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
2023-03-29 10:52:42	ga_s2am_ard_3-2-1_52KHD_2023-03-29_final.stac-item
2023-03-29 10:52:57	ga_s2am_ard_3-2-1_52KHC_2023-03-29_final.stac-item
2023-03-29 10:53:12	ga_s2am_ard_3-2-1_52KHB_2023-03-29_final.stac-item
2023-03-29 10:53:19	ga_s2am_ard_3-2-1_53KMR_2023-03-29_final.stac-item
2023-03-29 10:53:26	ga_s2am_ard_3-2-1_52KHA_2023-03-29_final.stac-item
2023-03-29 10:53:55	ga_s2am_ard_3-2-1_53KKP_2023-03-29_final.stac-item
2023-03-29 10:53:55	ga_s2am_ard_3-2-1_52KHU_2023-03-29_final.stac-item
2023-03-29 10:53:59	ga_s2am_ard_3-2-1_52KGU_2023-03-29_final.stac-item
2023-03-29 10:54:06	ga_s2am_ard_3-2-1_53JLN_2023-03-29_final.stac-item
2023-03-29 10:54:08	ga_s2am_ard_3-2-1_53JKN_2023-03-29_final.stac-item
2023-03-29 10:54:13	ga_s2am_ard_3-2-1_53JLM_2023-03-29_final.stac-item
2023-03-29 10:54:13	ga_s2am_ard_3-2-1_53JLN_2023-03-29_final.stac-item
2023-03-29 10:54:14	ga_s2am_ard_3-2-1_53JKN_2023-03-29_final.stac-item
2023-03-29 10:54:16	ga_s2am_ard_3-2-1_52JGT_2023-03-29_final.stac-item
2023-03-29 10:54:19	ga_s2am_ard_3-2-1_52JFT_2023-03-29_final.stac-item
2023-03-29 10:54:21	ga_s2am_ard_3-2-1_53JLM_2023-03-29_final.stac-item
2023-03-29 10:54:24	ga_s2am_ard_3-2-1_52JHS_2023-03-29_final.stac-item
2023-03-29 10:54:31	ga_s2am_ard_3-2-1_52JFS_2023-03-29_final.stac-item
2023-03-29 10:54:39	ga_s2am_ard_3-2-1_53JKL_2023-03-29_final.stac-item
2023-03-29 10:54:42	ga_s2am_ard_3-2-1_52JGR_2023-03-29_final.stac-item
2023-03-29 10:54:50	ga_s2am_ard_3-2-1_53JLK_2023-03-29_final.stac-item
2023-03-29 10:54:56	ga_s2am_ard_3-2-1_52JGQ_2023-03-29_final.stac-item
2023-03-29 10:55:00	ga_s2am_ard_3-2-1_52JFQ_2023-03-29_final.stac-item
2023-03-29 10:55:03	ga_s2am_ard_3-2-1_53JLJ_2023-03-29_final.stac-item
2023-03-29 10:55:11	ga_s2am_ard_3-2-1_52JGP_2023-03-29_final.stac-item
2023-03-29 10:55:13	ga_s2am_ard_3-2-1_53JLH_2023-03-29_final.stac-item
2023-03-29 10:55:14	ga_s2am_ard_3-2-1_52JFP_2023-03-29_final.stac-item
2023-03-29 10:55:22	ga_s2am_ard_3-2-1_53JKH_2023-03-29_final.stac-item
2023-03-29 10:55:25	ga_s2am_ard_3-2-1_52JGN_2023-03-29_final.stac-item
2023-03-29 10:55:43	ga_s2am_ard_3-2-1_52JFM_2023-03-29_final.stac-item
2023-03-29 10:55:47	ga_s2am_ard_3-2-1_52JEM_2023-03-29_final.stac-item
2023-03-29 10:55:52	ga_s2am_ard_3-2-1_53JKF_2023-03-29_final.stac-item
2023-03-29 10:55:58	ga_s2am_ard_3-2-1_52JFL_2023-03-29_final.stac-item
