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
2023-11-22 10:09:55	ga_s2am_ard_3-2-1_55LEH_2023-11-22_nrt.stac-item
2023-11-22 10:09:59	ga_s2am_ard_3-2-1_55LDH_2023-11-22_nrt.stac-item
2023-11-22 10:10:06	ga_s2am_ard_3-2-1_55LBH_2023-11-22_nrt.stac-item
2023-11-22 10:10:07	ga_s2am_ard_3-2-1_54LZN_2023-11-22_final.stac-item
2023-11-22 10:11:33	ga_s2am_ard_3-2-1_55KBB_2023-11-22_final.stac-item
2023-11-22 10:11:34	ga_s2am_ard_3-2-1_54KZG_2023-11-22_final.stac-item
2023-11-22 10:11:45	ga_s2am_ard_3-2-1_55KCA_2023-11-22_final.stac-item
2023-11-22 10:12:18	ga_s2am_ard_3-2-1_54KZD_2023-11-22_final.stac-item
2023-11-22 10:12:24	ga_s2am_ard_3-2-1_55KCT_2023-11-22_final.stac-item
2023-11-22 10:12:32	ga_s2am_ard_3-2-1_54KZC_2023-11-22_final.stac-item
2023-11-22 10:12:46	ga_s2am_ard_3-2-1_55KBS_2023-11-22_final.stac-item
2023-11-22 10:12:50	ga_s2am_ard_3-2-1_54KYB_2023-11-22_final.stac-item
2023-11-22 10:13:05	ga_s2am_ard_3-2-1_54KYA_2023-11-22_final.stac-item
2023-11-22 10:13:26	ga_s2am_ard_3-2-1_54KWV_2023-11-22_final.stac-item
2023-11-22 10:13:40	ga_s2am_ard_3-2-1_55JBN_2023-11-22_final.stac-item
2023-11-22 10:13:41	ga_s2am_ard_3-2-1_54JZT_2023-11-22_final.stac-item
2023-11-22 10:13:55	ga_s2am_ard_3-2-1_54JWT_2023-11-22_final.stac-item
2023-11-22 10:14:01	ga_s2am_ard_3-2-1_54JXS_2023-11-22_final.stac-item
2023-11-22 10:14:02	ga_s2am_ard_3-2-1_54JVT_2023-11-22_final.stac-item
2023-11-22 10:14:03	ga_s2am_ard_3-2-1_54JWT_2023-11-22_final.stac-item
2023-11-22 10:14:03	ga_s2am_ard_3-2-1_54JWS_2023-11-22_final.stac-item
2023-11-22 10:14:04	ga_s2am_ard_3-2-1_54JVT_2023-11-22_final.stac-item
2023-11-22 10:14:05	ga_s2am_ard_3-2-1_54JVS_2023-11-22_final.stac-item
2023-11-22 10:14:06	ga_s2am_ard_3-2-1_54JYS_2023-11-22_final.stac-item
2023-11-22 10:14:08	ga_s2am_ard_3-2-1_54JXS_2023-11-22_final.stac-item
2023-11-22 10:14:17	ga_s2am_ard_3-2-1_54JYR_2023-11-22_final.stac-item
2023-11-22 10:14:24	ga_s2am_ard_3-2-1_54JWR_2023-11-22_final.stac-item
2023-11-22 10:14:31	ga_s2am_ard_3-2-1_54JYQ_2023-11-22_final.stac-item
2023-11-22 10:14:35	ga_s2am_ard_3-2-1_54JXQ_2023-11-22_final.stac-item
2023-11-22 10:14:44	ga_s2am_ard_3-2-1_54JYP_2023-11-22_final.stac-item
2023-11-22 10:14:49	ga_s2am_ard_3-2-1_54JXP_2023-11-22_final.stac-item
2023-11-22 10:14:53	ga_s2am_ard_3-2-1_54JWP_2023-11-22_final.stac-item
2023-11-22 10:14:54	ga_s2am_ard_3-2-1_54JYN_2023-11-22_final.stac-item
