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
2023-03-05 11:14:20	ga_s2am_ard_3-2-1_52JBT_2023-03-05_final.stac-item
2023-03-12 11:02:43	ga_s2am_ard_3-2-1_52KFD_2023-03-12_final.stac-item
2023-03-12 11:05:04	ga_s2am_ard_3-2-1_52JCQ_2023-03-12_final.stac-item
2023-03-12 11:06:33	ga_s2am_ard_3-2-1_51HYD_2023-03-12_final.stac-item
2023-03-14 11:40:54	ga_s2am_ard_3-2-1_51LWG_2023-03-14_final.stac-item
2023-03-15 11:12:43	ga_s2am_ard_3-2-1_52KED_2023-03-15_final.stac-item
2023-03-17 11:51:25	ga_s2am_ard_3-2-1_51LUE_2023-03-17_final.stac-item
2023-03-18 11:24:21	ga_s2am_ard_3-2-1_51JYN_2023-03-18_final.stac-item
2023-03-18 11:25:36	ga_s2am_ard_3-2-1_51JXH_2023-03-18_final.stac-item
2023-03-19 10:54:16	ga_s2am_ard_3-2-1_52JGT_2023-03-19_final.stac-item
2023-03-19 10:54:57	ga_s2am_ard_3-2-1_52JGQ_2023-03-19_final.stac-item
2023-03-19 10:55:11	ga_s2am_ard_3-2-1_52JGP_2023-03-19_final.stac-item
2023-03-19 10:55:29	ga_s2am_ard_3-2-1_52JFN_2023-03-19_final.stac-item
2023-03-20 12:03:18	ga_s2am_ard_3-2-1_50KNC_2023-03-20_final.stac-item
2023-03-20 12:03:22	ga_s2am_ard_3-2-1_50KMC_2023-03-20_final.stac-item
2023-03-20 12:03:31	ga_s2am_ard_3-2-1_50KNB_2023-03-20_final.stac-item
2023-03-20 12:03:39	ga_s2am_ard_3-2-1_50KLB_2023-03-20_final.stac-item
2023-03-20 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-03-20_final.stac-item
2023-03-20 12:04:20	ga_s2am_ard_3-2-1_50KMU_2023-03-20_final.stac-item
2023-03-20 12:04:32	ga_s2am_ard_3-2-1_50JKT_2023-03-20_final.stac-item
2023-03-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2023-03-20_final.stac-item
2023-03-20 12:05:13	ga_s2am_ard_3-2-1_49JGL_2023-03-20_final.stac-item
2023-03-20 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2023-03-20_final.stac-item
2023-03-20 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-03-20_final.stac-item
2023-03-20 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-03-20_final.stac-item
2023-03-20 12:05:56	ga_s2am_ard_3-2-1_49JGH_2023-03-20_final.stac-item
2023-03-20 12:06:02	ga_s2am_ard_3-2-1_50JLM_2023-03-20_final.stac-item
2023-03-20 12:06:12	ga_s2am_ard_3-2-1_50JLL_2023-03-20_final.stac-item
2023-03-21 11:31:29	ga_s2am_ard_3-2-1_51LWE_2023-03-21_final.stac-item
2023-03-21 11:31:47	ga_s2am_ard_3-2-1_51LZC_2023-03-21_final.stac-item
2023-03-21 11:32:39	ga_s2am_ard_3-2-1_51KXV_2023-03-21_final.stac-item
2023-03-21 11:32:53	ga_s2am_ard_3-2-1_51KXU_2023-03-21_final.stac-item
2023-03-21 11:32:57	ga_s2am_ard_3-2-1_51KWU_2023-03-21_final.stac-item
2023-03-21 11:33:00	ga_s2am_ard_3-2-1_51KVU_2023-03-21_final.stac-item
2023-03-21 11:33:43	ga_s2am_ard_3-2-1_51KVR_2023-03-21_final.stac-item
2023-03-21 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2023-03-21_final.stac-item
2023-03-21 11:33:55	ga_s2am_ard_3-2-1_51KWQ_2023-03-21_final.stac-item
2023-03-21 11:34:09	ga_s2am_ard_3-2-1_51KWP_2023-03-21_final.stac-item
2023-03-21 11:34:16	ga_s2am_ard_3-2-1_51KUP_2023-03-21_final.stac-item
2023-03-21 11:34:27	ga_s2am_ard_3-2-1_51JVN_2023-03-21_final.stac-item
2023-03-21 11:34:34	ga_s2am_ard_3-2-1_51JTN_2023-03-21_final.stac-item
2023-03-21 11:34:38	ga_s2am_ard_3-2-1_51JWM_2023-03-21_final.stac-item
2023-03-21 11:35:32	ga_s2am_ard_3-2-1_51JTJ_2023-03-21_final.stac-item
2023-03-21 11:35:43	ga_s2am_ard_3-2-1_51JUH_2023-03-21_final.stac-item
2023-03-21 11:35:46	ga_s2am_ard_3-2-1_51JTH_2023-03-21_final.stac-item
2023-03-21 11:36:04	ga_s2am_ard_3-2-1_50JQM_2023-03-21_final.stac-item
2023-03-21 11:36:32	ga_s2am_ard_3-2-1_50HQK_2023-03-21_final.stac-item
2023-03-21 11:36:41	ga_s2am_ard_3-2-1_51HUD_2023-03-21_final.stac-item
2023-03-21 11:36:45	ga_s2am_ard_3-2-1_51HTD_2023-03-21_final.stac-item
2023-03-21 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-03-21_final.stac-item
