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
2023-08-17 12:06:10	ga_s2am_ard_3-2-1_50JLM_2023-08-17_final.stac-item
2023-08-17 12:06:16	ga_s2am_ard_3-2-1_50JKM_2023-08-17_final.stac-item
2023-08-17 12:06:18	ga_s2am_ard_3-2-1_49JGG_2023-08-17_nrt.stac-item
2023-08-17 12:06:20	ga_s2am_ard_3-2-1_50JLL_2023-08-17_final.stac-item
2023-08-18 09:49:42	ga_s2am_ard_3-2-1_56LMP_2023-08-18_nrt.stac-item
2023-08-18 09:49:46	ga_s2am_ard_3-2-1_56LLP_2023-08-18_nrt.stac-item
2023-08-18 09:49:49	ga_s2am_ard_3-2-1_56LKP_2023-08-18_nrt.stac-item
2023-08-18 09:49:51	ga_s2am_ard_3-2-1_55LHJ_2023-08-18_nrt.stac-item
2023-08-18 09:49:55	ga_s2am_ard_3-2-1_55LGJ_2023-08-18_nrt.stac-item
2023-08-18 09:50:00	ga_s2am_ard_3-2-1_56LLN_2023-08-18_nrt.stac-item
2023-08-18 09:50:05	ga_s2am_ard_3-2-1_56LMM_2023-08-18_nrt.stac-item
2023-08-18 09:50:09	ga_s2am_ard_3-2-1_56LLM_2023-08-18_nrt.stac-item
2023-08-18 09:50:11	ga_s2am_ard_3-2-1_56LKM_2023-08-18_nrt.stac-item
2023-08-18 09:50:11	ga_s2am_ard_3-2-1_55LHG_2023-08-18_nrt.stac-item
2023-08-18 09:51:07	ga_s2am_ard_3-2-1_56LKJ_2023-08-18_nrt.stac-item
2023-08-18 09:51:08	ga_s2am_ard_3-2-1_55LHD_2023-08-18_nrt.stac-item
2023-08-18 09:51:09	ga_s2am_ard_3-2-1_55LGD_2023-08-18_nrt.stac-item
2023-08-18 09:51:11	ga_s2am_ard_3-2-1_55LFD_2023-08-18_nrt.stac-item
2023-08-18 09:51:31	ga_s2am_ard_3-2-1_56KKG_2023-08-18_final.stac-item
2023-08-18 09:51:32	ga_s2am_ard_3-2-1_55KHB_2023-08-18_final.stac-item
2023-08-18 09:51:36	ga_s2am_ard_3-2-1_55KGB_2023-08-18_final.stac-item
2023-08-18 09:51:46	ga_s2am_ard_3-2-1_56KKF_2023-08-18_final.stac-item
2023-08-18 09:51:50	ga_s2am_ard_3-2-1_55KGA_2023-08-18_final.stac-item
2023-08-18 09:51:54	ga_s2am_ard_3-2-1_55KFA_2023-08-18_final.stac-item
2023-08-18 09:52:01	ga_s2am_ard_3-2-1_55KHV_2023-08-18_nrt.stac-item
2023-08-18 09:52:14	ga_s2am_ard_3-2-1_56KKD_2023-08-18_nrt.stac-item
2023-08-18 09:52:19	ga_s2am_ard_3-2-1_55KGU_2023-08-18_final.stac-item
2023-08-18 09:52:23	ga_s2am_ard_3-2-1_55KFU_2023-08-18_final.stac-item
2023-08-18 09:52:26	ga_s2am_ard_3-2-1_55KEU_2023-08-18_final.stac-item
2023-08-18 09:52:37	ga_s2am_ard_3-2-1_55KFT_2023-08-18_final.stac-item
2023-08-18 09:52:41	ga_s2am_ard_3-2-1_55KET_2023-08-18_final.stac-item
2023-08-18 09:53:02	ga_s2am_ard_3-2-1_55KGR_2023-08-18_final.stac-item
2023-08-18 09:53:06	ga_s2am_ard_3-2-1_55KFR_2023-08-18_final.stac-item
