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
2023-01-03 11:44:01	ga_s2am_ard_3-2-1_50KRV_2023-01-03_final.stac-item
2023-01-03 11:44:30	ga_s2am_ard_3-2-1_50JRT_2023-01-03_final.stac-item
2023-01-03 11:44:33	ga_s2am_ard_3-2-1_50JQT_2023-01-03_final.stac-item
2023-01-03 11:44:37	ga_s2am_ard_3-2-1_50JPT_2023-01-03_final.stac-item
2023-01-03 11:44:40	ga_s2am_ard_3-2-1_51JUM_2023-01-03_final.stac-item
2023-01-03 11:44:44	ga_s2am_ard_3-2-1_50JRS_2023-01-03_final.stac-item
2023-01-03 11:44:48	ga_s2am_ard_3-2-1_50JQS_2023-01-03_final.stac-item
2023-01-03 11:44:51	ga_s2am_ard_3-2-1_50JPS_2023-01-03_final.stac-item
2023-01-03 11:45:13	ga_s2am_ard_3-2-1_51JTK_2023-01-03_final.stac-item
2023-01-03 11:45:20	ga_s2am_ard_3-2-1_50JPQ_2023-01-03_final.stac-item
2023-01-03 11:45:35	ga_s2am_ard_3-2-1_50JPP_2023-01-03_final.stac-item
2023-01-03 11:45:49	ga_s2am_ard_3-2-1_50JPN_2023-01-03_final.stac-item
2023-01-03 11:46:04	ga_s2am_ard_3-2-1_50JPM_2023-01-03_final.stac-item
2023-01-03 11:46:07	ga_s2am_ard_3-2-1_50JNM_2023-01-03_final.stac-item
2023-01-03 11:46:14	ga_s2am_ard_3-2-1_50JQL_2023-01-03_final.stac-item
2023-01-03 11:46:18	ga_s2am_ard_3-2-1_50JPL_2023-01-03_final.stac-item
2023-01-03 11:46:25	ga_s2am_ard_3-2-1_50JML_2023-01-03_final.stac-item
2023-01-03 11:46:36	ga_s2am_ard_3-2-1_50HNK_2023-01-03_final.stac-item
2023-01-03 11:46:40	ga_s2am_ard_3-2-1_50HMK_2023-01-03_final.stac-item
2023-01-03 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2023-01-03_final.stac-item
2023-01-03 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-01-03_final.stac-item
2023-01-03 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-01-03_final.stac-item
2023-01-03 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-01-03_final.stac-item
2023-01-03 11:47:05	ga_s2am_ard_3-2-1_50HNH_2023-01-03_final.stac-item
2023-01-03 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-01-03_final.stac-item
2023-01-04 11:16:21	ga_s2am_ard_3-2-1_51HYE_2023-01-04_final.stac-item
2023-01-04 11:16:36	ga_s2am_ard_3-2-1_51HYD_2023-01-04_final.stac-item
2023-01-04 11:16:40	ga_s2am_ard_3-2-1_51HXD_2023-01-04_final.stac-item
2023-01-06 11:53:30	ga_s2am_ard_3-2-1_50KMC_2023-01-06_final.stac-item
2023-01-06 11:53:34	ga_s2am_ard_3-2-1_50KPB_2023-01-06_final.stac-item
2023-01-06 11:53:38	ga_s2am_ard_3-2-1_50KNB_2023-01-06_final.stac-item
2023-01-06 11:53:41	ga_s2am_ard_3-2-1_50KMB_2023-01-06_final.stac-item
2023-01-06 11:53:55	ga_s2am_ard_3-2-1_50KMA_2023-01-06_final.stac-item
2023-01-06 11:54:12	ga_s2am_ard_3-2-1_50KQU_2023-01-06_final.stac-item
2023-01-06 11:54:22	ga_s2am_ard_3-2-1_50JQT_2023-01-06_final.stac-item
2023-01-06 11:54:32	ga_s2am_ard_3-2-1_50JPT_2023-01-06_final.stac-item
2023-01-06 11:54:32	ga_s2am_ard_3-2-1_50KLU_2023-01-06_final.stac-item
2023-01-06 11:54:39	ga_s2am_ard_3-2-1_50JMT_2023-01-06_final.stac-item
2023-01-06 11:54:43	ga_s2am_ard_3-2-1_50JLT_2023-01-06_final.stac-item
2023-01-06 11:54:57	ga_s2am_ard_3-2-1_50JLS_2023-01-06_final.stac-item
2023-01-06 11:55:08	ga_s2am_ard_3-2-1_50JMR_2023-01-06_final.stac-item
2023-01-06 11:55:11	ga_s2am_ard_3-2-1_50JLR_2023-01-06_final.stac-item
2023-01-06 11:55:15	ga_s2am_ard_3-2-1_50JPQ_2023-01-06_final.stac-item
2023-01-06 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2023-01-06_final.stac-item
2023-01-06 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2023-01-06_final.stac-item
2023-01-06 11:55:34	ga_s2am_ard_3-2-1_50JNP_2023-01-06_final.stac-item
2023-01-06 11:55:37	ga_s2am_ard_3-2-1_50JMP_2023-01-06_final.stac-item
2023-01-06 11:55:52	ga_s2am_ard_3-2-1_50JMN_2023-01-06_final.stac-item
2023-01-06 11:55:55	ga_s2am_ard_3-2-1_50JLN_2023-01-06_final.stac-item
2023-01-06 11:56:10	ga_s2am_ard_3-2-1_50JLM_2023-01-06_final.stac-item
