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
2023-05-02 10:31:49	ga_s2am_ard_3-2-1_54KTG_2023-05-02_final.stac-item
2023-05-02 10:32:11	ga_s2am_ard_3-2-1_53KQA_2023-05-02_final.stac-item
2023-05-02 10:32:15	ga_s2am_ard_3-2-1_54KUE_2023-05-02_final.stac-item
2023-05-02 10:32:19	ga_s2am_ard_3-2-1_53KRV_2023-05-02_final.stac-item
2023-05-02 10:32:52	ga_s2am_ard_3-2-1_53KQT_2023-05-02_final.stac-item
2023-05-02 10:32:59	ga_s2am_ard_3-2-1_54KUB_2023-05-02_final.stac-item
2023-05-02 10:33:02	ga_s2am_ard_3-2-1_54KTB_2023-05-02_final.stac-item
2023-05-02 10:33:06	ga_s2am_ard_3-2-1_53KQS_2023-05-02_final.stac-item
2023-05-02 10:33:13	ga_s2am_ard_3-2-1_54KUA_2023-05-02_final.stac-item
2023-05-02 10:33:17	ga_s2am_ard_3-2-1_54KTA_2023-05-02_final.stac-item
2023-05-02 10:33:52	ga_s2am_ard_3-2-1_53KQP_2023-05-02_final.stac-item
2023-05-02 10:34:08	ga_s2am_ard_3-2-1_53JPN_2023-05-02_final.stac-item
2023-05-02 10:34:14	ga_s2am_ard_3-2-1_53JRM_2023-05-02_final.stac-item
2023-05-02 10:34:15	ga_s2am_ard_3-2-1_54JTS_2023-05-02_final.stac-item
2023-05-02 10:34:18	ga_s2am_ard_3-2-1_53JQM_2023-05-02_final.stac-item
2023-05-02 10:34:40	ga_s2am_ard_3-2-1_53JNL_2023-05-02_final.stac-item
2023-05-02 10:35:01	ga_s2am_ard_3-2-1_53JQJ_2023-05-02_final.stac-item
2023-05-02 10:35:05	ga_s2am_ard_3-2-1_53JPJ_2023-05-02_final.stac-item
2023-05-02 10:35:16	ga_s2am_ard_3-2-1_53JQH_2023-05-02_final.stac-item
2023-05-02 10:35:20	ga_s2am_ard_3-2-1_53JPH_2023-05-02_final.stac-item
2023-05-02 10:35:23	ga_s2am_ard_3-2-1_53JNH_2023-05-02_final.stac-item
2023-05-02 10:35:56	ga_s2am_ard_3-2-1_53HQE_2023-05-02_final.stac-item
2023-05-02 10:36:03	ga_s2am_ard_3-2-1_53HPE_2023-05-02_final.stac-item
2023-05-02 10:36:11	ga_s2am_ard_3-2-1_53HME_2023-05-02_final.stac-item
2023-05-02 10:36:17	ga_s2am_ard_3-2-1_53HLE_2023-05-02_final.stac-item
2023-05-02 10:36:50	ga_s2am_ard_3-2-1_53HNB_2023-05-02_final.stac-item
2023-05-02 10:36:54	ga_s2am_ard_3-2-1_53HMB_2023-05-02_final.stac-item
2023-05-02 10:36:59	ga_s2am_ard_3-2-1_53HPA_2023-05-02_final.stac-item
2023-05-02 12:13:40	ga_s2am_ard_3-2-1_49KHS_2023-05-02_final.stac-item
2023-05-02 12:13:59	ga_s2am_ard_3-2-1_49KGR_2023-05-02_final.stac-item
2023-05-02 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2023-05-02_final.stac-item
2023-05-02 12:14:19	ga_s2am_ard_3-2-1_50KKU_2023-05-02_final.stac-item
2023-05-02 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-05-02_final.stac-item