2023-08-18 09:53:10	ga_s2am_ard_3-2-1_55KER_2023-08-18_final.stac-item
2023-08-18 09:53:13	ga_s2am_ard_3-2-1_55KDR_2023-08-18_final.stac-item
2023-08-18 09:53:17	ga_s2am_ard_3-2-1_55KGQ_2023-08-18_final.stac-item
2023-08-18 09:53:21	ga_s2am_ard_3-2-1_55KFQ_2023-08-18_final.stac-item
2023-08-18 09:53:31	ga_s2am_ard_3-2-1_55KGP_2023-08-18_final.stac-item
2023-08-18 09:53:39	ga_s2am_ard_3-2-1_55KEP_2023-08-18_final.stac-item
2023-08-18 09:53:43	ga_s2am_ard_3-2-1_55JGN_2023-08-18_final.stac-item
2023-08-18 09:53:50	ga_s2am_ard_3-2-1_55JFN_2023-08-18_final.stac-item
2023-08-18 09:53:53	ga_s2am_ard_3-2-1_55JEN_2023-08-18_final.stac-item
2023-08-18 09:53:57	ga_s2am_ard_3-2-1_55JDN_2023-08-18_final.stac-item
2023-08-18 09:54:04	ga_s2am_ard_3-2-1_55JFM_2023-08-18_final.stac-item
2023-08-18 09:54:11	ga_s2am_ard_3-2-1_55JDM_2023-08-18_final.stac-item
2023-08-18 09:54:15	ga_s2am_ard_3-2-1_55JCM_2023-08-18_final.stac-item
2023-08-18 09:54:52	ga_s2am_ard_3-2-1_55JEJ_2023-08-18_final.stac-item
2023-08-18 09:54:55	ga_s2am_ard_3-2-1_55JDJ_2023-08-18_final.stac-item
2023-08-18 09:55:20	ga_s2am_ard_3-2-1_55JEG_2023-08-18_final.stac-item
2023-08-18 09:55:24	ga_s2am_ard_3-2-1_55JDG_2023-08-18_final.stac-item
2023-08-18 09:55:30	ga_s2am_ard_3-2-1_55JBG_2023-08-18_final.stac-item
2023-08-18 09:55:35	ga_s2am_ard_3-2-1_55JEF_2023-08-18_final.stac-item
2023-08-18 09:56:51	ga_s2am_ard_3-2-1_55HDA_2023-08-18_final.stac-item
2023-08-18 09:57:53	ga_s2am_ard_3-2-1_55HCS_2023-08-18_final.stac-item
2023-08-18 09:57:56	ga_s2am_ard_3-2-1_55HBS_2023-08-18_final.stac-item
2023-08-18 09:58:01	ga_s2am_ard_3-2-1_54HXB_2023-08-18_final.stac-item
2023-08-18 11:30:20	ga_s2am_ard_3-2-1_52LCP_2023-08-18_nrt.stac-item
2023-08-18 11:30:27	ga_s2am_ard_3-2-1_52LBP_2023-08-18_nrt.stac-item
2023-08-18 11:30:29	ga_s2am_ard_3-2-1_51LZJ_2023-08-18_nrt.stac-item
2023-08-18 11:30:32	ga_s2am_ard_3-2-1_51LYJ_2023-08-18_nrt.stac-item
2023-08-18 11:30:35	ga_s2am_ard_3-2-1_51LXJ_2023-08-18_nrt.stac-item
2023-08-18 11:30:50	ga_s2am_ard_3-2-1_51LXH_2023-08-18_nrt.stac-item
2023-08-18 11:31:05	ga_s2am_ard_3-2-1_51LXG_2023-08-18_nrt.stac-item
2023-08-18 11:31:23	ga_s2am_ard_3-2-1_51LWF_2023-08-18_final.stac-item
2023-08-18 11:31:27	ga_s2am_ard_3-2-1_51LZE_2023-08-18_final.stac-item
2023-08-18 11:31:30	ga_s2am_ard_3-2-1_51LYE_2023-08-18_final.stac-item
2023-08-18 11:31:33	ga_s2am_ard_3-2-1_51LXE_2023-08-18_final.stac-item
