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

First 100 results (query limit)

Time (local)	Label
2017-11-03 11:29:31	ga_ls7e_ard_3-1-0_111076_2017-11-03_final
2020-05-21 10:47:16	ga_ls7e_ard_3-1-0_109075_2020-05-21_final
2020-05-21 10:48:04	ga_ls7e_ard_3-1-0_109077_2020-05-21_final
2020-05-21 10:49:40	ga_ls7e_ard_3-1-0_109081_2020-05-21_final
2020-05-21 10:50:28	ga_ls7e_ard_3-1-0_109083_2020-05-21_final
2020-05-23 10:33:35	ga_ls7e_ard_3-1-0_107072_2020-05-23_final
2020-05-23 10:35:35	ga_ls7e_ard_3-1-0_107077_2020-05-23_final
2020-05-23 10:37:11	ga_ls7e_ard_3-1-0_107081_2020-05-23_final
2020-05-26 11:05:06	ga_ls7e_ard_3-1-0_112074_2020-05-26_final
2020-05-26 11:06:41	ga_ls7e_ard_3-1-0_112078_2020-05-26_final
2020-05-28 10:49:50	ga_ls7e_ard_3-1-0_110067_2020-05-28_final
2020-05-28 10:51:25	ga_ls7e_ard_3-1-0_110071_2020-05-28_final
2020-05-28 10:53:01	ga_ls7e_ard_3-1-0_110075_2020-05-28_final
2020-05-28 10:55:25	ga_ls7e_ard_3-1-0_110081_2020-05-28_final
2020-05-30 09:01:40	ga_ls7e_ard_3-1-0_092075_2020-05-29_final
2020-05-30 09:03:16	ga_ls7e_ard_3-1-0_092079_2020-05-29_final
2020-05-30 09:03:39	ga_ls7e_ard_3-1-0_092080_2020-05-29_final
2020-05-30 09:06:03	ga_ls7e_ard_3-1-0_092086_2020-05-29_final
2020-05-30 09:06:51	ga_ls7e_ard_3-1-0_092088_2020-05-29_final
2020-05-30 09:07:15	ga_ls7e_ard_3-1-0_092089_2020-05-29_final
2020-05-30 10:38:57	ga_ls7e_ard_3-1-0_108071_2020-05-30_final
2020-05-30 10:39:21	ga_ls7e_ard_3-1-0_108072_2020-05-30_final
2020-05-30 10:39:45	ga_ls7e_ard_3-1-0_108073_2020-05-30_final
2020-05-30 10:41:20	ga_ls7e_ard_3-1-0_108077_2020-05-30_final
2020-05-30 10:41:44	ga_ls7e_ard_3-1-0_108078_2020-05-30_final
2020-05-30 10:42:56	ga_ls7e_ard_3-1-0_108081_2020-05-30_final
2020-05-30 10:43:44	ga_ls7e_ard_3-1-0_108083_2020-05-30_final
2020-05-31 09:42:28	ga_ls7e_ard_3-1-0_099069_2020-05-31_final
2020-05-31 09:42:52	ga_ls7e_ard_3-1-0_099070_2020-05-31_final
2020-05-31 09:43:16	ga_ls7e_ard_3-1-0_099071_2020-05-31_final
2020-05-31 09:43:40	ga_ls7e_ard_3-1-0_099072_2020-05-31_final
2020-05-31 09:44:04	ga_ls7e_ard_3-1-0_099073_2020-05-31_final
2020-05-31 09:46:04	ga_ls7e_ard_3-1-0_099078_2020-05-31_final
2020-05-31 09:47:40	ga_ls7e_ard_3-1-0_099082_2020-05-31_final
2020-06-01 08:51:59	ga_ls7e_ard_3-1-0_090082_2020-05-31_final
2020-06-01 08:52:47	ga_ls7e_ard_3-1-0_090084_2020-05-31_final
2020-06-01 10:25:17	ga_ls7e_ard_3-1-0_106068_2020-06-01_final
2020-06-01 10:29:40	ga_ls7e_ard_3-1-0_106079_2020-06-01_final
2020-06-01 10:30:28	ga_ls7e_ard_3-1-0_106081_2020-06-01_final
2020-06-01 10:31:16	ga_ls7e_ard_3-1-0_106083_2020-06-01_final
2020-06-02 09:31:12	ga_ls7e_ard_3-1-0_097072_2020-06-02_final
2020-06-02 09:31:36	ga_ls7e_ard_3-1-0_097073_2020-06-02_final
2020-06-02 09:32:00	ga_ls7e_ard_3-1-0_097074_2020-06-02_final
2020-06-02 09:33:59	ga_ls7e_ard_3-1-0_097079_2020-06-02_final
2020-06-02 09:34:23	ga_ls7e_ard_3-1-0_097080_2020-06-02_final
2020-06-02 09:34:47	ga_ls7e_ard_3-1-0_097081_2020-06-02_final
2020-06-02 09:35:11	ga_ls7e_ard_3-1-0_097082_2020-06-02_final
2020-06-03 10:12:48	ga_ls7e_ard_3-1-0_104068_2020-06-03_final
2020-06-03 10:14:24	ga_ls7e_ard_3-1-0_104072_2020-06-03_final
2020-06-03 10:15:12	ga_ls7e_ard_3-1-0_104074_2020-06-03_final
