Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2020-03-27 11:04:29	ga_s2am_ard_3-2-1_52JES_2020-03-27_final.stac-item
2020-03-27 11:04:32	ga_s2am_ard_3-2-1_52JDS_2020-03-27_final.stac-item
2020-03-27 11:04:43	ga_s2am_ard_3-2-1_52JER_2020-03-27_final.stac-item
2020-03-27 11:04:47	ga_s2am_ard_3-2-1_52JDR_2020-03-27_final.stac-item
2020-03-27 11:04:52	ga_s2am_ard_3-2-1_52JCR_2020-03-27_final.stac-item
2020-03-27 11:04:54	ga_s2am_ard_3-2-1_52JFQ_2020-03-27_final.stac-item
2020-03-27 11:04:58	ga_s2am_ard_3-2-1_52JEQ_2020-03-27_final.stac-item
2020-03-27 11:05:01	ga_s2am_ard_3-2-1_52JDQ_2020-03-27_final.stac-item
2020-03-27 11:05:04	ga_s2am_ard_3-2-1_52JCQ_2020-03-27_final.stac-item
2020-03-27 11:05:09	ga_s2am_ard_3-2-1_52JFP_2020-03-27_final.stac-item
2020-03-27 11:05:12	ga_s2am_ard_3-2-1_52JEP_2020-03-27_final.stac-item
2020-03-27 11:05:16	ga_s2am_ard_3-2-1_52JDP_2020-03-27_final.stac-item
2020-03-27 11:05:19	ga_s2am_ard_3-2-1_52JCP_2020-03-27_final.stac-item
2020-03-27 11:05:23	ga_s2am_ard_3-2-1_52JFN_2020-03-27_final.stac-item
2020-03-27 11:05:27	ga_s2am_ard_3-2-1_52JEN_2020-03-27_final.stac-item
2020-03-28 10:32:14	ga_s2am_ard_3-2-1_54KTE_2020-03-28_final.stac-item
2020-03-28 10:32:15	ga_s2am_ard_3-2-1_53KRV_2020-03-28_final.stac-item
2020-03-28 10:32:19	ga_s2am_ard_3-2-1_53KQV_2020-03-28_final.stac-item
2020-03-28 10:32:21	ga_s2am_ard_3-2-1_54KVD_2020-03-28_final.stac-item
2020-03-28 10:32:25	ga_s2am_ard_3-2-1_54KUD_2020-03-28_final.stac-item
2020-03-28 10:32:29	ga_s2am_ard_3-2-1_54KTD_2020-03-28_final.stac-item
2020-03-28 10:32:29	ga_s2am_ard_3-2-1_53KRU_2020-03-28_final.stac-item
2020-03-28 10:32:33	ga_s2am_ard_3-2-1_53KQU_2020-03-28_final.stac-item
2020-03-28 10:32:33	ga_s2am_ard_3-2-1_54KVC_2020-03-28_final.stac-item
2020-03-28 10:32:40	ga_s2am_ard_3-2-1_54KUC_2020-03-28_final.stac-item
2020-03-28 10:32:43	ga_s2am_ard_3-2-1_54KTC_2020-03-28_final.stac-item
2020-03-28 10:32:44	ga_s2am_ard_3-2-1_53KRT_2020-03-28_final.stac-item
2020-03-28 10:32:47	ga_s2am_ard_3-2-1_53KQT_2020-03-28_final.stac-item
2020-03-28 10:32:54	ga_s2am_ard_3-2-1_54KUB_2020-03-28_final.stac-item
2020-03-28 10:32:58	ga_s2am_ard_3-2-1_54KTB_2020-03-28_final.stac-item
2020-03-28 10:32:58	ga_s2am_ard_3-2-1_53KRS_2020-03-28_final.stac-item
2020-03-28 10:33:02	ga_s2am_ard_3-2-1_53KQS_2020-03-28_final.stac-item
2020-03-28 10:33:08	ga_s2am_ard_3-2-1_53KPS_2020-03-28_final.stac-item
