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
2023-09-03 10:10:03	ga_s2am_ard_3-2-1_54LZP_2023-09-03_final.stac-item
2023-09-03 10:11:29	ga_s2am_ard_3-2-1_54LZH_2023-09-03_final.stac-item
2023-09-03 10:11:32	ga_s2am_ard_3-2-1_54LYH_2023-09-03_final.stac-item
2023-09-03 10:12:01	ga_s2am_ard_3-2-1_54KYF_2023-09-03_final.stac-item
2023-09-03 10:13:17	ga_s2am_ard_3-2-1_54KXA_2023-09-03_final.stac-item
2023-09-03 10:13:57	ga_s2am_ard_3-2-1_54JYT_2023-09-03_final.stac-item
2023-09-03 10:15:02	ga_s2am_ard_3-2-1_54JWP_2023-09-03_final.stac-item
2023-09-03 10:16:51	ga_s2am_ard_3-2-1_54HUG_2023-09-03_final.stac-item
2023-09-03 11:51:43	ga_s2am_ard_3-2-1_51LUD_2023-09-03_final.stac-item
2023-09-03 11:52:43	ga_s2am_ard_3-2-1_50KPF_2023-09-03_final.stac-item
2023-09-03 11:52:59	ga_s2am_ard_3-2-1_51KTU_2023-09-03_final.stac-item
2023-09-03 11:53:04	ga_s2am_ard_3-2-1_50KRD_2023-09-03_final.stac-item
2023-09-03 11:53:08	ga_s2am_ard_3-2-1_50KQD_2023-09-03_final.stac-item
2023-09-03 11:53:12	ga_s2am_ard_3-2-1_50KPD_2023-09-03_final.stac-item
2023-09-03 11:53:26	ga_s2am_ard_3-2-1_50KPC_2023-09-03_final.stac-item
2023-09-03 11:53:44	ga_s2am_ard_3-2-1_50KNB_2023-09-03_final.stac-item
2023-09-03 11:53:55	ga_s2am_ard_3-2-1_50KPA_2023-09-03_final.stac-item
2023-09-03 11:53:59	ga_s2am_ard_3-2-1_50KNA_2023-09-03_final.stac-item
2023-09-03 11:54:13	ga_s2am_ard_3-2-1_50KNV_2023-09-03_final.stac-item
2023-09-03 11:54:17	ga_s2am_ard_3-2-1_50KMV_2023-09-03_final.stac-item
2023-09-03 11:54:24	ga_s2am_ard_3-2-1_50KPU_2023-09-03_final.stac-item
2023-09-03 11:54:42	ga_s2am_ard_3-2-1_50JNT_2023-09-03_final.stac-item
2023-09-03 11:54:46	ga_s2am_ard_3-2-1_50JMT_2023-09-03_final.stac-item
2023-09-03 11:54:53	ga_s2am_ard_3-2-1_50JPS_2023-09-03_final.stac-item
2023-09-03 11:55:11	ga_s2am_ard_3-2-1_50JNR_2023-09-03_final.stac-item
2023-09-03 11:55:18	ga_s2am_ard_3-2-1_50JLR_2023-09-03_final.stac-item
2023-09-03 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2023-09-03_final.stac-item
2023-09-03 11:55:33	ga_s2am_ard_3-2-1_50JLQ_2023-09-03_final.stac-item
2023-09-03 11:55:55	ga_s2am_ard_3-2-1_50JNN_2023-09-03_final.stac-item
2023-09-03 11:55:58	ga_s2am_ard_3-2-1_50JMN_2023-09-03_final.stac-item
2023-09-03 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-09-03_final.stac-item
2023-09-03 11:56:13	ga_s2am_ard_3-2-1_50JMM_2023-09-03_final.stac-item
2023-09-03 11:56:23	ga_s2am_ard_3-2-1_50JNL_2023-09-03_final.stac-item
