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
2023-06-20 11:00:18	ga_s2am_ard_3-2-1_53LKJ_2023-06-20_final.stac-item
2023-06-20 11:00:26	ga_s2am_ard_3-2-1_53LMH_2023-06-20_final.stac-item
2023-06-20 11:00:41	ga_s2am_ard_3-2-1_52LGN_2023-06-20_final.stac-item
2023-06-20 11:00:49	ga_s2am_ard_3-2-1_52LHM_2023-06-20_final.stac-item
2023-06-20 11:00:52	ga_s2am_ard_3-2-1_52LGM_2023-06-20_final.stac-item
2023-06-20 11:01:16	ga_s2am_ard_3-2-1_53LKE_2023-06-20_final.stac-item
2023-06-20 11:01:21	ga_s2am_ard_3-2-1_52LGK_2023-06-20_final.stac-item
2023-06-20 11:01:50	ga_s2am_ard_3-2-1_52LGH_2023-06-20_final.stac-item
2023-06-20 11:02:19	ga_s2am_ard_3-2-1_52KGF_2023-06-20_final.stac-item
2023-06-20 11:02:22	ga_s2am_ard_3-2-1_52KFF_2023-06-20_final.stac-item
2023-06-20 11:02:33	ga_s2am_ard_3-2-1_52KGE_2023-06-20_final.stac-item
2023-06-20 11:02:37	ga_s2am_ard_3-2-1_52KFE_2023-06-20_final.stac-item
2023-06-20 11:02:48	ga_s2am_ard_3-2-1_52KGD_2023-06-20_final.stac-item
2023-06-20 11:02:51	ga_s2am_ard_3-2-1_52KFD_2023-06-20_final.stac-item
2023-06-20 11:03:02	ga_s2am_ard_3-2-1_52KGC_2023-06-20_final.stac-item
2023-06-20 11:03:06	ga_s2am_ard_3-2-1_52KFC_2023-06-20_final.stac-item
2023-06-20 11:03:24	ga_s2am_ard_3-2-1_52KEB_2023-06-20_final.stac-item
2023-06-20 11:03:38	ga_s2am_ard_3-2-1_52KEA_2023-06-20_final.stac-item
2023-06-20 11:03:53	ga_s2am_ard_3-2-1_52KEV_2023-06-20_final.stac-item
2023-06-20 11:03:57	ga_s2am_ard_3-2-1_52KDV_2023-06-20_final.stac-item
2023-06-20 11:04:10	ga_s2am_ard_3-2-1_52KDU_2023-06-20_final.stac-item
2023-06-20 11:04:22	ga_s2am_ard_3-2-1_52JET_2023-06-20_final.stac-item
2023-06-20 11:04:25	ga_s2am_ard_3-2-1_52JDT_2023-06-20_final.stac-item
2023-06-20 11:04:40	ga_s2am_ard_3-2-1_52JDS_2023-06-20_final.stac-item
2023-06-20 11:04:51	ga_s2am_ard_3-2-1_52JER_2023-06-20_final.stac-item
2023-06-20 11:05:02	ga_s2am_ard_3-2-1_52JFQ_2023-06-20_final.stac-item
2023-06-20 11:05:05	ga_s2am_ard_3-2-1_52JEQ_2023-06-20_final.stac-item
2023-06-20 11:05:16	ga_s2am_ard_3-2-1_52JFP_2023-06-20_final.stac-item
2023-06-20 11:05:49	ga_s2am_ard_3-2-1_52JEM_2023-06-20_final.stac-item
2023-06-20 11:05:56	ga_s2am_ard_3-2-1_52JCM_2023-06-20_final.stac-item
2023-06-20 11:06:03	ga_s2am_ard_3-2-1_52JEL_2023-06-20_final.stac-item
2023-06-20 11:06:07	ga_s2am_ard_3-2-1_52JDL_2023-06-20_final.stac-item
2023-06-20 11:06:10	ga_s2am_ard_3-2-1_52JCL_2023-06-20_final.stac-item