2023-08-18 11:31:37	ga_s2am_ard_3-2-1_51LWE_2023-08-18_final.stac-item
2023-08-18 11:31:51	ga_s2am_ard_3-2-1_51LWD_2023-08-18_final.stac-item
2023-08-18 11:32:05	ga_s2am_ard_3-2-1_51KZB_2023-08-18_final.stac-item
2023-08-18 11:32:13	ga_s2am_ard_3-2-1_51KYB_2023-08-18_final.stac-item
2023-08-18 11:32:25	ga_s2am_ard_3-2-1_51KVB_2023-08-18_final.stac-item
2023-08-18 11:32:28	ga_s2am_ard_3-2-1_51KYA_2023-08-18_final.stac-item
2023-08-18 11:32:32	ga_s2am_ard_3-2-1_51KXA_2023-08-18_final.stac-item
2023-08-18 11:32:50	ga_s2am_ard_3-2-1_51KWV_2023-08-18_final.stac-item
2023-08-18 11:32:53	ga_s2am_ard_3-2-1_51KVV_2023-08-18_final.stac-item
2023-08-18 11:33:04	ga_s2am_ard_3-2-1_51KWU_2023-08-18_final.stac-item
2023-08-18 11:33:07	ga_s2am_ard_3-2-1_51KVU_2023-08-18_final.stac-item
2023-08-18 11:33:15	ga_s2am_ard_3-2-1_51KXT_2023-08-18_final.stac-item
2023-08-18 11:33:19	ga_s2am_ard_3-2-1_51KWT_2023-08-18_final.stac-item
2023-08-18 11:33:22	ga_s2am_ard_3-2-1_51KVT_2023-08-18_final.stac-item
2023-08-18 11:33:28	ga_s2am_ard_3-2-1_51KUT_2023-08-18_final.stac-item
2023-08-18 11:33:33	ga_s2am_ard_3-2-1_51KWS_2023-08-18_final.stac-item
2023-08-18 11:33:36	ga_s2am_ard_3-2-1_51KVS_2023-08-18_final.stac-item
2023-08-18 11:33:40	ga_s2am_ard_3-2-1_51KUS_2023-08-18_final.stac-item
2023-08-18 11:33:44	ga_s2am_ard_3-2-1_51KXR_2023-08-18_final.stac-item
2023-08-18 11:33:51	ga_s2am_ard_3-2-1_51KVR_2023-08-18_final.stac-item
2023-08-18 11:34:16	ga_s2am_ard_3-2-1_51KWP_2023-08-18_final.stac-item
2023-08-18 11:34:20	ga_s2am_ard_3-2-1_51KVP_2023-08-18_final.stac-item
2023-08-18 11:34:31	ga_s2am_ard_3-2-1_51JWN_2023-08-18_final.stac-item
2023-08-18 11:34:35	ga_s2am_ard_3-2-1_51JVN_2023-08-18_final.stac-item
2023-08-18 11:34:46	ga_s2am_ard_3-2-1_51JWM_2023-08-18_final.stac-item
2023-08-18 11:34:49	ga_s2am_ard_3-2-1_51JVM_2023-08-18_final.stac-item
2023-08-18 11:34:52	ga_s2am_ard_3-2-1_51JUM_2023-08-18_final.stac-item
2023-08-18 11:35:30	ga_s2am_ard_3-2-1_51JWJ_2023-08-18_final.stac-item
2023-08-18 11:35:35	ga_s2am_ard_3-2-1_51JVJ_2023-08-18_final.stac-item
2023-08-18 11:35:37	ga_s2am_ard_3-2-1_51JUJ_2023-08-18_final.stac-item
2023-08-18 11:36:02	ga_s2am_ard_3-2-1_51JVG_2023-08-18_final.stac-item
2023-08-18 11:36:08	ga_s2am_ard_3-2-1_51JTG_2023-08-18_final.stac-item
2023-08-18 11:36:11	ga_s2am_ard_3-2-1_50JQM_2023-08-18_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

Other products

All years