Search ga_s2am_ard_3 across September 2023

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
2023-09-01 09:34:13	ga_s2am_ard_3-2-1_56JMR_2023-09-01_final.stac-item
2023-09-01 11:11:53	ga_s2am_ard_3-2-1_52LEH_2023-09-01_final.stac-item
2023-09-01 11:11:57	ga_s2am_ard_3-2-1_52LDH_2023-09-01_final.stac-item
2023-09-02 10:41:20	ga_s2am_ard_3-2-1_54LTJ_2023-09-02_nrt.stac-item
2023-09-02 10:41:47	ga_s2am_ard_3-2-1_53LNC_2023-09-02_final.stac-item
2023-09-02 10:44:40	ga_s2am_ard_3-2-1_53JNL_2023-09-02_final.stac-item
2023-09-03 10:11:18	ga_s2am_ard_3-2-1_54LYJ_2023-09-03_final.stac-item
2023-09-03 10:11:18	ga_s2am_ard_3-2-1_55LDC_2023-09-03_nrt.stac-item
2023-09-03 11:51:51	ga_s2am_ard_3-2-1_51LTD_2023-09-03_nrt.stac-item
2023-09-03 11:51:52	ga_s2am_ard_3-2-1_50LRJ_2023-09-03_nrt.stac-item
2023-09-03 11:51:56	ga_s2am_ard_3-2-1_50LQJ_2023-09-03_nrt.stac-item
2023-09-03 11:55:15	ga_s2am_ard_3-2-1_50JMR_2023-09-03_final.stac-item
2023-09-03 11:57:20	ga_s2am_ard_3-2-1_49HGC_2023-09-03_nrt.stac-item
2023-09-04 09:41:20	ga_s2am_ard_3-2-1_56LNH_2023-09-04_nrt.stac-item
2023-09-04 09:41:21	ga_s2am_ard_3-2-1_56LMH_2023-09-04_nrt.stac-item
2023-09-04 09:41:22	ga_s2am_ard_3-2-1_56LLH_2023-09-04_nrt.stac-item
2023-09-04 09:41:24	ga_s2am_ard_3-2-1_56LKH_2023-09-04_nrt.stac-item
2023-09-04 11:21:44	ga_s2am_ard_3-2-1_52LBJ_2023-09-04_final.stac-item
2023-09-04 11:21:52	ga_s2am_ard_3-2-1_52LDH_2023-09-04_final.stac-item
2023-09-04 11:21:59	ga_s2am_ard_3-2-1_52LDH_2023-09-04_final.stac-item
2023-09-04 11:22:01	ga_s2am_ard_3-2-1_52LCH_2023-09-04_final.stac-item
2023-09-05 10:51:42	ga_s2am_ard_3-2-1_53LNC_2023-09-05_final.stac-item
2023-09-05 10:51:45	ga_s2am_ard_3-2-1_53LMC_2023-09-05_final.stac-item
2023-09-06 10:21:13	ga_s2am_ard_3-2-1_54LYJ_2023-09-06_final.stac-item
2023-09-06 10:21:35	ga_s2am_ard_3-2-1_54LWH_2023-09-06_final.stac-item
2023-09-06 10:21:38	ga_s2am_ard_3-2-1_54LVH_2023-09-06_final.stac-item
2023-09-07 11:31:34	ga_s2am_ard_3-2-1_52LBJ_2023-09-07_final.stac-item
2023-09-07 11:32:05	ga_s2am_ard_3-2-1_51LWC_2023-09-07_final.stac-item
2023-09-09 10:31:25	ga_s2am_ard_3-2-1_54LTJ_2023-09-09_nrt.stac-item
2023-09-09 10:31:33	ga_s2am_ard_3-2-1_54LVH_2023-09-09_final.stac-item
2023-09-09 10:31:40	ga_s2am_ard_3-2-1_54LVH_2023-09-09_final.stac-item
2023-09-09 10:31:41	ga_s2am_ard_3-2-1_54LUH_2023-09-09_final.stac-item
2023-09-09 10:34:44	ga_s2am_ard_3-2-1_53JNL_2023-09-09_final.stac-item
