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
2023-12-12 10:10:02	ga_s2am_ard_3-2-1_55LCH_2023-12-12_nrt.stac-item
2023-12-12 10:10:05	ga_s2am_ard_3-2-1_55LBH_2023-12-12_nrt.stac-item
2023-12-12 10:10:06	ga_s2am_ard_3-2-1_54LZN_2023-12-12_final.stac-item
2023-12-12 10:10:49	ga_s2am_ard_3-2-1_55LBE_2023-12-12_final.stac-item
2023-12-12 10:10:50	ga_s2am_ard_3-2-1_54LZK_2023-12-12_final.stac-item
2023-12-12 10:11:04	ga_s2am_ard_3-2-1_54LZJ_2023-12-12_final.stac-item
2023-12-12 10:11:08	ga_s2am_ard_3-2-1_54LYJ_2023-12-12_final.stac-item
2023-12-12 10:11:08	ga_s2am_ard_3-2-1_55LDC_2023-12-12_final.stac-item
2023-12-12 10:11:19	ga_s2am_ard_3-2-1_54LZH_2023-12-12_final.stac-item
2023-12-12 10:11:44	ga_s2am_ard_3-2-1_55KCA_2023-12-12_final.stac-item
2023-12-12 10:11:47	ga_s2am_ard_3-2-1_55KBA_2023-12-12_final.stac-item
2023-12-12 10:11:48	ga_s2am_ard_3-2-1_54KZF_2023-12-12_final.stac-item
2023-12-12 10:11:57	ga_s2am_ard_3-2-1_54KXF_2023-12-12_final.stac-item
2023-12-12 10:12:02	ga_s2am_ard_3-2-1_54KZE_2023-12-12_final.stac-item
2023-12-12 10:12:12	ga_s2am_ard_3-2-1_55KCU_2023-12-12_final.stac-item
2023-12-12 10:12:16	ga_s2am_ard_3-2-1_55KBU_2023-12-12_final.stac-item
2023-12-12 10:12:23	ga_s2am_ard_3-2-1_55KCT_2023-12-12_final.stac-item
2023-12-12 10:12:38	ga_s2am_ard_3-2-1_54KXC_2023-12-12_final.stac-item
2023-12-12 10:12:45	ga_s2am_ard_3-2-1_55KBS_2023-12-12_final.stac-item
2023-12-12 10:12:49	ga_s2am_ard_3-2-1_54KYB_2023-12-12_final.stac-item
2023-12-12 10:12:53	ga_s2am_ard_3-2-1_54KXB_2023-12-12_final.stac-item
2023-12-12 10:12:59	ga_s2am_ard_3-2-1_54KWB_2023-12-12_final.stac-item
2023-12-12 10:13:00	ga_s2am_ard_3-2-1_55KBR_2023-12-12_final.stac-item
2023-12-12 10:13:04	ga_s2am_ard_3-2-1_54KYA_2023-12-12_final.stac-item
2023-12-12 10:13:07	ga_s2am_ard_3-2-1_54KXA_2023-12-12_final.stac-item
2023-12-12 10:13:25	ga_s2am_ard_3-2-1_54KWV_2023-12-12_final.stac-item
2023-12-12 10:14:01	ga_s2am_ard_3-2-1_54JYS_2023-12-12_final.stac-item
2023-12-12 10:14:12	ga_s2am_ard_3-2-1_54JVS_2023-12-12_final.stac-item
2023-12-12 10:14:16	ga_s2am_ard_3-2-1_54JYR_2023-12-12_final.stac-item
2023-12-12 10:14:20	ga_s2am_ard_3-2-1_54JXR_2023-12-12_final.stac-item
2023-12-12 10:14:23	ga_s2am_ard_3-2-1_54JWR_2023-12-12_final.stac-item
2023-12-12 10:14:26	ga_s2am_ard_3-2-1_54JVR_2023-12-12_final.stac-item
2023-12-12 10:14:38	ga_s2am_ard_3-2-1_54JWQ_2023-12-12_final.stac-item
