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
2023-04-02 12:15:19	ga_s2am_ard_3-2-1_49JGK_2023-04-02_final.stac-item
2023-04-02 12:15:21	ga_s2am_ard_3-2-1_49JFK_2023-04-02_nrt.stac-item
2023-04-03 09:59:37	ga_s2am_ard_3-2-1_55LHJ_2023-04-03_nrt.stac-item
2023-04-03 09:59:43	ga_s2am_ard_3-2-1_55LGJ_2023-04-03_nrt.stac-item
2023-04-03 09:59:46	ga_s2am_ard_3-2-1_55LFJ_2023-04-03_nrt.stac-item
2023-04-03 09:59:50	ga_s2am_ard_3-2-1_55LEJ_2023-04-03_nrt.stac-item
2023-04-03 10:00:01	ga_s2am_ard_3-2-1_55LFH_2023-04-03_nrt.stac-item
2023-04-03 10:00:04	ga_s2am_ard_3-2-1_55LEH_2023-04-03_nrt.stac-item
2023-04-03 10:00:08	ga_s2am_ard_3-2-1_55LDH_2023-04-03_nrt.stac-item
2023-04-03 10:00:26	ga_s2am_ard_3-2-1_55LGF_2023-04-03_nrt.stac-item
2023-04-03 10:00:30	ga_s2am_ard_3-2-1_55LFF_2023-04-03_nrt.stac-item
2023-04-03 10:00:51	ga_s2am_ard_3-2-1_55LGD_2023-04-03_nrt.stac-item
2023-04-03 10:00:54	ga_s2am_ard_3-2-1_55LFD_2023-04-03_nrt.stac-item
2023-04-03 10:00:54	ga_s2am_ard_3-2-1_55LGD_2023-04-03_nrt.stac-item
2023-04-03 10:01:42	ga_s2am_ard_3-2-1_55KFA_2023-04-03_final.stac-item
2023-04-03 10:01:46	ga_s2am_ard_3-2-1_55KEA_2023-04-03_nrt.stac-item
2023-04-03 10:01:49	ga_s2am_ard_3-2-1_55KDA_2023-04-03_final.stac-item
2023-04-03 10:01:52	ga_s2am_ard_3-2-1_55KCA_2023-04-03_final.stac-item
2023-04-03 10:02:15	ga_s2am_ard_3-2-1_55KEU_2023-04-03_final.stac-item
2023-04-03 10:02:18	ga_s2am_ard_3-2-1_55KDU_2023-04-03_final.stac-item
2023-04-03 10:02:29	ga_s2am_ard_3-2-1_55KET_2023-04-03_final.stac-item
2023-04-03 10:02:33	ga_s2am_ard_3-2-1_55KDT_2023-04-03_final.stac-item
2023-04-03 10:02:36	ga_s2am_ard_3-2-1_55KCT_2023-04-03_final.stac-item
2023-04-03 10:02:39	ga_s2am_ard_3-2-1_55KBT_2023-04-03_final.stac-item
2023-04-03 10:02:54	ga_s2am_ard_3-2-1_55KBS_2023-04-03_final.stac-item
2023-04-03 10:04:21	ga_s2am_ard_3-2-1_55JBL_2023-04-03_final.stac-item
2023-04-03 10:04:22	ga_s2am_ard_3-2-1_55JDK_2023-04-03_final.stac-item
2023-04-03 10:04:24	ga_s2am_ard_3-2-1_54JYR_2023-04-03_final.stac-item
2023-04-03 10:04:31	ga_s2am_ard_3-2-1_54JXR_2023-04-03_final.stac-item
2023-04-03 10:04:32	ga_s2am_ard_3-2-1_55JCK_2023-04-03_final.stac-item
2023-04-03 10:04:43	ga_s2am_ard_3-2-1_54JXQ_2023-04-03_final.stac-item
2023-04-03 10:04:53	ga_s2am_ard_3-2-1_54JYP_2023-04-03_final.stac-item
2023-04-03 10:05:22	ga_s2am_ard_3-2-1_54JYM_2023-04-03_final.stac-item
