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
2023-12-11 14:13:34	ga_s2am_ard_3-2-1_42FYG_2023-12-11_final.stac-item
2023-12-11 14:13:34	ga_s2am_ard_3-2-1_43FCB_2023-12-11_final.stac-item
2023-12-11 14:13:39	ga_s2am_ard_3-2-1_42FYF_2023-12-11_final.stac-item
2023-12-12 08:41:34	ga_s2am_ard_3-2-1_57FVV_2023-12-11_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 10:11:00	ga_s2am_ard_3-2-1_55LCD_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 10:11:14	ga_s2am_ard_3-2-1_55LCC_2023-12-12_final.stac-item
2023-12-12 10:11:29	ga_s2am_ard_3-2-1_55KCB_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 10:11:51	ga_s2am_ard_3-2-1_54KYF_2023-12-12_final.stac-item
2023-12-12 10:11:58	ga_s2am_ard_3-2-1_55KCV_2023-12-12_final.stac-item
2023-12-12 10:12:02	ga_s2am_ard_3-2-1_55KBV_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 10:12:06	ga_s2am_ard_3-2-1_54KYE_2023-12-12_final.stac-item
2023-12-12 10:12:09	ga_s2am_ard_3-2-1_54KXE_2023-12-12_final.stac-item
2023-12-12 10:12:17	ga_s2am_ard_3-2-1_54KZD_2023-12-12_final.stac-item
2023-12-12 10:12:31	ga_s2am_ard_3-2-1_54KZC_2023-12-12_final.stac-item
2023-12-12 10:12:45	ga_s2am_ard_3-2-1_54KZB_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 10:13:00	ga_s2am_ard_3-2-1_54KZA_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 10:13:14	ga_s2am_ard_3-2-1_55KBQ_2023-12-12_final.stac-item
2023-12-12 10:13:15	ga_s2am_ard_3-2-1_54KZV_2023-12-12_final.stac-item
2023-12-12 10:13:22	ga_s2am_ard_3-2-1_54KXV_2023-12-12_final.stac-item
2023-12-12 10:13:29	ga_s2am_ard_3-2-1_54KZU_2023-12-12_final.stac-item
2023-12-12 10:13:39	ga_s2am_ard_3-2-1_55JBN_2023-12-12_final.stac-item
2023-12-12 10:13:40	ga_s2am_ard_3-2-1_54JZT_2023-12-12_final.stac-item
2023-12-12 10:14:30	ga_s2am_ard_3-2-1_54JYQ_2023-12-12_final.stac-item
2023-12-12 10:15:03	ga_s2am_ard_3-2-1_54JXN_2023-12-12_final.stac-item
2023-12-12 10:15:55	ga_s2am_ard_3-2-1_54HXJ_2023-12-12_final.stac-item
2023-12-12 10:16:05	ga_s2am_ard_3-2-1_54HWJ_2023-12-12_final.stac-item
2023-12-12 10:16:08	ga_s2am_ard_3-2-1_54HVJ_2023-12-12_final.stac-item
2023-12-12 10:16:12	ga_s2am_ard_3-2-1_54HUJ_2023-12-12_final.stac-item
2023-12-12 10:16:19	ga_s2am_ard_3-2-1_54HWH_2023-12-12_final.stac-item
2023-12-12 10:16:23	ga_s2am_ard_3-2-1_54HVH_2023-12-12_final.stac-item
2023-12-12 10:16:26	ga_s2am_ard_3-2-1_54HUH_2023-12-12_final.stac-item
2023-12-12 10:16:34	ga_s2am_ard_3-2-1_54HWG_2023-12-12_final.stac-item
2023-12-12 10:16:37	ga_s2am_ard_3-2-1_54HVG_2023-12-12_final.stac-item
2023-12-12 10:16:41	ga_s2am_ard_3-2-1_54HUG_2023-12-12_final.stac-item
2023-12-12 10:16:44	ga_s2am_ard_3-2-1_54HTG_2023-12-12_final.stac-item
2023-12-12 10:16:47	ga_s2am_ard_3-2-1_53HQB_2023-12-12_final.stac-item
2023-12-12 10:17:21	ga_s2am_ard_3-2-1_54HVD_2023-12-12_final.stac-item
2023-12-12 10:17:25	ga_s2am_ard_3-2-1_54HUD_2023-12-12_final.stac-item
2023-12-12 10:17:28	ga_s2am_ard_3-2-1_54HTD_2023-12-12_nrt.stac-item
2023-12-12 10:17:29	ga_s2am_ard_3-2-1_53HQU_2023-12-12_nrt.stac-item