2020-03-28 10:33:09	ga_s2am_ard_3-2-1_54KUA_2020-03-28_final.stac-item
2020-03-28 10:33:12	ga_s2am_ard_3-2-1_54KTA_2020-03-28_final.stac-item
2020-03-28 10:33:13	ga_s2am_ard_3-2-1_53KRR_2020-03-28_final.stac-item
2020-03-28 10:33:16	ga_s2am_ard_3-2-1_53KQR_2020-03-28_final.stac-item
2020-03-28 10:33:20	ga_s2am_ard_3-2-1_53KPR_2020-03-28_final.stac-item
2020-03-28 10:33:24	ga_s2am_ard_3-2-1_54KUV_2020-03-28_final.stac-item
2020-03-28 10:33:27	ga_s2am_ard_3-2-1_54KTV_2020-03-28_final.stac-item
2020-03-28 10:33:27	ga_s2am_ard_3-2-1_53KRQ_2020-03-28_final.stac-item
2020-03-28 10:33:31	ga_s2am_ard_3-2-1_53KQQ_2020-03-28_final.stac-item
2020-03-28 10:33:34	ga_s2am_ard_3-2-1_53KPQ_2020-03-28_final.stac-item
2020-03-28 10:33:37	ga_s2am_ard_3-2-1_54KUU_2020-03-28_final.stac-item
2020-03-28 10:33:41	ga_s2am_ard_3-2-1_54KTU_2020-03-28_final.stac-item
2020-03-28 10:33:42	ga_s2am_ard_3-2-1_53KRP_2020-03-28_final.stac-item
2020-03-28 10:33:45	ga_s2am_ard_3-2-1_53KQP_2020-03-28_final.stac-item
2020-03-28 10:33:48	ga_s2am_ard_3-2-1_54JUT_2020-03-28_final.stac-item
2020-03-28 10:33:49	ga_s2am_ard_3-2-1_53KPP_2020-03-28_final.stac-item
2020-03-28 10:33:56	ga_s2am_ard_3-2-1_53JRN_2020-03-28_final.stac-item
2020-03-28 10:33:56	ga_s2am_ard_3-2-1_54JTT_2020-03-28_final.stac-item
2020-03-28 10:34:00	ga_s2am_ard_3-2-1_53JQN_2020-03-28_final.stac-item
2020-03-28 10:34:03	ga_s2am_ard_3-2-1_53JPN_2020-03-28_final.stac-item
2020-03-28 10:34:10	ga_s2am_ard_3-2-1_53JNN_2020-03-28_final.stac-item
2020-03-28 10:34:10	ga_s2am_ard_3-2-1_53JRM_2020-03-28_final.stac-item
2020-03-28 10:34:10	ga_s2am_ard_3-2-1_54JTS_2020-03-28_final.stac-item
2020-03-28 10:34:14	ga_s2am_ard_3-2-1_53JQM_2020-03-28_final.stac-item
2020-03-28 10:34:18	ga_s2am_ard_3-2-1_53JPM_2020-03-28_final.stac-item
2020-03-28 10:34:21	ga_s2am_ard_3-2-1_53JNM_2020-03-28_final.stac-item
2020-03-28 10:34:25	ga_s2am_ard_3-2-1_54JTR_2020-03-28_final.stac-item
2020-03-28 10:34:29	ga_s2am_ard_3-2-1_53JQL_2020-03-28_final.stac-item
2020-03-28 10:34:32	ga_s2am_ard_3-2-1_53JPL_2020-03-28_final.stac-item
2020-03-28 10:34:35	ga_s2am_ard_3-2-1_53JNL_2020-03-28_final.stac-item
2020-03-28 10:34:40	ga_s2am_ard_3-2-1_54JTQ_2020-03-28_final.stac-item
2020-03-28 10:34:43	ga_s2am_ard_3-2-1_53JQK_2020-03-28_final.stac-item
2020-03-28 10:34:47	ga_s2am_ard_3-2-1_53JPK_2020-03-28_final.stac-item
2020-03-28 10:34:50	ga_s2am_ard_3-2-1_53JNK_2020-03-28_final.stac-item