2023-04-03 10:05:28	ga_s2am_ard_3-2-1_55JCF_2023-04-03_final.stac-item
2023-04-03 10:05:32	ga_s2am_ard_3-2-1_54JWM_2023-04-03_final.stac-item
2023-04-03 10:06:13	ga_s2am_ard_3-2-1_54HWJ_2023-04-03_final.stac-item
2023-04-03 10:06:18	ga_s2am_ard_3-2-1_55HBC_2023-04-03_final.stac-item
2023-04-03 10:06:19	ga_s2am_ard_3-2-1_54HYH_2023-04-03_final.stac-item
2023-04-03 10:06:27	ga_s2am_ard_3-2-1_54HWH_2023-04-03_final.stac-item
2023-04-03 10:06:33	ga_s2am_ard_3-2-1_54HVH_2023-04-03_final.stac-item
2023-04-03 10:06:55	ga_s2am_ard_3-2-1_55HBV_2023-04-03_final.stac-item
2023-04-03 10:06:56	ga_s2am_ard_3-2-1_54HWF_2023-04-03_final.stac-item
2023-04-03 10:07:00	ga_s2am_ard_3-2-1_54HVF_2023-04-03_final.stac-item
2023-04-03 10:07:02	ga_s2am_ard_3-2-1_54HYE_2023-04-03_final.stac-item
2023-04-03 10:07:07	ga_s2am_ard_3-2-1_54HXE_2023-04-03_final.stac-item
2023-04-03 10:07:11	ga_s2am_ard_3-2-1_54HWE_2023-04-03_final.stac-item
2023-04-03 10:07:13	ga_s2am_ard_3-2-1_54HYD_2023-04-03_final.stac-item
2023-04-03 10:07:14	ga_s2am_ard_3-2-1_54HVE_2023-04-03_final.stac-item
2023-04-03 10:07:21	ga_s2am_ard_3-2-1_54HXD_2023-04-03_final.stac-item
2023-04-03 10:07:34	ga_s2am_ard_3-2-1_54HUD_2023-04-03_final.stac-item
2023-04-03 10:07:47	ga_s2am_ard_3-2-1_54HXB_2023-04-03_nrt.stac-item
2023-04-03 10:07:49	ga_s2am_ard_3-2-1_54HWB_2023-04-03_nrt.stac-item
2023-04-03 10:07:51	ga_s2am_ard_3-2-1_54HVB_2023-04-03_nrt.stac-item
2023-04-03 11:40:24	ga_s2am_ard_3-2-1_51LXJ_2023-04-03_nrt.stac-item
2023-04-03 11:40:27	ga_s2am_ard_3-2-1_51LWJ_2023-04-03_nrt.stac-item
2023-04-03 11:40:31	ga_s2am_ard_3-2-1_51LVJ_2023-04-03_nrt.stac-item
2023-04-03 11:40:34	ga_s2am_ard_3-2-1_51LUJ_2023-04-03_nrt.stac-item
2023-04-03 11:40:38	ga_s2am_ard_3-2-1_51LXH_2023-04-03_nrt.stac-item
2023-04-03 11:40:42	ga_s2am_ard_3-2-1_51LWH_2023-04-03_nrt.stac-item
2023-04-03 11:40:45	ga_s2am_ard_3-2-1_51LVH_2023-04-03_nrt.stac-item
2023-04-03 11:40:48	ga_s2am_ard_3-2-1_51LUH_2023-04-03_nrt.stac-item
2023-04-03 11:41:06	ga_s2am_ard_3-2-1_51LXF_2023-04-03_nrt.stac-item
2023-04-03 11:41:17	ga_s2am_ard_3-2-1_51LUF_2023-04-03_final.stac-item
2023-04-03 11:41:49	ga_s2am_ard_3-2-1_51LTD_2023-04-03_nrt.stac-item
2023-04-03 11:42:04	ga_s2am_ard_3-2-1_51LTC_2023-04-03_nrt.stac-item
2023-04-03 11:42:07	ga_s2am_ard_3-2-1_50LRH_2023-04-03_nrt.stac-item
2023-04-03 11:42:20	ga_s2am_ard_3-2-1_50KRG_2023-04-03_nrt.stac-item
2023-04-03 11:42:27	ga_s2am_ard_3-2-1_51KVA_2023-04-03_final.stac-item
