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
2023-12-02 10:09:32	ga_s2am_ard_3-2-1_55LBK_2023-12-02_final.stac-item
2023-12-02 10:09:37	ga_s2am_ard_3-2-1_55LEJ_2023-12-02_nrt.stac-item
2023-12-02 10:09:41	ga_s2am_ard_3-2-1_55LDJ_2023-12-02_nrt.stac-item
2023-12-02 10:09:44	ga_s2am_ard_3-2-1_55LCJ_2023-12-02_nrt.stac-item
2023-12-02 10:09:47	ga_s2am_ard_3-2-1_55LBJ_2023-12-02_final.stac-item
2023-12-02 10:09:50	ga_s2am_ard_3-2-1_55LEH_2023-12-02_nrt.stac-item
2023-12-02 10:09:50	ga_s2am_ard_3-2-1_54LZP_2023-12-02_final.stac-item
2023-12-02 10:09:55	ga_s2am_ard_3-2-1_55LDH_2023-12-02_nrt.stac-item
2023-12-02 10:09:59	ga_s2am_ard_3-2-1_55LCH_2023-12-02_nrt.stac-item
2023-12-02 10:10:28	ga_s2am_ard_3-2-1_55LCF_2023-12-02_nrt.stac-item
2023-12-02 10:10:31	ga_s2am_ard_3-2-1_55LBF_2023-12-02_final.stac-item
2023-12-02 10:10:32	ga_s2am_ard_3-2-1_54LZL_2023-12-02_final.stac-item
2023-12-02 10:10:39	ga_s2am_ard_3-2-1_55LDE_2023-12-02_nrt.stac-item
2023-12-02 10:10:42	ga_s2am_ard_3-2-1_55LCE_2023-12-02_final.stac-item
2023-12-02 10:10:45	ga_s2am_ard_3-2-1_55LBE_2023-12-02_final.stac-item
2023-12-02 10:10:47	ga_s2am_ard_3-2-1_54LZK_2023-12-02_final.stac-item
2023-12-02 10:10:52	ga_s2am_ard_3-2-1_54LYK_2023-12-02_final.stac-item
2023-12-02 10:11:00	ga_s2am_ard_3-2-1_55LBD_2023-12-02_final.stac-item
2023-12-02 10:11:01	ga_s2am_ard_3-2-1_54LZJ_2023-12-02_final.stac-item
2023-12-02 10:11:05	ga_s2am_ard_3-2-1_54LYJ_2023-12-02_final.stac-item
2023-12-02 10:11:05	ga_s2am_ard_3-2-1_55LDC_2023-12-02_final.stac-item
2023-12-02 10:11:11	ga_s2am_ard_3-2-1_55LCC_2023-12-02_final.stac-item
2023-12-02 10:11:15	ga_s2am_ard_3-2-1_55KDB_2023-12-02_final.stac-item
2023-12-02 10:11:16	ga_s2am_ard_3-2-1_54LZH_2023-12-02_final.stac-item
2023-12-02 10:12:13	ga_s2am_ard_3-2-1_55KBU_2023-12-02_final.stac-item
2023-12-02 10:12:17	ga_s2am_ard_3-2-1_54KYD_2023-12-02_final.stac-item
2023-12-02 10:12:20	ga_s2am_ard_3-2-1_55KCT_2023-12-02_final.stac-item
2023-12-02 10:12:27	ga_s2am_ard_3-2-1_55KBT_2023-12-02_final.stac-item
2023-12-02 10:12:32	ga_s2am_ard_3-2-1_54KYC_2023-12-02_final.stac-item
2023-12-02 10:12:42	ga_s2am_ard_3-2-1_55KBS_2023-12-02_final.stac-item
2023-12-02 10:12:46	ga_s2am_ard_3-2-1_54KYB_2023-12-02_final.stac-item
2023-12-02 10:14:20	ga_s2am_ard_3-2-1_54JWR_2023-12-02_final.stac-item
2023-12-02 10:14:23	ga_s2am_ard_3-2-1_54JVR_2023-12-02_final.stac-item
