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 12:15:18	ga_s2am_ard_3-2-1_49JGK_2023-02-11_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 11:41:24	ga_s2am_ard_3-2-1_51LWE_2023-02-12_final.stac-item
2023-02-12 11:41:28	ga_s2am_ard_3-2-1_51LVE_2023-02-12_final.stac-item
2023-02-12 11:42:11	ga_s2am_ard_3-2-1_51KVB_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 11:43:23	ga_s2am_ard_3-2-1_51KVS_2023-02-12_final.stac-item
2023-02-12 11:43:45	ga_s2am_ard_3-2-1_50KRA_2023-02-12_final.stac-item
2023-02-12 11:44:00	ga_s2am_ard_3-2-1_51KTQ_2023-02-12_final.stac-item
2023-02-12 11:44:11	ga_s2am_ard_3-2-1_51KUP_2023-02-12_final.stac-item
2023-02-12 11:44:14	ga_s2am_ard_3-2-1_50KRU_2023-02-12_final.stac-item
2023-02-12 11:44:21	ga_s2am_ard_3-2-1_50KPU_2023-02-12_final.stac-item
2023-02-12 11:44:29	ga_s2am_ard_3-2-1_50JRT_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 11:44:51	ga_s2am_ard_3-2-1_50JPS_2023-02-12_final.stac-item
2023-02-12 11:45:30	ga_s2am_ard_3-2-1_50JQP_2023-02-12_final.stac-item
2023-02-12 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2023-02-12_final.stac-item
2023-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-02-12_final.stac-item
2023-02-12 11:47:05	ga_s2am_ard_3-2-1_50HNH_2023-02-12_final.stac-item
2023-02-12 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-02-12_final.stac-item
2023-02-13 11:14:21	ga_s2am_ard_3-2-1_52JBT_2023-02-13_final.stac-item
2023-02-13 11:15:49	ga_s2am_ard_3-2-1_52JBM_2023-02-13_final.stac-item
2023-02-13 11:15:51	ga_s2am_ard_3-2-1_51JYG_2023-02-13_final.stac-item
2023-02-13 11:15:55	ga_s2am_ard_3-2-1_51JXG_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
2023-02-15 11:53:22	ga_s2am_ard_3-2-1_50KNC_2023-02-15_final.stac-item
2023-02-15 11:53:28	ga_s2am_ard_3-2-1_50KMC_2023-02-15_final.stac-item
2023-02-15 11:54:23	ga_s2am_ard_3-2-1_50KMU_2023-02-15_final.stac-item
2023-02-15 11:54:44	ga_s2am_ard_3-2-1_50JPS_2023-02-15_final.stac-item
2023-02-15 11:54:50	ga_s2am_ard_3-2-1_50JLS_2023-02-15_final.stac-item
2023-02-15 11:54:57	ga_s2am_ard_3-2-1_50JLS_2023-02-15_final.stac-item
2023-02-15 11:55:18	ga_s2am_ard_3-2-1_50JNQ_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 11:55:56	ga_s2am_ard_3-2-1_50JKN_2023-02-15_final.stac-item
2023-02-15 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-02-15_final.stac-item
2023-02-15 11:57:06	ga_s2am_ard_3-2-1_50HLH_2023-02-15_final.stac-item
2023-02-16 11:21:37	ga_s2am_ard_3-2-1_51LZD_2023-02-16_final.stac-item
2023-02-16 11:23:10	ga_s2am_ard_3-2-1_51KXT_2023-02-16_final.stac-item
2023-02-16 11:23:50	ga_s2am_ard_3-2-1_51KYQ_2023-02-16_final.stac-item
2023-02-16 11:24:37	ga_s2am_ard_3-2-1_51JXM_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 11:25:42	ga_s2am_ard_3-2-1_51JYG_2023-02-16_final.stac-item
2023-02-16 11:25:53	ga_s2am_ard_3-2-1_51JWG_2023-02-16_final.stac-item
2023-02-16 11:26:19	ga_s2am_ard_3-2-1_51HXE_2023-02-16_final.stac-item
2023-02-16 11:26:22	ga_s2am_ard_3-2-1_51HWE_2023-02-16_final.stac-item
2023-02-16 11:26:33	ga_s2am_ard_3-2-1_51HXD_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 10:54:30	ga_s2am_ard_3-2-1_52JFS_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