2023-09-10 10:01:23	ga_s2am_ard_3-2-1_55LEC_2023-09-10_final.stac-item
2023-09-10 10:01:26	ga_s2am_ard_3-2-1_55LDC_2023-09-10_nrt.stac-item
2023-09-10 10:04:37	ga_s2am_ard_3-2-1_54JXR_2023-09-10_final.stac-item
2023-09-10 11:41:55	ga_s2am_ard_3-2-1_51LTD_2023-09-10_nrt.stac-item
2023-09-10 11:42:00	ga_s2am_ard_3-2-1_51LWC_2023-09-10_final.stac-item
2023-09-10 11:42:04	ga_s2am_ard_3-2-1_51LVC_2023-09-10_final.stac-item
2023-09-11 09:34:13	ga_s2am_ard_3-2-1_56JMR_2023-09-11_final.stac-item
2023-09-11 11:11:53	ga_s2am_ard_3-2-1_52LEH_2023-09-11_final.stac-item
2023-09-11 11:11:56	ga_s2am_ard_3-2-1_52LDH_2023-09-11_final.stac-item
2023-09-12 10:41:20	ga_s2am_ard_3-2-1_54LTJ_2023-09-12_nrt.stac-item
2023-09-12 10:41:46	ga_s2am_ard_3-2-1_53LNC_2023-09-12_final.stac-item
2023-09-12 10:44:40	ga_s2am_ard_3-2-1_53JNL_2023-09-12_final.stac-item
2023-09-13 10:11:17	ga_s2am_ard_3-2-1_54LYJ_2023-09-13_final.stac-item
2023-09-13 11:51:52	ga_s2am_ard_3-2-1_50LRJ_2023-09-13_nrt.stac-item
2023-09-13 11:55:14	ga_s2am_ard_3-2-1_50JMR_2023-09-13_final.stac-item
2023-09-13 11:57:19	ga_s2am_ard_3-2-1_49HGC_2023-09-13_nrt.stac-item
2023-09-14 11:21:43	ga_s2am_ard_3-2-1_52LBJ_2023-09-14_final.stac-item
2023-09-14 11:21:51	ga_s2am_ard_3-2-1_52LDH_2023-09-14_final.stac-item
2023-09-15 10:51:40	ga_s2am_ard_3-2-1_53LNC_2023-09-15_final.stac-item
2023-09-15 10:51:44	ga_s2am_ard_3-2-1_53LMC_2023-09-15_final.stac-item
2023-09-16 10:21:11	ga_s2am_ard_3-2-1_54LYJ_2023-09-16_final.stac-item
2023-09-16 10:21:33	ga_s2am_ard_3-2-1_54LWH_2023-09-16_final.stac-item
2023-09-16 10:21:36	ga_s2am_ard_3-2-1_54LVH_2023-09-16_final.stac-item
2023-09-16 12:05:02	ga_s2am_ard_3-2-1_50JMR_2023-09-16_final.stac-item
2023-09-17 11:32:03	ga_s2am_ard_3-2-1_51LWC_2023-09-17_final.stac-item
2023-09-19 10:31:22	ga_s2am_ard_3-2-1_54LTJ_2023-09-19_nrt.stac-item
2023-09-19 10:31:25	ga_s2am_ard_3-2-1_54LWH_2023-09-19_final.stac-item
2023-09-19 10:31:30	ga_s2am_ard_3-2-1_54LVH_2023-09-19_final.stac-item
2023-09-19 10:31:41	ga_s2am_ard_3-2-1_54LUH_2023-09-19_final.stac-item
2023-09-19 10:34:42	ga_s2am_ard_3-2-1_53JNL_2023-09-19_final.stac-item
2023-09-20 10:01:20	ga_s2am_ard_3-2-1_55LEC_2023-09-20_final.stac-item
2023-09-20 10:01:23	ga_s2am_ard_3-2-1_55LDC_2023-09-20_nrt.stac-item
2023-09-20 11:41:52	ga_s2am_ard_3-2-1_51LTD_2023-09-20_nrt.stac-item
2023-09-20 11:41:58	ga_s2am_ard_3-2-1_51LWC_2023-09-20_final.stac-item
2023-09-20 11:42:01	ga_s2am_ard_3-2-1_51LVC_2023-09-20_final.stac-item
