Search ga_ls7e_ard_3 across September 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
2020-09-01 09:05:04	ga_ls7e_ard_3-1-0_094067_2020-08-31_final
2020-09-01 09:07:28	ga_ls7e_ard_3-1-0_094073_2020-08-31_final
2020-09-01 09:07:52	ga_ls7e_ard_3-1-0_094074_2020-08-31_final
2020-09-01 09:08:16	ga_ls7e_ard_3-1-0_094075_2020-08-31_final
2020-09-01 09:08:40	ga_ls7e_ard_3-1-0_094076_2020-08-31_final
2020-09-01 09:09:04	ga_ls7e_ard_3-1-0_094077_2020-08-31_final
2020-09-01 09:09:28	ga_ls7e_ard_3-1-0_094078_2020-08-31_final
2020-09-01 09:09:52	ga_ls7e_ard_3-1-0_094079_2020-08-31_final
2020-09-01 09:10:16	ga_ls7e_ard_3-1-0_094080_2020-08-31_final
2020-09-01 09:10:40	ga_ls7e_ard_3-1-0_094081_2020-08-31_final
2020-09-01 09:11:04	ga_ls7e_ard_3-1-0_094082_2020-08-31_final
2020-09-01 09:11:28	ga_ls7e_ard_3-1-0_094083_2020-08-31_final
2020-09-01 09:11:51	ga_ls7e_ard_3-1-0_094084_2020-08-31_final
2020-09-01 09:12:15	ga_ls7e_ard_3-1-0_094085_2020-08-31_final
2020-09-01 09:12:39	ga_ls7e_ard_3-1-0_094086_2020-08-31_final
2020-09-01 09:13:03	ga_ls7e_ard_3-1-0_094087_2020-08-31_final
2020-09-01 10:45:09	ga_ls7e_ard_3-1-0_110070_2020-09-01_final
2020-09-01 10:45:33	ga_ls7e_ard_3-1-0_110071_2020-09-01_final
2020-09-01 10:45:57	ga_ls7e_ard_3-1-0_110072_2020-09-01_final
2020-09-01 10:46:21	ga_ls7e_ard_3-1-0_110073_2020-09-01_final
2020-09-01 10:46:45	ga_ls7e_ard_3-1-0_110074_2020-09-01_final
2020-09-01 10:47:09	ga_ls7e_ard_3-1-0_110075_2020-09-01_final
2020-09-01 10:47:33	ga_ls7e_ard_3-1-0_110076_2020-09-01_final
2020-09-01 10:47:57	ga_ls7e_ard_3-1-0_110077_2020-09-01_final
2020-09-01 10:48:21	ga_ls7e_ard_3-1-0_110078_2020-09-01_final
2020-09-01 10:48:44	ga_ls7e_ard_3-1-0_110079_2020-09-01_final
2020-09-01 10:49:08	ga_ls7e_ard_3-1-0_110080_2020-09-01_final
2020-09-01 10:49:32	ga_ls7e_ard_3-1-0_110081_2020-09-01_final
2020-09-01 10:49:56	ga_ls7e_ard_3-1-0_110082_2020-09-01_final
2020-09-01 10:50:20	ga_ls7e_ard_3-1-0_110083_2020-09-01_final
2020-09-01 10:50:44	ga_ls7e_ard_3-1-0_110084_2020-09-01_final
2020-09-02 09:49:52	ga_ls7e_ard_3-1-0_101071_2020-09-02_final
2020-09-02 09:50:16	ga_ls7e_ard_3-1-0_101072_2020-09-02_final
2020-09-02 09:50:40	ga_ls7e_ard_3-1-0_101073_2020-09-02_final
2020-09-02 09:51:04	ga_ls7e_ard_3-1-0_101074_2020-09-02_final
2020-09-02 09:51:28	ga_ls7e_ard_3-1-0_101075_2020-09-02_final
2020-09-02 09:51:52	ga_ls7e_ard_3-1-0_101076_2020-09-02_final
2020-09-02 09:52:15	ga_ls7e_ard_3-1-0_101077_2020-09-02_final
2020-09-02 09:52:39	ga_ls7e_ard_3-1-0_101078_2020-09-02_final
2020-09-02 09:53:03	ga_ls7e_ard_3-1-0_101079_2020-09-02_final
2020-09-02 09:53:27	ga_ls7e_ard_3-1-0_101080_2020-09-02_final
2020-09-02 09:53:51	ga_ls7e_ard_3-1-0_101081_2020-09-02_final
2020-09-02 09:54:15	ga_ls7e_ard_3-1-0_101082_2020-09-02_final
2020-09-02 09:54:39	ga_ls7e_ard_3-1-0_101083_2020-09-02_final
2020-09-03 08:56:10	ga_ls7e_ard_3-1-0_092076_2020-09-02_final
2020-09-03 08:56:34	ga_ls7e_ard_3-1-0_092077_2020-09-02_final
2020-09-03 08:56:58	ga_ls7e_ard_3-1-0_092078_2020-09-02_final
2020-09-03 08:57:22	ga_ls7e_ard_3-1-0_092079_2020-09-02_final
2020-09-03 08:57:46	ga_ls7e_ard_3-1-0_092080_2020-09-02_final
2020-09-03 08:58:10	ga_ls7e_ard_3-1-0_092081_2020-09-02_final