2023-09-03 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-09-03_final.stac-item
2023-09-03 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2023-09-03_final.stac-item
2023-09-03 11:57:03	ga_s2am_ard_3-2-1_50HMJ_2023-09-03_final.stac-item
2023-09-03 11:57:05	ga_s2am_ard_3-2-1_50HLJ_2023-09-03_final.stac-item
2023-09-04 09:45:42	ga_s2am_ard_3-2-1_55JDF_2023-09-04_final.stac-item
2023-09-04 09:46:22	ga_s2am_ard_3-2-1_55HEC_2023-09-04_final.stac-item
2023-09-04 09:46:33	ga_s2am_ard_3-2-1_55HCC_2023-09-04_final.stac-item
2023-09-04 09:46:46	ga_s2am_ard_3-2-1_55HFA_2023-09-04_final.stac-item
2023-09-04 09:46:53	ga_s2am_ard_3-2-1_55HFA_2023-09-04_final.stac-item
2023-09-04 09:47:05	ga_s2am_ard_3-2-1_55HEV_2023-09-04_final.stac-item
2023-09-04 09:47:27	ga_s2am_ard_3-2-1_55HCU_2023-09-04_final.stac-item
2023-09-04 09:47:38	ga_s2am_ard_3-2-1_55HDT_2023-09-04_final.stac-item
2023-09-04 09:47:45	ga_s2am_ard_3-2-1_55HBT_2023-09-04_final.stac-item
2023-09-04 09:48:00	ga_s2am_ard_3-2-1_54HYB_2023-09-04_final.stac-item
2023-09-04 09:48:11	ga_s2am_ard_3-2-1_55GCR_2023-09-04_final.stac-item
2023-09-04 09:48:17	ga_s2am_ard_3-2-1_55GEQ_2023-09-04_final.stac-item
2023-09-04 09:48:21	ga_s2am_ard_3-2-1_55GDQ_2023-09-04_final.stac-item
2023-09-04 11:21:29	ga_s2am_ard_3-2-1_52LBK_2023-09-04_final.stac-item
2023-09-04 11:21:31	ga_s2am_ard_3-2-1_51LZE_2023-09-04_final.stac-item
2023-09-04 11:21:59	ga_s2am_ard_3-2-1_51LYC_2023-09-04_final.stac-item
2023-09-04 11:22:47	ga_s2am_ard_3-2-1_51KYV_2023-09-04_final.stac-item
2023-09-04 11:22:58	ga_s2am_ard_3-2-1_51KZU_2023-09-04_final.stac-item
2023-09-04 11:23:01	ga_s2am_ard_3-2-1_51KYU_2023-09-04_final.stac-item
2023-09-04 11:23:11	ga_s2am_ard_3-2-1_52KBC_2023-09-04_final.stac-item
2023-09-04 11:23:12	ga_s2am_ard_3-2-1_51KZT_2023-09-04_final.stac-item
2023-09-04 11:23:33	ga_s2am_ard_3-2-1_51KXS_2023-09-04_final.stac-item
2023-09-04 11:23:44	ga_s2am_ard_3-2-1_51KYR_2023-09-04_final.stac-item
2023-09-04 11:23:55	ga_s2am_ard_3-2-1_52KBV_2023-09-04_final.stac-item
2023-09-04 11:24:13	ga_s2am_ard_3-2-1_51KYP_2023-09-04_final.stac-item
2023-09-04 11:24:28	ga_s2am_ard_3-2-1_51JYN_2023-09-04_final.stac-item
2023-09-04 11:24:37	ga_s2am_ard_3-2-1_51JZM_2023-09-04_final.stac-item
2023-09-04 11:24:46	ga_s2am_ard_3-2-1_51JXM_2023-09-04_final.stac-item
2023-09-04 11:25:00	ga_s2am_ard_3-2-1_51JXL_2023-09-04_final.stac-item
