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
2023-04-25 10:46:14	ga_s2am_ard_3-2-1_52HGK_2023-04-25_final.stac-item
2023-04-26 11:51:13	ga_s2am_ard_3-2-1_51LUF_2023-04-26_final.stac-item
2023-04-26 11:52:19	ga_s2am_ard_3-2-1_50KQG_2023-04-26_final.stac-item
2023-04-26 11:52:34	ga_s2am_ard_3-2-1_50KQF_2023-04-26_final.stac-item
2023-04-26 11:52:37	ga_s2am_ard_3-2-1_50KPF_2023-04-26_final.stac-item
2023-04-26 11:52:48	ga_s2am_ard_3-2-1_50KQE_2023-04-26_final.stac-item
2023-04-26 11:53:31	ga_s2am_ard_3-2-1_50KQB_2023-04-26_final.stac-item
2023-04-26 11:53:50	ga_s2am_ard_3-2-1_50KPA_2023-04-26_final.stac-item
2023-04-26 11:54:13	ga_s2am_ard_3-2-1_50KQU_2023-04-26_final.stac-item
2023-04-26 11:54:19	ga_s2am_ard_3-2-1_50KPU_2023-04-26_final.stac-item
2023-04-26 11:55:02	ga_s2am_ard_3-2-1_50JPR_2023-04-26_final.stac-item
2023-04-26 11:55:09	ga_s2am_ard_3-2-1_50JMR_2023-04-26_final.stac-item
2023-04-26 11:55:12	ga_s2am_ard_3-2-1_50JLR_2023-04-26_final.stac-item
2023-04-26 11:55:15	ga_s2am_ard_3-2-1_50JPQ_2023-04-26_final.stac-item
2023-04-26 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2023-04-26_final.stac-item
2023-04-26 11:55:49	ga_s2am_ard_3-2-1_50JNN_2023-04-26_final.stac-item
2023-04-26 11:55:56	ga_s2am_ard_3-2-1_50JLN_2023-04-26_final.stac-item
2023-04-26 11:56:04	ga_s2am_ard_3-2-1_50JNM_2023-04-26_final.stac-item
2023-04-26 11:56:07	ga_s2am_ard_3-2-1_50JMM_2023-04-26_final.stac-item
2023-04-26 11:56:22	ga_s2am_ard_3-2-1_50JML_2023-04-26_final.stac-item
2023-04-26 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2023-04-26_final.stac-item
2023-04-26 11:57:06	ga_s2am_ard_3-2-1_50HMH_2023-04-26_final.stac-item
2023-04-26 11:57:22	ga_s2am_ard_3-2-1_50HLG_2023-04-26_final.stac-item
2023-04-27 11:22:04	ga_s2am_ard_3-2-1_52KCG_2023-04-27_final.stac-item
2023-04-27 11:22:52	ga_s2am_ard_3-2-1_51KZU_2023-04-27_final.stac-item
2023-04-27 11:23:13	ga_s2am_ard_3-2-1_51KXT_2023-04-27_final.stac-item
2023-04-27 11:23:28	ga_s2am_ard_3-2-1_51KXS_2023-04-27_final.stac-item
2023-04-27 11:26:05	ga_s2am_ard_3-2-1_51JUG_2023-04-27_final.stac-item
2023-04-27 11:26:18	ga_s2am_ard_3-2-1_51JUF_2023-04-27_final.stac-item
2023-04-27 11:26:29	ga_s2am_ard_3-2-1_51HVE_2023-04-27_final.stac-item
2023-04-27 11:26:32	ga_s2am_ard_3-2-1_51HUE_2023-04-27_final.stac-item
2023-04-27 11:26:44	ga_s2am_ard_3-2-1_51HVD_2023-04-27_final.stac-item
2023-04-27 11:26:47	ga_s2am_ard_3-2-1_51HXC_2023-04-27_final.stac-item
