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
2023-02-05 10:12:15	ga_s2am_ard_3-2-1_55KCU_2023-02-05_final.stac-item
2023-02-05 10:13:03	ga_s2am_ard_3-2-1_55KBR_2023-02-05_final.stac-item
2023-02-05 10:13:03	ga_s2am_ard_3-2-1_54KZA_2023-02-05_final.stac-item
2023-02-06 09:43:15	ga_s2am_ard_3-2-1_55KGQ_2023-02-06_final.stac-item
2023-02-06 09:43:37	ga_s2am_ard_3-2-1_56JLT_2023-02-06_final.stac-item
2023-02-06 09:47:43	ga_s2am_ard_3-2-1_54HYC_2023-02-06_final.stac-item
2023-02-08 10:23:16	ga_s2am_ard_3-2-1_54KXV_2023-02-08_final.stac-item
2023-02-23 11:16:34	ga_s2am_ard_3-2-1_51HYD_2023-02-23_final.stac-item
2023-02-24 10:40:41	ga_s2am_ard_3-2-1_54LTL_2023-02-24_nrt.stac-item
2023-02-25 10:09:56	ga_s2am_ard_3-2-1_55LEH_2023-02-25_nrt.stac-item
2023-02-25 11:51:16	ga_s2am_ard_3-2-1_50LRL_2023-02-25_nrt.stac-item
2023-02-25 11:51:45	ga_s2am_ard_3-2-1_50LRJ_2023-02-25_nrt.stac-item
2023-02-25 11:52:13	ga_s2am_ard_3-2-1_50KRG_2023-02-25_nrt.stac-item
2023-02-25 11:52:17	ga_s2am_ard_3-2-1_50KQG_2023-02-25_final.stac-item
2023-02-26 11:21:01	ga_s2am_ard_3-2-1_52LDL_2023-02-26_nrt.stac-item
2023-02-26 11:21:04	ga_s2am_ard_3-2-1_52LCL_2023-02-26_nrt.stac-item
2023-02-26 11:21:22	ga_s2am_ard_3-2-1_52LBK_2023-02-26_final.stac-item
2023-02-26 11:21:23	ga_s2am_ard_3-2-1_51LZE_2023-02-26_final.stac-item
2023-02-28 10:27:14	ga_s2am_ard_3-2-1_53HNV_2023-02-28_nrt.stac-item
2023-03-01 11:30:18	ga_s2am_ard_3-2-1_52LBP_2023-03-01_nrt.stac-item
2023-03-01 11:30:20	ga_s2am_ard_3-2-1_51LZJ_2023-03-01_nrt.stac-item
2023-03-01 11:30:33	ga_s2am_ard_3-2-1_52LBN_2023-03-01_nrt.stac-item
2023-03-01 11:30:35	ga_s2am_ard_3-2-1_51LZH_2023-03-01_nrt.stac-item
2023-03-02 11:02:27	ga_s2am_ard_3-2-1_52KGE_2023-03-02_final.stac-item
2023-03-03 10:33:10	ga_s2am_ard_3-2-1_54KUA_2023-03-03_final.stac-item
2023-03-04 10:02:41	ga_s2am_ard_3-2-1_55KES_2023-03-04_final.stac-item
2023-03-04 10:02:51	ga_s2am_ard_3-2-1_55KBS_2023-03-04_final.stac-item
2023-03-04 10:03:06	ga_s2am_ard_3-2-1_55KEQ_2023-03-04_final.stac-item
2023-03-06 10:41:20	ga_s2am_ard_3-2-1_53LPD_2023-03-06_final.stac-item
2023-03-06 10:41:34	ga_s2am_ard_3-2-1_53LPC_2023-03-06_final.stac-item
2023-03-06 10:41:56	ga_s2am_ard_3-2-1_53KRA_2023-03-06_final.stac-item
2023-03-06 10:42:19	ga_s2am_ard_3-2-1_53KRU_2023-03-06_final.stac-item
2023-03-07 10:12:50	ga_s2am_ard_3-2-1_54KYB_2023-03-07_final.stac-item
