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
2023-03-05 11:14:34	ga_s2am_ard_3-2-1_51JZM_2023-03-05_final.stac-item
2023-03-05 11:15:38	ga_s2am_ard_3-2-1_51JXH_2023-03-05_final.stac-item
2023-03-05 11:15:44	ga_s2am_ard_3-2-1_51JXH_2023-03-05_final.stac-item
2023-03-05 11:16:19	ga_s2am_ard_3-2-1_51HYE_2023-03-05_final.stac-item
2023-03-05 11:16:33	ga_s2am_ard_3-2-1_51HYD_2023-03-05_final.stac-item
2023-03-05 11:16:37	ga_s2am_ard_3-2-1_51HXD_2023-03-05_final.stac-item
2023-03-05 11:17:04	ga_s2am_ard_3-2-1_51HWB_2023-03-05_final.stac-item
2023-03-07 11:52:30	ga_s2am_ard_3-2-1_50KQF_2023-03-07_final.stac-item
2023-03-07 11:52:33	ga_s2am_ard_3-2-1_50KPF_2023-03-07_final.stac-item
2023-03-07 11:52:45	ga_s2am_ard_3-2-1_50KQE_2023-03-07_final.stac-item
2023-03-07 11:52:50	ga_s2am_ard_3-2-1_51KTU_2023-03-07_final.stac-item
2023-03-07 11:52:55	ga_s2am_ard_3-2-1_50KRD_2023-03-07_final.stac-item
2023-03-07 11:53:35	ga_s2am_ard_3-2-1_50KNB_2023-03-07_final.stac-item
2023-03-07 11:53:50	ga_s2am_ard_3-2-1_50KPA_2023-03-07_final.stac-item
2023-03-07 11:53:57	ga_s2am_ard_3-2-1_50KQV_2023-03-07_final.stac-item
2023-03-07 11:54:04	ga_s2am_ard_3-2-1_50KNV_2023-03-07_final.stac-item
2023-03-07 11:54:15	ga_s2am_ard_3-2-1_50KPU_2023-03-07_final.stac-item
2023-03-07 11:54:18	ga_s2am_ard_3-2-1_50KNU_2023-03-07_final.stac-item
2023-03-07 11:54:22	ga_s2am_ard_3-2-1_50KMU_2023-03-07_final.stac-item
2023-03-07 11:54:29	ga_s2am_ard_3-2-1_50JPT_2023-03-07_final.stac-item
2023-03-07 11:54:29	ga_s2am_ard_3-2-1_50KLU_2023-03-07_final.stac-item
2023-03-07 11:54:40	ga_s2am_ard_3-2-1_50JLT_2023-03-07_final.stac-item
2023-03-07 11:54:54	ga_s2am_ard_3-2-1_50JLS_2023-03-07_final.stac-item
2023-03-07 11:55:16	ga_s2am_ard_3-2-1_50JNQ_2023-03-07_final.stac-item
2023-03-07 11:55:31	ga_s2am_ard_3-2-1_50JNP_2023-03-07_final.stac-item
2023-03-07 11:55:35	ga_s2am_ard_3-2-1_50JMP_2023-03-07_final.stac-item
2023-03-07 11:55:42	ga_s2am_ard_3-2-1_50JKP_2023-03-07_final.stac-item
2023-03-07 11:55:49	ga_s2am_ard_3-2-1_50JMN_2023-03-07_final.stac-item
2023-03-07 11:55:52	ga_s2am_ard_3-2-1_50JLN_2023-03-07_final.stac-item
2023-03-07 11:55:55	ga_s2am_ard_3-2-1_50JKN_2023-03-07_final.stac-item
2023-03-07 11:56:10	ga_s2am_ard_3-2-1_50JKM_2023-03-07_final.stac-item
2023-03-07 11:56:26	ga_s2am_ard_3-2-1_50HNK_2023-03-07_final.stac-item
2023-03-07 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-03-07_final.stac-item