2023-04-27 11:27:11	ga_s2am_ard_3-2-1_51HUB_2023-04-27_final.stac-item
2023-04-27 11:27:13	ga_s2am_ard_3-2-1_51HTB_2023-04-27_final.stac-item
2023-04-28 10:56:11	ga_s2am_ard_3-2-1_52HGK_2023-04-28_final.stac-item
2023-04-29 12:03:33	ga_s2am_ard_3-2-1_50KNB_2023-04-29_final.stac-item
2023-04-29 12:03:38	ga_s2am_ard_3-2-1_50KMB_2023-04-29_final.stac-item
2023-04-29 12:03:44	ga_s2am_ard_3-2-1_50KKB_2023-04-29_final.stac-item
2023-04-29 12:03:52	ga_s2am_ard_3-2-1_50KMA_2023-04-29_final.stac-item
2023-04-29 12:04:22	ga_s2am_ard_3-2-1_50KMU_2023-04-29_final.stac-item
2023-04-29 12:04:43	ga_s2am_ard_3-2-1_49JHN_2023-04-29_final.stac-item
2023-04-29 12:04:49	ga_s2am_ard_3-2-1_50JMS_2023-04-29_final.stac-item
2023-04-29 12:04:57	ga_s2am_ard_3-2-1_50JKS_2023-04-29_final.stac-item
2023-04-29 12:05:01	ga_s2am_ard_3-2-1_49JGM_2023-04-29_final.stac-item
2023-04-29 12:05:08	ga_s2am_ard_3-2-1_50JLR_2023-04-29_final.stac-item
2023-04-29 12:05:12	ga_s2am_ard_3-2-1_50JKR_2023-04-29_final.stac-item
2023-04-29 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2023-04-29_final.stac-item
2023-04-29 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2023-04-29_final.stac-item
2023-04-29 12:05:41	ga_s2am_ard_3-2-1_50JKP_2023-04-29_final.stac-item
2023-04-29 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2023-04-29_final.stac-item
2023-04-30 11:31:29	ga_s2am_ard_3-2-1_52LBJ_2023-04-30_final.stac-item
2023-04-30 11:33:09	ga_s2am_ard_3-2-1_51KXT_2023-04-30_final.stac-item
2023-04-30 11:33:24	ga_s2am_ard_3-2-1_51KXS_2023-04-30_final.stac-item
2023-04-30 11:33:45	ga_s2am_ard_3-2-1_51KVR_2023-04-30_final.stac-item
2023-04-30 11:34:47	ga_s2am_ard_3-2-1_51JUM_2023-04-30_final.stac-item
2023-04-30 11:35:34	ga_s2am_ard_3-2-1_51JTJ_2023-04-30_final.stac-item
2023-04-30 11:35:48	ga_s2am_ard_3-2-1_51JTH_2023-04-30_final.stac-item
2023-04-30 11:35:56	ga_s2am_ard_3-2-1_51JVG_2023-04-30_final.stac-item
2023-04-30 11:36:05	ga_s2am_ard_3-2-1_50JQM_2023-04-30_final.stac-item
2023-04-30 11:36:23	ga_s2am_ard_3-2-1_51HVE_2023-04-30_final.stac-item
2023-04-30 11:36:29	ga_s2am_ard_3-2-1_51HUE_2023-04-30_final.stac-item
2023-04-30 11:36:34	ga_s2am_ard_3-2-1_50HQK_2023-04-30_final.stac-item
2023-04-30 11:37:03	ga_s2am_ard_3-2-1_50HQH_2023-04-30_final.stac-item
2023-04-30 11:37:07	ga_s2am_ard_3-2-1_50HPH_2023-04-30_final.stac-item
2023-04-30 11:37:17	ga_s2am_ard_3-2-1_50HQG_2023-04-30_final.stac-item
