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
2021-03-23 12:14:58	ga_s2am_ard_3-2-1_49JFM_2021-03-23_final
2021-03-24 10:01:10	ga_s2am_ard_3-2-1_55LCD_2021-03-24_final
2021-03-24 10:01:12	ga_s2am_ard_3-2-1_55LFC_2021-03-24_final
2021-03-24 10:01:23	ga_s2am_ard_3-2-1_55LCC_2021-03-24_final
2021-03-24 10:01:27	ga_s2am_ard_3-2-1_55KFB_2021-03-24_final
2021-03-24 10:01:31	ga_s2am_ard_3-2-1_55KEB_2021-03-24_final
2021-03-24 10:01:34	ga_s2am_ard_3-2-1_55KDB_2021-03-24_final
2021-03-24 10:01:37	ga_s2am_ard_3-2-1_55KCB_2021-03-24_final
2021-03-24 10:01:59	ga_s2am_ard_3-2-1_55KEV_2021-03-24_final
2021-03-24 10:02:03	ga_s2am_ard_3-2-1_55KDV_2021-03-24_final
2021-03-24 10:02:03	ga_s2am_ard_3-2-1_55KFU_2021-03-24_final
2021-03-24 10:02:06	ga_s2am_ard_3-2-1_55KCV_2021-03-24_final
2021-03-24 10:02:13	ga_s2am_ard_3-2-1_55KBV_2021-03-24_final
2021-03-24 10:02:14	ga_s2am_ard_3-2-1_55KEU_2021-03-24_final
2021-03-24 10:02:18	ga_s2am_ard_3-2-1_55KDU_2021-03-24_final
2021-03-24 10:02:24	ga_s2am_ard_3-2-1_55KBU_2021-03-24_final
2021-03-24 10:02:29	ga_s2am_ard_3-2-1_55KET_2021-03-24_final
2021-03-24 10:02:35	ga_s2am_ard_3-2-1_55KCT_2021-03-24_final
2021-03-24 10:02:40	ga_s2am_ard_3-2-1_54KZC_2021-03-24_final
2021-03-24 10:02:43	ga_s2am_ard_3-2-1_55KES_2021-03-24_final
2021-03-24 10:02:47	ga_s2am_ard_3-2-1_55KDS_2021-03-24_final
2021-03-24 10:02:50	ga_s2am_ard_3-2-1_55KCS_2021-03-24_final
2021-03-24 10:02:53	ga_s2am_ard_3-2-1_55KBS_2021-03-24_final
2021-03-24 10:02:53	ga_s2am_ard_3-2-1_54KZB_2021-03-24_final
2021-03-24 10:03:04	ga_s2am_ard_3-2-1_55KCR_2021-03-24_final
2021-03-24 10:03:07	ga_s2am_ard_3-2-1_55KEQ_2021-03-24_final
2021-03-24 10:03:08	ga_s2am_ard_3-2-1_55KBR_2021-03-24_final
2021-03-24 10:03:08	ga_s2am_ard_3-2-1_54KZA_2021-03-24_final
2021-03-24 10:03:15	ga_s2am_ard_3-2-1_55KDQ_2021-03-24_final
2021-03-24 10:03:19	ga_s2am_ard_3-2-1_55KCQ_2021-03-24_final
2021-03-24 10:03:22	ga_s2am_ard_3-2-1_55KBQ_2021-03-24_final
2021-03-24 10:03:22	ga_s2am_ard_3-2-1_54KZV_2021-03-24_final
2021-03-24 10:03:30	ga_s2am_ard_3-2-1_55KDP_2021-03-24_final
2021-03-24 10:03:33	ga_s2am_ard_3-2-1_55KCP_2021-03-24_final
2021-03-24 10:03:37	ga_s2am_ard_3-2-1_54KZU_2021-03-24_final
2021-03-24 10:03:41	ga_s2am_ard_3-2-1_54KYU_2021-03-24_final
2021-03-24 10:03:45	ga_s2am_ard_3-2-1_55JDN_2021-03-24_final
2021-03-24 10:03:48	ga_s2am_ard_3-2-1_55JCN_2021-03-24_final
2021-03-24 10:03:51	ga_s2am_ard_3-2-1_54JZT_2021-03-24_final
2021-03-24 10:03:51	ga_s2am_ard_3-2-1_55JBN_2021-03-24_final
2021-03-24 10:03:54	ga_s2am_ard_3-2-1_54JYT_2021-03-24_final
2021-03-24 10:03:59	ga_s2am_ard_3-2-1_55JDM_2021-03-24_final
2021-03-24 10:04:03	ga_s2am_ard_3-2-1_55JCM_2021-03-24_final
2021-03-24 10:04:06	ga_s2am_ard_3-2-1_54JZS_2021-03-24_final
2021-03-24 10:04:06	ga_s2am_ard_3-2-1_55JBM_2021-03-24_final
2021-03-24 10:04:09	ga_s2am_ard_3-2-1_54JYS_2021-03-24_final
2021-03-24 10:05:31	ga_s2am_ard_3-2-1_54JWM_2021-03-24_final
2021-03-24 10:06:56	ga_s2am_ard_3-2-1_54HWF_2021-03-24_final
2021-03-24 10:06:59	ga_s2am_ard_3-2-1_54HVF_2021-03-24_final
2021-03-24 11:40:56	ga_s2am_ard_3-2-1_51LWG_2021-03-24_final.stac-item