2023-03-07 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-03-07_final.stac-item
2023-03-07 11:57:16	ga_s2am_ard_3-2-1_50HMG_2023-03-07_final.stac-item
2023-03-07 11:57:19	ga_s2am_ard_3-2-1_50HLG_2023-03-07_final.stac-item
2023-03-08 11:24:22	ga_s2am_ard_3-2-1_51JXN_2023-03-08_final.stac-item
2023-03-08 11:24:28	ga_s2am_ard_3-2-1_51JZM_2023-03-08_final.stac-item
2023-03-08 11:25:01	ga_s2am_ard_3-2-1_51JYK_2023-03-08_final.stac-item
2023-03-08 11:25:09	ga_s2am_ard_3-2-1_51JWK_2023-03-08_final.stac-item
2023-03-08 11:25:12	ga_s2am_ard_3-2-1_51JVK_2023-03-08_final.stac-item
2023-03-08 11:25:16	ga_s2am_ard_3-2-1_51JYJ_2023-03-08_final.stac-item
2023-03-08 11:25:26	ga_s2am_ard_3-2-1_51JVJ_2023-03-08_final.stac-item
2023-03-08 11:26:10	ga_s2am_ard_3-2-1_51JVF_2023-03-08_final.stac-item
2023-03-08 11:26:21	ga_s2am_ard_3-2-1_51HWE_2023-03-08_final.stac-item
2023-03-08 11:26:33	ga_s2am_ard_3-2-1_51HWD_2023-03-08_final.stac-item
2023-03-08 11:26:54	ga_s2am_ard_3-2-1_51HVC_2023-03-08_final.stac-item
2023-03-08 11:27:03	ga_s2am_ard_3-2-1_51HWB_2023-03-08_final.stac-item
2023-03-08 11:27:07	ga_s2am_ard_3-2-1_51HUB_2023-03-08_final.stac-item
2023-03-08 11:27:09	ga_s2am_ard_3-2-1_51HTB_2023-03-08_final.stac-item
2023-03-10 12:03:18	ga_s2am_ard_3-2-1_50KMC_2023-03-10_final.stac-item
2023-03-10 12:03:54	ga_s2am_ard_3-2-1_49KHR_2023-03-10_final.stac-item
2023-03-10 12:04:05	ga_s2am_ard_3-2-1_50KLV_2023-03-10_final.stac-item
2023-03-10 12:04:08	ga_s2am_ard_3-2-1_50KKV_2023-03-10_final.stac-item
2023-03-10 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2023-03-10_final.stac-item
2023-03-10 12:04:16	ga_s2am_ard_3-2-1_50KMU_2023-03-10_final.stac-item
2023-03-10 12:04:23	ga_s2am_ard_3-2-1_49KGP_2023-03-10_final.stac-item
2023-03-10 12:04:26	ga_s2am_ard_3-2-1_50JMT_2023-03-10_final.stac-item
2023-03-10 12:04:28	ga_s2am_ard_3-2-1_49KHP_2023-03-10_final.stac-item
2023-03-10 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-03-10_final.stac-item
2023-03-10 12:04:31	ga_s2am_ard_3-2-1_50JMT_2023-03-10_final.stac-item
2023-03-10 12:04:37	ga_s2am_ard_3-2-1_49JHN_2023-03-10_final.stac-item
2023-03-10 12:04:37	ga_s2am_ard_3-2-1_50JKT_2023-03-10_final.stac-item
2023-03-10 12:04:48	ga_s2am_ard_3-2-1_50JLS_2023-03-10_final.stac-item
2023-03-10 12:04:51	ga_s2am_ard_3-2-1_49JHM_2023-03-10_final.stac-item
2023-03-10 12:04:55	ga_s2am_ard_3-2-1_49JGM_2023-03-10_final.stac-item
2023-03-10 12:05:07	ga_s2am_ard_3-2-1_50JKR_2023-03-10_final.stac-item