2023-03-29 10:56:06	ga_s2am_ard_3-2-1_53HKE_2023-03-29_final.stac-item
2023-03-29 10:56:16	ga_s2am_ard_3-2-1_52HEK_2023-03-29_final.stac-item
2023-03-29 10:56:19	ga_s2am_ard_3-2-1_52HGJ_2023-03-29_nrt.stac-item
2023-03-29 10:56:21	ga_s2am_ard_3-2-1_52HFJ_2023-03-29_nrt.stac-item
2023-03-29 10:56:23	ga_s2am_ard_3-2-1_52HEJ_2023-03-29_nrt.stac-item
2023-03-30 10:20:27	ga_s2am_ard_3-2-1_54LWM_2023-03-30_final.stac-item
2023-03-30 10:20:31	ga_s2am_ard_3-2-1_54LYM_2023-03-30_final.stac-item
2023-03-30 10:20:32	ga_s2am_ard_3-2-1_54LXM_2023-03-30_final.stac-item
2023-03-30 10:20:33	ga_s2am_ard_3-2-1_54LWM_2023-03-30_final.stac-item
2023-03-30 10:20:47	ga_s2am_ard_3-2-1_54LZK_2023-03-30_final.stac-item
2023-03-30 10:20:51	ga_s2am_ard_3-2-1_54LYK_2023-03-30_final.stac-item
2023-03-30 10:20:58	ga_s2am_ard_3-2-1_54LZJ_2023-03-30_final.stac-item
2023-03-30 10:21:06	ga_s2am_ard_3-2-1_54LYJ_2023-03-30_final.stac-item
2023-03-30 10:21:09	ga_s2am_ard_3-2-1_54LXJ_2023-03-30_final.stac-item
2023-03-30 10:21:24	ga_s2am_ard_3-2-1_54LXH_2023-03-30_final.stac-item
2023-03-30 10:21:27	ga_s2am_ard_3-2-1_54LWH_2023-03-30_final.stac-item
2023-03-30 10:21:31	ga_s2am_ard_3-2-1_54LVH_2023-03-30_final.stac-item
2023-03-30 10:21:45	ga_s2am_ard_3-2-1_54KVG_2023-03-30_final.stac-item
2023-03-30 10:21:56	ga_s2am_ard_3-2-1_54KWF_2023-03-30_final.stac-item
2023-03-30 10:21:59	ga_s2am_ard_3-2-1_54KVF_2023-03-30_final.stac-item
2023-03-30 10:22:07	ga_s2am_ard_3-2-1_54KXE_2023-03-30_final.stac-item
2023-03-30 10:22:11	ga_s2am_ard_3-2-1_54KWE_2023-03-30_final.stac-item
2023-03-30 10:22:14	ga_s2am_ard_3-2-1_54KVE_2023-03-30_final.stac-item
2023-03-30 10:22:21	ga_s2am_ard_3-2-1_54KUE_2023-03-30_final.stac-item
2023-03-30 10:23:09	ga_s2am_ard_3-2-1_54KWA_2023-03-30_final.stac-item
2023-03-30 10:23:12	ga_s2am_ard_3-2-1_54KVA_2023-03-30_final.stac-item
2023-03-30 10:23:48	ga_s2am_ard_3-2-1_54KTU_2023-03-30_final.stac-item
2023-03-30 10:23:48	ga_s2am_ard_3-2-1_53KRP_2023-03-30_final.stac-item
2023-03-30 10:23:59	ga_s2am_ard_3-2-1_54JUT_2023-03-30_final.stac-item
2023-03-30 10:24:02	ga_s2am_ard_3-2-1_54JTT_2023-03-30_final.stac-item
2023-03-30 10:24:14	ga_s2am_ard_3-2-1_54JUS_2023-03-30_final.stac-item
2023-03-30 10:24:17	ga_s2am_ard_3-2-1_53JRM_2023-03-30_final.stac-item
2023-03-30 10:24:31	ga_s2am_ard_3-2-1_54JTR_2023-03-30_final.stac-item
2023-03-30 10:24:43	ga_s2am_ard_3-2-1_54JUQ_2023-03-30_final.stac-item