2023-12-12 10:17:32	ga_s2am_ard_3-2-1_54HVC_2023-12-12_final.stac-item
2023-12-12 10:17:33	ga_s2am_ard_3-2-1_54HUC_2023-12-12_nrt.stac-item
2023-12-12 10:17:34	ga_s2am_ard_3-2-1_53HPU_2023-12-12_nrt.stac-item
2023-12-12 10:17:35	ga_s2am_ard_3-2-1_54HTC_2023-12-12_nrt.stac-item
2023-12-12 10:17:35	ga_s2am_ard_3-2-1_53HQT_2023-12-12_nrt.stac-item
2023-12-12 11:51:26	ga_s2am_ard_3-2-1_51LTE_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 11:51:46	ga_s2am_ard_3-2-1_50LQJ_2023-12-12_nrt.stac-item
2023-12-12 11:51:49	ga_s2am_ard_3-2-1_50LPJ_2023-12-12_nrt.stac-item
2023-12-12 11:52:12	ga_s2am_ard_3-2-1_50KQG_2023-12-12_final.stac-item
2023-12-12 11:52:14	ga_s2am_ard_3-2-1_50KPG_2023-12-12_nrt.stac-item
2023-12-12 11:52:16	ga_s2am_ard_3-2-1_50KRF_2023-12-12_nrt.stac-item
2023-12-12 11:52:16	ga_s2am_ard_3-2-1_51KTA_2023-12-12_nrt.stac-item
2023-12-12 11:52:17	ga_s2am_ard_3-2-1_51KTB_2023-12-12_nrt.stac-item
2023-12-12 11:52:19	ga_s2am_ard_3-2-1_50KQG_2023-12-12_final.stac-item
2023-12-12 11:52:20	ga_s2am_ard_3-2-1_50KPG_2023-12-12_nrt.stac-item
2023-12-12 11:52:24	ga_s2am_ard_3-2-1_50KNG_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 11:52:38	ga_s2am_ard_3-2-1_51KTV_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 11:52:44	ga_s2am_ard_3-2-1_50KQE_2023-12-12_final.stac-item
2023-12-12 11:52:47	ga_s2am_ard_3-2-1_50KPE_2023-12-12_nrt.stac-item
2023-12-12 11:52:50	ga_s2am_ard_3-2-1_50KNE_2023-12-12_nrt.stac-item
2023-12-12 11:52:54	ga_s2am_ard_3-2-1_50KRD_2023-12-12_final.stac-item
2023-12-12 11:53:06	ga_s2am_ard_3-2-1_50KRC_2023-12-12_final.stac-item
2023-12-12 11:53:34	ga_s2am_ard_3-2-1_50KNB_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 11:53:45	ga_s2am_ard_3-2-1_50KPA_2023-12-12_final.stac-item
2023-12-12 11:53:56	ga_s2am_ard_3-2-1_50KQV_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 11:54:29	ga_s2am_ard_3-2-1_50KLU_2023-12-12_final.stac-item
2023-12-12 11:54:40	ga_s2am_ard_3-2-1_50JLT_2023-12-12_final.stac-item
2023-12-12 11:54:53	ga_s2am_ard_3-2-1_50JLS_2023-12-12_final.stac-item
2023-12-12 11:55:52	ga_s2am_ard_3-2-1_50JLN_2023-12-12_final.stac-item
2023-12-12 11:56:24	ga_s2am_ard_3-2-1_50JKL_2023-12-12_final.stac-item
2023-12-12 11:56:28	ga_s2am_ard_3-2-1_49JGF_2023-12-12_nrt.stac-item
2023-12-12 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2023-12-12_final.stac-item
2023-12-12 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2023-12-12_final.stac-item
2023-12-12 11:57:01	ga_s2am_ard_3-2-1_50HMH_2023-12-12_final.stac-item
2023-12-12 11:57:04	ga_s2am_ard_3-2-1_50HLH_2023-12-12_final.stac-item
2023-12-12 11:57:15	ga_s2am_ard_3-2-1_50HMG_2023-12-12_final.stac-item
2023-12-12 11:57:17	ga_s2am_ard_3-2-1_50HLG_2023-12-12_final.stac-item
2023-12-12 11:57:18	ga_s2am_ard_3-2-1_49HFC_2023-12-12_nrt.stac-item
2023-12-12 11:57:19	ga_s2am_ard_3-2-1_50HKG_2023-12-12_final.stac-item
2023-12-12 11:57:20	ga_s2am_ard_3-2-1_49HGB_2023-12-12_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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