2023-12-12 10:14:41	ga_s2am_ard_3-2-1_54JVQ_2023-12-12_final.stac-item
2023-12-12 10:14:51	ga_s2am_ard_3-2-1_54JVP_2023-12-12_final.stac-item
2023-12-12 10:14:52	ga_s2am_ard_3-2-1_54JYN_2023-12-12_final.stac-item
2023-12-12 10:14:53	ga_s2am_ard_3-2-1_54JXN_2023-12-12_final.stac-item
2023-12-12 10:14:54	ga_s2am_ard_3-2-1_54JXP_2023-12-12_final.stac-item
2023-12-12 10:14:56	ga_s2am_ard_3-2-1_54JWP_2023-12-12_final.stac-item
2023-12-12 10:14:58	ga_s2am_ard_3-2-1_54JVP_2023-12-12_final.stac-item
2023-12-12 10:15:21	ga_s2am_ard_3-2-1_54JWM_2023-12-12_final.stac-item
2023-12-12 10:15:25	ga_s2am_ard_3-2-1_54JVM_2023-12-12_final.stac-item
2023-12-12 10:15:36	ga_s2am_ard_3-2-1_54JWL_2023-12-12_final.stac-item
2023-12-12 10:15:39	ga_s2am_ard_3-2-1_54JVL_2023-12-12_final.stac-item
2023-12-12 10:16:16	ga_s2am_ard_3-2-1_54HTJ_2023-12-12_final.stac-item
2023-12-12 10:16:29	ga_s2am_ard_3-2-1_54HTH_2023-12-12_final.stac-item
2023-12-12 10:16:47	ga_s2am_ard_3-2-1_54HWF_2023-12-12_final.stac-item
2023-12-12 10:16:52	ga_s2am_ard_3-2-1_54HVF_2023-12-12_final.stac-item
2023-12-12 10:16:59	ga_s2am_ard_3-2-1_54HWE_2023-12-12_final.stac-item
2023-12-12 10:17:06	ga_s2am_ard_3-2-1_54HVE_2023-12-12_final.stac-item
2023-12-12 10:17:10	ga_s2am_ard_3-2-1_54HUE_2023-12-12_final.stac-item
2023-12-12 10:17:13	ga_s2am_ard_3-2-1_54HTE_2023-12-12_final.stac-item
2023-12-12 10:17:14	ga_s2am_ard_3-2-1_53HQV_2023-12-12_final.stac-item
2023-12-12 11:50:25	ga_s2am_ard_3-2-1_51LUJ_2023-12-12_nrt.stac-item
2023-12-12 11:50:29	ga_s2am_ard_3-2-1_51LVH_2023-12-12_nrt.stac-item
2023-12-12 11:50:33	ga_s2am_ard_3-2-1_50LQP_2023-12-12_nrt.stac-item
2023-12-12 11:50:39	ga_s2am_ard_3-2-1_51LUH_2023-12-12_nrt.stac-item
2023-12-12 11:50:43	ga_s2am_ard_3-2-1_51LTH_2023-12-12_nrt.stac-item
2023-12-12 11:50:45	ga_s2am_ard_3-2-1_50LRN_2023-12-12_nrt.stac-item
2023-12-12 11:50:48	ga_s2am_ard_3-2-1_50LQN_2023-12-12_nrt.stac-item
2023-12-12 11:51:28	ga_s2am_ard_3-2-1_50LRK_2023-12-12_nrt.stac-item
2023-12-12 11:51:31	ga_s2am_ard_3-2-1_50LQK_2023-12-12_nrt.stac-item
2023-12-12 11:51:41	ga_s2am_ard_3-2-1_51LTD_2023-12-12_nrt.stac-item
2023-12-12 11:51:57	ga_s2am_ard_3-2-1_50LRH_2023-12-12_nrt.stac-item
2023-12-12 11:52:25	ga_s2am_ard_3-2-1_51KTA_2023-12-12_nrt.stac-item
2023-12-12 11:52:25	ga_s2am_ard_3-2-1_50KRF_2023-12-12_nrt.stac-item
2023-12-12 11:52:29	ga_s2am_ard_3-2-1_50KQF_2023-12-12_final.stac-item
