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
2023-03-14 11:43:15	ga_s2am_ard_3-2-1_50KRC_2023-03-14_final.stac-item
2023-03-18 11:24:53	ga_s2am_ard_3-2-1_51JXL_2023-03-18_final.stac-item
2023-03-18 11:25:07	ga_s2am_ard_3-2-1_51JXK_2023-03-18_final.stac-item
2023-03-18 11:27:00	ga_s2am_ard_3-2-1_51HUC_2023-03-18_final.stac-item
2023-03-19 10:55:00	ga_s2am_ard_3-2-1_52JFQ_2023-03-19_final.stac-item
2023-03-19 10:56:09	ga_s2am_ard_3-2-1_52HGK_2023-03-19_final.stac-item
2023-03-20 12:04:11	ga_s2am_ard_3-2-1_50KKV_2023-03-20_final.stac-item
2023-03-20 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2023-03-20_final.stac-item
2023-03-20 12:04:25	ga_s2am_ard_3-2-1_49KHP_2023-03-20_final.stac-item
2023-03-20 12:04:31	ga_s2am_ard_3-2-1_49JHN_2023-03-20_final.stac-item
2023-03-20 12:04:41	ga_s2am_ard_3-2-1_49JHN_2023-03-20_final.stac-item
2023-03-20 12:04:41	ga_s2am_ard_3-2-1_50JKT_2023-03-20_final.stac-item
2023-03-20 12:04:44	ga_s2am_ard_3-2-1_49JGN_2023-03-20_final.stac-item
2023-03-20 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-03-20_final.stac-item
2023-03-20 12:04:55	ga_s2am_ard_3-2-1_50JKS_2023-03-20_final.stac-item
2023-03-20 12:05:06	ga_s2am_ard_3-2-1_50JLR_2023-03-20_final.stac-item
2023-03-20 12:05:10	ga_s2am_ard_3-2-1_50JKR_2023-03-20_final.stac-item
2023-03-21 11:31:23	ga_s2am_ard_3-2-1_51LYE_2023-03-21_final.stac-item
2023-03-21 11:31:37	ga_s2am_ard_3-2-1_51LYD_2023-03-21_final.stac-item
2023-03-21 11:32:13	ga_s2am_ard_3-2-1_51KWB_2023-03-21_final.stac-item
2023-03-21 11:32:18	ga_s2am_ard_3-2-1_51KVB_2023-03-21_final.stac-item
2023-03-21 11:32:24	ga_s2am_ard_3-2-1_51KXA_2023-03-21_final.stac-item
2023-03-21 11:32:35	ga_s2am_ard_3-2-1_51KYV_2023-03-21_final.stac-item
2023-03-21 11:32:42	ga_s2am_ard_3-2-1_51KWV_2023-03-21_final.stac-item
2023-03-21 11:32:49	ga_s2am_ard_3-2-1_51KYU_2023-03-21_final.stac-item
2023-03-21 11:33:07	ga_s2am_ard_3-2-1_51KXT_2023-03-21_final.stac-item
2023-03-21 11:33:20	ga_s2am_ard_3-2-1_51KUT_2023-03-21_final.stac-item
2023-03-21 11:33:22	ga_s2am_ard_3-2-1_51KXS_2023-03-21_final.stac-item
2023-03-21 11:34:23	ga_s2am_ard_3-2-1_51JWN_2023-03-21_final.stac-item
2023-03-21 11:35:14	ga_s2am_ard_3-2-1_51JUK_2023-03-21_final.stac-item
2023-03-21 11:35:17	ga_s2am_ard_3-2-1_51JTK_2023-03-21_final.stac-item
2023-03-21 11:35:29	ga_s2am_ard_3-2-1_51JUJ_2023-03-21_final.stac-item
2023-03-21 11:35:40	ga_s2am_ard_3-2-1_51JVH_2023-03-21_final.stac-item
