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
2023-02-11 10:32:21	ga_s2am_ard_3-2-1_53KQV_2023-02-11_final.stac-item
2023-02-11 10:35:04	ga_s2am_ard_3-2-1_53JPJ_2023-02-11_final.stac-item
2023-02-12 10:01:30	ga_s2am_ard_3-2-1_55KEB_2023-02-12_final.stac-item
2023-02-12 10:03:17	ga_s2am_ard_3-2-1_55KBQ_2023-02-12_final.stac-item
2023-02-12 10:06:44	ga_s2am_ard_3-2-1_54HVG_2023-02-12_final.stac-item
2023-02-12 11:40:59	ga_s2am_ard_3-2-1_51LVG_2023-02-12_final.stac-item
2023-02-12 11:41:13	ga_s2am_ard_3-2-1_51LVF_2023-02-12_final.stac-item
2023-02-12 11:43:02	ga_s2am_ard_3-2-1_50KRD_2023-02-12_final.stac-item
2023-02-12 11:44:29	ga_s2am_ard_3-2-1_51JTN_2023-02-12_final.stac-item
2023-02-12 11:46:36	ga_s2am_ard_3-2-1_50HNK_2023-02-12_final.stac-item
2023-02-12 11:46:46	ga_s2am_ard_3-2-1_50HPJ_2023-02-12_final.stac-item
2023-02-13 09:33:55	ga_s2am_ard_3-2-1_56JLS_2023-02-13_final.stac-item
2023-02-13 09:36:29	ga_s2am_ard_3-2-1_55HFB_2023-02-13_final.stac-item
2023-02-13 11:10:23	ga_s2am_ard_3-2-1_52LHN_2023-02-13_final.stac-item
2023-02-13 11:11:39	ga_s2am_ard_3-2-1_52LFH_2023-02-13_final.stac-item
2023-02-13 11:13:20	ga_s2am_ard_3-2-1_52KCB_2023-02-13_final.stac-item
2023-02-13 11:16:10	ga_s2am_ard_3-2-1_51JXF_2023-02-13_final.stac-item
2023-02-14 10:42:42	ga_s2am_ard_3-2-1_53KNU_2023-02-14_final.stac-item
2023-02-14 10:42:44	ga_s2am_ard_3-2-1_53KMU_2023-02-14_final.stac-item
2023-02-15 10:15:44	ga_s2am_ard_3-2-1_54JUL_2023-02-15_final.stac-item
2023-02-15 11:53:44	ga_s2am_ard_3-2-1_50KQA_2023-02-15_final.stac-item
2023-02-15 11:55:53	ga_s2am_ard_3-2-1_50JLN_2023-02-15_final.stac-item
2023-02-15 11:56:01	ga_s2am_ard_3-2-1_50JNM_2023-02-15_final.stac-item
2023-02-16 09:43:59	ga_s2am_ard_3-2-1_55JFM_2023-02-16_final.stac-item
2023-02-16 09:46:09	ga_s2am_ard_3-2-1_55HFC_2023-02-16_final.stac-item
2023-02-16 09:46:24	ga_s2am_ard_3-2-1_55HFB_2023-02-16_final.stac-item
2023-02-16 11:22:23	ga_s2am_ard_3-2-1_51KYA_2023-02-16_final.stac-item
2023-02-16 11:24:40	ga_s2am_ard_3-2-1_52JBR_2023-02-16_final.stac-item
2023-02-16 11:24:55	ga_s2am_ard_3-2-1_51JWL_2023-02-16_final.stac-item
2023-02-16 11:25:10	ga_s2am_ard_3-2-1_51JWK_2023-02-16_final.stac-item
2023-02-16 11:25:31	ga_s2am_ard_3-2-1_51JYH_2023-02-16_final.stac-item
2023-02-16 11:26:02	ga_s2am_ard_3-2-1_51JUG_2023-02-16_final.stac-item
2023-02-16 11:26:37	ga_s2am_ard_3-2-1_51HWD_2023-02-16_final.stac-item