2023-06-20 11:06:28	ga_s2am_ard_3-2-1_52HBK_2023-06-20_final.stac-item
2023-06-20 11:06:39	ga_s2am_ard_3-2-1_51HYD_2023-06-20_final.stac-item
2023-06-21 10:29:58	ga_s2am_ard_3-2-1_54LXP_2023-06-21_final.stac-item
2023-06-21 10:30:16	ga_s2am_ard_3-2-1_54LWN_2023-06-21_final.stac-item
2023-06-21 10:31:54	ga_s2am_ard_3-2-1_53KRB_2023-06-21_final.stac-item
2023-06-21 10:32:08	ga_s2am_ard_3-2-1_53KRA_2023-06-21_final.stac-item
2023-06-21 10:32:14	ga_s2am_ard_3-2-1_53KQA_2023-06-21_final.stac-item
2023-06-21 10:32:15	ga_s2am_ard_3-2-1_54KVE_2023-06-21_final.stac-item
2023-06-21 10:32:22	ga_s2am_ard_3-2-1_54KTE_2023-06-21_final.stac-item
2023-06-21 10:32:51	ga_s2am_ard_3-2-1_54KTC_2023-06-21_final.stac-item
2023-06-21 10:32:55	ga_s2am_ard_3-2-1_53KQT_2023-06-21_final.stac-item
2023-06-21 10:33:06	ga_s2am_ard_3-2-1_53KRS_2023-06-21_final.stac-item
2023-06-21 10:33:20	ga_s2am_ard_3-2-1_53KRR_2023-06-21_final.stac-item
2023-06-21 10:33:28	ga_s2am_ard_3-2-1_53KPR_2023-06-21_final.stac-item
2023-06-21 10:33:31	ga_s2am_ard_3-2-1_54KUV_2023-06-21_final.stac-item
2023-06-21 10:33:35	ga_s2am_ard_3-2-1_54KTV_2023-06-21_final.stac-item
2023-06-21 10:33:41	ga_s2am_ard_3-2-1_54KTV_2023-06-21_final.stac-item
2023-06-21 10:33:42	ga_s2am_ard_3-2-1_54KTU_2023-06-21_final.stac-item
2023-06-21 10:33:49	ga_s2am_ard_3-2-1_54KTU_2023-06-21_final.stac-item
2023-06-21 10:33:53	ga_s2am_ard_3-2-1_53KQP_2023-06-21_final.stac-item
2023-06-21 10:33:55	ga_s2am_ard_3-2-1_54JUT_2023-06-21_final.stac-item
2023-06-21 10:34:11	ga_s2am_ard_3-2-1_53JPN_2023-06-21_final.stac-item
2023-06-21 10:34:18	ga_s2am_ard_3-2-1_53JRM_2023-06-21_final.stac-item
2023-06-21 10:34:22	ga_s2am_ard_3-2-1_53JQM_2023-06-21_final.stac-item
2023-06-21 10:34:25	ga_s2am_ard_3-2-1_53JPM_2023-06-21_final.stac-item
2023-06-21 10:34:29	ga_s2am_ard_3-2-1_53JNM_2023-06-21_final.stac-item
2023-06-21 10:35:05	ga_s2am_ard_3-2-1_53JQJ_2023-06-21_final.stac-item
2023-06-21 10:35:09	ga_s2am_ard_3-2-1_53JPJ_2023-06-21_final.stac-item
2023-06-21 10:35:19	ga_s2am_ard_3-2-1_53JMJ_2023-06-21_final.stac-item
2023-06-21 10:35:27	ga_s2am_ard_3-2-1_53JNH_2023-06-21_final.stac-item
2023-06-21 10:35:31	ga_s2am_ard_3-2-1_53JMH_2023-06-21_final.stac-item
2023-06-21 10:35:41	ga_s2am_ard_3-2-1_53JNG_2023-06-21_final.stac-item
2023-06-21 10:36:07	ga_s2am_ard_3-2-1_53HPE_2023-06-21_final.stac-item
2023-06-21 10:36:14	ga_s2am_ard_3-2-1_53HME_2023-06-21_final.stac-item