2023-03-21 11:36:25	ga_s2am_ard_3-2-1_50JPL_2023-03-21_final.stac-item
2023-03-21 11:37:01	ga_s2am_ard_3-2-1_50HQH_2023-03-21_final.stac-item
2023-03-21 11:37:25	ga_s2am_ard_3-2-1_50HNG_2023-03-21_final.stac-item
2023-03-22 11:04:20	ga_s2am_ard_3-2-1_52JDT_2023-03-22_final.stac-item
2023-03-22 11:04:31	ga_s2am_ard_3-2-1_52JES_2023-03-22_final.stac-item
2023-03-22 11:04:42	ga_s2am_ard_3-2-1_52JFR_2023-03-22_final.stac-item
2023-03-22 11:04:54	ga_s2am_ard_3-2-1_52JCR_2023-03-22_final.stac-item
2023-03-22 11:05:58	ga_s2am_ard_3-2-1_52JEL_2023-03-22_final.stac-item
2023-03-23 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-03-23_final.stac-item
2023-03-23 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2023-03-23_final.stac-item
2023-03-23 12:14:17	ga_s2am_ard_3-2-1_50KKU_2023-03-23_final.stac-item
2023-03-23 12:14:19	ga_s2am_ard_3-2-1_49KHP_2023-03-23_final.stac-item
2023-03-23 12:14:44	ga_s2am_ard_3-2-1_49JFN_2023-03-23_final.stac-item
2023-03-24 11:42:08	ga_s2am_ard_3-2-1_51KWB_2023-03-24_final.stac-item
2023-03-24 11:42:20	ga_s2am_ard_3-2-1_51KWA_2023-03-24_final.stac-item
2023-03-24 11:42:30	ga_s2am_ard_3-2-1_51KUA_2023-03-24_final.stac-item
2023-03-24 11:42:59	ga_s2am_ard_3-2-1_51KUU_2023-03-24_final.stac-item
2023-03-24 11:43:32	ga_s2am_ard_3-2-1_50KRB_2023-03-24_final.stac-item
2023-03-24 11:44:09	ga_s2am_ard_3-2-1_50KPV_2023-03-24_final.stac-item
2023-03-24 11:44:15	ga_s2am_ard_3-2-1_51KTP_2023-03-24_final.stac-item
2023-03-24 11:44:36	ga_s2am_ard_3-2-1_50JPT_2023-03-24_final.stac-item
2023-03-24 11:44:47	ga_s2am_ard_3-2-1_50JQS_2023-03-24_final.stac-item
2023-03-24 11:45:02	ga_s2am_ard_3-2-1_51JTL_2023-03-24_final.stac-item
2023-03-24 11:45:13	ga_s2am_ard_3-2-1_51JTK_2023-03-24_final.stac-item
2023-03-24 11:45:49	ga_s2am_ard_3-2-1_50JPN_2023-03-24_final.stac-item
2023-03-24 11:45:52	ga_s2am_ard_3-2-1_50JNN_2023-03-24_final.stac-item
2023-03-24 11:46:03	ga_s2am_ard_3-2-1_50JPM_2023-03-24_final.stac-item
2023-03-24 11:46:28	ga_s2am_ard_3-2-1_50HQK_2023-03-24_final.stac-item
2023-03-24 11:46:52	ga_s2am_ard_3-2-1_50HQH_2023-03-24_final.stac-item
2023-03-24 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-03-24_final.stac-item
2023-03-24 11:47:13	ga_s2am_ard_3-2-1_50HLH_2023-03-24_final.stac-item
2023-03-24 11:47:25	ga_s2am_ard_3-2-1_50HLG_2023-03-24_final.stac-item
2023-05-04 11:14:17	ga_s2am_ard_3-2-1_52JDT_2023-05-04_final.stac-item