2023-03-21 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-03-21_final.stac-item
2023-03-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2023-03-21_final.stac-item
2023-03-21 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-03-21_final.stac-item
2023-03-21 11:37:28	ga_s2am_ard_3-2-1_50HPG_2023-03-21_final.stac-item
2023-03-21 11:37:29	ga_s2am_ard_3-2-1_50HNG_2023-03-21_final.stac-item
2023-03-22 11:02:44	ga_s2am_ard_3-2-1_52KED_2023-03-22_final.stac-item
2023-03-22 11:03:33	ga_s2am_ard_3-2-1_52KEA_2023-03-22_final.stac-item
2023-03-22 11:03:52	ga_s2am_ard_3-2-1_52KDV_2023-03-22_final.stac-item
2023-03-22 11:04:13	ga_s2am_ard_3-2-1_52JFT_2023-03-22_final.stac-item
2023-03-22 11:04:17	ga_s2am_ard_3-2-1_52JET_2023-03-22_final.stac-item
2023-03-22 11:04:49	ga_s2am_ard_3-2-1_52JDR_2023-03-22_final.stac-item
2023-03-22 11:05:11	ga_s2am_ard_3-2-1_52JFP_2023-03-22_final.stac-item
2023-03-22 11:05:33	ga_s2am_ard_3-2-1_52JDN_2023-03-22_final.stac-item
2023-03-22 11:05:47	ga_s2am_ard_3-2-1_52JDM_2023-03-22_final.stac-item
2023-03-22 11:06:02	ga_s2am_ard_3-2-1_52JDL_2023-03-22_final.stac-item
2023-03-22 11:06:05	ga_s2am_ard_3-2-1_52JCL_2023-03-22_final.stac-item
2023-03-23 12:13:38	ga_s2am_ard_3-2-1_50KKB_2023-03-23_final.stac-item
2023-03-23 12:13:53	ga_s2am_ard_3-2-1_50KKA_2023-03-23_final.stac-item
2023-03-23 12:13:53	ga_s2am_ard_3-2-1_49KHR_2023-03-23_final.stac-item
2023-03-23 12:14:29	ga_s2am_ard_3-2-1_49JHN_2023-03-23_final.stac-item
2023-03-23 12:14:40	ga_s2am_ard_3-2-1_49JGN_2023-03-23_final.stac-item
2023-03-23 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-03-23_final.stac-item
2023-03-23 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-03-23_final.stac-item
2023-03-23 12:15:18	ga_s2am_ard_3-2-1_49JGK_2023-03-23_final.stac-item
2023-03-24 11:40:56	ga_s2am_ard_3-2-1_51LWG_2023-03-24_final.stac-item
2023-03-24 11:41:17	ga_s2am_ard_3-2-1_51LUF_2023-03-24_final.stac-item
2023-03-24 11:41:25	ga_s2am_ard_3-2-1_51LWE_2023-03-24_final.stac-item
2023-03-24 11:42:55	ga_s2am_ard_3-2-1_51KVU_2023-03-24_final.stac-item
2023-03-24 11:43:03	ga_s2am_ard_3-2-1_50KRD_2023-03-24_final.stac-item
2023-03-24 11:43:13	ga_s2am_ard_3-2-1_51KUT_2023-03-24_final.stac-item
2023-03-24 11:43:20	ga_s2am_ard_3-2-1_50KQC_2023-03-24_final.stac-item
2023-03-24 11:43:46	ga_s2am_ard_3-2-1_50KRA_2023-03-24_final.stac-item
2023-03-24 11:43:57	ga_s2am_ard_3-2-1_51KUQ_2023-03-24_final.stac-item
2023-03-24 11:44:00	ga_s2am_ard_3-2-1_51KTQ_2023-03-24_final.stac-item
2023-03-24 11:44:04	ga_s2am_ard_3-2-1_50KQV_2023-03-24_final.stac-item
2023-03-24 11:44:26	ga_s2am_ard_3-2-1_51JUN_2023-03-24_final.stac-item
2023-03-24 11:44:33	ga_s2am_ard_3-2-1_50JQT_2023-03-24_final.stac-item
2023-03-24 11:44:59	ga_s2am_ard_3-2-1_50JPR_2023-03-24_final.stac-item
2023-03-24 11:45:23	ga_s2am_ard_3-2-1_50JNQ_2023-03-24_final.stac-item
2023-03-24 11:45:28	ga_s2am_ard_3-2-1_51JTJ_2023-03-24_final.stac-item
2023-03-24 11:45:45	ga_s2am_ard_3-2-1_50JQN_2023-03-24_final.stac-item
2023-03-24 11:45:59	ga_s2am_ard_3-2-1_50JQM_2023-03-24_final.stac-item
2023-03-24 11:46:11	ga_s2am_ard_3-2-1_50JMM_2023-03-24_final.stac-item
2023-03-24 11:46:18	ga_s2am_ard_3-2-1_50JPL_2023-03-24_final.stac-item
2023-03-24 11:46:36	ga_s2am_ard_3-2-1_50HNK_2023-03-24_final.stac-item
2023-03-24 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2023-03-24_final.stac-item
2023-03-24 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-03-24_final.stac-item
2023-03-24 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2023-03-24_final.stac-item
2023-03-24 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-03-24_final.stac-item
2023-03-24 11:47:19	ga_s2am_ard_3-2-1_50HNG_2023-03-24_final.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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