2023-01-06 11:56:17	ga_s2am_ard_3-2-1_50JNL_2023-01-06_final.stac-item
2023-01-06 11:56:29	ga_s2am_ard_3-2-1_50HNK_2023-01-06_final.stac-item
2023-01-06 11:56:35	ga_s2am_ard_3-2-1_50HMK_2023-01-06_final.stac-item
2023-01-06 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-01-06_final.stac-item
2023-01-07 11:25:02	ga_s2am_ard_3-2-1_51JVL_2023-01-07_final.stac-item
2023-01-07 11:26:28	ga_s2am_ard_3-2-1_51HVE_2023-01-07_final.stac-item
2023-01-07 11:26:42	ga_s2am_ard_3-2-1_51HVD_2023-01-07_final.stac-item
2023-01-09 12:03:18	ga_s2am_ard_3-2-1_50KNC_2023-01-09_final.stac-item
2023-01-09 12:03:22	ga_s2am_ard_3-2-1_50KMC_2023-01-09_final.stac-item
2023-01-09 12:03:25	ga_s2am_ard_3-2-1_50KLC_2023-01-09_final.stac-item
2023-01-09 12:03:32	ga_s2am_ard_3-2-1_50KNB_2023-01-09_final.stac-item
2023-01-09 12:03:43	ga_s2am_ard_3-2-1_50KKB_2023-01-09_final.stac-item
2023-01-09 12:03:57	ga_s2am_ard_3-2-1_50KKA_2023-01-09_final.stac-item
2023-01-09 12:04:05	ga_s2am_ard_3-2-1_50KMV_2023-01-09_final.stac-item
2023-01-09 12:04:09	ga_s2am_ard_3-2-1_50KLV_2023-01-09_final.stac-item
2023-01-09 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2023-01-09_final.stac-item
2023-01-09 12:04:20	ga_s2am_ard_3-2-1_50KMU_2023-01-09_final.stac-item
2023-01-09 12:04:23	ga_s2am_ard_3-2-1_50KLU_2023-01-09_final.stac-item
2023-01-09 12:04:44	ga_s2am_ard_3-2-1_49JGN_2023-01-09_final.stac-item
2023-01-09 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-01-09_final.stac-item
2023-01-09 12:04:55	ga_s2am_ard_3-2-1_50JKS_2023-01-09_final.stac-item
2023-01-09 12:04:57	ga_s2am_ard_3-2-1_50JMR_2023-01-09_final.stac-item
2023-01-09 12:04:59	ga_s2am_ard_3-2-1_49JGM_2023-01-09_final.stac-item
2023-01-09 12:05:13	ga_s2am_ard_3-2-1_49JGL_2023-01-09_final.stac-item
2023-01-09 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2023-01-09_final.stac-item
2023-01-09 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-01-09_final.stac-item
2023-01-09 12:05:36	ga_s2am_ard_3-2-1_50JLP_2023-01-09_final.stac-item
2023-01-09 12:05:39	ga_s2am_ard_3-2-1_50JKP_2023-01-09_final.stac-item
2023-01-09 12:05:54	ga_s2am_ard_3-2-1_50JKN_2023-01-09_final.stac-item
2023-01-10 11:34:41	ga_s2am_ard_3-2-1_51JVM_2023-01-10_final.stac-item
2023-01-10 11:34:45	ga_s2am_ard_3-2-1_51JUM_2023-01-10_final.stac-item
2023-01-10 11:34:47	ga_s2am_ard_3-2-1_50JRS_2023-01-10_final.stac-item
2023-01-10 11:34:53	ga_s2am_ard_3-2-1_51JWL_2023-01-10_final.stac-item
2023-01-10 11:34:56	ga_s2am_ard_3-2-1_51JVL_2023-01-10_final.stac-item
2023-01-10 11:34:59	ga_s2am_ard_3-2-1_51JUL_2023-01-10_final.stac-item
2023-01-10 11:35:02	ga_s2am_ard_3-2-1_51JTL_2023-01-10_final.stac-item
2023-01-10 11:35:06	ga_s2am_ard_3-2-1_51JWK_2023-01-10_final.stac-item
2023-01-10 11:35:35	ga_s2am_ard_3-2-1_50JQP_2023-01-10_final.stac-item
2023-01-10 11:35:49	ga_s2am_ard_3-2-1_50JQN_2023-01-10_final.stac-item
2023-01-10 11:36:03	ga_s2am_ard_3-2-1_50JQM_2023-01-10_final.stac-item
2023-01-10 11:36:18	ga_s2am_ard_3-2-1_50JQL_2023-01-10_final.stac-item
2023-01-10 11:36:22	ga_s2am_ard_3-2-1_51HVE_2023-01-10_final.stac-item
2023-01-10 11:36:25	ga_s2am_ard_3-2-1_50JPL_2023-01-10_final.stac-item
2023-01-10 11:36:27	ga_s2am_ard_3-2-1_51HUE_2023-01-10_final.stac-item
2023-01-10 11:36:32	ga_s2am_ard_3-2-1_51HVD_2023-01-10_final.stac-item
2023-01-10 11:36:32	ga_s2am_ard_3-2-1_50HQK_2023-01-10_final.stac-item
2023-01-10 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-01-10_final.stac-item
2023-01-10 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-01-10_final.stac-item
2023-01-10 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-01-10_final.stac-item
2023-01-20 11:37:23	ga_s2am_ard_3-2-1_51HTA_2023-01-20_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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