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 11:42:26	ga_s2am_ard_3-2-1_51KVA_2023-01-03_final.stac-item
2023-01-03 11:43:02	ga_s2am_ard_3-2-1_51KTU_2023-01-03_final.stac-item
2023-01-03 11:43:21	ga_s2am_ard_3-2-1_50KQC_2023-01-03_final.stac-item
2023-01-03 11:43:35	ga_s2am_ard_3-2-1_51KVR_2023-01-03_final.stac-item
2023-01-03 11:43:35	ga_s2am_ard_3-2-1_50KQB_2023-01-03_final.stac-item
2023-01-03 11:43:46	ga_s2am_ard_3-2-1_50KRA_2023-01-03_final.stac-item
2023-01-03 11:44:12	ga_s2am_ard_3-2-1_51KUP_2023-01-03_final.stac-item
2023-01-03 11:44:15	ga_s2am_ard_3-2-1_51KTP_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 11:44:48	ga_s2am_ard_3-2-1_50JQS_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 11:46:18	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 11:46:51	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
2023-01-04 11:14:28	ga_s2am_ard_3-2-1_51JYN_2023-01-04_final.stac-item
2023-01-04 11:15:28	ga_s2am_ard_3-2-1_51JXJ_2023-01-04_final.stac-item
2023-01-04 11:16:21	ga_s2am_ard_3-2-1_51HYE_2023-01-04_final.stac-item
2023-01-06 11:53:16	ga_s2am_ard_3-2-1_50KQC_2023-01-06_final.stac-item
2023-01-06 11:53:31	ga_s2am_ard_3-2-1_50KQB_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 11:54:22	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 11:55:23	ga_s2am_ard_3-2-1_50JMQ_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 11:55:55	ga_s2am_ard_3-2-1_50JLN_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 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-01-06_final.stac-item
2023-01-07 11:22:25	ga_s2am_ard_3-2-1_51KYA_2023-01-07_final.stac-item
2023-01-07 11:23:20	ga_s2am_ard_3-2-1_51KZS_2023-01-07_final.stac-item
2023-01-07 11:23:34	ga_s2am_ard_3-2-1_51KZR_2023-01-07_final.stac-item
2023-01-07 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2023-01-07_final.stac-item
2023-01-07 11:25:19	ga_s2am_ard_3-2-1_51JYJ_2023-01-07_final.stac-item
2023-01-07 11:25:23	ga_s2am_ard_3-2-1_51JXJ_2023-01-07_final.stac-item
2023-01-07 11:25:26	ga_s2am_ard_3-2-1_51JWJ_2023-01-07_final.stac-item
2023-01-07 11:25:37	ga_s2am_ard_3-2-1_51JXH_2023-01-07_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 12:03:57	ga_s2am_ard_3-2-1_50KKA_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 12:05:13	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
2023-01-10 11:31:57	ga_s2am_ard_3-2-1_51KZB_2023-01-10_final.stac-item
2023-01-10 11:32:06	ga_s2am_ard_3-2-1_51KYB_2023-01-10_final.stac-item
2023-01-10 11:32:20	ga_s2am_ard_3-2-1_51KYA_2023-01-10_final.stac-item
2023-01-10 11:32:24	ga_s2am_ard_3-2-1_51KXA_2023-01-10_final.stac-item
2023-01-10 11:32:30	ga_s2am_ard_3-2-1_51KVA_2023-01-10_final.stac-item
2023-01-10 11:32:42	ga_s2am_ard_3-2-1_51KWV_2023-01-10_final.stac-item
2023-01-10 11:32:45	ga_s2am_ard_3-2-1_51KVV_2023-01-10_final.stac-item
2023-01-10 11:32:56	ga_s2am_ard_3-2-1_51KWU_2023-01-10_final.stac-item
2023-01-10 11:33:00	ga_s2am_ard_3-2-1_51KVU_2023-01-10_final.stac-item
2023-01-10 11:33:00	ga_s2am_ard_3-2-1_51KYT_2023-01-10_final.stac-item
2023-01-10 11:33:36	ga_s2am_ard_3-2-1_51KXR_2023-01-10_final.stac-item
2023-01-10 11:33:43	ga_s2am_ard_3-2-1_51KVR_2023-01-10_final.stac-item
2023-01-10 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2023-01-10_final.stac-item
2023-01-10 11:33:55	ga_s2am_ard_3-2-1_51KWQ_2023-01-10_final.stac-item
2023-01-10 11:33:58	ga_s2am_ard_3-2-1_51KVQ_2023-01-10_final.stac-item
2023-01-10 11:34:01	ga_s2am_ard_3-2-1_51KUQ_2023-01-10_final.stac-item
2023-01-10 11:34:09	ga_s2am_ard_3-2-1_51KWP_2023-01-10_final.stac-item
2023-01-10 11:34:14	ga_s2am_ard_3-2-1_51JXN_2023-01-10_final.stac-item
2023-01-10 11:34:16	ga_s2am_ard_3-2-1_51KUP_2023-01-10_final.stac-item
2023-01-10 11:34:23	ga_s2am_ard_3-2-1_51JWN_2023-01-10_final.stac-item
2023-01-10 11:34:30	ga_s2am_ard_3-2-1_51JUN_2023-01-10_final.stac-item
2023-01-10 11:34:34	ga_s2am_ard_3-2-1_51JTN_2023-01-10_final.stac-item
2023-01-10 11:34:38	ga_s2am_ard_3-2-1_51JWM_2023-01-10_final.stac-item
2023-01-10 11:34:48	ga_s2am_ard_3-2-1_51JTM_2023-01-10_final.stac-item
2023-01-10 11:35:10	ga_s2am_ard_3-2-1_51JVK_2023-01-10_final.stac-item
2023-01-10 11:35:14	ga_s2am_ard_3-2-1_51JUK_2023-01-10_final.stac-item
2023-01-10 11:35:17	ga_s2am_ard_3-2-1_51JWJ_2023-01-10_final.stac-item
2023-01-10 11:35:25	ga_s2am_ard_3-2-1_51JVJ_2023-01-10_final.stac-item
2023-01-10 11:35:28	ga_s2am_ard_3-2-1_51JUJ_2023-01-10_final.stac-item
2023-01-10 11:35:32	ga_s2am_ard_3-2-1_51JTJ_2023-01-10_final.stac-item
2023-01-10 11:35:43	ga_s2am_ard_3-2-1_51JUH_2023-01-10_final.stac-item
2023-01-10 11:35:46	ga_s2am_ard_3-2-1_51JTH_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 11:36:09	ga_s2am_ard_3-2-1_51JVF_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 11:36:25	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_50HQK_2023-01-10_final.stac-item
2023-01-10 11:36:36	ga_s2am_ard_3-2-1_50HPK_2023-01-10_final.stac-item
2023-01-10 11:36:41	ga_s2am_ard_3-2-1_51HUD_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 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-01-10_final.stac-item
2023-01-10 11:37:01	ga_s2am_ard_3-2-1_50HQH_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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