2023-11-22 10:14:57	ga_s2am_ard_3-2-1_54JVP_2023-11-22_final.stac-item
2023-11-22 10:15:04	ga_s2am_ard_3-2-1_54JUP_2023-11-22_final.stac-item
2023-11-22 10:15:08	ga_s2am_ard_3-2-1_54JWN_2023-11-22_final.stac-item
2023-11-22 10:15:11	ga_s2am_ard_3-2-1_54JVN_2023-11-22_final.stac-item
2023-11-22 10:15:15	ga_s2am_ard_3-2-1_54JUN_2023-11-22_final.stac-item
2023-11-22 10:15:19	ga_s2am_ard_3-2-1_54JXM_2023-11-22_final.stac-item
2023-11-22 10:15:22	ga_s2am_ard_3-2-1_54JWM_2023-11-22_final.stac-item
2023-11-22 10:15:26	ga_s2am_ard_3-2-1_54JVM_2023-11-22_final.stac-item
2023-11-22 10:15:29	ga_s2am_ard_3-2-1_54JUM_2023-11-22_final.stac-item
2023-11-22 10:15:33	ga_s2am_ard_3-2-1_54JXL_2023-11-22_final.stac-item
2023-11-22 10:15:44	ga_s2am_ard_3-2-1_54JUL_2023-11-22_final.stac-item
2023-11-22 10:15:46	ga_s2am_ard_3-2-1_54HXK_2023-11-22_final.stac-item
2023-11-22 10:15:51	ga_s2am_ard_3-2-1_54HWK_2023-11-22_final.stac-item
2023-11-22 10:15:55	ga_s2am_ard_3-2-1_54HVK_2023-11-22_final.stac-item
2023-11-22 10:15:58	ga_s2am_ard_3-2-1_54HUK_2023-11-22_final.stac-item
2023-11-22 10:16:30	ga_s2am_ard_3-2-1_54HTH_2023-11-22_final.stac-item
2023-11-22 10:16:56	ga_s2am_ard_3-2-1_54HUF_2023-11-22_final.stac-item
2023-11-22 10:17:00	ga_s2am_ard_3-2-1_54HWE_2023-11-22_final.stac-item
2023-11-22 10:17:00	ga_s2am_ard_3-2-1_54HTF_2023-11-22_final.stac-item
2023-11-22 10:17:01	ga_s2am_ard_3-2-1_53HQA_2023-11-22_final.stac-item
2023-11-22 10:17:07	ga_s2am_ard_3-2-1_54HVE_2023-11-22_final.stac-item
2023-11-22 10:17:11	ga_s2am_ard_3-2-1_54HUE_2023-11-22_final.stac-item
2023-11-22 10:17:22	ga_s2am_ard_3-2-1_54HVD_2023-11-22_final.stac-item
2023-11-22 11:50:40	ga_s2am_ard_3-2-1_51LUH_2023-11-22_nrt.stac-item
2023-11-22 11:50:44	ga_s2am_ard_3-2-1_51LTH_2023-11-22_nrt.stac-item
2023-11-22 11:50:45	ga_s2am_ard_3-2-1_50LRN_2023-11-22_nrt.stac-item
2023-11-22 11:50:49	ga_s2am_ard_3-2-1_50LQN_2023-11-22_nrt.stac-item
2023-11-22 11:52:11	ga_s2am_ard_3-2-1_51KTB_2023-11-22_nrt.stac-item
2023-11-22 11:52:12	ga_s2am_ard_3-2-1_50KRG_2023-11-22_nrt.stac-item
2023-11-22 11:52:16	ga_s2am_ard_3-2-1_50KQG_2023-11-22_final.stac-item
2023-11-22 11:52:19	ga_s2am_ard_3-2-1_50KPG_2023-11-22_nrt.stac-item
2023-11-22 11:52:34	ga_s2am_ard_3-2-1_50KPF_2023-11-22_final.stac-item
2023-11-22 11:52:55	ga_s2am_ard_3-2-1_50KRD_2023-11-22_final.stac-item
2023-11-22 11:53:06	ga_s2am_ard_3-2-1_50KND_2023-11-22_nrt.stac-item