2023-04-03 11:42:30	ga_s2am_ard_3-2-1_51KUA_2023-04-03_final.stac-item
2023-04-03 11:42:56	ga_s2am_ard_3-2-1_51KVU_2023-04-03_final.stac-item
2023-04-03 11:43:02	ga_s2am_ard_3-2-1_51KTU_2023-04-03_final.stac-item
2023-04-03 11:43:08	ga_s2am_ard_3-2-1_50KQD_2023-04-03_final.stac-item
2023-04-03 11:43:10	ga_s2am_ard_3-2-1_51KVT_2023-04-03_final.stac-item
2023-04-03 11:43:14	ga_s2am_ard_3-2-1_51KUT_2023-04-03_final.stac-item
2023-04-03 11:43:17	ga_s2am_ard_3-2-1_51KTT_2023-04-03_final.stac-item
2023-04-03 11:43:21	ga_s2am_ard_3-2-1_50KQC_2023-04-03_final.stac-item
2023-04-03 11:43:32	ga_s2am_ard_3-2-1_51KTS_2023-04-03_final.stac-item
2023-04-03 11:43:35	ga_s2am_ard_3-2-1_50KQB_2023-04-03_final.stac-item
2023-04-03 11:44:30	ga_s2am_ard_3-2-1_51JTN_2023-04-03_final.stac-item
2023-04-03 11:44:50	ga_s2am_ard_3-2-1_51JUL_2023-04-03_final.stac-item
2023-04-03 11:44:56	ga_s2am_ard_3-2-1_51JTL_2023-04-03_final.stac-item
2023-04-03 11:44:57	ga_s2am_ard_3-2-1_50JQR_2023-04-03_final.stac-item
2023-04-03 11:44:59	ga_s2am_ard_3-2-1_50JPR_2023-04-03_final.stac-item
2023-04-03 11:45:02	ga_s2am_ard_3-2-1_51JTL_2023-04-03_final.stac-item
2023-04-03 11:45:04	ga_s2am_ard_3-2-1_50JQR_2023-04-03_final.stac-item
2023-04-03 11:45:10	ga_s2am_ard_3-2-1_50JNR_2023-04-03_final.stac-item
2023-04-03 11:45:17	ga_s2am_ard_3-2-1_50JQQ_2023-04-03_final.stac-item
2023-04-03 11:45:20	ga_s2am_ard_3-2-1_50JPQ_2023-04-03_final.stac-item
2023-04-03 11:45:31	ga_s2am_ard_3-2-1_50JQP_2023-04-03_final.stac-item
2023-04-03 11:45:56	ga_s2am_ard_3-2-1_51JTG_2023-04-03_final.stac-item
2023-04-03 11:46:00	ga_s2am_ard_3-2-1_50JQM_2023-04-03_final.stac-item
2023-04-03 11:46:07	ga_s2am_ard_3-2-1_50JNM_2023-04-03_final.stac-item
2023-04-03 11:46:12	ga_s2am_ard_3-2-1_50JMM_2023-04-03_final.stac-item
2023-04-03 11:46:22	ga_s2am_ard_3-2-1_50JNL_2023-04-03_final.stac-item
2023-04-03 11:46:25	ga_s2am_ard_3-2-1_50JML_2023-04-03_final.stac-item
2023-04-03 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-04-03_final.stac-item
2023-04-03 11:46:52	ga_s2am_ard_3-2-1_50HQH_2023-04-03_final.stac-item
2023-04-03 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-04-03_final.stac-item
2023-04-03 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-04-03_final.stac-item
2023-04-03 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-04-03_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