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

50 results

Time (local)	Label
2020-11-11 09:06:35	ga_ls7e_ard_3-1-0_095067_2020-11-10_final
2020-11-11 09:08:35	ga_ls7e_ard_3-1-0_095072_2020-11-10_final
2020-11-11 09:08:59	ga_ls7e_ard_3-1-0_095073_2020-11-10_final
2020-11-11 09:09:23	ga_ls7e_ard_3-1-0_095074_2020-11-10_final
2020-11-11 09:09:47	ga_ls7e_ard_3-1-0_095075_2020-11-10_final
2020-11-11 09:10:11	ga_ls7e_ard_3-1-0_095076_2020-11-10_final
2020-11-11 09:10:35	ga_ls7e_ard_3-1-0_095077_2020-11-10_final
2020-11-11 09:10:59	ga_ls7e_ard_3-1-0_095078_2020-11-10_final
2020-11-11 09:11:23	ga_ls7e_ard_3-1-0_095079_2020-11-10_final
2020-11-11 09:11:47	ga_ls7e_ard_3-1-0_095080_2020-11-10_final
2020-11-11 09:12:11	ga_ls7e_ard_3-1-0_095081_2020-11-10_final
2020-11-11 09:12:34	ga_ls7e_ard_3-1-0_095082_2020-11-10_final
2020-11-11 09:12:58	ga_ls7e_ard_3-1-0_095083_2020-11-10_final
2020-11-11 09:13:22	ga_ls7e_ard_3-1-0_095084_2020-11-10_final
2020-11-11 09:13:46	ga_ls7e_ard_3-1-0_095085_2020-11-10_final
2020-11-11 10:45:52	ga_ls7e_ard_3-1-0_111068_2020-11-11_final
2020-11-11 10:47:04	ga_ls7e_ard_3-1-0_111071_2020-11-11_final
2020-11-11 10:47:28	ga_ls7e_ard_3-1-0_111072_2020-11-11_final
2020-11-11 10:47:52	ga_ls7e_ard_3-1-0_111073_2020-11-11_final
2020-11-11 10:48:16	ga_ls7e_ard_3-1-0_111074_2020-11-11_final
2020-11-11 10:48:40	ga_ls7e_ard_3-1-0_111075_2020-11-11_final
2020-11-11 10:49:04	ga_ls7e_ard_3-1-0_111076_2020-11-11_final
2020-11-11 10:49:28	ga_ls7e_ard_3-1-0_111077_2020-11-11_final
2020-11-11 10:49:51	ga_ls7e_ard_3-1-0_111078_2020-11-11_final
2020-11-11 10:50:15	ga_ls7e_ard_3-1-0_111079_2020-11-11_final
2020-11-11 10:50:39	ga_ls7e_ard_3-1-0_111080_2020-11-11_final
2020-11-11 10:51:03	ga_ls7e_ard_3-1-0_111081_2020-11-11_final
2020-11-11 10:51:27	ga_ls7e_ard_3-1-0_111082_2020-11-11_final
2020-11-12 09:50:11	ga_ls7e_ard_3-1-0_102068_2020-11-12_final
2020-11-12 09:50:35	ga_ls7e_ard_3-1-0_102069_2020-11-12_final
2020-11-12 09:50:59	ga_ls7e_ard_3-1-0_102070_2020-11-12_final
2020-11-12 09:51:23	ga_ls7e_ard_3-1-0_102071_2020-11-12_final
2020-11-12 09:51:47	ga_ls7e_ard_3-1-0_102072_2020-11-12_final
2020-11-12 09:52:10	ga_ls7e_ard_3-1-0_102073_2020-11-12_final
2020-11-12 09:52:34	ga_ls7e_ard_3-1-0_102074_2020-11-12_final
2020-11-12 09:52:58	ga_ls7e_ard_3-1-0_102075_2020-11-12_final
2020-11-12 09:53:22	ga_ls7e_ard_3-1-0_102076_2020-11-12_final
2020-11-12 09:53:46	ga_ls7e_ard_3-1-0_102077_2020-11-12_final
2020-11-12 09:54:10	ga_ls7e_ard_3-1-0_102078_2020-11-12_final
2020-11-12 09:54:34	ga_ls7e_ard_3-1-0_102079_2020-11-12_final
2020-11-12 09:54:58	ga_ls7e_ard_3-1-0_102080_2020-11-12_final
2020-11-12 09:55:22	ga_ls7e_ard_3-1-0_102081_2020-11-12_final
2020-11-12 09:55:46	ga_ls7e_ard_3-1-0_102082_2020-11-12_final
2020-12-10 08:42:47	ga_ls7e_ard_3-1-0_090090_2020-12-09_final
2020-12-10 10:12:53	ga_ls7e_ard_3-1-0_106068_2020-12-10_final
2020-12-10 10:13:17	ga_ls7e_ard_3-1-0_106069_2020-12-10_final
2020-12-10 10:13:41	ga_ls7e_ard_3-1-0_106070_2020-12-10_final
2020-12-10 10:14:05	ga_ls7e_ard_3-1-0_106071_2020-12-10_final
2020-12-10 10:14:29	ga_ls7e_ard_3-1-0_106072_2020-12-10_final
2020-12-10 10:18:28	ga_ls7e_ard_3-1-0_106082_2020-12-10_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