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
2020-12-04 10:01:10	ga_s2am_ard_3-2-1_55LCD_2020-12-04_final
2020-12-04 10:01:13	ga_s2am_ard_3-2-1_55LFC_2020-12-04_final
2020-12-04 10:01:16	ga_s2am_ard_3-2-1_55LEC_2020-12-04_final
2020-12-04 10:01:27	ga_s2am_ard_3-2-1_55KFB_2020-12-04_final
2020-12-04 10:01:37	ga_s2am_ard_3-2-1_55KCB_2020-12-04_final
2020-12-04 10:01:41	ga_s2am_ard_3-2-1_55KFA_2020-12-04_final
2020-12-04 10:01:49	ga_s2am_ard_3-2-1_55KDA_2020-12-04_final
2020-12-04 10:01:52	ga_s2am_ard_3-2-1_55KCA_2020-12-04_final
2020-12-04 10:02:04	ga_s2am_ard_3-2-1_55KFU_2020-12-04_final
2020-12-04 10:02:07	ga_s2am_ard_3-2-1_55KCV_2020-12-04_final
2020-12-04 10:02:14	ga_s2am_ard_3-2-1_55KBV_2020-12-04_final
2020-12-04 10:02:14	ga_s2am_ard_3-2-1_55KEU_2020-12-04_final
2020-12-04 10:02:18	ga_s2am_ard_3-2-1_55KDU_2020-12-04_final
2020-12-04 10:02:25	ga_s2am_ard_3-2-1_55KBU_2020-12-04_final
2020-12-04 10:02:29	ga_s2am_ard_3-2-1_55KET_2020-12-04_final
2020-12-04 10:02:32	ga_s2am_ard_3-2-1_55KDT_2020-12-04_final
2020-12-04 10:02:35	ga_s2am_ard_3-2-1_55KCT_2020-12-04_final
2020-12-04 10:02:38	ga_s2am_ard_3-2-1_55KBT_2020-12-04_final
2020-12-04 10:02:43	ga_s2am_ard_3-2-1_55KES_2020-12-04_final
2020-12-04 10:02:47	ga_s2am_ard_3-2-1_55KDS_2020-12-04_final
2020-12-04 10:02:53	ga_s2am_ard_3-2-1_55KBS_2020-12-04_final
2020-12-04 10:02:53	ga_s2am_ard_3-2-1_54KZB_2020-12-04_final
2020-12-04 10:02:57	ga_s2am_ard_3-2-1_55KER_2020-12-04_final
2020-12-04 10:03:01	ga_s2am_ard_3-2-1_55KDR_2020-12-04_final
2020-12-04 10:03:08	ga_s2am_ard_3-2-1_55KEQ_2020-12-04_final
2020-12-04 10:03:08	ga_s2am_ard_3-2-1_55KBR_2020-12-04_final
2020-12-04 10:03:16	ga_s2am_ard_3-2-1_55KDQ_2020-12-04_final
2020-12-04 10:03:22	ga_s2am_ard_3-2-1_55KBQ_2020-12-04_final
2020-12-04 10:03:23	ga_s2am_ard_3-2-1_54KZV_2020-12-04_final
2020-12-04 10:03:30	ga_s2am_ard_3-2-1_55KDP_2020-12-04_final
2020-12-04 10:03:34	ga_s2am_ard_3-2-1_55KCP_2020-12-04_final
2020-12-04 10:03:37	ga_s2am_ard_3-2-1_55KBP_2020-12-04_final
2020-12-04 10:03:37	ga_s2am_ard_3-2-1_54KZU_2020-12-04_final
2020-12-04 10:03:41	ga_s2am_ard_3-2-1_54KYU_2020-12-04_final
2020-12-04 10:03:45	ga_s2am_ard_3-2-1_55JDN_2020-12-04_final
2020-12-04 10:03:48	ga_s2am_ard_3-2-1_55JCN_2020-12-04_final
2020-12-04 10:03:51	ga_s2am_ard_3-2-1_54JZT_2020-12-04_final
2020-12-04 10:03:52	ga_s2am_ard_3-2-1_55JBN_2020-12-04_final
2020-12-04 10:03:55	ga_s2am_ard_3-2-1_54JYT_2020-12-04_final
2020-12-04 10:04:03	ga_s2am_ard_3-2-1_55JCM_2020-12-04_final
2020-12-04 10:04:06	ga_s2am_ard_3-2-1_54JZS_2020-12-04_final
2020-12-04 10:04:06	ga_s2am_ard_3-2-1_55JBM_2020-12-04_final
2020-12-04 10:04:09	ga_s2am_ard_3-2-1_54JYS_2020-12-04_final
2020-12-04 10:06:03	ga_s2am_ard_3-2-1_55HBD_2020-12-04_final
2020-12-04 10:06:05	ga_s2am_ard_3-2-1_54HYJ_2020-12-04_final
2020-12-04 10:06:09	ga_s2am_ard_3-2-1_54HXJ_2020-12-04_final
2020-12-04 10:06:12	ga_s2am_ard_3-2-1_54HWJ_2020-12-04_final
2020-12-04 10:06:17	ga_s2am_ard_3-2-1_55HBC_2020-12-04_final
2020-12-04 10:06:27	ga_s2am_ard_3-2-1_54HWH_2020-12-04_final
2020-12-04 10:06:33	ga_s2am_ard_3-2-1_54HVH_2020-12-04_final
2020-12-04 10:06:41	ga_s2am_ard_3-2-1_54HWG_2020-12-04_final