2023-02-17 10:55:13	ga_s2am_ard_3-2-1_52JFP_2023-02-17_final.stac-item
2023-02-18 12:03:30	ga_s2am_ard_3-2-1_50KNB_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 12:04:39	ga_s2am_ard_3-2-1_49JHN_2023-02-18_final.stac-item
2023-02-18 12:04:39	ga_s2am_ard_3-2-1_50JKT_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 11:32:08	ga_s2am_ard_3-2-1_51KXB_2023-02-19_final.stac-item
2023-02-19 11:32:11	ga_s2am_ard_3-2-1_51KWB_2023-02-19_final.stac-item
2023-02-19 11:32:26	ga_s2am_ard_3-2-1_51KWA_2023-02-19_final.stac-item
2023-02-19 11:33:10	ga_s2am_ard_3-2-1_51KWT_2023-02-19_final.stac-item
2023-02-19 11:33:27	ga_s2am_ard_3-2-1_51KVS_2023-02-19_final.stac-item
2023-02-19 11:34:11	ga_s2am_ard_3-2-1_51KVP_2023-02-19_final.stac-item
2023-02-19 11:34:51	ga_s2am_ard_3-2-1_51JWL_2023-02-19_final.stac-item
2023-02-19 11:35:45	ga_s2am_ard_3-2-1_51JTH_2023-02-19_final.stac-item
2023-02-19 11:35:53	ga_s2am_ard_3-2-1_51JVG_2023-02-19_final.stac-item
2023-02-19 11:36:58	ga_s2am_ard_3-2-1_51HTC_2023-02-19_final.stac-item
2023-02-20 11:04:15	ga_s2am_ard_3-2-1_52JET_2023-02-20_final.stac-item
2023-02-20 11:04:33	ga_s2am_ard_3-2-1_52JDS_2023-02-20_final.stac-item
2023-02-20 11:04:48	ga_s2am_ard_3-2-1_52JDR_2023-02-20_final.stac-item
2023-02-20 11:05:10	ga_s2am_ard_3-2-1_52JFP_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
2023-02-20 11:05:31	ga_s2am_ard_3-2-1_52JDN_2023-02-20_final.stac-item
2023-02-20 11:05:55	ga_s2am_ard_3-2-1_52JBM_2023-02-20_final.stac-item
2023-02-20 11:06:00	ga_s2am_ard_3-2-1_52JDL_2023-02-20_final.stac-item
2023-02-20 11:06:07	ga_s2am_ard_3-2-1_52JBL_2023-02-20_final.stac-item
2023-02-21 12:13:37	ga_s2am_ard_3-2-1_50KKB_2023-02-21_final.stac-item
2023-02-21 12:14:50	ga_s2am_ard_3-2-1_49JFM_2023-02-21_final.stac-item
2023-02-22 11:41:23	ga_s2am_ard_3-2-1_51LWE_2023-02-22_final.stac-item
2023-02-22 11:41:56	ga_s2am_ard_3-2-1_51LVC_2023-02-22_final.stac-item
2023-02-22 11:42:11	ga_s2am_ard_3-2-1_51KVB_2023-02-22_final.stac-item
2023-02-22 11:42:19	ga_s2am_ard_3-2-1_51KWA_2023-02-22_final.stac-item
2023-02-22 11:43:01	ga_s2am_ard_3-2-1_51KTU_2023-02-22_final.stac-item
2023-02-22 11:43:19	ga_s2am_ard_3-2-1_50KQC_2023-02-22_final.stac-item
2023-02-22 11:43:45	ga_s2am_ard_3-2-1_50KRA_2023-02-22_final.stac-item
2023-02-22 11:43:56	ga_s2am_ard_3-2-1_51KUQ_2023-02-22_final.stac-item
2023-02-22 11:43:59	ga_s2am_ard_3-2-1_51KTQ_2023-02-22_final.stac-item
2023-02-22 11:44:10	ga_s2am_ard_3-2-1_51KUP_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 11:44:14	ga_s2am_ard_3-2-1_51KTP_2023-02-22_final.stac-item
2023-02-22 11:44:28	ga_s2am_ard_3-2-1_50JRT_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 11:44:50	ga_s2am_ard_3-2-1_50JPS_2023-02-22_final.stac-item
2023-02-22 11:45:03	ga_s2am_ard_3-2-1_50JPR_2023-02-22_final.stac-item
2023-02-22 11:45:09	ga_s2am_ard_3-2-1_50JPR_2023-02-22_final.stac-item
2023-02-22 11:45:15	ga_s2am_ard_3-2-1_50JQQ_2023-02-22_final.stac-item
2023-02-22 11:45:30	ga_s2am_ard_3-2-1_50JQP_2023-02-22_final.stac-item
2023-02-22 11:47:00	ga_s2am_ard_3-2-1_50HPH_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 11:20:53	ga_s2am_ard_3-2-1_51LZG_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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