2023-05-04 11:14:21	ga_s2am_ard_3-2-1_52JCT_2023-05-04_final.stac-item
2023-05-04 11:14:24	ga_s2am_ard_3-2-1_52JBT_2023-05-04_final.stac-item
2023-05-04 11:14:35	ga_s2am_ard_3-2-1_52JCS_2023-05-04_final.stac-item
2023-05-04 11:14:50	ga_s2am_ard_3-2-1_52JCR_2023-05-04_final.stac-item
2023-05-04 11:16:23	ga_s2am_ard_3-2-1_51HYE_2023-05-04_final.stac-item
2023-05-04 11:16:44	ga_s2am_ard_3-2-1_51HWD_2023-05-04_final.stac-item
2023-05-05 10:46:15	ga_s2am_ard_3-2-1_52HGK_2023-05-05_final.stac-item
2023-05-16 11:50:24	ga_s2am_ard_3-2-1_51LVJ_2023-05-16_nrt.stac-item
2023-05-16 11:51:08	ga_s2am_ard_3-2-1_50LQM_2023-05-16_nrt.stac-item
2023-05-16 11:51:23	ga_s2am_ard_3-2-1_50LQL_2023-05-16_nrt.stac-item
2023-05-16 11:51:27	ga_s2am_ard_3-2-1_50LPL_2023-05-16_nrt.stac-item
2023-05-16 11:51:37	ga_s2am_ard_3-2-1_50LQK_2023-05-16_nrt.stac-item
2023-05-16 11:51:40	ga_s2am_ard_3-2-1_50LPK_2023-05-16_nrt.stac-item
2023-05-16 11:51:52	ga_s2am_ard_3-2-1_50LQJ_2023-05-16_nrt.stac-item
2023-05-16 11:52:06	ga_s2am_ard_3-2-1_50LQH_2023-05-16_nrt.stac-item
2023-05-16 11:52:09	ga_s2am_ard_3-2-1_50LPH_2023-05-16_nrt.stac-item
2023-05-16 11:52:16	ga_s2am_ard_3-2-1_51KTB_2023-05-16_nrt.stac-item
2023-05-16 11:52:29	ga_s2am_ard_3-2-1_50KNG_2023-05-16_nrt.stac-item
2023-05-16 11:52:42	ga_s2am_ard_3-2-1_50KNF_2023-05-16_nrt.stac-item
2023-05-16 11:52:56	ga_s2am_ard_3-2-1_50KNE_2023-05-16_nrt.stac-item
2023-05-16 11:53:11	ga_s2am_ard_3-2-1_50KND_2023-05-16_nrt.stac-item
2023-05-16 11:56:30	ga_s2am_ard_3-2-1_50JKL_2023-05-16_nrt.stac-item
2023-05-16 11:56:34	ga_s2am_ard_3-2-1_49JGF_2023-05-16_nrt.stac-item
2023-05-16 11:56:44	ga_s2am_ard_3-2-1_50HKK_2023-05-16_nrt.stac-item
2023-05-16 11:56:46	ga_s2am_ard_3-2-1_49HGE_2023-05-16_nrt.stac-item
2023-05-16 11:56:59	ga_s2am_ard_3-2-1_50HKJ_2023-05-16_nrt.stac-item
2023-05-16 11:57:01	ga_s2am_ard_3-2-1_49HGD_2023-05-16_nrt.stac-item
2023-05-16 11:57:13	ga_s2am_ard_3-2-1_50HKH_2023-05-16_nrt.stac-item
2023-05-16 11:57:15	ga_s2am_ard_3-2-1_49HGC_2023-05-16_nrt.stac-item
2023-05-16 11:57:23	ga_s2am_ard_3-2-1_49HFC_2023-05-16_nrt.stac-item
2023-05-16 11:57:26	ga_s2am_ard_3-2-1_49HGB_2023-05-16_nrt.stac-item
2023-05-16 11:57:28	ga_s2am_ard_3-2-1_49HFB_2023-05-16_nrt.stac-item
2023-05-16 11:57:29	ga_s2am_ard_3-2-1_50HLF_2023-05-16_nrt.stac-item
2023-05-17 11:20:47	ga_s2am_ard_3-2-1_51LZH_2023-05-17_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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