2023-02-17 10:50:31	ga_s2am_ard_3-2-1_53LPG_2023-02-17_final.stac-item
2023-02-17 10:54:41	ga_s2am_ard_3-2-1_52JGR_2023-02-17_final.stac-item
2023-02-18 10:23:58	ga_s2am_ard_3-2-1_54JUT_2023-02-18_final.stac-item
2023-02-18 10:24:30	ga_s2am_ard_3-2-1_54JTR_2023-02-18_final.stac-item
2023-02-18 10:26:18	ga_s2am_ard_3-2-1_53HPD_2023-02-18_final.stac-item
2023-02-18 12:04:18	ga_s2am_ard_3-2-1_50KMU_2023-02-18_final.stac-item
2023-02-18 12:05:09	ga_s2am_ard_3-2-1_49JGL_2023-02-18_final.stac-item
2023-02-19 09:53:14	ga_s2am_ard_3-2-1_55KDQ_2023-02-19_final.stac-item
2023-02-19 09:53:18	ga_s2am_ard_3-2-1_55KFP_2023-02-19_final.stac-item
2023-02-19 09:55:51	ga_s2am_ard_3-2-1_55HBE_2023-02-19_final.stac-item
2023-02-19 09:57:48	ga_s2am_ard_3-2-1_54HYB_2023-02-19_final.stac-item
2023-02-19 11:32:29	ga_s2am_ard_3-2-1_51KVA_2023-02-19_final.stac-item
2023-02-20 11:00:51	ga_s2am_ard_3-2-1_53LLF_2023-02-20_final.stac-item
2023-02-20 11:01:25	ga_s2am_ard_3-2-1_52LHJ_2023-02-20_final.stac-item
2023-02-20 11:03:16	ga_s2am_ard_3-2-1_53KKR_2023-02-20_final.stac-item
2023-02-20 11:04:18	ga_s2am_ard_3-2-1_52JDT_2023-02-20_final.stac-item
2023-02-20 11:05:28	ga_s2am_ard_3-2-1_52JEN_2023-02-20_final.stac-item
2023-02-21 10:36:19	ga_s2am_ard_3-2-1_53HND_2023-02-21_final.stac-item
2023-02-21 12:14:39	ga_s2am_ard_3-2-1_49JGN_2023-02-21_final.stac-item
2023-02-22 11:41:30	ga_s2am_ard_3-2-1_51LUE_2023-02-22_final.stac-item
2023-02-22 11:43:33	ga_s2am_ard_3-2-1_51KVR_2023-02-22_final.stac-item
2023-02-22 11:44:14	ga_s2am_ard_3-2-1_50KRU_2023-02-22_final.stac-item
2023-02-22 11:44:38	ga_s2am_ard_3-2-1_51JUM_2023-02-22_final.stac-item
2023-02-22 11:45:44	ga_s2am_ard_3-2-1_50JQN_2023-02-22_final.stac-item
2023-02-22 11:47:04	ga_s2am_ard_3-2-1_50HNH_2023-02-22_final.stac-item
2023-03-08 09:39:34	ga_s2am_ard_3-2-1_56LNP_2023-03-08_nrt.stac-item
2023-03-08 09:39:37	ga_s2am_ard_3-2-1_56LMP_2023-03-08_nrt.stac-item
2023-03-08 09:39:44	ga_s2am_ard_3-2-1_56LLP_2023-03-08_nrt.stac-item
2023-03-08 09:39:49	ga_s2am_ard_3-2-1_56LNN_2023-03-08_nrt.stac-item
2023-03-08 09:39:52	ga_s2am_ard_3-2-1_56LMN_2023-03-08_nrt.stac-item
2023-03-08 09:40:01	ga_s2am_ard_3-2-1_56LNM_2023-03-08_nrt.stac-item
2023-03-08 09:40:03	ga_s2am_ard_3-2-1_56LMM_2023-03-08_nrt.stac-item
2023-03-08 09:40:04	ga_s2am_ard_3-2-1_56LLM_2023-03-08_nrt.stac-item
2023-03-08 09:40:07	ga_s2am_ard_3-2-1_56LPL_2023-03-08_nrt.stac-item