2020-03-28 10:34:53	ga_s2am_ard_3-2-1_54JTP_2020-03-28_final.stac-item
2020-03-28 10:34:57	ga_s2am_ard_3-2-1_53JQJ_2020-03-28_final.stac-item
2020-03-28 10:35:01	ga_s2am_ard_3-2-1_53JPJ_2020-03-28_final.stac-item
2020-03-28 10:35:04	ga_s2am_ard_3-2-1_54JTN_2020-03-28_final.stac-item
2020-03-28 10:35:05	ga_s2am_ard_3-2-1_53JNJ_2020-03-28_final.stac-item
2020-03-28 10:35:11	ga_s2am_ard_3-2-1_53JMJ_2020-03-28_final.stac-item
2020-03-28 10:35:12	ga_s2am_ard_3-2-1_53JQH_2020-03-28_final.stac-item
2020-03-28 10:35:16	ga_s2am_ard_3-2-1_53JPH_2020-03-28_final.stac-item
2020-03-28 10:35:19	ga_s2am_ard_3-2-1_53JNH_2020-03-28_final.stac-item
2020-03-28 10:35:23	ga_s2am_ard_3-2-1_53JMH_2020-03-28_final.stac-item
2020-03-28 10:35:26	ga_s2am_ard_3-2-1_53JQG_2020-03-28_final.stac-item
2020-03-28 10:35:30	ga_s2am_ard_3-2-1_53JPG_2020-03-28_final.stac-item
2020-03-28 10:35:34	ga_s2am_ard_3-2-1_53JNG_2020-03-28_final.stac-item
2020-03-28 10:35:37	ga_s2am_ard_3-2-1_53JMG_2020-03-28_final.stac-item
2020-03-28 10:35:40	ga_s2am_ard_3-2-1_53JQF_2020-03-28_final.stac-item
2020-03-28 10:35:45	ga_s2am_ard_3-2-1_53JPF_2020-03-28_final.stac-item
2020-03-28 10:35:48	ga_s2am_ard_3-2-1_53JNF_2020-03-28_final.stac-item
2020-03-28 10:35:52	ga_s2am_ard_3-2-1_53JMF_2020-03-28_final.stac-item
2020-03-28 10:35:53	ga_s2am_ard_3-2-1_53HQE_2020-03-28_final.stac-item
2020-03-28 10:35:59	ga_s2am_ard_3-2-1_53HPE_2020-03-28_final.stac-item
2020-03-28 10:36:03	ga_s2am_ard_3-2-1_53HNE_2020-03-28_final.stac-item
2020-03-28 10:36:06	ga_s2am_ard_3-2-1_53HME_2020-03-28_final.stac-item
2020-03-28 10:36:13	ga_s2am_ard_3-2-1_53HLE_2020-03-28_final.stac-item
2020-03-28 10:36:13	ga_s2am_ard_3-2-1_53HPD_2020-03-28_final.stac-item
2020-03-28 10:36:17	ga_s2am_ard_3-2-1_53HND_2020-03-28_final.stac-item
2020-03-28 10:36:21	ga_s2am_ard_3-2-1_53HMD_2020-03-28_final.stac-item
2020-03-28 10:36:24	ga_s2am_ard_3-2-1_53HLD_2020-03-28_final.stac-item
2020-03-28 10:36:28	ga_s2am_ard_3-2-1_53HPC_2020-03-28_final.stac-item
2020-03-28 10:36:32	ga_s2am_ard_3-2-1_53HNC_2020-03-28_final.stac-item
2020-03-28 10:36:42	ga_s2am_ard_3-2-1_53HPB_2020-03-28_final.stac-item
2020-03-28 10:36:46	ga_s2am_ard_3-2-1_53HNB_2020-03-28_final.stac-item
2020-03-28 10:36:50	ga_s2am_ard_3-2-1_53HMB_2020-03-28_final
2020-03-28 10:36:55	ga_s2am_ard_3-2-1_53HPA_2020-03-28_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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