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
2023-05-03 10:04:14	ga_s2am_ard_3-2-1_55JDL_2023-05-03_final.stac-item
2023-05-03 10:04:19	ga_s2am_ard_3-2-1_55JCL_2023-05-03_final.stac-item
2023-05-03 10:04:24	ga_s2am_ard_3-2-1_55JDK_2023-05-03_final.stac-item
2023-05-03 10:04:26	ga_s2am_ard_3-2-1_54JYR_2023-05-03_final.stac-item
2023-05-03 10:04:48	ga_s2am_ard_3-2-1_55JCJ_2023-05-03_final.stac-item
2023-05-03 10:04:51	ga_s2am_ard_3-2-1_55JBJ_2023-05-03_final.stac-item
2023-05-03 10:04:54	ga_s2am_ard_3-2-1_54JYP_2023-05-03_final.stac-item
2023-05-03 10:04:58	ga_s2am_ard_3-2-1_54JXP_2023-05-03_final.stac-item
2023-05-03 10:05:06	ga_s2am_ard_3-2-1_55JBH_2023-05-03_final.stac-item
2023-05-03 10:05:09	ga_s2am_ard_3-2-1_54JYN_2023-05-03_final.stac-item
2023-05-03 10:05:17	ga_s2am_ard_3-2-1_55JCG_2023-05-03_final.stac-item
2023-05-03 10:05:21	ga_s2am_ard_3-2-1_55JBG_2023-05-03_final.stac-item
2023-05-03 10:05:23	ga_s2am_ard_3-2-1_54JYM_2023-05-03_final.stac-item
2023-05-03 10:05:33	ga_s2am_ard_3-2-1_54JWM_2023-05-03_final.stac-item
2023-05-03 10:06:46	ga_s2am_ard_3-2-1_55HBA_2023-05-03_final.stac-item
2023-05-03 10:06:50	ga_s2am_ard_3-2-1_54HYF_2023-05-03_final.stac-item
2023-05-03 10:06:54	ga_s2am_ard_3-2-1_54HXF_2023-05-03_final.stac-item
2023-05-03 10:06:56	ga_s2am_ard_3-2-1_55HBV_2023-05-03_final.stac-item
2023-05-03 10:07:03	ga_s2am_ard_3-2-1_54HYE_2023-05-03_final.stac-item
2023-05-03 10:07:08	ga_s2am_ard_3-2-1_54HXE_2023-05-03_final.stac-item
2023-05-03 10:07:12	ga_s2am_ard_3-2-1_54HWE_2023-05-03_final.stac-item
2023-05-03 10:07:16	ga_s2am_ard_3-2-1_54HVE_2023-05-03_final.stac-item
2023-05-03 11:40:43	ga_s2am_ard_3-2-1_51LWH_2023-05-03_nrt.stac-item
2023-05-03 11:40:46	ga_s2am_ard_3-2-1_51LVH_2023-05-03_nrt.stac-item
2023-05-03 11:44:49	ga_s2am_ard_3-2-1_50JQS_2023-05-03_final.stac-item
2023-05-03 11:44:51	ga_s2am_ard_3-2-1_51JUL_2023-05-03_final.stac-item
2023-05-03 11:45:04	ga_s2am_ard_3-2-1_50JQR_2023-05-03_final.stac-item
2023-05-03 11:45:22	ga_s2am_ard_3-2-1_50JNQ_2023-05-03_final.stac-item
2023-05-03 11:45:24	ga_s2am_ard_3-2-1_51JTJ_2023-05-03_final.stac-item
2023-05-03 11:45:25	ga_s2am_ard_3-2-1_50JQP_2023-05-03_final.stac-item
2023-05-03 11:45:25	ga_s2am_ard_3-2-1_50JQQ_2023-05-03_final.stac-item
2023-05-03 11:45:27	ga_s2am_ard_3-2-1_50JPP_2023-05-03_final.stac-item
2023-05-03 11:45:27	ga_s2am_ard_3-2-1_50JPQ_2023-05-03_final.stac-item