2023-03-07 10:12:56	ga_s2am_ard_3-2-1_54KWB_2023-03-07_final.stac-item
2023-03-07 10:12:57	ga_s2am_ard_3-2-1_54KYB_2023-03-07_final.stac-item
2023-03-07 10:13:05	ga_s2am_ard_3-2-1_54KYA_2023-03-07_final.stac-item
2023-03-07 10:14:54	ga_s2am_ard_3-2-1_54JYN_2023-03-07_final.stac-item
2023-03-07 11:51:22	ga_s2am_ard_3-2-1_50LPL_2023-03-07_nrt.stac-item
2023-03-08 09:44:21	ga_s2am_ard_3-2-1_55JEL_2023-03-08_final.stac-item
2023-03-10 10:22:43	ga_s2am_ard_3-2-1_54KUC_2023-03-10_final.stac-item
2023-03-10 10:22:55	ga_s2am_ard_3-2-1_54KVB_2023-03-10_final.stac-item
2023-03-10 10:22:58	ga_s2am_ard_3-2-1_54KUB_2023-03-10_final.stac-item
2023-03-10 10:23:09	ga_s2am_ard_3-2-1_54KVA_2023-03-10_final.stac-item
2023-03-10 10:23:12	ga_s2am_ard_3-2-1_54KXV_2023-03-10_final.stac-item
2023-03-10 10:23:12	ga_s2am_ard_3-2-1_54KUA_2023-03-10_final.stac-item
2023-03-11 09:54:04	ga_s2am_ard_3-2-1_55JCM_2023-03-11_final.stac-item
2023-03-11 09:54:12	ga_s2am_ard_3-2-1_55JEL_2023-03-11_final.stac-item
2023-03-11 09:54:18	ga_s2am_ard_3-2-1_55JCL_2023-03-11_final.stac-item
2023-03-11 09:57:41	ga_s2am_ard_3-2-1_54HWC_2023-03-11_final.stac-item
2023-03-12 09:24:37	ga_s2am_ard_3-2-1_56JMP_2023-03-11_final.stac-item
2023-03-12 09:24:52	ga_s2am_ard_3-2-1_56JMN_2023-03-11_final.stac-item
2023-03-13 10:37:05	ga_s2am_ard_3-2-1_53HPV_2023-03-13_final.stac-item
2023-03-18 11:26:45	ga_s2am_ard_3-2-1_51HXC_2023-03-18_final.stac-item
2023-03-25 11:15:37	ga_s2am_ard_3-2-1_51JYH_2023-03-25_final.stac-item
2023-03-25 11:15:39	ga_s2am_ard_3-2-1_51JXH_2023-03-25_final.stac-item
2023-03-25 11:15:44	ga_s2am_ard_3-2-1_51JYH_2023-03-25_final.stac-item
2023-03-25 11:15:56	ga_s2am_ard_3-2-1_51JXG_2023-03-25_final.stac-item
2023-03-25 11:16:10	ga_s2am_ard_3-2-1_51JXF_2023-03-25_final.stac-item
2023-03-25 11:16:18	ga_s2am_ard_3-2-1_51JWF_2023-03-25_final.stac-item
2023-03-25 11:16:21	ga_s2am_ard_3-2-1_51HYE_2023-03-25_final.stac-item
2023-03-25 11:16:25	ga_s2am_ard_3-2-1_51HXE_2023-03-25_final.stac-item
2023-03-25 11:16:35	ga_s2am_ard_3-2-1_51HYD_2023-03-25_final.stac-item
2023-03-26 10:45:56	ga_s2am_ard_3-2-1_53JKF_2023-03-26_final.stac-item
2023-03-27 10:15:53	ga_s2am_ard_3-2-1_54HWK_2023-03-27_final.stac-item
2023-03-27 10:16:08	ga_s2am_ard_3-2-1_54HWJ_2023-03-27_final.stac-item
2023-03-27 10:16:11	ga_s2am_ard_3-2-1_54HVJ_2023-03-27_final.stac-item
2023-03-27 10:16:32	ga_s2am_ard_3-2-1_54HTH_2023-03-27_final.stac-item