2023-06-21 10:36:50	ga_s2am_ard_3-2-1_53HPB_2023-06-21_final.stac-item
2023-06-21 10:36:54	ga_s2am_ard_3-2-1_53HNB_2023-06-21_final.stac-item
2023-06-21 12:13:58	ga_s2am_ard_3-2-1_50KKA_2023-06-21_final.stac-item
2023-06-21 12:13:58	ga_s2am_ard_3-2-1_49KHR_2023-06-21_final.stac-item
2023-06-21 12:14:02	ga_s2am_ard_3-2-1_49KGR_2023-06-21_final.stac-item
2023-06-21 12:14:11	ga_s2am_ard_3-2-1_50KKV_2023-06-21_final.stac-item
2023-06-21 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2023-06-21_final.stac-item
2023-06-21 12:14:25	ga_s2am_ard_3-2-1_49KHP_2023-06-21_final.stac-item
2023-06-21 12:14:35	ga_s2am_ard_3-2-1_49JHN_2023-06-21_final.stac-item
2023-06-21 12:14:45	ga_s2am_ard_3-2-1_49JGN_2023-06-21_final.stac-item
2023-06-21 12:14:49	ga_s2am_ard_3-2-1_49JFN_2023-06-21_final.stac-item
2023-06-21 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-21_final.stac-item
2023-06-21 12:15:03	ga_s2am_ard_3-2-1_49JFM_2023-06-21_final.stac-item
2023-06-21 12:15:14	ga_s2am_ard_3-2-1_49JGL_2023-06-21_final.stac-item
2023-06-30 09:25:22	ga_s2am_ard_3-2-1_56JPL_2023-06-29_nrt.stac-item
2023-06-30 09:26:38	ga_s2am_ard_3-2-1_56HNF_2023-06-29_nrt.stac-item
2023-06-30 09:26:45	ga_s2am_ard_3-2-1_56HLF_2023-06-29_nrt.stac-item
2023-06-30 09:26:57	ga_s2am_ard_3-2-1_56HME_2023-06-29_nrt.stac-item
2023-06-30 09:27:07	ga_s2am_ard_3-2-1_56HND_2023-06-29_nrt.stac-item
2023-06-30 09:27:11	ga_s2am_ard_3-2-1_56HMD_2023-06-29_nrt.stac-item
2023-06-30 09:27:36	ga_s2am_ard_3-2-1_56HMB_2023-06-29_nrt.stac-item
2023-06-30 09:27:39	ga_s2am_ard_3-2-1_55HGS_2023-06-29_nrt.stac-item
2023-06-30 09:27:55	ga_s2am_ard_3-2-1_56GMA_2023-06-29_nrt.stac-item
2023-06-30 09:28:13	ga_s2am_ard_3-2-1_56GLV_2023-06-29_nrt.stac-item
2023-06-30 09:28:16	ga_s2am_ard_3-2-1_56GKV_2023-06-29_nrt.stac-item
2023-06-30 09:28:31	ga_s2am_ard_3-2-1_56GKU_2023-06-29_nrt.stac-item
2023-06-30 09:28:42	ga_s2am_ard_3-2-1_56GLT_2023-06-29_nrt.stac-item
2023-06-30 09:28:56	ga_s2am_ard_3-2-1_56GLS_2023-06-29_nrt.stac-item
2023-06-30 11:00:12	ga_s2am_ard_3-2-1_53LMJ_2023-06-30_nrt.stac-item
2023-06-30 11:06:32	ga_s2am_ard_3-2-1_52HEJ_2023-06-30_nrt.stac-item
2023-06-30 11:06:34	ga_s2am_ard_3-2-1_52HDJ_2023-06-30_nrt.stac-item
2023-06-30 11:06:36	ga_s2am_ard_3-2-1_52HCJ_2023-06-30_nrt.stac-item
2023-06-30 11:06:39	ga_s2am_ard_3-2-1_52HEH_2023-06-30_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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