2021-03-24 11:40:59	ga_s2am_ard_3-2-1_51LVG_2021-03-24_final
2021-03-24 11:41:13	ga_s2am_ard_3-2-1_51LVF_2021-03-24_final
2021-03-24 11:41:17	ga_s2am_ard_3-2-1_51LUF_2021-03-24_final
2021-03-24 11:41:24	ga_s2am_ard_3-2-1_51LWE_2021-03-24_final
2021-03-24 11:41:28	ga_s2am_ard_3-2-1_51LVE_2021-03-24_final
2021-03-24 11:41:31	ga_s2am_ard_3-2-1_51LUE_2021-03-24_final
2021-03-24 11:41:46	ga_s2am_ard_3-2-1_51LUD_2021-03-24_final.stac-item
2021-03-24 11:42:00	ga_s2am_ard_3-2-1_51LUC_2021-03-24_final.stac-item
2021-03-24 11:42:08	ga_s2am_ard_3-2-1_51KWB_2021-03-24_final
2021-03-24 11:42:12	ga_s2am_ard_3-2-1_51KVB_2021-03-24_final
2021-03-24 11:42:15	ga_s2am_ard_3-2-1_51KUB_2021-03-24_final.stac-item
2021-03-24 11:42:34	ga_s2am_ard_3-2-1_51KVV_2021-03-24_final
2021-03-24 11:42:35	ga_s2am_ard_3-2-1_51KUV_2021-03-24_final
2021-03-24 11:42:41	ga_s2am_ard_3-2-1_51KVV_2021-03-24_final
2021-03-24 11:42:44	ga_s2am_ard_3-2-1_51KUV_2021-03-24_final
2021-03-24 11:42:55	ga_s2am_ard_3-2-1_51KVU_2021-03-24_final
2021-03-24 11:43:02	ga_s2am_ard_3-2-1_51KTU_2021-03-24_final
2021-03-24 11:43:02	ga_s2am_ard_3-2-1_50KRD_2021-03-24_final
2021-03-24 11:43:07	ga_s2am_ard_3-2-1_50KQD_2021-03-24_final.stac-item
2021-03-24 11:43:13	ga_s2am_ard_3-2-1_51KUT_2021-03-24_final
2021-03-24 11:43:17	ga_s2am_ard_3-2-1_50KRC_2021-03-24_final
2021-03-24 11:43:23	ga_s2am_ard_3-2-1_51KVS_2021-03-24_final
2021-03-24 11:43:28	ga_s2am_ard_3-2-1_51KUS_2021-03-24_final
2021-03-24 11:43:31	ga_s2am_ard_3-2-1_51KTS_2021-03-24_final
2021-03-24 11:43:31	ga_s2am_ard_3-2-1_50KRB_2021-03-24_final
2021-03-24 11:43:34	ga_s2am_ard_3-2-1_51KVR_2021-03-24_final
2021-03-24 11:43:42	ga_s2am_ard_3-2-1_51KUR_2021-03-24_final
2021-03-24 11:43:46	ga_s2am_ard_3-2-1_51KTR_2021-03-24_final
2021-03-24 11:43:46	ga_s2am_ard_3-2-1_50KRA_2021-03-24_final
2021-03-24 11:43:49	ga_s2am_ard_3-2-1_50KQA_2021-03-24_final
2021-03-24 11:43:57	ga_s2am_ard_3-2-1_51KUQ_2021-03-24_final
2021-03-24 11:44:00	ga_s2am_ard_3-2-1_51KTQ_2021-03-24_final
2021-03-24 11:44:00	ga_s2am_ard_3-2-1_50KRV_2021-03-24_final
2021-03-24 11:44:08	ga_s2am_ard_3-2-1_50KPV_2021-03-24_final
2021-03-24 11:44:11	ga_s2am_ard_3-2-1_51KUP_2021-03-24_final
2021-03-24 11:44:15	ga_s2am_ard_3-2-1_50KRU_2021-03-24_final
2021-03-24 11:44:15	ga_s2am_ard_3-2-1_51KTP_2021-03-24_final
2021-03-24 11:44:18	ga_s2am_ard_3-2-1_50KQU_2021-03-24_final
2021-03-24 11:44:21	ga_s2am_ard_3-2-1_50KPU_2021-03-24_final
2021-03-24 11:44:26	ga_s2am_ard_3-2-1_51JUN_2021-03-24_final
2021-03-24 11:44:29	ga_s2am_ard_3-2-1_50JRT_2021-03-24_final
2021-03-24 11:44:29	ga_s2am_ard_3-2-1_51JTN_2021-03-24_final
2021-03-24 11:44:33	ga_s2am_ard_3-2-1_50JQT_2021-03-24_final
2021-03-24 11:44:36	ga_s2am_ard_3-2-1_50JPT_2021-03-24_final
2021-03-24 11:44:39	ga_s2am_ard_3-2-1_51JUM_2021-03-24_final
2021-03-24 11:44:43	ga_s2am_ard_3-2-1_50JRS_2021-03-24_final
2021-03-24 11:44:44	ga_s2am_ard_3-2-1_51JTM_2021-03-24_final
2021-03-24 11:44:47	ga_s2am_ard_3-2-1_50JQS_2021-03-24_final
2021-03-24 11:44:51	ga_s2am_ard_3-2-1_50JPS_2021-03-24_final
2021-03-24 11:45:38	ga_s2am_ard_3-2-1_50JNP_2021-03-24_final

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