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
2023-05-06 11:52:34	ga_s2am_ard_3-2-1_50KQF_2023-05-06_final.stac-item
2023-05-06 11:52:49	ga_s2am_ard_3-2-1_50KQE_2023-05-06_final.stac-item
2023-05-06 11:52:59	ga_s2am_ard_3-2-1_50KRD_2023-05-06_final.stac-item
2023-05-06 11:53:07	ga_s2am_ard_3-2-1_50KPD_2023-05-06_final.stac-item
2023-05-06 11:53:21	ga_s2am_ard_3-2-1_50KPC_2023-05-06_final.stac-item
2023-05-06 11:53:39	ga_s2am_ard_3-2-1_50KNB_2023-05-06_final.stac-item
2023-05-06 11:53:50	ga_s2am_ard_3-2-1_50KPA_2023-05-06_final.stac-item
2023-05-06 11:54:01	ga_s2am_ard_3-2-1_50KQV_2023-05-06_final.stac-item
2023-05-06 11:54:08	ga_s2am_ard_3-2-1_50KNV_2023-05-06_final.stac-item
2023-05-06 11:54:40	ga_s2am_ard_3-2-1_50JMT_2023-05-06_final.stac-item
2023-05-06 11:54:48	ga_s2am_ard_3-2-1_50JPS_2023-05-06_final.stac-item
2023-05-06 11:55:03	ga_s2am_ard_3-2-1_50JPR_2023-05-06_final.stac-item
2023-05-06 11:55:35	ga_s2am_ard_3-2-1_50JNP_2023-05-06_final.stac-item
2023-05-06 11:55:39	ga_s2am_ard_3-2-1_50JMP_2023-05-06_final.stac-item
2023-05-06 11:55:53	ga_s2am_ard_3-2-1_50JMN_2023-05-06_final.stac-item
2023-05-06 11:56:11	ga_s2am_ard_3-2-1_50JLM_2023-05-06_final.stac-item
2023-05-06 11:56:18	ga_s2am_ard_3-2-1_50JNL_2023-05-06_final.stac-item
2023-05-06 11:56:37	ga_s2am_ard_3-2-1_50HMK_2023-05-06_final.stac-item
2023-05-06 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2023-05-06_final.stac-item
2023-05-06 11:57:22	ga_s2am_ard_3-2-1_50HLG_2023-05-06_final.stac-item
2023-05-07 11:26:26	ga_s2am_ard_3-2-1_51HWE_2023-05-07_final.stac-item
2023-05-07 11:26:40	ga_s2am_ard_3-2-1_51HWD_2023-05-07_final.stac-item
2023-05-07 11:27:07	ga_s2am_ard_3-2-1_51HWB_2023-05-07_final.stac-item
2023-05-07 11:27:07	ga_s2am_ard_3-2-1_51HTC_2023-05-07_final.stac-item
2023-05-07 11:27:09	ga_s2am_ard_3-2-1_51HVB_2023-05-07_final.stac-item
2023-05-09 12:03:23	ga_s2am_ard_3-2-1_50KMC_2023-05-09_final.stac-item
2023-05-09 12:03:33	ga_s2am_ard_3-2-1_50KNB_2023-05-09_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-05-09_final.stac-item
2023-05-09 12:04:10	ga_s2am_ard_3-2-1_50KLV_2023-05-09_final.stac-item
2023-05-09 12:04:13	ga_s2am_ard_3-2-1_50KKV_2023-05-09_final.stac-item
2023-05-09 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2023-05-09_final.stac-item
2023-05-09 12:04:27	ga_s2am_ard_3-2-1_50JMT_2023-05-09_final.stac-item
2023-05-09 12:04:27	ga_s2am_ard_3-2-1_50KMU_2023-05-09_final.stac-item
2023-05-09 12:04:29	ga_s2am_ard_3-2-1_50KLU_2023-05-09_final.stac-item
2023-05-09 12:04:30	ga_s2am_ard_3-2-1_49KHP_2023-05-09_final.stac-item
2023-05-09 12:04:32	ga_s2am_ard_3-2-1_49KGP_2023-05-09_final.stac-item
2023-05-09 12:04:35	ga_s2am_ard_3-2-1_50JMT_2023-05-09_final.stac-item
2023-05-09 12:04:39	ga_s2am_ard_3-2-1_50JLT_2023-05-09_final.stac-item
2023-05-09 12:04:42	ga_s2am_ard_3-2-1_49JHN_2023-05-09_final.stac-item
2023-05-09 12:04:46	ga_s2am_ard_3-2-1_49JGN_2023-05-09_final.stac-item
2023-05-09 12:04:53	ga_s2am_ard_3-2-1_50JLS_2023-05-09_final.stac-item
2023-05-09 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-05-09_final.stac-item
2023-05-09 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-05-09_final.stac-item
2023-05-09 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2023-05-09_final.stac-item
2023-05-09 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-05-09_final.stac-item
2023-05-09 12:05:40	ga_s2am_ard_3-2-1_50JKP_2023-05-09_final.stac-item
2023-05-09 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2023-05-09_final.stac-item
2023-05-09 12:05:58	ga_s2am_ard_3-2-1_49JGH_2023-05-09_final.stac-item
2023-05-09 12:06:04	ga_s2am_ard_3-2-1_50JLM_2023-05-09_final.stac-item
2023-05-09 12:06:14	ga_s2am_ard_3-2-1_50JLL_2023-05-09_final.stac-item
