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
2023-11-18 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-11-18_final.stac-item
2023-11-18 12:15:12	ga_s2am_ard_3-2-1_49JFL_2023-11-18_nrt.stac-item
2023-11-19 08:24:23	ga_s2am_ard_3-2-1_59JKH_2023-11-18_final.stac-item
2023-11-19 08:24:24	ga_s2am_ard_3-2-1_58JGN_2023-11-18_final.stac-item
2023-11-19 10:00:06	ga_s2am_ard_3-2-1_55LDH_2023-11-19_nrt.stac-item
2023-11-19 10:00:49	ga_s2am_ard_3-2-1_55LGD_2023-11-19_nrt.stac-item
2023-11-19 10:01:11	ga_s2am_ard_3-2-1_55LFC_2023-11-19_final.stac-item
2023-11-19 10:01:15	ga_s2am_ard_3-2-1_55LEC_2023-11-19_final.stac-item
2023-11-19 10:01:18	ga_s2am_ard_3-2-1_55LDC_2023-11-19_nrt.stac-item
2023-11-19 10:01:21	ga_s2am_ard_3-2-1_55LCC_2023-11-19_final.stac-item
2023-11-19 10:01:29	ga_s2am_ard_3-2-1_55KEB_2023-11-19_final.stac-item
2023-11-19 10:01:33	ga_s2am_ard_3-2-1_55KDB_2023-11-19_final.stac-item
2023-11-19 10:01:36	ga_s2am_ard_3-2-1_55KCB_2023-11-19_final.stac-item
2023-11-19 10:01:58	ga_s2am_ard_3-2-1_55KEV_2023-11-19_final.stac-item
2023-11-19 10:02:02	ga_s2am_ard_3-2-1_55KDV_2023-11-19_final.stac-item
2023-11-19 10:02:05	ga_s2am_ard_3-2-1_55KCV_2023-11-19_final.stac-item
2023-11-19 10:02:12	ga_s2am_ard_3-2-1_55KBV_2023-11-19_final.stac-item
2023-11-19 10:02:37	ga_s2am_ard_3-2-1_55KBT_2023-11-19_final.stac-item
2023-11-19 10:03:48	ga_s2am_ard_3-2-1_54JZT_2023-11-19_final.stac-item
2023-11-19 10:03:49	ga_s2am_ard_3-2-1_54JYT_2023-11-19_final.stac-item
2023-11-19 10:04:11	ga_s2am_ard_3-2-1_55JDL_2023-11-19_final.stac-item
2023-11-19 10:04:16	ga_s2am_ard_3-2-1_55JCL_2023-11-19_final.stac-item
2023-11-19 10:04:19	ga_s2am_ard_3-2-1_55JBL_2023-11-19_final.stac-item
2023-11-19 10:04:23	ga_s2am_ard_3-2-1_54JYR_2023-11-19_final.stac-item
2023-11-19 10:04:30	ga_s2am_ard_3-2-1_54JXR_2023-11-19_final.stac-item
2023-11-19 10:04:41	ga_s2am_ard_3-2-1_54JXQ_2023-11-19_final.stac-item
2023-11-19 10:04:45	ga_s2am_ard_3-2-1_55JCJ_2023-11-19_final.stac-item
2023-11-19 10:04:48	ga_s2am_ard_3-2-1_55JBJ_2023-11-19_final.stac-item
2023-11-19 10:04:51	ga_s2am_ard_3-2-1_54JYP_2023-11-19_final.stac-item
2023-11-19 10:04:55	ga_s2am_ard_3-2-1_54JXP_2023-11-19_final.stac-item
2023-11-19 10:05:03	ga_s2am_ard_3-2-1_55JBH_2023-11-19_final.stac-item
2023-11-19 10:05:06	ga_s2am_ard_3-2-1_54JYN_2023-11-19_final.stac-item
2023-11-19 10:05:10	ga_s2am_ard_3-2-1_54JXN_2023-11-19_final.stac-item