2023-05-03 11:45:28	ga_s2am_ard_3-2-1_50JNQ_2023-05-03_final.stac-item
2023-05-03 11:45:33	ga_s2am_ard_3-2-1_50JQP_2023-05-03_final.stac-item
2023-05-03 11:45:36	ga_s2am_ard_3-2-1_50JPP_2023-05-03_final.stac-item
2023-05-03 11:45:40	ga_s2am_ard_3-2-1_50JNP_2023-05-03_final.stac-item
2023-05-03 11:45:44	ga_s2am_ard_3-2-1_51JTH_2023-05-03_final.stac-item
2023-05-03 11:45:47	ga_s2am_ard_3-2-1_50JQN_2023-05-03_final.stac-item
2023-05-03 11:45:54	ga_s2am_ard_3-2-1_50JNN_2023-05-03_final.stac-item
2023-05-03 11:45:57	ga_s2am_ard_3-2-1_51JTG_2023-05-03_final.stac-item
2023-05-03 11:46:01	ga_s2am_ard_3-2-1_50JQM_2023-05-03_final.stac-item
2023-05-03 11:46:05	ga_s2am_ard_3-2-1_50JPM_2023-05-03_final.stac-item
2023-05-03 11:46:09	ga_s2am_ard_3-2-1_50JNM_2023-05-03_final.stac-item
2023-05-03 11:46:13	ga_s2am_ard_3-2-1_50JMM_2023-05-03_final.stac-item
2023-05-03 11:46:38	ga_s2am_ard_3-2-1_50HNK_2023-05-03_final.stac-item
2023-05-03 11:46:41	ga_s2am_ard_3-2-1_50HMK_2023-05-03_final.stac-item
2023-05-03 11:47:07	ga_s2am_ard_3-2-1_50HNH_2023-05-03_final.stac-item
2023-05-03 11:47:10	ga_s2am_ard_3-2-1_50HMH_2023-05-03_final.stac-item
2023-05-03 11:47:29	ga_s2am_ard_3-2-1_50HPF_2023-05-03_nrt.stac-item
2023-05-03 11:47:30	ga_s2am_ard_3-2-1_50HNF_2023-05-03_nrt.stac-item
2023-05-03 11:47:32	ga_s2am_ard_3-2-1_50HMF_2023-05-03_nrt.stac-item
2023-05-03 11:47:33	ga_s2am_ard_3-2-1_50HLF_2023-05-03_nrt.stac-item
2023-05-04 09:32:38	ga_s2am_ard_3-2-1_56KNB_2023-05-04_final.stac-item
2023-05-04 09:32:41	ga_s2am_ard_3-2-1_56KMB_2023-05-04_final.stac-item
2023-05-04 09:32:47	ga_s2am_ard_3-2-1_56KLB_2023-05-04_final.stac-item
2023-05-04 09:34:08	ga_s2am_ard_3-2-1_56JMR_2023-05-04_final.stac-item
2023-05-04 09:34:12	ga_s2am_ard_3-2-1_56JLR_2023-05-04_final.stac-item
2023-05-04 09:34:19	ga_s2am_ard_3-2-1_56JNQ_2023-05-04_final.stac-item
2023-05-04 09:34:23	ga_s2am_ard_3-2-1_56JMQ_2023-05-04_final.stac-item
2023-05-04 09:34:33	ga_s2am_ard_3-2-1_56JNP_2023-05-04_final.stac-item
2023-05-04 09:34:37	ga_s2am_ard_3-2-1_56JMP_2023-05-04_final.stac-item
2023-05-04 09:34:44	ga_s2am_ard_3-2-1_56JKP_2023-05-04_final.stac-item
2023-05-04 09:34:50	ga_s2am_ard_3-2-1_55JGJ_2023-05-04_final.stac-item
2023-05-04 09:34:52	ga_s2am_ard_3-2-1_56JMN_2023-05-04_final.stac-item
2023-05-04 09:34:59	ga_s2am_ard_3-2-1_56JKN_2023-05-04_final.stac-item
2023-05-04 09:35:02	ga_s2am_ard_3-2-1_55JGH_2023-05-04_final.stac-item