2023-05-02 12:14:27	ga_s2am_ard_3-2-1_49KGP_2023-05-02_final.stac-item
2023-05-02 12:14:31	ga_s2am_ard_3-2-1_49JHN_2023-05-02_final.stac-item
2023-05-02 12:14:42	ga_s2am_ard_3-2-1_49JGN_2023-05-02_final.stac-item
2023-05-02 12:14:56	ga_s2am_ard_3-2-1_49JGM_2023-05-02_final.stac-item
2023-05-02 12:15:00	ga_s2am_ard_3-2-1_49JFM_2023-05-02_final.stac-item
2023-05-02 12:15:19	ga_s2am_ard_3-2-1_49JGK_2023-05-02_final.stac-item
2023-05-03 10:03:53	ga_s2am_ard_3-2-1_54JZT_2023-05-03_final.stac-item
2023-05-03 10:04:33	ga_s2am_ard_3-2-1_54JXR_2023-05-03_final.stac-item
2023-05-03 10:04:40	ga_s2am_ard_3-2-1_54JYQ_2023-05-03_final.stac-item
2023-05-03 10:04:54	ga_s2am_ard_3-2-1_54JYP_2023-05-03_final.stac-item
2023-05-03 10:05:27	ga_s2am_ard_3-2-1_54JXM_2023-05-03_final.stac-item
2023-05-03 10:05:45	ga_s2am_ard_3-2-1_54JWL_2023-05-03_final.stac-item
2023-05-03 10:05:56	ga_s2am_ard_3-2-1_54HXK_2023-05-03_final.stac-item
2023-05-03 10:06:14	ga_s2am_ard_3-2-1_54HWJ_2023-05-03_final.stac-item
2023-05-03 10:06:21	ga_s2am_ard_3-2-1_54HYH_2023-05-03_final.stac-item
2023-05-03 10:06:35	ga_s2am_ard_3-2-1_54HVH_2023-05-03_final.stac-item
2023-05-03 10:06:39	ga_s2am_ard_3-2-1_54HXG_2023-05-03_final.stac-item
2023-05-03 10:07:26	ga_s2am_ard_3-2-1_54HWD_2023-05-03_final.stac-item
2023-05-03 10:07:30	ga_s2am_ard_3-2-1_54HVD_2023-05-03_final.stac-item
2023-05-03 10:07:37	ga_s2am_ard_3-2-1_54HXC_2023-05-03_final.stac-item
2023-05-03 11:40:58	ga_s2am_ard_3-2-1_51LWG_2023-05-03_final.stac-item
2023-05-03 11:41:15	ga_s2am_ard_3-2-1_51LVF_2023-05-03_final.stac-item
2023-05-03 11:41:26	ga_s2am_ard_3-2-1_51LWE_2023-05-03_final.stac-item
2023-05-03 11:41:30	ga_s2am_ard_3-2-1_51LVE_2023-05-03_final.stac-item
2023-05-03 11:41:48	ga_s2am_ard_3-2-1_51LUD_2023-05-03_final.stac-item
2023-05-03 11:42:02	ga_s2am_ard_3-2-1_51LUC_2023-05-03_final.stac-item
2023-05-03 11:42:13	ga_s2am_ard_3-2-1_51KVB_2023-05-03_final.stac-item
2023-05-03 11:43:00	ga_s2am_ard_3-2-1_51KUU_2023-05-03_final.stac-item
2023-05-03 11:43:04	ga_s2am_ard_3-2-1_50KRD_2023-05-03_final.stac-item
2023-05-03 11:43:15	ga_s2am_ard_3-2-1_51KUT_2023-05-03_final.stac-item
2023-05-03 11:43:25	ga_s2am_ard_3-2-1_51KVS_2023-05-03_final.stac-item
2023-05-03 11:43:48	ga_s2am_ard_3-2-1_50KRA_2023-05-03_final.stac-item
2023-05-03 11:44:02	ga_s2am_ard_3-2-1_51KTQ_2023-05-03_final.stac-item
2023-05-03 11:44:06	ga_s2am_ard_3-2-1_50KQV_2023-05-03_final.stac-item