2023-09-21 09:34:10	ga_s2am_ard_3-2-1_56JMR_2023-09-21_final.stac-item
2023-09-21 11:11:50	ga_s2am_ard_3-2-1_52LEH_2023-09-21_final.stac-item
2023-09-21 11:11:53	ga_s2am_ard_3-2-1_52LDH_2023-09-21_final.stac-item
2023-09-22 10:41:16	ga_s2am_ard_3-2-1_54LTJ_2023-09-22_nrt.stac-item
2023-09-22 10:41:43	ga_s2am_ard_3-2-1_53LNC_2023-09-22_final.stac-item
2023-09-22 10:44:37	ga_s2am_ard_3-2-1_53JNL_2023-09-22_final.stac-item
2023-09-23 10:11:14	ga_s2am_ard_3-2-1_54LYJ_2023-09-23_final.stac-item
2023-09-23 11:51:40	ga_s2am_ard_3-2-1_51LUD_2023-09-23_final.stac-item
2023-09-23 11:51:49	ga_s2am_ard_3-2-1_50LRJ_2023-09-23_nrt.stac-item
2023-09-23 11:55:11	ga_s2am_ard_3-2-1_50JMR_2023-09-23_final.stac-item
2023-09-23 11:57:16	ga_s2am_ard_3-2-1_49HGC_2023-09-23_nrt.stac-item
2023-09-24 09:41:16	ga_s2am_ard_3-2-1_56LNH_2023-09-24_nrt.stac-item
2023-09-24 09:41:18	ga_s2am_ard_3-2-1_56LMH_2023-09-24_nrt.stac-item
2023-09-24 09:41:19	ga_s2am_ard_3-2-1_56LLH_2023-09-24_nrt.stac-item
2023-09-24 09:41:20	ga_s2am_ard_3-2-1_56LKH_2023-09-24_nrt.stac-item
2023-09-24 11:21:40	ga_s2am_ard_3-2-1_52LBJ_2023-09-24_final.stac-item
2023-09-24 11:21:49	ga_s2am_ard_3-2-1_52LDH_2023-09-24_final.stac-item
2023-09-25 10:51:38	ga_s2am_ard_3-2-1_53LNC_2023-09-25_final.stac-item
2023-09-25 10:51:42	ga_s2am_ard_3-2-1_53LMC_2023-09-25_final.stac-item
2023-09-26 10:21:10	ga_s2am_ard_3-2-1_54LYJ_2023-09-26_final.stac-item
2023-09-26 10:21:31	ga_s2am_ard_3-2-1_54LWH_2023-09-26_final.stac-item
2023-09-26 10:21:35	ga_s2am_ard_3-2-1_54LVH_2023-09-26_final.stac-item
2023-09-26 12:05:01	ga_s2am_ard_3-2-1_50JMR_2023-09-26_final.stac-item
2023-09-27 11:32:02	ga_s2am_ard_3-2-1_51LWC_2023-09-27_final.stac-item
2023-09-29 10:31:22	ga_s2am_ard_3-2-1_54LTJ_2023-09-29_nrt.stac-item
2023-09-29 10:31:30	ga_s2am_ard_3-2-1_54LVH_2023-09-29_final.stac-item
2023-09-29 10:34:42	ga_s2am_ard_3-2-1_53JNL_2023-09-29_final.stac-item
2023-09-30 10:01:20	ga_s2am_ard_3-2-1_55LEC_2023-09-30_final.stac-item
2023-09-30 10:01:23	ga_s2am_ard_3-2-1_55LDC_2023-09-30_nrt.stac-item
2023-09-30 10:04:34	ga_s2am_ard_3-2-1_54JXR_2023-09-30_final.stac-item
2023-09-30 11:41:52	ga_s2am_ard_3-2-1_51LTD_2023-09-30_nrt.stac-item
2023-09-30 11:41:57	ga_s2am_ard_3-2-1_51LWC_2023-09-30_final.stac-item

Return to ga_s2am_ard_3 across September 2023 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

Other products

2023

September

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