2023-05-04 09:35:06	ga_s2am_ard_3-2-1_56JMM_2023-05-04_final.stac-item
2023-05-04 09:35:10	ga_s2am_ard_3-2-1_56JLM_2023-05-04_final.stac-item
2023-05-04 09:35:13	ga_s2am_ard_3-2-1_56JKM_2023-05-04_final.stac-item
2023-05-04 09:35:15	ga_s2am_ard_3-2-1_55JGG_2023-05-04_final.stac-item
2023-05-04 09:35:25	ga_s2am_ard_3-2-1_56JLL_2023-05-04_final.stac-item
2023-05-04 09:35:35	ga_s2am_ard_3-2-1_56HMK_2023-05-04_final.stac-item
2023-05-04 09:35:39	ga_s2am_ard_3-2-1_56HLK_2023-05-04_final.stac-item
2023-05-04 09:35:50	ga_s2am_ard_3-2-1_55HFE_2023-05-04_final.stac-item
2023-05-04 09:36:37	ga_s2am_ard_3-2-1_56HLF_2023-05-04_nrt.stac-item
2023-05-04 09:36:41	ga_s2am_ard_3-2-1_56HKF_2023-05-04_final.stac-item
2023-05-04 09:36:42	ga_s2am_ard_3-2-1_55HGA_2023-05-04_final.stac-item
2023-05-04 09:36:46	ga_s2am_ard_3-2-1_55HFA_2023-05-04_final.stac-item
2023-05-04 09:36:51	ga_s2am_ard_3-2-1_55HEA_2023-05-04_final.stac-item
2023-05-04 09:36:51	ga_s2am_ard_3-2-1_56HLE_2023-05-04_nrt.stac-item
2023-05-04 09:36:55	ga_s2am_ard_3-2-1_56HKE_2023-05-04_final.stac-item
2023-05-04 09:36:57	ga_s2am_ard_3-2-1_55HGV_2023-05-04_final.stac-item
2023-05-04 09:37:00	ga_s2am_ard_3-2-1_55HFV_2023-05-04_final.stac-item
2023-05-04 09:37:04	ga_s2am_ard_3-2-1_56HLD_2023-05-04_nrt.stac-item
2023-05-04 09:37:04	ga_s2am_ard_3-2-1_55HEV_2023-05-04_final.stac-item
2023-05-04 09:37:10	ga_s2am_ard_3-2-1_56HKD_2023-05-04_final.stac-item
2023-05-04 09:37:11	ga_s2am_ard_3-2-1_55HGU_2023-05-04_final.stac-item
2023-05-04 09:37:15	ga_s2am_ard_3-2-1_55HFU_2023-05-04_final.stac-item
2023-05-04 09:37:44	ga_s2am_ard_3-2-1_55HFS_2023-05-04_final.stac-item
2023-05-04 09:38:08	ga_s2am_ard_3-2-1_56GKV_2023-05-04_nrt.stac-item
2023-05-04 09:38:08	ga_s2am_ard_3-2-1_55GGQ_2023-05-04_nrt.stac-item
2023-05-04 09:38:13	ga_s2am_ard_3-2-1_55GFQ_2023-05-04_final.stac-item
2023-05-04 09:38:16	ga_s2am_ard_3-2-1_55GEQ_2023-05-04_final.stac-item
2023-05-04 09:38:19	ga_s2am_ard_3-2-1_55GGP_2023-05-04_nrt.stac-item
2023-05-04 09:38:20	ga_s2am_ard_3-2-1_55GDQ_2023-05-04_final.stac-item
2023-05-04 09:38:20	ga_s2am_ard_3-2-1_56GKU_2023-05-04_nrt.stac-item
2023-05-04 09:38:27	ga_s2am_ard_3-2-1_55GFP_2023-05-04_final.stac-item
2023-05-04 09:38:31	ga_s2am_ard_3-2-1_55GEP_2023-05-04_final.stac-item
2023-05-04 09:38:35	ga_s2am_ard_3-2-1_55GDP_2023-05-04_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

Other products

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