2023-09-04 11:25:15	ga_s2am_ard_3-2-1_51JXK_2023-09-04_final.stac-item
2023-09-04 11:25:39	ga_s2am_ard_3-2-1_51JYH_2023-09-04_final.stac-item
2023-09-04 11:25:50	ga_s2am_ard_3-2-1_51JYG_2023-09-04_final.stac-item
2023-09-04 11:25:51	ga_s2am_ard_3-2-1_51JVH_2023-09-04_final.stac-item
2023-09-04 11:26:02	ga_s2am_ard_3-2-1_51JWG_2023-09-04_final.stac-item
2023-09-04 11:26:05	ga_s2am_ard_3-2-1_51JVG_2023-09-04_final.stac-item
2023-09-04 11:26:31	ga_s2am_ard_3-2-1_51HWE_2023-09-04_final.stac-item
2023-09-04 11:26:52	ga_s2am_ard_3-2-1_51HUD_2023-09-04_final.stac-item
2023-09-13 10:17:44	ga_s2am_ard_3-2-1_53HQT_2023-09-13_nrt.stac-item
2023-09-13 11:50:28	ga_s2am_ard_3-2-1_51LVJ_2023-09-13_nrt.stac-item
2023-09-13 11:52:20	ga_s2am_ard_3-2-1_50KRG_2023-09-13_nrt.stac-item
2023-09-13 11:52:28	ga_s2am_ard_3-2-1_50KPG_2023-09-13_nrt.stac-item
2023-09-13 11:52:35	ga_s2am_ard_3-2-1_50KRF_2023-09-13_nrt.stac-item
2023-09-13 11:52:47	ga_s2am_ard_3-2-1_51KTV_2023-09-13_nrt.stac-item
2023-09-13 11:52:49	ga_s2am_ard_3-2-1_50KRE_2023-09-13_nrt.stac-item
2023-09-13 11:52:57	ga_s2am_ard_3-2-1_50KPE_2023-09-13_nrt.stac-item
2023-09-13 11:56:33	ga_s2am_ard_3-2-1_50JKL_2023-09-13_nrt.stac-item
2023-09-13 11:56:48	ga_s2am_ard_3-2-1_50HKK_2023-09-13_nrt.stac-item
2023-09-13 11:56:50	ga_s2am_ard_3-2-1_49HGE_2023-09-13_nrt.stac-item
2023-09-13 11:56:59	ga_s2am_ard_3-2-1_50HKJ_2023-09-13_nrt.stac-item
2023-09-13 11:57:00	ga_s2am_ard_3-2-1_49HGD_2023-09-13_nrt.stac-item
2023-09-13 11:57:06	ga_s2am_ard_3-2-1_50HKJ_2023-09-13_nrt.stac-item
2023-09-13 11:57:07	ga_s2am_ard_3-2-1_49HGD_2023-09-13_nrt.stac-item
2023-09-13 11:57:17	ga_s2am_ard_3-2-1_50HKH_2023-09-13_nrt.stac-item
2023-09-13 11:57:19	ga_s2am_ard_3-2-1_49HGC_2023-09-13_nrt.stac-item
2023-09-13 11:57:27	ga_s2am_ard_3-2-1_49HFC_2023-09-13_nrt.stac-item
2023-09-13 11:57:28	ga_s2am_ard_3-2-1_50HKG_2023-09-13_nrt.stac-item
2023-09-13 11:57:29	ga_s2am_ard_3-2-1_49HGB_2023-09-13_nrt.stac-item
2023-09-13 11:57:31	ga_s2am_ard_3-2-1_49HFB_2023-09-13_nrt.stac-item
2023-09-13 11:57:32	ga_s2am_ard_3-2-1_50HMF_2023-09-13_nrt.stac-item
2023-09-14 09:48:42	ga_s2am_ard_3-2-1_55GBP_2023-09-14_nrt.stac-item
2023-09-14 09:48:47	ga_s2am_ard_3-2-1_54GXU_2023-09-14_nrt.stac-item
2023-09-14 09:48:59	ga_s2am_ard_3-2-1_54GXT_2023-09-14_nrt.stac-item
2023-09-14 09:49:06	ga_s2am_ard_3-2-1_54GXS_2023-09-14_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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