03 10:58:47	ga_ls7e_ard_3-2-0_115078_2021-06-03_final
2021-06-03 10:59:11	ga_ls7e_ard_3-2-0_115079_2021-06-03_final
2021-06-04 08:24:12	ga_ls7e_ard_3-2-0_090078_2021-06-03_final
2021-06-04 08:24:36	ga_ls7e_ard_3-2-0_090079_2021-06-03_final
2021-06-04 08:25:00	ga_ls7e_ard_3-2-0_090080_2021-06-03_final
2021-06-04 08:25:48	ga_ls7e_ard_3-2-0_090082_2021-06-03_final
2021-06-04 08:26:12	ga_ls7e_ard_3-2-0_090083_2021-06-03_final
2021-06-04 08:26:36	ga_ls7e_ard_3-2-0_090084_2021-06-03_final
2021-06-04 08:27:00	ga_ls7e_ard_3-2-0_090085_2021-06-03_final
2021-06-04 08:27:24	ga_ls7e_ard_3-2-0_090086_2021-06-03_final
2021-06-04 08:28:12	ga_ls7e_ard_3-2-0_090088_2021-06-03_final
2021-06-04 08:28:36	ga_ls7e_ard_3-2-0_090089_2021-06-03_final
2021-06-04 08:28:59	ga_ls7e_ard_3-2-0_090090_2021-06-03_final
2021-06-04 09:59:05	ga_ls7e_ard_3-2-0_106068_2021-06-04_final
2021-06-04 09:59:29	ga_ls7e_ard_3-2-0_106069_2021-06-04_final
2021-06-04 09:59:53	ga_ls7e_ard_3-2-0_106070_2021-06-04_final
2021-06-04 10:00:17	ga_ls7e_ard_3-2-0_106071_2021-06-04_final
2021-06-04 10:00:41	ga_ls7e_ard_3-2-0_106072_2021-06-04_final
2021-06-04 10:01:05	ga_ls7e_ard_3-2-0_106073_2021-06-04_final
2021-06-04 10:01:29	ga_ls7e_ard_3-2-0_106074_2021-06-04_final
2021-06-04 10:02:41	ga_ls7e_ard_3-2-0_106077_2021-06-04_final
2021-06-04 10:03:05	ga_ls7e_ard_3-2-0_106078_2021-06-04_final
2021-06-04 10:03:29	ga_ls7e_ard_3-2-0_106079_2021-06-04_final
2021-06-04 10:03:53	ga_ls7e_ard_3-2-0_106080_2021-06-04_final
2021-06-04 10:04:17	ga_ls7e_ard_3-2-0_106081_2021-06-04_final
2021-06-04 10:04:41	ga_ls7e_ard_3-2-0_106082_2021-06-04_final
2021-06-04 10:05:04	ga_ls7e_ard_3-2-0_106083_2021-06-04_final
2021-06-11 10:10:41	ga_ls7e_ard_3-2-0_107083_2021-06-11_final
2021-06-12 09:09:24	ga_ls7e_ard_3-2-0_098069_2021-06-11_final
2021-06-12 09:09:48	ga_ls7e_ard_3-2-0_098070_2021-06-11_final
2021-06-12 09:10:12	ga_ls7e_ard_3-2-0_098071_2021-06-11_final
2021-06-12 09:10:36	ga_ls7e_ard_3-2-0_098072_2021-06-11_final
2021-06-12 09:11:24	ga_ls7e_ard_3-2-0_098074_2021-06-11_final
2021-06-12 09:11:48	ga_ls7e_ard_3-2-0_098075_2021-06-11_final
2021-06-12 09:12:12	ga_ls7e_ard_3-2-0_098076_2021-06-11_final
2021-06-12 09:12:36	ga_ls7e_ard_3-2-0_098077_2021-06-11_final
2021-06-12 09:13:00	ga_ls7e_ard_3-2-0_098078_2021-06-11_final
2021-06-12 09:13:24	ga_ls7e_ard_3-2-0_098079_2021-06-11_final
2021-06-12 09:13:48	ga_ls7e_ard_3-2-0_098080_2021-06-11_final
2021-06-12 09:14:12	ga_ls7e_ard_3-2-0_098081_2021-06-11_final
2021-06-12 09:14:35	ga_ls7e_ard_3-2-0_098082_2021-06-11_final
2021-06-12 09:14:59	ga_ls7e_ard_3-2-0_098083_2021-06-11_final
2021-06-12 09:15:47	ga_ls7e_ard_3-2-0_098085_2021-06-11_final

Return to ga_ls7e_ard_3 across June 2021 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

2021

June

All days