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
2022-11-07 11:54:41	ga_s2am_ard_3-2-1_50JNT_2022-11-07_final.stac-item
2022-11-25 11:13:50	ga_s2am_ard_3-2-1_52KBV_2022-11-25_final.stac-item
2022-12-02 11:03:02	ga_s2am_ard_3-2-1_52KFC_2022-12-02_final.stac-item
2022-12-14 11:41:26	ga_s2am_ard_3-2-1_51LWE_2022-12-14_final.stac-item
2023-02-10 11:06:05	ga_s2am_ard_3-2-1_52JCL_2023-02-10_final.stac-item
2023-02-15 11:55:39	ga_s2am_ard_3-2-1_50JLP_2023-02-15_final.stac-item
2023-02-19 11:32:47	ga_s2am_ard_3-2-1_51KYU_2023-02-19_final.stac-item
2023-02-19 11:34:26	ga_s2am_ard_3-2-1_51JVN_2023-02-19_final.stac-item
2023-02-20 11:06:03	ga_s2am_ard_3-2-1_52JCL_2023-02-20_final.stac-item
2023-02-28 12:03:42	ga_s2am_ard_3-2-1_50KKB_2023-02-28_final.stac-item
2023-03-12 11:02:48	ga_s2am_ard_3-2-1_52KED_2023-03-12_final.stac-item
2023-03-21 11:34:47	ga_s2am_ard_3-2-1_50JRS_2023-03-21_final.stac-item
2023-03-24 11:44:51	ga_s2am_ard_3-2-1_50JPS_2023-03-24_final.stac-item
2023-03-25 11:14:01	ga_s2am_ard_3-2-1_52KDU_2023-03-25_final.stac-item
2023-03-27 11:53:41	ga_s2am_ard_3-2-1_50KMB_2023-03-27_final.stac-item
2023-04-04 11:11:48	ga_s2am_ard_3-2-1_52LEH_2023-04-04_final.stac-item
2023-04-11 11:04:18	ga_s2am_ard_3-2-1_52JET_2023-04-11_final.stac-item
2024-02-02 10:54:11	ga_s2am_ard_3-2-1_52JGT_2024-02-02_final.stac-item
2024-02-02 10:54:22	ga_s2am_ard_3-2-1_52JHS_2024-02-02_final.stac-item
2024-02-02 10:54:29	ga_s2am_ard_3-2-1_52JFS_2024-02-02_final.stac-item
2024-02-02 10:54:54	ga_s2am_ard_3-2-1_52JGQ_2024-02-02_final.stac-item
2024-02-02 10:55:32	ga_s2am_ard_3-2-1_52JFN_2024-02-02_final.stac-item
2024-02-02 10:55:45	ga_s2am_ard_3-2-1_52JEM_2024-02-02_final.stac-item
2024-02-03 10:26:46	ga_s2am_ard_3-2-1_53HPB_2024-02-03_final.stac-item
2024-02-03 12:03:15	ga_s2am_ard_3-2-1_50KNC_2024-02-03_final.stac-item
2024-02-03 12:03:29	ga_s2am_ard_3-2-1_50KNB_2024-02-03_final.stac-item
2024-02-03 12:03:33	ga_s2am_ard_3-2-1_50KMB_2024-02-03_final.stac-item
2024-02-03 12:03:40	ga_s2am_ard_3-2-1_50KKB_2024-02-03_final.stac-item
2024-02-03 12:03:40	ga_s2am_ard_3-2-1_49KHS_2024-02-03_final.stac-item
2024-02-03 12:03:48	ga_s2am_ard_3-2-1_50KMA_2024-02-03_final.stac-item
2024-02-03 12:03:51	ga_s2am_ard_3-2-1_50KLA_2024-02-03_final.stac-item
2024-02-03 12:03:55	ga_s2am_ard_3-2-1_49KHR_2024-02-03_final.stac-item
2024-02-03 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2024-02-03_final.stac-item