2023-05-03 11:44:13	ga_s2am_ard_3-2-1_51KUP_2023-05-03_final.stac-item
2023-05-03 11:44:16	ga_s2am_ard_3-2-1_50KRU_2023-05-03_final.stac-item
2023-05-03 11:44:16	ga_s2am_ard_3-2-1_51KTP_2023-05-03_final.stac-item
2023-05-03 11:44:28	ga_s2am_ard_3-2-1_51JUN_2023-05-03_final.stac-item
2023-05-03 11:44:35	ga_s2am_ard_3-2-1_50JQT_2023-05-03_final.stac-item
2023-05-03 11:44:49	ga_s2am_ard_3-2-1_50JQS_2023-05-03_final.stac-item
2023-05-03 11:44:53	ga_s2am_ard_3-2-1_50JPS_2023-05-03_final.stac-item
2023-05-03 11:45:07	ga_s2am_ard_3-2-1_50JPR_2023-05-03_final.stac-item
2023-05-03 11:45:15	ga_s2am_ard_3-2-1_51JTK_2023-05-03_final.stac-item
2023-05-03 11:45:47	ga_s2am_ard_3-2-1_50JQN_2023-05-03_final.stac-item
2023-05-03 11:45:57	ga_s2am_ard_3-2-1_51JTG_2023-05-03_final.stac-item
2023-05-03 11:46:05	ga_s2am_ard_3-2-1_50JPM_2023-05-03_final.stac-item
2023-05-03 11:46:13	ga_s2am_ard_3-2-1_50JMM_2023-05-03_final.stac-item
2023-05-03 11:46:23	ga_s2am_ard_3-2-1_50JNL_2023-05-03_final.stac-item
2023-05-03 11:46:26	ga_s2am_ard_3-2-1_50JML_2023-05-03_final.stac-item
2023-05-03 11:46:30	ga_s2am_ard_3-2-1_50HQK_2023-05-03_final.stac-item
2023-05-03 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2023-05-03_final.stac-item
2023-05-03 11:47:10	ga_s2am_ard_3-2-1_50HMH_2023-05-03_final.stac-item
2023-05-03 11:47:21	ga_s2am_ard_3-2-1_50HNG_2023-05-03_final.stac-item
2023-05-13 11:40:24	ga_s2am_ard_3-2-1_51LXJ_2023-05-13_nrt.stac-item
2023-05-13 11:40:28	ga_s2am_ard_3-2-1_51LWJ_2023-05-13_nrt.stac-item
2023-05-13 11:40:39	ga_s2am_ard_3-2-1_51LXH_2023-05-13_nrt.stac-item
2023-05-13 11:40:42	ga_s2am_ard_3-2-1_51LWH_2023-05-13_nrt.stac-item
2023-05-13 11:40:53	ga_s2am_ard_3-2-1_51LXG_2023-05-13_nrt.stac-item
2023-05-13 11:41:11	ga_s2am_ard_3-2-1_51LWF_2023-05-13_nrt.stac-item
2023-05-13 11:41:44	ga_s2am_ard_3-2-1_51LVD_2023-05-13_nrt.stac-item
2023-05-13 11:42:19	ga_s2am_ard_3-2-1_51KTB_2023-05-13_nrt.stac-item
2023-05-13 11:42:20	ga_s2am_ard_3-2-1_50KRG_2023-05-13_nrt.stac-item
2023-05-13 11:42:35	ga_s2am_ard_3-2-1_50KRF_2023-05-13_nrt.stac-item
2023-05-13 11:42:48	ga_s2am_ard_3-2-1_51KTV_2023-05-13_nrt.stac-item
2023-05-13 11:42:49	ga_s2am_ard_3-2-1_50KRE_2023-05-13_nrt.stac-item
2023-05-13 11:47:31	ga_s2am_ard_3-2-1_50HMF_2023-05-13_nrt.stac-item
2023-05-14 11:10:11	ga_s2am_ard_3-2-1_52LHP_2023-05-14_nrt.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

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