2023-12-12 11:52:36	ga_s2am_ard_3-2-1_50KNF_2023-12-12_nrt.stac-item
2023-12-12 11:52:40	ga_s2am_ard_3-2-1_50KRE_2023-12-12_nrt.stac-item
2023-12-12 11:52:49	ga_s2am_ard_3-2-1_51KTU_2023-12-12_final.stac-item
2023-12-12 11:52:58	ga_s2am_ard_3-2-1_50KQD_2023-12-12_final.stac-item
2023-12-12 11:53:05	ga_s2am_ard_3-2-1_50KND_2023-12-12_nrt.stac-item
2023-12-12 11:53:16	ga_s2am_ard_3-2-1_50KPC_2023-12-12_final.stac-item
2023-12-12 11:53:20	ga_s2am_ard_3-2-1_50KNC_2023-12-12_final.stac-item
2023-12-12 11:53:26	ga_s2am_ard_3-2-1_50KMC_2023-12-12_final.stac-item
2023-12-12 11:53:27	ga_s2am_ard_3-2-1_50KQB_2023-12-12_final.stac-item
2023-12-12 11:53:31	ga_s2am_ard_3-2-1_50KPB_2023-12-12_final.stac-item
2023-12-12 11:53:38	ga_s2am_ard_3-2-1_50KMB_2023-12-12_final.stac-item
2023-12-12 11:53:42	ga_s2am_ard_3-2-1_50KQA_2023-12-12_final.stac-item
2023-12-12 11:53:45	ga_s2am_ard_3-2-1_50KPA_2023-12-12_final.stac-item
2023-12-12 11:54:00	ga_s2am_ard_3-2-1_50KPV_2023-12-12_final.stac-item
2023-12-12 11:54:03	ga_s2am_ard_3-2-1_50KNV_2023-12-12_final.stac-item
2023-12-12 11:54:07	ga_s2am_ard_3-2-1_50KMV_2023-12-12_final.stac-item
2023-12-12 11:54:47	ga_s2am_ard_3-2-1_50JNS_2023-12-12_final.stac-item
2023-12-12 11:54:50	ga_s2am_ard_3-2-1_50JMS_2023-12-12_final.stac-item
2023-12-12 11:54:58	ga_s2am_ard_3-2-1_50JPR_2023-12-12_final.stac-item
2023-12-12 11:55:01	ga_s2am_ard_3-2-1_50JNR_2023-12-12_final.stac-item
2023-12-12 11:55:05	ga_s2am_ard_3-2-1_50JMR_2023-12-12_final.stac-item
2023-12-12 11:55:08	ga_s2am_ard_3-2-1_50JLR_2023-12-12_final.stac-item
2023-12-12 11:55:16	ga_s2am_ard_3-2-1_50JNQ_2023-12-12_final.stac-item
2023-12-12 11:55:19	ga_s2am_ard_3-2-1_50JMQ_2023-12-12_final.stac-item
2023-12-12 11:55:30	ga_s2am_ard_3-2-1_50JNP_2023-12-12_final.stac-item
2023-12-12 11:55:34	ga_s2am_ard_3-2-1_50JMP_2023-12-12_final.stac-item
2023-12-12 11:55:55	ga_s2am_ard_3-2-1_50JKN_2023-12-12_final.stac-item
2023-12-12 11:55:59	ga_s2am_ard_3-2-1_50JNM_2023-12-12_final.stac-item
2023-12-12 11:56:03	ga_s2am_ard_3-2-1_50JMM_2023-12-12_final.stac-item
2023-12-12 11:56:09	ga_s2am_ard_3-2-1_50JKM_2023-12-12_final.stac-item
2023-12-12 11:56:53	ga_s2am_ard_3-2-1_50HKJ_2023-12-12_final.stac-item
2023-12-12 11:56:55	ga_s2am_ard_3-2-1_49HGD_2023-12-12_nrt.stac-item
2023-12-12 11:57:08	ga_s2am_ard_3-2-1_50HKH_2023-12-12_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

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