2024-02-03 12:04:31	ga_s2am_ard_3-2-1_50JMT_2024-02-03_final.stac-item
2024-02-03 12:04:35	ga_s2am_ard_3-2-1_50JLT_2024-02-03_final.stac-item
2024-02-03 12:04:38	ga_s2am_ard_3-2-1_49JHN_2024-02-03_final.stac-item
2024-02-03 12:04:49	ga_s2am_ard_3-2-1_50JLS_2024-02-03_final.stac-item
2024-02-03 12:04:52	ga_s2am_ard_3-2-1_49JHM_2024-02-03_final.stac-item
2024-02-03 12:04:53	ga_s2am_ard_3-2-1_50JKS_2024-02-03_final.stac-item
2024-02-03 12:04:56	ga_s2am_ard_3-2-1_49JGM_2024-02-03_final.stac-item
2024-02-03 12:05:07	ga_s2am_ard_3-2-1_50JKR_2024-02-03_final.stac-item
2024-02-03 12:05:11	ga_s2am_ard_3-2-1_49JGL_2024-02-03_final.stac-item
2024-02-03 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2024-02-03_final.stac-item
2024-02-03 12:05:47	ga_s2am_ard_3-2-1_50JLN_2024-02-03_final.stac-item
2024-02-03 12:05:51	ga_s2am_ard_3-2-1_50JKN_2024-02-03_final.stac-item
2024-02-03 12:05:54	ga_s2am_ard_3-2-1_49JGH_2024-02-03_final.stac-item
2024-02-03 12:06:10	ga_s2am_ard_3-2-1_50JLL_2024-02-03_final.stac-item
2024-02-04 11:31:26	ga_s2am_ard_3-2-1_51LWE_2024-02-04_final.stac-item
2024-02-04 11:31:49	ga_s2am_ard_3-2-1_51LYC_2024-02-04_final.stac-item
2024-02-04 11:32:15	ga_s2am_ard_3-2-1_51KVB_2024-02-04_final.stac-item
2024-02-04 11:32:39	ga_s2am_ard_3-2-1_51KWV_2024-02-04_final.stac-item
2024-02-04 11:33:12	ga_s2am_ard_3-2-1_51KVT_2024-02-04_final.stac-item
2024-02-04 11:33:18	ga_s2am_ard_3-2-1_51KUT_2024-02-04_final.stac-item
2024-02-04 11:33:26	ga_s2am_ard_3-2-1_51KVS_2024-02-04_final.stac-item
2024-02-04 11:33:46	ga_s2am_ard_3-2-1_51KXQ_2024-02-04_final.stac-item
2024-02-04 11:33:51	ga_s2am_ard_3-2-1_51KUQ_2024-02-04_final.stac-item
2024-02-04 11:34:10	ga_s2am_ard_3-2-1_51KVP_2024-02-04_final.stac-item
2024-02-04 11:34:45	ga_s2am_ard_3-2-1_51JTM_2024-02-04_final.stac-item
2024-02-04 11:34:50	ga_s2am_ard_3-2-1_51JWL_2024-02-04_final.stac-item
2024-02-04 11:34:57	ga_s2am_ard_3-2-1_51JUL_2024-02-04_final.stac-item
2024-02-04 11:35:11	ga_s2am_ard_3-2-1_51JUK_2024-02-04_final.stac-item
2024-02-04 11:35:37	ga_s2am_ard_3-2-1_51JVH_2024-02-04_final.stac-item
2024-02-04 11:35:41	ga_s2am_ard_3-2-1_51JUH_2024-02-04_final.stac-item
2024-02-04 11:35:46	ga_s2am_ard_3-2-1_50JQN_2024-02-04_final.stac-item
2024-02-04 11:36:13	ga_s2am_ard_3-2-1_51JTF_2024-02-04_final.stac-item
2024-02-04 11:36:30	ga_s2am_ard_3-2-1_50HQK_2024-02-04_final.stac-item
2024-02-04 11:36:34	ga_s2am_ard_3-2-1_50HPK_2024-02-04_final.stac-item
