Search ga_s2am_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 (e.g. ‘epsg:32654’) :

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):

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:

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 Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-10-01 12:14:44	ga_s2am_ard_3-2-1_49JFN_2015-10-01_final.stac-item
2015-10-01 12:14:44	ga_s2am_ard_3-2-1_49JGN_2015-10-01_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JLL_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JLM_2015-10-08_final.stac-item
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49KGP_2015-10-21_final.stac-item
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50HQK_2015-10-22_final.stac-item
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50JML_2015-10-22_final.stac-item
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50JMM_2015-10-22_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JLR_2015-11-14_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JMT_2015-11-14_final.stac-item
2015-11-27 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2015-11-27_final.stac-item
2015-11-27 12:03:46	ga_s2am_ard_3-2-1_49KHR_2015-11-27_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_49JGM_2015-11-27_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_49JGN_2015-11-27_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_50JLR_2015-11-27_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGP_2015-11-30_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGQ_2015-11-30_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KHQ_2015-11-30_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KHR_2015-11-30_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGJ_2015-11-30_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49KGP_2015-11-30_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2015-11-30_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JLL_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JLM_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JML_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JMM_2015-12-04_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_50JKQ_2015-12-07_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_50JLQ_2015-12-07_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGJ_2015-12-17_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JKP_2015-12-17_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JKQ_2015-12-17_final.stac-item
2015-12-24 11:56:44	ga_s2am_ard_3-2-1_50JLL_2015-12-24_final.stac-item
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHQ_2015-12-27_final.stac-item
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHR_2015-12-27_final.stac-item
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2015-12-27_final.stac-item
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2015-12-27_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGJ_2015-12-30_final.stac-item
2022-08-19 11:55:25	ga_s2am_ard_3-2-1_50JLR_2022-08-19_final.stac-item
2022-08-22 12:05:35	ga_s2am_ard_3-2-1_50JLQ_2022-08-22_final.stac-item
2022-08-29 11:55:40	ga_s2am_ard_3-2-1_50JLQ_2022-08-29_final.stac-item
2022-09-01 12:04:30	ga_s2am_ard_3-2-1_49KGQ_2022-09-01_final.stac-item
2022-09-04 12:14:06	ga_s2am_ard_3-2-1_49KHR_2022-09-04_final.stac-item
2022-09-04 12:14:20	ga_s2am_ard_3-2-1_49KHQ_2022-09-04_final.stac-item
2022-09-04 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-09-04_final.stac-item
2022-09-04 12:14:39	ga_s2am_ard_3-2-1_49KGP_2022-09-04_final.stac-item
2022-09-04 12:14:57	ga_s2am_ard_3-2-1_49JFN_2022-09-04_final.stac-item
2022-09-11 12:04:24	ga_s2am_ard_3-2-1_49KHQ_2022-09-11_final.stac-item
2022-09-11 12:04:57	ga_s2am_ard_3-2-1_49JGN_2022-09-11_final.stac-item
2022-09-11 12:05:33	ga_s2am_ard_3-2-1_50JLQ_2022-09-11_final.stac-item
2022-09-14 12:14:23	ga_s2am_ard_3-2-1_49KGQ_2022-09-14_final.stac-item