2020-09-03 08:58:34	ga_ls7e_ard_3-1-0_092082_2020-09-02_final
2020-09-03 08:58:58	ga_ls7e_ard_3-1-0_092083_2020-09-02_final
2020-09-03 08:59:22	ga_ls7e_ard_3-1-0_092084_2020-09-02_final
2020-09-03 08:59:46	ga_ls7e_ard_3-1-0_092085_2020-09-02_final
2020-09-03 09:00:10	ga_ls7e_ard_3-1-0_092086_2020-09-02_final
2020-09-03 09:00:34	ga_ls7e_ard_3-1-0_092087_2020-09-02_final
2020-09-27 09:42:02	ga_ls7e_ard_3-1-0_100071_2020-09-27_final
2020-09-27 09:42:26	ga_ls7e_ard_3-1-0_100072_2020-09-27_final
2020-09-27 09:42:50	ga_ls7e_ard_3-1-0_100073_2020-09-27_final
2020-09-27 09:43:14	ga_ls7e_ard_3-1-0_100074_2020-09-27_final
2020-09-27 09:43:38	ga_ls7e_ard_3-1-0_100075_2020-09-27_final
2020-09-27 09:44:02	ga_ls7e_ard_3-1-0_100076_2020-09-27_final
2020-09-27 09:44:26	ga_ls7e_ard_3-1-0_100077_2020-09-27_final
2020-09-27 09:44:50	ga_ls7e_ard_3-1-0_100078_2020-09-27_final
2020-09-27 09:45:14	ga_ls7e_ard_3-1-0_100079_2020-09-27_final
2020-09-27 09:45:38	ga_ls7e_ard_3-1-0_100080_2020-09-27_final
2020-09-27 09:46:02	ga_ls7e_ard_3-1-0_100081_2020-09-27_final
2020-09-27 09:46:26	ga_ls7e_ard_3-1-0_100082_2020-09-27_final
2020-09-28 08:48:21	ga_ls7e_ard_3-1-0_091076_2020-09-27_final
2020-09-28 08:48:45	ga_ls7e_ard_3-1-0_091077_2020-09-27_final
2020-09-28 08:49:09	ga_ls7e_ard_3-1-0_091078_2020-09-27_final
2020-09-28 08:49:33	ga_ls7e_ard_3-1-0_091079_2020-09-27_final
2020-09-28 08:49:57	ga_ls7e_ard_3-1-0_091080_2020-09-27_final
2020-09-28 08:50:21	ga_ls7e_ard_3-1-0_091081_2020-09-27_final
2020-09-28 08:50:45	ga_ls7e_ard_3-1-0_091082_2020-09-27_final
2020-09-28 08:51:09	ga_ls7e_ard_3-1-0_091083_2020-09-27_final
2020-09-28 08:51:33	ga_ls7e_ard_3-1-0_091084_2020-09-27_final
2020-09-28 08:51:57	ga_ls7e_ard_3-1-0_091085_2020-09-27_final
2020-09-28 08:52:21	ga_ls7e_ard_3-1-0_091086_2020-09-27_final
2020-09-28 08:53:08	ga_ls7e_ard_3-1-0_091088_2020-09-27_final
2020-09-28 08:53:32	ga_ls7e_ard_3-1-0_091089_2020-09-27_final
2020-09-29 09:27:57	ga_ls7e_ard_3-1-0_098067_2020-09-28_final
2020-09-29 09:28:21	ga_ls7e_ard_3-1-0_098068_2020-09-28_final
2020-09-29 09:28:45	ga_ls7e_ard_3-1-0_098069_2020-09-28_final
2020-09-29 09:29:09	ga_ls7e_ard_3-1-0_098070_2020-09-28_final
2020-09-29 09:29:33	ga_ls7e_ard_3-1-0_098071_2020-09-28_final
2020-09-29 09:30:21	ga_ls7e_ard_3-1-0_098073_2020-09-29_final
2020-09-29 09:30:45	ga_ls7e_ard_3-1-0_098074_2020-09-29_final
2020-09-29 09:31:09	ga_ls7e_ard_3-1-0_098075_2020-09-29_final
2020-09-29 09:31:33	ga_ls7e_ard_3-1-0_098076_2020-09-29_final
2020-09-29 09:31:57	ga_ls7e_ard_3-1-0_098077_2020-09-29_final
2020-09-29 09:32:21	ga_ls7e_ard_3-1-0_098078_2020-09-29_final
2020-09-30 08:36:40	ga_ls7e_ard_3-1-0_089078_2020-09-29_final
2020-09-30 08:37:04	ga_ls7e_ard_3-1-0_089079_2020-09-29_final
2020-09-30 08:37:28	ga_ls7e_ard_3-1-0_089080_2020-09-29_final
2020-09-30 08:37:52	ga_ls7e_ard_3-1-0_089081_2020-09-29_final
2020-09-30 08:38:16	ga_ls7e_ard_3-1-0_089082_2020-09-29_final
2020-09-30 08:38:40	ga_ls7e_ard_3-1-0_089083_2020-09-29_final
2020-09-30 08:39:04	ga_ls7e_ard_3-1-0_089084_2020-09-29_final
2020-09-30 08:39:27	ga_ls7e_ard_3-1-0_089085_2020-09-29_final

Return to ga_ls7e_ard_3 across September 2020 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

2020

September

All days