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

55 results

Time (local)	Label
2020-10-26 10:50:33	ga_ls7e_ard_3-1-0_111077_2020-10-26_final
2020-10-27 09:51:16	ga_ls7e_ard_3-1-0_102068_2020-10-27_final
2020-10-27 09:51:40	ga_ls7e_ard_3-1-0_102069_2020-10-27_final
2020-10-27 09:52:04	ga_ls7e_ard_3-1-0_102070_2020-10-27_final
2020-10-27 09:52:28	ga_ls7e_ard_3-1-0_102071_2020-10-27_final
2020-10-27 09:52:52	ga_ls7e_ard_3-1-0_102072_2020-10-27_final
2020-10-27 09:53:16	ga_ls7e_ard_3-1-0_102073_2020-10-27_final
2020-10-27 09:53:40	ga_ls7e_ard_3-1-0_102074_2020-10-27_final
2020-10-27 09:54:03	ga_ls7e_ard_3-1-0_102075_2020-10-27_final
2020-10-27 09:54:27	ga_ls7e_ard_3-1-0_102076_2020-10-27_final
2020-10-27 09:54:51	ga_ls7e_ard_3-1-0_102077_2020-10-27_final
2020-10-27 09:55:15	ga_ls7e_ard_3-1-0_102078_2020-10-27_final
2020-10-27 09:55:39	ga_ls7e_ard_3-1-0_102079_2020-10-27_final
2020-10-27 09:56:03	ga_ls7e_ard_3-1-0_102080_2020-10-27_final
2020-10-27 09:56:27	ga_ls7e_ard_3-1-0_102081_2020-10-27_final
2020-10-27 09:56:51	ga_ls7e_ard_3-1-0_102082_2020-10-27_final
2020-10-28 08:57:58	ga_ls7e_ard_3-1-0_093074_2020-10-27_final
2020-10-28 08:58:22	ga_ls7e_ard_3-1-0_093075_2020-10-27_final
2020-10-28 08:58:46	ga_ls7e_ard_3-1-0_093076_2020-10-27_final
2020-10-28 08:59:10	ga_ls7e_ard_3-1-0_093077_2020-10-27_final
2020-10-28 08:59:34	ga_ls7e_ard_3-1-0_093078_2020-10-27_final
2020-10-28 08:59:58	ga_ls7e_ard_3-1-0_093079_2020-10-27_final
2020-10-28 09:00:22	ga_ls7e_ard_3-1-0_093080_2020-10-27_final
2020-10-28 09:00:46	ga_ls7e_ard_3-1-0_093081_2020-10-27_final
2020-10-28 09:01:10	ga_ls7e_ard_3-1-0_093082_2020-10-27_final
2020-10-28 09:01:34	ga_ls7e_ard_3-1-0_093083_2020-10-27_final
2020-10-28 09:01:58	ga_ls7e_ard_3-1-0_093084_2020-10-27_final
2020-10-28 09:02:22	ga_ls7e_ard_3-1-0_093085_2020-10-27_final
2020-10-28 09:02:46	ga_ls7e_ard_3-1-0_093086_2020-10-27_final
2020-10-28 09:03:10	ga_ls7e_ard_3-1-0_093087_2020-10-27_final
2020-10-28 10:35:15	ga_ls7e_ard_3-1-0_109070_2020-10-28_final
2020-10-28 10:35:39	ga_ls7e_ard_3-1-0_109071_2020-10-28_final
2020-10-28 10:36:03	ga_ls7e_ard_3-1-0_109072_2020-10-28_final
2020-10-28 10:36:27	ga_ls7e_ard_3-1-0_109073_2020-10-28_final
2020-10-28 10:36:51	ga_ls7e_ard_3-1-0_109074_2020-10-28_final
2020-10-28 10:37:39	ga_ls7e_ard_3-1-0_109076_2020-10-28_final
2020-10-28 10:38:03	ga_ls7e_ard_3-1-0_109077_2020-10-28_final
2020-10-28 10:38:27	ga_ls7e_ard_3-1-0_109078_2020-10-28_final
2020-10-28 10:38:51	ga_ls7e_ard_3-1-0_109079_2020-10-28_final
2020-10-28 10:39:15	ga_ls7e_ard_3-1-0_109080_2020-10-28_final
2020-10-28 10:39:39	ga_ls7e_ard_3-1-0_109081_2020-10-28_final
2020-10-28 10:40:03	ga_ls7e_ard_3-1-0_109082_2020-10-28_final
2020-10-28 10:40:27	ga_ls7e_ard_3-1-0_109083_2020-10-28_final
2020-10-28 10:40:51	ga_ls7e_ard_3-1-0_109084_2020-10-28_final
2020-11-25 10:56:51	ga_ls7e_ard_3-1-0_113067_2020-11-25_final
2020-11-25 10:59:38	ga_ls7e_ard_3-1-0_113074_2020-11-25_final
2020-11-25 11:00:02	ga_ls7e_ard_3-1-0_113075_2020-11-25_final
2020-11-25 11:00:26	ga_ls7e_ard_3-1-0_113076_2020-11-25_final
2020-11-25 11:00:50	ga_ls7e_ard_3-1-0_113077_2020-11-25_final
2020-11-25 11:01:14	ga_ls7e_ard_3-1-0_113078_2020-11-25_final
2020-11-25 11:01:38	ga_ls7e_ard_3-1-0_113079_2020-11-25_final
2020-11-25 11:02:02	ga_ls7e_ard_3-1-0_113080_2020-11-25_final
2020-11-25 11:02:26	ga_ls7e_ard_3-1-0_113081_2020-11-25_final
2020-11-25 11:02:50	ga_ls7e_ard_3-1-0_113082_2020-11-25_final
2020-11-25 11:03:14	ga_ls7e_ard_3-1-0_113083_2020-11-25_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