2020-06-03 10:15:36	ga_ls7e_ard_3-1-0_104075_2020-06-03_final
2020-06-03 10:16:00	ga_ls7e_ard_3-1-0_104076_2020-06-03_final
2020-06-03 10:16:47	ga_ls7e_ard_3-1-0_104078_2020-06-03_final
2020-06-03 10:17:59	ga_ls7e_ard_3-1-0_104081_2020-06-03_final
2020-06-04 09:16:44	ga_ls7e_ard_3-1-0_095067_2020-06-03_final
2020-06-04 09:19:07	ga_ls7e_ard_3-1-0_095073_2020-06-03_final
2020-06-04 09:19:55	ga_ls7e_ard_3-1-0_095075_2020-06-03_final
2020-06-04 09:20:43	ga_ls7e_ard_3-1-0_095077_2020-06-03_final
2020-06-04 09:21:55	ga_ls7e_ard_3-1-0_095080_2020-06-03_final
2020-06-04 09:23:07	ga_ls7e_ard_3-1-0_095083_2020-06-03_final
2020-06-04 09:23:31	ga_ls7e_ard_3-1-0_095084_2020-06-03_final
2020-06-04 09:24:18	ga_ls7e_ard_3-1-0_095086_2020-06-03_final
2020-06-04 09:24:42	ga_ls7e_ard_3-1-0_095087_2020-06-03_final
2020-06-04 10:57:36	ga_ls7e_ard_3-1-0_111072_2020-06-04_final
2020-06-04 10:59:12	ga_ls7e_ard_3-1-0_111076_2020-06-04_final
2020-06-04 11:00:00	ga_ls7e_ard_3-1-0_111078_2020-06-04_final
2020-06-04 11:00:48	ga_ls7e_ard_3-1-0_111080_2020-06-04_final
2020-06-04 11:02:23	ga_ls7e_ard_3-1-0_111084_2020-06-04_final
2020-06-05 10:00:20	ga_ls7e_ard_3-1-0_102068_2020-06-05_final
2020-06-05 10:01:08	ga_ls7e_ard_3-1-0_102070_2020-06-05_final
2020-06-05 10:02:19	ga_ls7e_ard_3-1-0_102073_2020-06-05_final
2020-06-05 10:02:43	ga_ls7e_ard_3-1-0_102074_2020-06-05_final
2020-06-05 10:04:43	ga_ls7e_ard_3-1-0_102079_2020-06-05_final
2020-06-05 10:05:07	ga_ls7e_ard_3-1-0_102080_2020-06-05_final
2020-06-06 09:07:03	ga_ls7e_ard_3-1-0_093074_2020-06-05_final
2020-06-06 09:08:38	ga_ls7e_ard_3-1-0_093078_2020-06-05_final
2020-06-06 09:09:02	ga_ls7e_ard_3-1-0_093079_2020-06-05_final
2020-06-06 09:10:38	ga_ls7e_ard_3-1-0_093083_2020-06-05_final
2020-06-06 09:11:02	ga_ls7e_ard_3-1-0_093084_2020-06-05_final
2020-06-06 09:11:26	ga_ls7e_ard_3-1-0_093085_2020-06-05_final
2020-06-06 09:12:14	ga_ls7e_ard_3-1-0_093087_2020-06-05_final
2020-06-06 10:44:44	ga_ls7e_ard_3-1-0_109071_2020-06-06_final
2020-06-06 10:45:08	ga_ls7e_ard_3-1-0_109072_2020-06-06_final
2020-06-06 10:45:55	ga_ls7e_ard_3-1-0_109074_2020-06-06_final
2020-06-06 10:46:19	ga_ls7e_ard_3-1-0_109075_2020-06-06_final
2020-06-06 10:47:07	ga_ls7e_ard_3-1-0_109077_2020-06-06_final
2020-06-06 10:48:19	ga_ls7e_ard_3-1-0_109080_2020-06-06_final
2020-06-06 10:48:43	ga_ls7e_ard_3-1-0_109081_2020-06-06_final
2020-06-06 10:49:31	ga_ls7e_ard_3-1-0_109083_2020-06-06_final
2020-06-07 09:50:15	ga_ls7e_ard_3-1-0_100074_2020-06-07_final
2020-06-07 09:51:03	ga_ls7e_ard_3-1-0_100076_2020-06-07_final
2020-06-07 09:51:50	ga_ls7e_ard_3-1-0_100078_2020-06-07_final
2020-06-07 09:53:50	ga_ls7e_ard_3-1-0_100083_2020-06-07_final
2020-06-08 08:57:22	ga_ls7e_ard_3-1-0_091081_2020-06-07_final
2020-06-08 08:59:21	ga_ls7e_ard_3-1-0_091086_2020-06-07_final
2020-06-08 09:00:09	ga_ls7e_ard_3-1-0_091088_2020-06-07_final
2020-06-08 10:35:03	ga_ls7e_ard_3-1-0_107078_2020-06-08_final
2020-06-08 10:36:14	ga_ls7e_ard_3-1-0_107081_2020-06-08_final
2020-06-09 09:35:23	ga_ls7e_ard_3-1-0_098068_2020-06-09_final
2020-06-09 09:40:10	ga_ls7e_ard_3-1-0_098080_2020-06-09_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