2023-03-10 12:05:10	ga_s2am_ard_3-2-1_49JGL_2023-03-10_final.stac-item
2023-03-10 12:05:24	ga_s2am_ard_3-2-1_49JGK_2023-03-10_final.stac-item
2023-03-10 12:05:32	ga_s2am_ard_3-2-1_50JLP_2023-03-10_final.stac-item
2023-03-10 12:05:36	ga_s2am_ard_3-2-1_50JKP_2023-03-10_final.stac-item
2023-03-10 12:05:50	ga_s2am_ard_3-2-1_50JKN_2023-03-10_final.stac-item
2023-03-10 12:05:53	ga_s2am_ard_3-2-1_49JGH_2023-03-10_final.stac-item
2023-03-10 12:06:05	ga_s2am_ard_3-2-1_50JKM_2023-03-10_final.stac-item
2023-03-11 11:33:29	ga_s2am_ard_3-2-1_51KUS_2023-03-11_final.stac-item
2023-03-11 11:33:43	ga_s2am_ard_3-2-1_51KUR_2023-03-11_final.stac-item
2023-03-11 11:34:11	ga_s2am_ard_3-2-1_51JXN_2023-03-11_final.stac-item
2023-03-11 11:34:31	ga_s2am_ard_3-2-1_51JTN_2023-03-11_final.stac-item
2023-03-11 11:34:45	ga_s2am_ard_3-2-1_51JTM_2023-03-11_final.stac-item
2023-03-11 11:34:50	ga_s2am_ard_3-2-1_51JWL_2023-03-11_final.stac-item
2023-03-11 11:35:03	ga_s2am_ard_3-2-1_51JWK_2023-03-11_final.stac-item
2023-03-11 11:35:11	ga_s2am_ard_3-2-1_51JUK_2023-03-11_final.stac-item
2023-03-11 11:35:22	ga_s2am_ard_3-2-1_51JVJ_2023-03-11_final.stac-item
2023-03-11 11:35:29	ga_s2am_ard_3-2-1_51JTJ_2023-03-11_final.stac-item
2023-03-11 11:35:32	ga_s2am_ard_3-2-1_50JQP_2023-03-11_final.stac-item
2023-03-11 11:35:40	ga_s2am_ard_3-2-1_51JUH_2023-03-11_final.stac-item
2023-03-11 11:36:06	ga_s2am_ard_3-2-1_51JVF_2023-03-11_final.stac-item
2023-03-11 11:36:15	ga_s2am_ard_3-2-1_50JQL_2023-03-11_final.stac-item
2023-03-11 11:36:22	ga_s2am_ard_3-2-1_50JPL_2023-03-11_final.stac-item
2023-03-11 11:36:29	ga_s2am_ard_3-2-1_50HQK_2023-03-11_final.stac-item
2023-03-11 11:36:33	ga_s2am_ard_3-2-1_50HPK_2023-03-11_final.stac-item
2023-03-11 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2023-03-11_final.stac-item
2023-03-11 11:37:02	ga_s2am_ard_3-2-1_50HPH_2023-03-11_final.stac-item
2023-03-11 11:37:08	ga_s2am_ard_3-2-1_51HUB_2023-03-11_final.stac-item
2023-03-11 11:37:11	ga_s2am_ard_3-2-1_51HTB_2023-03-11_final.stac-item
2023-03-11 11:37:13	ga_s2am_ard_3-2-1_50HQG_2023-03-11_final.stac-item
2023-03-11 11:37:16	ga_s2am_ard_3-2-1_50HPG_2023-03-11_final.stac-item
2023-03-21 11:37:25	ga_s2am_ard_3-2-1_51HTA_2023-03-21_nrt.stac-item
2023-03-21 11:37:28	ga_s2am_ard_3-2-1_50HPF_2023-03-21_nrt.stac-item
2023-03-21 11:37:30	ga_s2am_ard_3-2-1_50HQF_2023-03-21_nrt.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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