2023-03-30 10:24:49	ga_s2am_ard_3-2-1_53JQK_2023-03-30_final.stac-item
2023-03-30 10:24:57	ga_s2am_ard_3-2-1_54JUP_2023-03-30_final.stac-item
2023-03-30 10:25:03	ga_s2am_ard_3-2-1_53JQJ_2023-03-30_final.stac-item
2023-03-30 10:25:15	ga_s2am_ard_3-2-1_54JTN_2023-03-30_final.stac-item
2023-03-30 10:25:18	ga_s2am_ard_3-2-1_53JQH_2023-03-30_final.stac-item
2023-03-30 10:25:22	ga_s2am_ard_3-2-1_54JVM_2023-03-30_final.stac-item
2023-03-30 10:25:26	ga_s2am_ard_3-2-1_54JUM_2023-03-30_final.stac-item
2023-03-30 10:25:30	ga_s2am_ard_3-2-1_54JTM_2023-03-30_final.stac-item
2023-03-30 10:25:38	ga_s2am_ard_3-2-1_53JPG_2023-03-30_final.stac-item
2023-03-30 10:25:41	ga_s2am_ard_3-2-1_54JUL_2023-03-30_final.stac-item
2023-03-30 10:25:44	ga_s2am_ard_3-2-1_54JTL_2023-03-30_final.stac-item
2023-03-30 10:25:50	ga_s2am_ard_3-2-1_53JPF_2023-03-30_final.stac-item
2023-03-30 10:25:55	ga_s2am_ard_3-2-1_54HUK_2023-03-30_final.stac-item
2023-03-30 10:25:59	ga_s2am_ard_3-2-1_54HTK_2023-03-30_final.stac-item
2023-03-30 10:26:01	ga_s2am_ard_3-2-1_53HQE_2023-03-30_final.stac-item
2023-03-30 10:26:16	ga_s2am_ard_3-2-1_53HQD_2023-03-30_final.stac-item
2023-03-30 10:26:28	ga_s2am_ard_3-2-1_54HTH_2023-03-30_final.stac-item
2023-03-30 10:26:30	ga_s2am_ard_3-2-1_53HQC_2023-03-30_final.stac-item
2023-03-30 10:26:38	ga_s2am_ard_3-2-1_54HUG_2023-03-30_final.stac-item
2023-03-30 10:26:43	ga_s2am_ard_3-2-1_54HTG_2023-03-30_final.stac-item
2023-03-30 10:26:44	ga_s2am_ard_3-2-1_53HQB_2023-03-30_final.stac-item
2023-03-30 10:26:49	ga_s2am_ard_3-2-1_54HUF_2023-03-30_final.stac-item
2023-03-30 10:26:56	ga_s2am_ard_3-2-1_54HTF_2023-03-30_final.stac-item
2023-03-30 10:26:57	ga_s2am_ard_3-2-1_53HQA_2023-03-30_final.stac-item
2023-03-30 10:26:59	ga_s2am_ard_3-2-1_53HPA_2023-03-30_final.stac-item
2023-03-30 10:27:00	ga_s2am_ard_3-2-1_53HNA_2023-03-30_final.stac-item
2023-03-30 10:27:03	ga_s2am_ard_3-2-1_54HTF_2023-03-30_final.stac-item
2023-03-30 10:27:03	ga_s2am_ard_3-2-1_53HQA_2023-03-30_final.stac-item
2023-03-30 10:27:05	ga_s2am_ard_3-2-1_53HPA_2023-03-30_final.stac-item
2023-03-30 10:27:07	ga_s2am_ard_3-2-1_53HNA_2023-03-30_final.stac-item
2023-03-30 10:27:10	ga_s2am_ard_3-2-1_54HTE_2023-03-30_final.stac-item
2023-03-30 10:27:11	ga_s2am_ard_3-2-1_53HQV_2023-03-30_final.stac-item
2023-03-30 10:27:13	ga_s2am_ard_3-2-1_53HPV_2023-03-30_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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