2024-02-04 11:36:39	ga_s2am_ard_3-2-1_51HUD_2024-02-04_final.stac-item
2024-02-04 11:36:57	ga_s2am_ard_3-2-1_51HTC_2024-02-04_final.stac-item
2024-02-04 11:37:17	ga_s2am_ard_3-2-1_50HPG_2024-02-04_final.stac-item
2024-02-04 11:37:22	ga_s2am_ard_3-2-1_50HNG_2024-02-04_final.stac-item
2024-02-05 11:00:26	ga_s2am_ard_3-2-1_52LHN_2024-02-05_final.stac-item
2024-02-05 11:00:58	ga_s2am_ard_3-2-1_52LGL_2024-02-05_final.stac-item
2024-02-05 11:01:42	ga_s2am_ard_3-2-1_52LGH_2024-02-05_final.stac-item
2024-02-05 11:01:46	ga_s2am_ard_3-2-1_52LFH_2024-02-05_final.stac-item
2024-02-05 11:02:29	ga_s2am_ard_3-2-1_52KFE_2024-02-05_final.stac-item
2024-02-05 11:02:36	ga_s2am_ard_3-2-1_52KHD_2024-02-05_final.stac-item
2024-02-05 11:02:48	ga_s2am_ard_3-2-1_52KED_2024-02-05_final.stac-item
2024-02-05 11:02:54	ga_s2am_ard_3-2-1_52KGC_2024-02-05_final.stac-item
2024-02-05 11:03:16	ga_s2am_ard_3-2-1_52KEB_2024-02-05_final.stac-item
2024-02-05 11:03:59	ga_s2am_ard_3-2-1_52KEU_2024-02-05_final.stac-item
2024-02-05 11:04:03	ga_s2am_ard_3-2-1_52JGT_2024-02-05_final.stac-item
2024-02-05 11:04:05	ga_s2am_ard_3-2-1_52JFT_2024-02-05_final.stac-item
2024-02-05 11:04:07	ga_s2am_ard_3-2-1_52JET_2024-02-05_final.stac-item
2024-02-05 11:04:10	ga_s2am_ard_3-2-1_52JGT_2024-02-05_final.stac-item
2024-02-05 11:04:46	ga_s2am_ard_3-2-1_52JDR_2024-02-05_final.stac-item
2024-02-05 11:05:04	ga_s2am_ard_3-2-1_52JCQ_2024-02-05_final.stac-item
2024-02-05 11:05:08	ga_s2am_ard_3-2-1_52JFP_2024-02-05_final.stac-item
2024-02-05 11:05:26	ga_s2am_ard_3-2-1_52JEN_2024-02-05_final.stac-item
2024-02-05 11:05:30	ga_s2am_ard_3-2-1_52JDN_2024-02-05_final.stac-item
2024-02-05 11:05:44	ga_s2am_ard_3-2-1_52JDM_2024-02-05_final.stac-item
2024-02-05 11:05:59	ga_s2am_ard_3-2-1_52JDL_2024-02-05_final.stac-item
2024-02-05 11:06:02	ga_s2am_ard_3-2-1_52JCL_2024-02-05_final.stac-item
2024-02-05 11:06:17	ga_s2am_ard_3-2-1_52HCK_2024-02-05_final.stac-item
2024-02-05 11:06:20	ga_s2am_ard_3-2-1_52HBK_2024-02-05_final.stac-item
2024-02-14 11:30:18	ga_s2am_ard_3-2-1_52LBP_2024-02-14_nrt.stac-item
2024-02-14 11:30:27	ga_s2am_ard_3-2-1_51LXJ_2024-02-14_nrt.stac-item
2024-02-14 11:30:42	ga_s2am_ard_3-2-1_51LXH_2024-02-14_nrt.stac-item
2024-02-14 11:30:56	ga_s2am_ard_3-2-1_51LXG_2024-02-14_nrt.stac-item
2024-02-15 11:06:28	ga_s2am_ard_3-2-1_52HDJ_2024-02-15_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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