2023-12-02 10:14:27	ga_s2am_ard_3-2-1_54JYQ_2023-12-02_final.stac-item
2023-12-02 10:15:14	ga_s2am_ard_3-2-1_54JXM_2023-12-02_final.stac-item
2023-12-02 10:15:24	ga_s2am_ard_3-2-1_54JUM_2023-12-02_final.stac-item
2023-12-02 10:15:33	ga_s2am_ard_3-2-1_54JWL_2023-12-02_final.stac-item
2023-12-02 10:15:36	ga_s2am_ard_3-2-1_54JVL_2023-12-02_final.stac-item
2023-12-02 10:15:47	ga_s2am_ard_3-2-1_54HWK_2023-12-02_final.stac-item
2023-12-02 10:15:50	ga_s2am_ard_3-2-1_54HVK_2023-12-02_final.stac-item
2023-12-02 10:15:52	ga_s2am_ard_3-2-1_54HXJ_2023-12-02_final.stac-item
2023-12-02 10:16:01	ga_s2am_ard_3-2-1_54HWJ_2023-12-02_final.stac-item
2023-12-02 10:16:05	ga_s2am_ard_3-2-1_54HVJ_2023-12-02_final.stac-item
2023-12-02 10:16:38	ga_s2am_ard_3-2-1_54HUG_2023-12-02_final.stac-item
2023-12-02 10:16:44	ga_s2am_ard_3-2-1_54HWF_2023-12-02_final.stac-item
2023-12-02 10:16:49	ga_s2am_ard_3-2-1_54HVF_2023-12-02_final.stac-item
2023-12-02 10:16:55	ga_s2am_ard_3-2-1_54HTF_2023-12-02_final.stac-item
2023-12-02 10:16:56	ga_s2am_ard_3-2-1_53HQA_2023-12-02_final.stac-item
2023-12-02 10:17:17	ga_s2am_ard_3-2-1_54HVD_2023-12-02_final.stac-item
2023-12-02 10:17:21	ga_s2am_ard_3-2-1_54HUD_2023-12-02_final.stac-item
2023-12-02 10:17:24	ga_s2am_ard_3-2-1_54HTD_2023-12-02_nrt.stac-item
2023-12-02 10:17:25	ga_s2am_ard_3-2-1_53HQU_2023-12-02_nrt.stac-item
2023-12-02 10:17:30	ga_s2am_ard_3-2-1_53HPU_2023-12-02_nrt.stac-item
2023-12-02 11:50:16	ga_s2am_ard_3-2-1_51LVJ_2023-12-02_nrt.stac-item
2023-12-02 11:50:22	ga_s2am_ard_3-2-1_51LUJ_2023-12-02_nrt.stac-item
2023-12-02 11:50:25	ga_s2am_ard_3-2-1_51LTJ_2023-12-02_nrt.stac-item
2023-12-02 11:50:26	ga_s2am_ard_3-2-1_51LVH_2023-12-02_nrt.stac-item
2023-12-02 11:50:27	ga_s2am_ard_3-2-1_50LRP_2023-12-02_nrt.stac-item
2023-12-02 11:50:30	ga_s2am_ard_3-2-1_50LQP_2023-12-02_nrt.stac-item
2023-12-02 11:50:36	ga_s2am_ard_3-2-1_51LUH_2023-12-02_nrt.stac-item
2023-12-02 11:51:05	ga_s2am_ard_3-2-1_51LUF_2023-12-02_final.stac-item
2023-12-02 11:51:09	ga_s2am_ard_3-2-1_51LTF_2023-12-02_nrt.stac-item
2023-12-02 11:51:10	ga_s2am_ard_3-2-1_50LRL_2023-12-02_nrt.stac-item
2023-12-02 11:51:14	ga_s2am_ard_3-2-1_50LQL_2023-12-02_nrt.stac-item
2023-12-02 11:51:18	ga_s2am_ard_3-2-1_50LPL_2023-12-02_nrt.stac-item
2023-12-02 11:51:23	ga_s2am_ard_3-2-1_51LTE_2023-12-02_nrt.stac-item
2023-12-02 11:51:25	ga_s2am_ard_3-2-1_50LRK_2023-12-02_nrt.stac-item