2020-12-04 10:06:45	ga_s2am_ard_3-2-1_54HVG_2020-12-04_final
2020-12-04 10:07:13	ga_s2am_ard_3-2-1_54HYD_2020-12-04_final
2020-12-04 10:07:34	ga_s2am_ard_3-2-1_54HUD_2020-12-04_final.stac-item
2020-12-04 11:40:56	ga_s2am_ard_3-2-1_51LWG_2020-12-04_final.stac-item
2020-12-04 11:41:14	ga_s2am_ard_3-2-1_51LVF_2020-12-04_final
2020-12-04 11:41:17	ga_s2am_ard_3-2-1_51LUF_2020-12-04_final
2020-12-04 11:41:46	ga_s2am_ard_3-2-1_51LUD_2020-12-04_final.stac-item
2020-12-04 11:41:57	ga_s2am_ard_3-2-1_51LVC_2020-12-04_final
2020-12-04 11:42:01	ga_s2am_ard_3-2-1_51LUC_2020-12-04_final.stac-item
2020-12-04 11:42:15	ga_s2am_ard_3-2-1_51KUB_2020-12-04_final.stac-item
2020-12-04 11:42:20	ga_s2am_ard_3-2-1_51KWA_2020-12-04_final
2020-12-04 11:42:26	ga_s2am_ard_3-2-1_51KVA_2020-12-04_final
2020-12-04 11:42:30	ga_s2am_ard_3-2-1_51KUA_2020-12-04_final
2020-12-04 11:42:44	ga_s2am_ard_3-2-1_51KUV_2020-12-04_final
2020-12-04 11:42:55	ga_s2am_ard_3-2-1_51KVU_2020-12-04_final
2020-12-04 11:43:02	ga_s2am_ard_3-2-1_51KTU_2020-12-04_final
2020-12-04 11:43:03	ga_s2am_ard_3-2-1_50KRD_2020-12-04_final
2020-12-04 11:43:08	ga_s2am_ard_3-2-1_50KQD_2020-12-04_final.stac-item
2020-12-04 11:43:13	ga_s2am_ard_3-2-1_51KUT_2020-12-04_final
2020-12-04 11:43:17	ga_s2am_ard_3-2-1_51KTT_2020-12-04_final
2020-12-04 11:43:20	ga_s2am_ard_3-2-1_50KQC_2020-12-04_final
2020-12-04 11:43:23	ga_s2am_ard_3-2-1_51KVS_2020-12-04_final
2020-12-04 11:43:31	ga_s2am_ard_3-2-1_51KTS_2020-12-04_final
2020-12-04 11:43:32	ga_s2am_ard_3-2-1_50KRB_2020-12-04_final
2020-12-04 11:43:35	ga_s2am_ard_3-2-1_51KVR_2020-12-04_final
2020-12-04 11:43:35	ga_s2am_ard_3-2-1_50KQB_2020-12-04_final
2020-12-04 11:43:46	ga_s2am_ard_3-2-1_51KTR_2020-12-04_final
2020-12-04 11:43:50	ga_s2am_ard_3-2-1_50KQA_2020-12-04_final
2020-12-04 11:44:00	ga_s2am_ard_3-2-1_51KTQ_2020-12-04_final
2020-12-04 11:44:01	ga_s2am_ard_3-2-1_50KRV_2020-12-04_final
2020-12-04 11:44:04	ga_s2am_ard_3-2-1_50KQV_2020-12-04_final
2020-12-04 11:44:12	ga_s2am_ard_3-2-1_51KUP_2020-12-04_final
2020-12-04 11:44:15	ga_s2am_ard_3-2-1_50KRU_2020-12-04_final
2020-12-04 11:44:15	ga_s2am_ard_3-2-1_51KTP_2020-12-04_final
2020-12-04 11:44:18	ga_s2am_ard_3-2-1_50KQU_2020-12-04_final
2020-12-04 11:44:22	ga_s2am_ard_3-2-1_50KPU_2020-12-04_final
2020-12-04 11:44:26	ga_s2am_ard_3-2-1_51JUN_2020-12-04_final
2020-12-04 11:44:29	ga_s2am_ard_3-2-1_50JRT_2020-12-04_final
2020-12-04 11:44:30	ga_s2am_ard_3-2-1_51JTN_2020-12-04_final
2020-12-04 11:44:33	ga_s2am_ard_3-2-1_50JQT_2020-12-04_final
2020-12-04 11:44:44	ga_s2am_ard_3-2-1_50JRS_2020-12-04_final
2020-12-04 11:44:44	ga_s2am_ard_3-2-1_51JTM_2020-12-04_final
2020-12-04 11:44:47	ga_s2am_ard_3-2-1_50JQS_2020-12-04_final
2020-12-04 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2020-12-04_final
2020-12-04 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2020-12-04_final
2020-12-04 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2020-12-04_final
2020-12-04 11:47:05	ga_s2am_ard_3-2-1_50HNH_2020-12-04_final
2020-12-04 11:47:08	ga_s2am_ard_3-2-1_50HMH_2020-12-04_final
2020-12-04 11:47:19	ga_s2am_ard_3-2-1_50HNG_2020-12-04_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