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

61 results

Time (local)	Label
2020-10-23 08:40:58	ga_ls7e_ard_3-1-0_090077_2020-10-22_final
2020-10-23 08:41:22	ga_ls7e_ard_3-1-0_090078_2020-10-22_final
2020-10-23 08:42:33	ga_ls7e_ard_3-1-0_090081_2020-10-22_final
2020-10-23 08:42:57	ga_ls7e_ard_3-1-0_090082_2020-10-22_final
2020-10-23 08:43:21	ga_ls7e_ard_3-1-0_090083_2020-10-22_final
2020-10-23 08:43:45	ga_ls7e_ard_3-1-0_090084_2020-10-22_final
2020-10-23 08:44:09	ga_ls7e_ard_3-1-0_090085_2020-10-22_final
2020-10-23 08:44:33	ga_ls7e_ard_3-1-0_090086_2020-10-22_final
2020-10-23 10:16:15	ga_ls7e_ard_3-1-0_106068_2020-10-23_final
2020-10-23 10:16:39	ga_ls7e_ard_3-1-0_106069_2020-10-23_final
2020-10-23 10:17:03	ga_ls7e_ard_3-1-0_106070_2020-10-23_final
2020-10-23 10:17:51	ga_ls7e_ard_3-1-0_106072_2020-10-23_final
2020-10-23 10:18:15	ga_ls7e_ard_3-1-0_106073_2020-10-23_final
2020-10-23 10:18:39	ga_ls7e_ard_3-1-0_106074_2020-10-23_final
2020-10-23 10:19:03	ga_ls7e_ard_3-1-0_106075_2020-10-23_final
2020-10-23 10:19:26	ga_ls7e_ard_3-1-0_106076_2020-10-23_final
2020-10-23 10:19:50	ga_ls7e_ard_3-1-0_106077_2020-10-23_final
2020-10-23 10:20:14	ga_ls7e_ard_3-1-0_106078_2020-10-23_final
2020-10-23 10:20:38	ga_ls7e_ard_3-1-0_106079_2020-10-23_final
2020-10-23 10:21:02	ga_ls7e_ard_3-1-0_106080_2020-10-23_final
2020-10-23 10:21:50	ga_ls7e_ard_3-1-0_106082_2020-10-23_final
2020-10-23 10:22:14	ga_ls7e_ard_3-1-0_106083_2020-10-23_final
2020-10-24 09:20:58	ga_ls7e_ard_3-1-0_097069_2020-10-23_final
2020-10-24 09:21:22	ga_ls7e_ard_3-1-0_097070_2020-10-23_final
2020-10-24 09:21:46	ga_ls7e_ard_3-1-0_097071_2020-10-23_final
2020-10-24 09:22:10	ga_ls7e_ard_3-1-0_097072_2020-10-23_final
2020-10-24 09:22:34	ga_ls7e_ard_3-1-0_097073_2020-10-23_final
2020-10-24 09:22:57	ga_ls7e_ard_3-1-0_097074_2020-10-23_final
2020-10-24 09:23:21	ga_ls7e_ard_3-1-0_097075_2020-10-23_final
2020-10-24 09:23:45	ga_ls7e_ard_3-1-0_097076_2020-10-23_final
2020-10-24 09:24:09	ga_ls7e_ard_3-1-0_097077_2020-10-23_final
2020-10-24 09:24:33	ga_ls7e_ard_3-1-0_097078_2020-10-23_final
2020-10-24 09:24:57	ga_ls7e_ard_3-1-0_097079_2020-10-23_final
2020-10-24 10:59:03	ga_ls7e_ard_3-1-0_113067_2020-10-24_final
2020-10-24 11:01:50	ga_ls7e_ard_3-1-0_113074_2020-10-24_final
2020-10-24 11:02:14	ga_ls7e_ard_3-1-0_113075_2020-10-24_final
2020-10-24 11:02:38	ga_ls7e_ard_3-1-0_113076_2020-10-24_final
2020-10-24 11:03:02	ga_ls7e_ard_3-1-0_113077_2020-10-24_final
2020-10-24 11:03:26	ga_ls7e_ard_3-1-0_113078_2020-10-24_final
2020-10-24 11:03:50	ga_ls7e_ard_3-1-0_113079_2020-10-24_final
2020-10-24 11:04:14	ga_ls7e_ard_3-1-0_113080_2020-10-24_final
2020-10-24 11:04:38	ga_ls7e_ard_3-1-0_113081_2020-10-24_final
2020-10-24 11:05:02	ga_ls7e_ard_3-1-0_113082_2020-10-24_final
2020-10-24 11:05:26	ga_ls7e_ard_3-1-0_113083_2020-10-24_final
2020-10-24 11:05:50	ga_ls7e_ard_3-1-0_113084_2020-10-24_final
2020-11-21 09:47:22	ga_ls7e_ard_3-1-0_101078_2020-11-21_final
2020-11-21 09:47:45	ga_ls7e_ard_3-1-0_101079_2020-11-21_final
2020-11-21 09:48:09	ga_ls7e_ard_3-1-0_101080_2020-11-21_final
2020-11-21 09:48:33	ga_ls7e_ard_3-1-0_101081_2020-11-21_final
2020-11-21 09:48:57	ga_ls7e_ard_3-1-0_101082_2020-11-21_final
2020-11-22 08:50:28	ga_ls7e_ard_3-1-0_092075_2020-11-21_final
2020-11-22 08:50:52	ga_ls7e_ard_3-1-0_092076_2020-11-21_final
2020-11-22 08:51:16	ga_ls7e_ard_3-1-0_092077_2020-11-21_final
2020-11-22 08:51:40	ga_ls7e_ard_3-1-0_092078_2020-11-21_final
2020-11-22 08:52:04	ga_ls7e_ard_3-1-0_092079_2020-11-21_final
2020-11-22 08:52:28	ga_ls7e_ard_3-1-0_092080_2020-11-21_final
2020-11-22 08:52:52	ga_ls7e_ard_3-1-0_092081_2020-11-21_final
2020-11-22 08:53:16	ga_ls7e_ard_3-1-0_092082_2020-11-21_final
2020-11-22 08:54:04	ga_ls7e_ard_3-1-0_092084_2020-11-21_final
2020-11-22 08:54:28	ga_ls7e_ard_3-1-0_092085_2020-11-21_final
2020-11-22 08:55:16	ga_ls7e_ard_3-1-0_092087_2020-11-21_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