2023-12-02 11:51:28	ga_s2am_ard_3-2-1_50LQK_2023-12-02_nrt.stac-item
2023-12-02 11:51:31	ga_s2am_ard_3-2-1_51LUD_2023-12-02_final.stac-item
2023-12-02 11:51:31	ga_s2am_ard_3-2-1_50LPK_2023-12-02_nrt.stac-item
2023-12-02 11:51:37	ga_s2am_ard_3-2-1_51LTD_2023-12-02_nrt.stac-item
2023-12-02 11:51:39	ga_s2am_ard_3-2-1_50LRJ_2023-12-02_nrt.stac-item
2023-12-02 11:51:43	ga_s2am_ard_3-2-1_50LQJ_2023-12-02_nrt.stac-item
2023-12-02 11:51:48	ga_s2am_ard_3-2-1_51LTC_2023-12-02_nrt.stac-item
2023-12-02 11:51:51	ga_s2am_ard_3-2-1_50LQJ_2023-12-02_nrt.stac-item
2023-12-02 11:51:52	ga_s2am_ard_3-2-1_50LPH_2023-12-02_nrt.stac-item
2023-12-02 11:51:55	ga_s2am_ard_3-2-1_51LTC_2023-12-02_nrt.stac-item
2023-12-02 11:51:55	ga_s2am_ard_3-2-1_50LRH_2023-12-02_nrt.stac-item
2023-12-02 11:52:00	ga_s2am_ard_3-2-1_50LPH_2023-12-02_nrt.stac-item
2023-12-02 11:52:33	ga_s2am_ard_3-2-1_50KNF_2023-12-02_nrt.stac-item
2023-12-02 11:52:47	ga_s2am_ard_3-2-1_50KNE_2023-12-02_nrt.stac-item
2023-12-02 11:52:55	ga_s2am_ard_3-2-1_50KQD_2023-12-02_final.stac-item
2023-12-02 11:53:02	ga_s2am_ard_3-2-1_50KND_2023-12-02_nrt.stac-item
2023-12-02 11:53:09	ga_s2am_ard_3-2-1_50KQC_2023-12-02_final.stac-item
2023-12-02 11:53:16	ga_s2am_ard_3-2-1_50KNC_2023-12-02_final.stac-item
2023-12-02 11:53:23	ga_s2am_ard_3-2-1_50KMC_2023-12-02_final.stac-item
2023-12-02 11:53:24	ga_s2am_ard_3-2-1_50KQB_2023-12-02_final.stac-item
2023-12-02 11:54:58	ga_s2am_ard_3-2-1_50JNR_2023-12-02_final.stac-item
2023-12-02 11:55:01	ga_s2am_ard_3-2-1_50JMR_2023-12-02_final.stac-item
2023-12-02 11:55:48	ga_s2am_ard_3-2-1_50JLN_2023-12-02_final.stac-item
2023-12-02 11:56:03	ga_s2am_ard_3-2-1_50JLM_2023-12-02_final.stac-item
2023-12-02 11:56:21	ga_s2am_ard_3-2-1_50JKL_2023-12-02_final.stac-item
2023-12-02 11:56:22	ga_s2am_ard_3-2-1_50HNK_2023-12-02_final.stac-item
2023-12-02 11:56:25	ga_s2am_ard_3-2-1_49JGF_2023-12-02_nrt.stac-item
2023-12-02 11:56:28	ga_s2am_ard_3-2-1_50HMK_2023-12-02_final.stac-item
2023-12-02 11:56:43	ga_s2am_ard_3-2-1_50HMJ_2023-12-02_final.stac-item
2023-12-02 11:56:52	ga_s2am_ard_3-2-1_49HGD_2023-12-02_nrt.stac-item
2023-12-02 11:56:58	ga_s2am_ard_3-2-1_50HMH_2023-12-02_final.stac-item
2023-12-02 11:57:04	ga_s2am_ard_3-2-1_50HKH_2023-12-02_final.stac-item
2023-12-02 11:57:06	ga_s2am_ard_3-2-1_49HGC_2023-12-02_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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