2023-03-27 11:53:29	ga_s2am_ard_3-2-1_50KMC_2023-03-27_final.stac-item
2023-03-28 09:45:09	ga_s2am_ard_3-2-1_55JGG_2023-03-28_final.stac-item
2023-03-28 09:45:28	ga_s2am_ard_3-2-1_55JFF_2023-03-28_final.stac-item
2023-03-28 09:45:31	ga_s2am_ard_3-2-1_55JEF_2023-03-28_final.stac-item
2023-03-28 09:45:46	ga_s2am_ard_3-2-1_55HEE_2023-03-28_final.stac-item
2023-03-28 09:46:15	ga_s2am_ard_3-2-1_55HGB_2023-03-28_final.stac-item
2023-03-30 12:04:44	ga_s2am_ard_3-2-1_49JGN_2023-03-30_final.stac-item
2023-03-30 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-03-30_final.stac-item
2023-03-30 12:04:56	ga_s2am_ard_3-2-1_50JMR_2023-03-30_final.stac-item
2023-03-31 11:34:41	ga_s2am_ard_3-2-1_51JVM_2023-03-31_final.stac-item
2023-03-31 11:35:46	ga_s2am_ard_3-2-1_51JTH_2023-03-31_final.stac-item
2023-03-31 11:35:49	ga_s2am_ard_3-2-1_50JQN_2023-03-31_final.stac-item
2023-03-31 11:36:01	ga_s2am_ard_3-2-1_51JTG_2023-03-31_final.stac-item
2023-04-01 09:24:37	ga_s2am_ard_3-2-1_56JNP_2023-03-31_final.stac-item
2023-04-01 11:04:23	ga_s2am_ard_3-2-1_52JGS_2023-04-01_final.stac-item
2023-04-02 10:37:06	ga_s2am_ard_3-2-1_53HLA_2023-04-02_nrt.stac-item
2023-04-03 11:42:04	ga_s2am_ard_3-2-1_51LTC_2023-04-03_nrt.stac-item
2023-04-04 09:35:57	ga_s2am_ard_3-2-1_56HMH_2023-04-04_nrt.stac-item
2023-04-05 10:40:43	ga_s2am_ard_3-2-1_54LTL_2023-04-05_nrt.stac-item
2023-04-06 10:17:40	ga_s2am_ard_3-2-1_54HTC_2023-04-06_nrt.stac-item
2023-04-07 11:20:16	ga_s2am_ard_3-2-1_52LEP_2023-04-07_nrt.stac-item
2023-04-07 11:20:37	ga_s2am_ard_3-2-1_52LCN_2023-04-07_nrt.stac-item
2023-04-07 11:20:40	ga_s2am_ard_3-2-1_52LBN_2023-04-07_nrt.stac-item
2023-04-07 11:20:45	ga_s2am_ard_3-2-1_52LEM_2023-04-07_nrt.stac-item
2023-04-07 11:20:52	ga_s2am_ard_3-2-1_52LCM_2023-04-07_nrt.stac-item
2023-04-07 11:21:06	ga_s2am_ard_3-2-1_52LCL_2023-04-07_nrt.stac-item
2023-04-07 11:21:10	ga_s2am_ard_3-2-1_52LBL_2023-04-07_nrt.stac-item
2023-04-07 11:21:11	ga_s2am_ard_3-2-1_51LZF_2023-04-07_nrt.stac-item
2023-04-09 12:01:44	ga_s2am_ard_3-2-1_50LNJ_2023-04-09_nrt.stac-item
2023-04-10 11:30:29	ga_s2am_ard_3-2-1_51LXJ_2023-04-10_nrt.stac-item
2023-04-13 10:00:27	ga_s2am_ard_3-2-1_55LGF_2023-04-13_nrt.stac-item
2023-04-13 11:42:20	ga_s2am_ard_3-2-1_51KTB_2023-04-13_nrt.stac-item
2023-11-15 10:25:23	ga_s2am_ard_3-2-1_54JVM_2023-11-15_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

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