2023-04-30 11:37:21	ga_s2am_ard_3-2-1_50HPG_2023-04-30_final.stac-item
2023-04-30 11:37:26	ga_s2am_ard_3-2-1_50HNG_2023-04-30_final.stac-item
2023-05-09 12:00:36	ga_s2am_ard_3-2-1_50LPP_2023-05-09_nrt.stac-item
2023-05-09 12:00:40	ga_s2am_ard_3-2-1_50LNP_2023-05-09_nrt.stac-item
2023-05-09 12:00:44	ga_s2am_ard_3-2-1_50LMP_2023-05-09_nrt.stac-item
2023-05-09 12:00:51	ga_s2am_ard_3-2-1_50LPN_2023-05-09_nrt.stac-item
2023-05-09 12:00:54	ga_s2am_ard_3-2-1_50LNN_2023-05-09_nrt.stac-item
2023-05-09 12:00:57	ga_s2am_ard_3-2-1_50LMN_2023-05-09_nrt.stac-item
2023-05-09 12:01:02	ga_s2am_ard_3-2-1_50LQM_2023-05-09_nrt.stac-item
2023-05-09 12:01:05	ga_s2am_ard_3-2-1_50LPM_2023-05-09_nrt.stac-item
2023-05-09 12:01:09	ga_s2am_ard_3-2-1_50LNM_2023-05-09_nrt.stac-item
2023-05-09 12:01:12	ga_s2am_ard_3-2-1_50LMM_2023-05-09_nrt.stac-item
2023-05-09 12:01:15	ga_s2am_ard_3-2-1_50LQL_2023-05-09_nrt.stac-item
2023-05-09 12:01:20	ga_s2am_ard_3-2-1_50LPL_2023-05-09_nrt.stac-item
2023-05-09 12:01:23	ga_s2am_ard_3-2-1_50LNL_2023-05-09_nrt.stac-item
2023-05-09 12:01:26	ga_s2am_ard_3-2-1_50LQK_2023-05-09_nrt.stac-item
2023-05-09 12:01:26	ga_s2am_ard_3-2-1_50LML_2023-05-09_nrt.stac-item
2023-05-09 12:01:32	ga_s2am_ard_3-2-1_50LPK_2023-05-09_nrt.stac-item
2023-05-09 12:01:34	ga_s2am_ard_3-2-1_50LNK_2023-05-09_nrt.stac-item
2023-05-09 12:01:36	ga_s2am_ard_3-2-1_50LMK_2023-05-09_nrt.stac-item
2023-05-09 12:02:56	ga_s2am_ard_3-2-1_50KME_2023-05-09_nrt.stac-item
2023-05-09 12:02:58	ga_s2am_ard_3-2-1_50KLE_2023-05-09_nrt.stac-item
2023-05-09 12:03:01	ga_s2am_ard_3-2-1_50KKE_2023-05-09_nrt.stac-item
2023-05-09 12:03:08	ga_s2am_ard_3-2-1_50KMD_2023-05-09_nrt.stac-item
2023-05-09 12:03:11	ga_s2am_ard_3-2-1_50KLD_2023-05-09_nrt.stac-item
2023-05-09 12:03:14	ga_s2am_ard_3-2-1_50KKD_2023-05-09_nrt.stac-item
2023-05-09 12:03:17	ga_s2am_ard_3-2-1_49KHU_2023-05-09_nrt.stac-item
2023-05-09 12:03:30	ga_s2am_ard_3-2-1_49KHT_2023-05-09_nrt.stac-item
2023-05-09 12:05:47	ga_s2am_ard_3-2-1_49JFJ_2023-05-09_nrt.stac-item
2023-05-09 12:06:02	ga_s2am_ard_3-2-1_49JFH_2023-05-09_nrt.stac-item
2023-05-09 12:06:12	ga_s2am_ard_3-2-1_49JGG_2023-05-09_nrt.stac-item
2023-05-09 12:06:16	ga_s2am_ard_3-2-1_49JFG_2023-05-09_nrt.stac-item
2023-05-09 12:06:23	ga_s2am_ard_3-2-1_49JGF_2023-05-09_nrt.stac-item
2023-05-09 12:06:24	ga_s2am_ard_3-2-1_49JFF_2023-05-09_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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