2022-09-14 12:14:51	ga_s2am_ard_3-2-1_49JGN_2022-09-14_final.stac-item
2022-09-18 11:55:21	ga_s2am_ard_3-2-1_50JLR_2022-09-18_final.stac-item
2022-09-21 12:04:07	ga_s2am_ard_3-2-1_49KHR_2022-09-21_final.stac-item
2022-09-21 12:04:21	ga_s2am_ard_3-2-1_49KHQ_2022-09-21_final.stac-item
2022-09-21 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-09-21_final.stac-item
2022-09-21 12:04:53	ga_s2am_ard_3-2-1_49JGN_2022-09-21_final.stac-item
2022-09-21 12:05:16	ga_s2am_ard_3-2-1_50JLR_2022-09-21_final.stac-item
2022-09-24 12:14:48	ga_s2am_ard_3-2-1_49JGN_2022-09-24_final.stac-item
2022-10-01 12:04:36	ga_s2am_ard_3-2-1_49KGP_2022-10-01_final.stac-item
2022-10-01 12:04:53	ga_s2am_ard_3-2-1_49JGN_2022-10-01_final.stac-item
2022-10-01 12:05:51	ga_s2am_ard_3-2-1_49JGJ_2022-10-01_final.stac-item
2022-10-02 11:37:14	ga_s2am_ard_3-2-1_50HPH_2022-10-02_final.stac-item
2022-10-04 12:14:02	ga_s2am_ard_3-2-1_49KHR_2022-10-04_final.stac-item
2022-10-05 11:46:20	ga_s2am_ard_3-2-1_50JMM_2022-10-05_final.stac-item
2022-10-05 11:47:09	ga_s2am_ard_3-2-1_50HPH_2022-10-05_final.stac-item
2022-10-05 11:47:17	ga_s2am_ard_3-2-1_50HMH_2022-10-05_final.stac-item
2022-10-08 11:55:19	ga_s2am_ard_3-2-1_50JLR_2022-10-08_final.stac-item
2022-10-08 11:55:34	ga_s2am_ard_3-2-1_50JLQ_2022-10-08_final.stac-item
2022-10-08 11:55:53	ga_s2am_ard_3-2-1_50JKP_2022-10-08_final.stac-item
2022-10-08 11:56:14	ga_s2am_ard_3-2-1_50JMM_2022-10-08_final.stac-item
2022-10-08 11:56:17	ga_s2am_ard_3-2-1_50JLM_2022-10-08_final.stac-item
2022-10-08 11:56:28	ga_s2am_ard_3-2-1_50JML_2022-10-08_final.stac-item
2022-10-08 11:57:12	ga_s2am_ard_3-2-1_50HMH_2022-10-08_final.stac-item
2022-10-11 12:04:05	ga_s2am_ard_3-2-1_49KHR_2022-10-11_final.stac-item
2022-10-11 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2022-10-11_final.stac-item
2022-10-11 12:04:34	ga_s2am_ard_3-2-1_49KGP_2022-10-11_final.stac-item
2022-10-11 12:04:36	ga_s2am_ard_3-2-1_50JMT_2022-10-11_final.stac-item
2022-10-11 12:04:51	ga_s2am_ard_3-2-1_49JGN_2022-10-11_final.stac-item
2022-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2022-10-11_final.stac-item
2022-10-11 12:05:14	ga_s2am_ard_3-2-1_50JLR_2022-10-11_final.stac-item
2022-10-11 12:05:46	ga_s2am_ard_3-2-1_50JKP_2022-10-11_final.stac-item
2022-10-12 11:36:39	ga_s2am_ard_3-2-1_50HQK_2022-10-12_final.stac-item
2022-10-12 11:37:12	ga_s2am_ard_3-2-1_50HPH_2022-10-12_final.stac-item
2022-10-14 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2022-10-14_final.stac-item
2022-10-14 12:14:17	ga_s2am_ard_3-2-1_49KHQ_2022-10-14_final.stac-item
2022-10-14 12:14:19	ga_s2am_ard_3-2-1_49KGQ_2022-10-14_final.stac-item
2022-10-15 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-10-15_final.stac-item
2022-10-15 11:47:11	ga_s2am_ard_3-2-1_50HNH_2022-10-15_final.stac-item
2022-10-18 11:55:56	ga_s2am_ard_3-2-1_50JMN_2022-10-18_final.stac-item
2022-10-18 11:56:25	ga_s2am_ard_3-2-1_50JML_2022-10-18_final.stac-item
2022-10-21 12:04:01	ga_s2am_ard_3-2-1_49KHR_2022-10-21_final.stac-item
2022-10-21 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2022-10-21_final.stac-item
2022-10-21 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2022-10-21_final.stac-item
2022-10-21 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-10-21_final.stac-item
2022-10-21 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2022-10-21_final.stac-item
2022-10-21 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2022-10-21_final.stac-item
2022-10-22 11:36:36	ga_s2am_ard_3-2-1_50HQK_2022-10-22_final.stac-item
2022-10-24 12:13:57	ga_s2am_ard_3-2-1_49KHR_2022-10-24_final.stac-item
2022-10-25 11:46:29	ga_s2am_ard_3-2-1_50JML_2022-10-25_final.stac-item
2022-10-25 11:47:12	ga_s2am_ard_3-2-1_50HMH_2022-10-25_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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