2023-11-22 11:53:07	ga_s2am_ard_3-2-1_50KRC_2023-11-22_final.stac-item
2023-11-22 11:53:28	ga_s2am_ard_3-2-1_50KQB_2023-11-22_final.stac-item
2023-11-22 11:54:04	ga_s2am_ard_3-2-1_50KNV_2023-11-22_final.stac-item
2023-11-22 11:54:07	ga_s2am_ard_3-2-1_50KMV_2023-11-22_final.stac-item
2023-11-22 11:54:33	ga_s2am_ard_3-2-1_50JNT_2023-11-22_final.stac-item
2023-11-22 11:54:36	ga_s2am_ard_3-2-1_50JMT_2023-11-22_final.stac-item
2023-11-22 11:54:40	ga_s2am_ard_3-2-1_50JLT_2023-11-22_final.stac-item
2023-11-22 11:54:44	ga_s2am_ard_3-2-1_50JPS_2023-11-22_final.stac-item
2023-11-22 11:54:54	ga_s2am_ard_3-2-1_50JLS_2023-11-22_final.stac-item
2023-11-22 11:54:59	ga_s2am_ard_3-2-1_50JPR_2023-11-22_final.stac-item
2023-11-22 11:55:06	ga_s2am_ard_3-2-1_50JMR_2023-11-22_final.stac-item
2023-11-22 11:55:09	ga_s2am_ard_3-2-1_50JLR_2023-11-22_final.stac-item
2023-11-22 11:55:12	ga_s2am_ard_3-2-1_50JPQ_2023-11-22_final.stac-item
2023-11-22 11:55:22	ga_s2am_ard_3-2-1_50JPP_2023-11-22_final.stac-item
2023-11-22 11:55:23	ga_s2am_ard_3-2-1_50JLQ_2023-11-22_final.stac-item
2023-11-22 11:55:31	ga_s2am_ard_3-2-1_50JNP_2023-11-22_final.stac-item
2023-11-22 11:55:35	ga_s2am_ard_3-2-1_50JMP_2023-11-22_final.stac-item
2023-11-22 11:55:38	ga_s2am_ard_3-2-1_50JLP_2023-11-22_final.stac-item
2023-11-22 11:55:42	ga_s2am_ard_3-2-1_50JKP_2023-11-22_final.stac-item
2023-11-22 11:56:00	ga_s2am_ard_3-2-1_50JNM_2023-11-22_final.stac-item
2023-11-22 11:56:04	ga_s2am_ard_3-2-1_50JMM_2023-11-22_final.stac-item
2023-11-22 11:56:07	ga_s2am_ard_3-2-1_50JLM_2023-11-22_final.stac-item
2023-11-22 11:56:10	ga_s2am_ard_3-2-1_50JKM_2023-11-22_final.stac-item
2023-11-22 11:56:18	ga_s2am_ard_3-2-1_50JML_2023-11-22_final.stac-item
2023-11-22 11:56:22	ga_s2am_ard_3-2-1_50JLL_2023-11-22_final.stac-item
2023-11-22 11:56:25	ga_s2am_ard_3-2-1_50JKL_2023-11-22_nrt.stac-item
2023-11-22 11:56:26	ga_s2am_ard_3-2-1_50HNK_2023-11-22_final.stac-item
2023-11-22 11:56:29	ga_s2am_ard_3-2-1_49JGF_2023-11-22_nrt.stac-item
2023-11-22 11:56:33	ga_s2am_ard_3-2-1_50HMK_2023-11-22_final.stac-item
2023-11-22 11:56:36	ga_s2am_ard_3-2-1_50HLK_2023-11-22_final.stac-item
2023-11-22 11:56:39	ga_s2am_ard_3-2-1_50HKK_2023-11-22_nrt.stac-item
2023-11-22 11:56:41	ga_s2am_ard_3-2-1_49HGE_2023-11-22_nrt.stac-item
2023-11-22 11:57:08	ga_s2am_ard_3-2-1_50HKH_2023-11-22_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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