2023-03-08 09:41:09	ga_s2am_ard_3-2-1_56LNH_2023-03-08_nrt.stac-item
2023-03-08 09:41:10	ga_s2am_ard_3-2-1_56LMH_2023-03-08_nrt.stac-item
2023-03-08 09:41:12	ga_s2am_ard_3-2-1_56LLH_2023-03-08_nrt.stac-item
2023-03-08 09:41:16	ga_s2am_ard_3-2-1_56KNG_2023-03-08_nrt.stac-item
2023-03-08 09:41:30	ga_s2am_ard_3-2-1_56KNF_2023-03-08_nrt.stac-item
2023-03-08 09:41:41	ga_s2am_ard_3-2-1_55KHA_2023-03-08_nrt.stac-item
2023-03-08 09:41:42	ga_s2am_ard_3-2-1_56KNE_2023-03-08_nrt.stac-item
2023-03-08 09:41:55	ga_s2am_ard_3-2-1_55KHV_2023-03-08_nrt.stac-item
2023-03-08 09:48:33	ga_s2am_ard_3-2-1_54GYU_2023-03-08_nrt.stac-item
2023-03-08 09:48:33	ga_s2am_ard_3-2-1_55GBP_2023-03-08_nrt.stac-item
2023-03-08 09:48:38	ga_s2am_ard_3-2-1_54GXU_2023-03-08_nrt.stac-item
2023-03-08 09:48:47	ga_s2am_ard_3-2-1_54GYT_2023-03-08_nrt.stac-item
2023-03-08 09:48:51	ga_s2am_ard_3-2-1_54GXT_2023-03-08_nrt.stac-item
2023-03-08 09:48:59	ga_s2am_ard_3-2-1_54GYS_2023-03-08_nrt.stac-item
2023-03-08 09:49:01	ga_s2am_ard_3-2-1_54GXS_2023-03-08_nrt.stac-item
2023-03-08 11:20:11	ga_s2am_ard_3-2-1_52LEP_2023-03-08_nrt.stac-item
2023-03-08 11:20:15	ga_s2am_ard_3-2-1_52LDP_2023-03-08_nrt.stac-item
2023-03-08 11:20:18	ga_s2am_ard_3-2-1_52LCP_2023-03-08_nrt.stac-item
2023-03-08 11:20:22	ga_s2am_ard_3-2-1_52LBP_2023-03-08_nrt.stac-item
2023-03-08 11:20:26	ga_s2am_ard_3-2-1_52LEN_2023-03-08_nrt.stac-item
2023-03-08 11:20:30	ga_s2am_ard_3-2-1_52LDN_2023-03-08_nrt.stac-item
2023-03-08 11:20:33	ga_s2am_ard_3-2-1_52LCN_2023-03-08_nrt.stac-item
2023-03-08 11:20:36	ga_s2am_ard_3-2-1_52LBN_2023-03-08_nrt.stac-item
2023-03-08 11:20:40	ga_s2am_ard_3-2-1_52LEM_2023-03-08_nrt.stac-item
2023-03-08 11:20:44	ga_s2am_ard_3-2-1_52LDM_2023-03-08_nrt.stac-item
2023-03-08 11:20:47	ga_s2am_ard_3-2-1_52LCM_2023-03-08_nrt.stac-item
2023-03-08 11:20:50	ga_s2am_ard_3-2-1_52LBM_2023-03-08_nrt.stac-item
2023-03-08 11:20:53	ga_s2am_ard_3-2-1_51LZG_2023-03-08_nrt.stac-item
2023-03-08 11:20:58	ga_s2am_ard_3-2-1_52LDL_2023-03-08_nrt.stac-item
2023-03-08 11:21:02	ga_s2am_ard_3-2-1_52LCL_2023-03-08_nrt.stac-item
2023-03-08 11:21:05	ga_s2am_ard_3-2-1_52LBL_2023-03-08_nrt.stac-item
2023-03-08 11:21:06	ga_s2am_ard_3-2-1_51LZF_2023-03-08_nrt.stac-item
2023-03-08 11:21:13	ga_s2am_ard_3-2-1_52LDK_2023-03-08_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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