2023-11-19 10:05:20	ga_s2am_ard_3-2-1_54JYM_2023-11-19_final.stac-item
2023-11-19 10:05:24	ga_s2am_ard_3-2-1_54JXM_2023-11-19_final.stac-item
2023-11-19 10:05:30	ga_s2am_ard_3-2-1_54JWM_2023-11-19_final.stac-item
2023-11-19 10:05:36	ga_s2am_ard_3-2-1_55HCE_2023-11-19_final.stac-item
2023-11-19 10:05:42	ga_s2am_ard_3-2-1_54JWL_2023-11-19_final.stac-item
2023-11-19 10:05:53	ga_s2am_ard_3-2-1_54HXK_2023-11-19_final.stac-item
2023-11-19 10:06:04	ga_s2am_ard_3-2-1_54HYJ_2023-11-19_final.stac-item
2023-11-19 10:06:07	ga_s2am_ard_3-2-1_54HXJ_2023-11-19_final.stac-item
2023-11-19 10:06:11	ga_s2am_ard_3-2-1_54HWJ_2023-11-19_final.stac-item
2023-11-19 10:06:22	ga_s2am_ard_3-2-1_54HXH_2023-11-19_final.stac-item
2023-11-19 10:06:26	ga_s2am_ard_3-2-1_54HWH_2023-11-19_final.stac-item
2023-11-19 10:06:31	ga_s2am_ard_3-2-1_54HVH_2023-11-19_final.stac-item
2023-11-19 10:06:36	ga_s2am_ard_3-2-1_54HXG_2023-11-19_final.stac-item
2023-11-19 10:06:40	ga_s2am_ard_3-2-1_54HWG_2023-11-19_final.stac-item
2023-11-19 10:06:43	ga_s2am_ard_3-2-1_54HVG_2023-11-19_final.stac-item
2023-11-19 10:06:55	ga_s2am_ard_3-2-1_54HWF_2023-11-19_final.stac-item
2023-11-19 10:06:58	ga_s2am_ard_3-2-1_54HVF_2023-11-19_final.stac-item
2023-11-19 10:07:01	ga_s2am_ard_3-2-1_54HYE_2023-11-19_final.stac-item
2023-11-19 10:07:12	ga_s2am_ard_3-2-1_54HYD_2023-11-19_final.stac-item
2023-11-19 10:07:19	ga_s2am_ard_3-2-1_54HXD_2023-11-19_final.stac-item
2023-11-19 10:07:32	ga_s2am_ard_3-2-1_54HUD_2023-11-19_final.stac-item
2023-11-19 10:07:43	ga_s2am_ard_3-2-1_54HUC_2023-11-19_nrt.stac-item
2023-11-19 10:07:45	ga_s2am_ard_3-2-1_54HXB_2023-11-19_nrt.stac-item
2023-11-19 10:07:46	ga_s2am_ard_3-2-1_54HWB_2023-11-19_nrt.stac-item
2023-11-19 10:07:47	ga_s2am_ard_3-2-1_54HVB_2023-11-19_nrt.stac-item
2023-11-19 11:40:40	ga_s2am_ard_3-2-1_51LWH_2023-11-19_nrt.stac-item
2023-11-19 11:40:43	ga_s2am_ard_3-2-1_51LVH_2023-11-19_nrt.stac-item
2023-11-19 11:41:48	ga_s2am_ard_3-2-1_51LTD_2023-11-19_nrt.stac-item
2023-11-19 11:41:53	ga_s2am_ard_3-2-1_51LWC_2023-11-19_final.stac-item
2023-11-19 11:41:56	ga_s2am_ard_3-2-1_51LVC_2023-11-19_final.stac-item
2023-11-19 11:41:59	ga_s2am_ard_3-2-1_51LUC_2023-11-19_final.stac-item
2023-11-19 11:42:07	ga_s2am_ard_3-2-1_51KWB_2023-11-19_final.stac-item
2023-11-19 11:42:11	ga_s2am_ard_3-2-1_51KVB_2023-11-19_final.stac-item
2023-11-19 11:42:14	ga_s2am_ard_3-2-1_51KUB_2023-11-19_final.stac-item
2023-11-19 11:42:17	ga_s2am_ard_3-2-1_51KTB_2023-11-19_nrt.stac-item