2023-05-10 11:34:36	ga_s2am_ard_3-2-1_50JRT_2023-05-10_final.stac-item
2023-05-10 11:34:49	ga_s2am_ard_3-2-1_51JTM_2023-05-10_final.stac-item
2023-05-10 11:35:44	ga_s2am_ard_3-2-1_51JUH_2023-05-10_final.stac-item
2023-05-10 11:35:50	ga_s2am_ard_3-2-1_50JQN_2023-05-10_final.stac-item
2023-05-10 11:36:02	ga_s2am_ard_3-2-1_51JTG_2023-05-10_final.stac-item
2023-05-10 11:36:17	ga_s2am_ard_3-2-1_51JTF_2023-05-10_final.stac-item
2023-05-10 11:36:26	ga_s2am_ard_3-2-1_50JPL_2023-05-10_final.stac-item
2023-05-10 11:36:42	ga_s2am_ard_3-2-1_51HUD_2023-05-10_final.stac-item
2023-05-10 11:36:57	ga_s2am_ard_3-2-1_51HUC_2023-05-10_final.stac-item
2023-05-10 11:37:00	ga_s2am_ard_3-2-1_51HTC_2023-05-10_final.stac-item
2023-05-10 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-05-10_final.stac-item
2023-05-10 11:37:17	ga_s2am_ard_3-2-1_50HQG_2023-05-10_final.stac-item
2023-05-10 11:37:23	ga_s2am_ard_3-2-1_50HNG_2023-05-10_final.stac-item
2023-05-10 11:37:24	ga_s2am_ard_3-2-1_50HQG_2023-05-10_final.stac-item
2023-05-10 11:37:28	ga_s2am_ard_3-2-1_50HNG_2023-05-10_final.stac-item
2023-05-12 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-05-12_final.stac-item
2023-05-12 12:14:07	ga_s2am_ard_3-2-1_50KKV_2023-05-12_final.stac-item
2023-05-12 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2023-05-12_final.stac-item
2023-05-12 12:14:20	ga_s2am_ard_3-2-1_49KHP_2023-05-12_final.stac-item
2023-05-12 12:14:26	ga_s2am_ard_3-2-1_49KGP_2023-05-12_final.stac-item
2023-05-12 12:14:44	ga_s2am_ard_3-2-1_49JFN_2023-05-12_final.stac-item
2023-05-12 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-05-12_final.stac-item
2023-05-12 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-05-12_final.stac-item
2023-05-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-05-12_final.stac-item
2023-05-13 11:43:04	ga_s2am_ard_3-2-1_50KRD_2023-05-13_final.stac-item
2023-05-13 11:44:30	ga_s2am_ard_3-2-1_50JRT_2023-05-13_final.stac-item
2023-05-13 11:44:43	ga_s2am_ard_3-2-1_51JTM_2023-05-13_final.stac-item
2023-05-13 11:44:47	ga_s2am_ard_3-2-1_50JPS_2023-05-13_final.stac-item
2023-05-13 11:44:50	ga_s2am_ard_3-2-1_50JRS_2023-05-13_final.stac-item
2023-05-13 11:45:06	ga_s2am_ard_3-2-1_50JPR_2023-05-13_final.stac-item
2023-05-13 11:45:39	ga_s2am_ard_3-2-1_50JNP_2023-05-13_final.stac-item
2023-05-13 11:45:46	ga_s2am_ard_3-2-1_50JQN_2023-05-13_final.stac-item
2023-05-13 11:45:50	ga_s2am_ard_3-2-1_50JPN_2023-05-13_final.stac-item
2023-05-13 11:46:04	ga_s2am_ard_3-2-1_50JPM_2023-05-13_final.stac-item
2023-05-13 11:46:19	ga_s2am_ard_3-2-1_50JPL_2023-05-13_final.stac-item
2023-05-13 11:46:22	ga_s2am_ard_3-2-1_50JNL_2023-05-13_final.stac-item
2023-05-13 11:46:37	ga_s2am_ard_3-2-1_50HNK_2023-05-13_final.stac-item
2023-05-13 11:46:40	ga_s2am_ard_3-2-1_50HMK_2023-05-13_final.stac-item
2023-05-13 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-05-13_final.stac-item
2023-05-13 11:47:14	ga_s2am_ard_3-2-1_50HLH_2023-05-13_final.stac-item
2023-05-13 11:47:20	ga_s2am_ard_3-2-1_50HNG_2023-05-13_final.stac-item
2023-05-14 11:16:31	ga_s2am_ard_3-2-1_51HXD_2023-05-14_final.stac-item
2023-05-14 11:16:32	ga_s2am_ard_3-2-1_51HXE_2023-05-14_final.stac-item
2023-05-14 11:16:33	ga_s2am_ard_3-2-1_51HWE_2023-05-14_final.stac-item
2023-05-14 11:16:41	ga_s2am_ard_3-2-1_51HXD_2023-05-14_final.stac-item
2023-05-14 11:16:44	ga_s2am_ard_3-2-1_51HWD_2023-05-14_final.stac-item
2023-05-23 11:42:23	ga_s2am_ard_3-2-1_50KRG_2023-05-23_nrt.stac-item
2023-05-23 11:42:38	ga_s2am_ard_3-2-1_50KRF_2023-05-23_nrt.stac-item
2023-05-23 11:47:32	ga_s2am_ard_3-2-1_50HPF_2023-05-23_nrt.stac-item
2023-05-23 11:47:34	ga_s2am_ard_3-2-1_50HNF_2023-05-23_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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