2023-11-19 11:42:18	ga_s2am_ard_3-2-1_50KRG_2023-11-19_nrt.stac-item
2023-11-19 11:42:43	ga_s2am_ard_3-2-1_51KUV_2023-11-19_final.stac-item
2023-11-19 11:44:48	ga_s2am_ard_3-2-1_51JUL_2023-11-19_final.stac-item
2023-11-19 11:44:57	ga_s2am_ard_3-2-1_51JTL_2023-11-19_final.stac-item
2023-11-19 11:45:01	ga_s2am_ard_3-2-1_50JQR_2023-11-19_final.stac-item
2023-11-19 11:45:04	ga_s2am_ard_3-2-1_50JPR_2023-11-19_final.stac-item
2023-11-19 11:45:09	ga_s2am_ard_3-2-1_50JNR_2023-11-19_final.stac-item
2023-11-19 11:45:19	ga_s2am_ard_3-2-1_50JPQ_2023-11-19_final.stac-item
2023-11-19 11:45:22	ga_s2am_ard_3-2-1_50JNQ_2023-11-19_final.stac-item
2023-11-19 11:45:26	ga_s2am_ard_3-2-1_51JTJ_2023-11-19_final.stac-item
2023-11-19 11:45:29	ga_s2am_ard_3-2-1_50JQP_2023-11-19_final.stac-item
2023-11-19 11:45:33	ga_s2am_ard_3-2-1_50JPP_2023-11-19_final.stac-item
2023-11-19 11:45:41	ga_s2am_ard_3-2-1_51JTH_2023-11-19_final.stac-item
2023-11-19 11:45:44	ga_s2am_ard_3-2-1_50JQN_2023-11-19_final.stac-item
2023-11-19 11:45:48	ga_s2am_ard_3-2-1_50JPN_2023-11-19_final.stac-item
2023-11-19 11:45:51	ga_s2am_ard_3-2-1_50JNN_2023-11-19_final.stac-item
2023-11-19 11:46:02	ga_s2am_ard_3-2-1_50JPM_2023-11-19_final.stac-item
2023-11-19 11:46:06	ga_s2am_ard_3-2-1_50JNM_2023-11-19_final.stac-item
2023-11-19 11:46:10	ga_s2am_ard_3-2-1_50JMM_2023-11-19_final.stac-item
2023-11-19 11:46:31	ga_s2am_ard_3-2-1_50HPK_2023-11-19_final.stac-item
2023-11-19 11:46:40	ga_s2am_ard_3-2-1_50HQJ_2023-11-19_final.stac-item
2023-11-19 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-11-19_final.stac-item
2023-11-19 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2023-11-19_final.stac-item
2023-11-19 11:46:51	ga_s2am_ard_3-2-1_50HQH_2023-11-19_final.stac-item
2023-11-19 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2023-11-19_final.stac-item
2023-11-19 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-11-19_final.stac-item
2023-11-19 11:47:04	ga_s2am_ard_3-2-1_50HNH_2023-11-19_final.stac-item
2023-11-19 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-11-19_final.stac-item
2023-11-19 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-11-19_final.stac-item
2023-11-19 11:47:14	ga_s2am_ard_3-2-1_50HPG_2023-11-19_final.stac-item
2023-11-19 11:47:18	ga_s2am_ard_3-2-1_50HNG_2023-11-19_final.stac-item
2023-11-19 11:47:21	ga_s2am_ard_3-2-1_50HMG_2023-11-19_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