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 11:16:41	ga_s2am_ard_3-2-1_51HWD_2023-03-05_final.stac-item
2023-03-12 11:05:04	ga_s2am_ard_3-2-1_52JCQ_2023-03-12_final.stac-item
2023-03-13 10:33:20	ga_s2am_ard_3-2-1_53KPR_2023-03-13_final.stac-item
2023-03-15 11:12:43	ga_s2am_ard_3-2-1_52KED_2023-03-15_final.stac-item
2023-03-15 11:14:14	ga_s2am_ard_3-2-1_51JZN_2023-03-15_final.stac-item
2023-03-16 10:44:00	ga_s2am_ard_3-2-1_53JPN_2023-03-16_final.stac-item
2023-03-17 11:51:25	ga_s2am_ard_3-2-1_51LUE_2023-03-17_final.stac-item
2023-03-17 11:55:51	ga_s2am_ard_3-2-1_50JMN_2023-03-17_final.stac-item
2023-03-18 11:24:57	ga_s2am_ard_3-2-1_51JWL_2023-03-18_final.stac-item
2023-03-18 11:26:20	ga_s2am_ard_3-2-1_51HXE_2023-03-18_final.stac-item
2023-03-19 10:50:25	ga_s2am_ard_3-2-1_53LMH_2023-03-19_final.stac-item
2023-03-19 10:50:40	ga_s2am_ard_3-2-1_53LMG_2023-03-19_final.stac-item
2023-03-19 10:51:41	ga_s2am_ard_3-2-1_53LLC_2023-03-19_final.stac-item
2023-03-19 10:52:00	ga_s2am_ard_3-2-1_53KKB_2023-03-19_final.stac-item
2023-03-19 10:52:10	ga_s2am_ard_3-2-1_53KLA_2023-03-19_final.stac-item
2023-03-19 10:53:18	ga_s2am_ard_3-2-1_52KGB_2023-03-19_final.stac-item
2023-03-19 10:53:47	ga_s2am_ard_3-2-1_53KMP_2023-03-19_final.stac-item
2023-03-19 10:54:13	ga_s2am_ard_3-2-1_53JLM_2023-03-19_final.stac-item
2023-03-19 10:54:13	ga_s2am_ard_3-2-1_53JLN_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 10:55:03	ga_s2am_ard_3-2-1_53JLJ_2023-03-19_final.stac-item
2023-03-20 10:23:38	ga_s2am_ard_3-2-1_53KRQ_2023-03-20_final.stac-item
2023-03-20 10:23:49	ga_s2am_ard_3-2-1_53KRP_2023-03-20_final.stac-item
2023-03-20 10:24:13	ga_s2am_ard_3-2-1_54JUS_2023-03-20_final.stac-item
2023-03-20 10:24:54	ga_s2am_ard_3-2-1_54JVP_2023-03-20_final.stac-item
2023-03-20 10:25:01	ga_s2am_ard_3-2-1_54JTP_2023-03-20_final.stac-item
2023-03-20 10:25:38	ga_s2am_ard_3-2-1_53JPG_2023-03-20_final.stac-item
2023-03-20 10:26:49	ga_s2am_ard_3-2-1_53HPB_2023-03-20_final.stac-item
2023-03-20 10:26:57	ga_s2am_ard_3-2-1_54HTF_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 12:03:42	ga_s2am_ard_3-2-1_50KNA_2023-03-20_final.stac-item
2023-03-20 12:04:05	ga_s2am_ard_3-2-1_50KMV_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 12:05:28	ga_s2am_ard_3-2-1_49JGK_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
2023-03-21 09:57:10	ga_s2am_ard_3-2-1_54HXE_2023-03-21_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 11:33:00	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 11:34:04	ga_s2am_ard_3-2-1_51KXP_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 11:35:06	ga_s2am_ard_3-2-1_51JWK_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 11:36:04	ga_s2am_ard_3-2-1_50JQM_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 11:37:19	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
2023-03-22 11:00:12	ga_s2am_ard_3-2-1_53LKJ_2023-03-22_final.stac-item
2023-03-22 11:00:21	ga_s2am_ard_3-2-1_53LMH_2023-03-22_final.stac-item
2023-03-22 11:00:35	ga_s2am_ard_3-2-1_53LMG_2023-03-22_final.stac-item
2023-03-22 11:01:56	ga_s2am_ard_3-2-1_52KHG_2023-03-22_final.stac-item
2023-03-22 11:02:32	ga_s2am_ard_3-2-1_52KFE_2023-03-22_final.stac-item
2023-03-22 11:03:12	ga_s2am_ard_3-2-1_52KGB_2023-03-22_final.stac-item
2023-03-22 11:03:31	ga_s2am_ard_3-2-1_52KHV_2023-03-22_final.stac-item
2023-03-22 11:04:05	ga_s2am_ard_3-2-1_52KDU_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 11:04:49	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
2023-03-23 10:32:35	ga_s2am_ard_3-2-1_53KQU_2023-03-23_final.stac-item
2023-03-23 10:33:44	ga_s2am_ard_3-2-1_53KRP_2023-03-23_final.stac-item
2023-03-23 10:34:20	ga_s2am_ard_3-2-1_53JPM_2023-03-23_final.stac-item
2023-03-23 10:34:42	ga_s2am_ard_3-2-1_54JTQ_2023-03-23_final.stac-item
2023-03-23 10:35:04	ga_s2am_ard_3-2-1_53JPJ_2023-03-23_final.stac-item
2023-03-23 10:36:09	ga_s2am_ard_3-2-1_53HME_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 12:14:06	ga_s2am_ard_3-2-1_50KKV_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
2023-03-24 10:05:43	ga_s2am_ard_3-2-1_54JWL_2023-03-24_final.stac-item
2023-03-24 10:05:54	ga_s2am_ard_3-2-1_54HXK_2023-03-24_final.stac-item
2023-03-24 10:06:58	ga_s2am_ard_3-2-1_54HXE_2023-03-24_final.stac-item
2023-03-24 10:07:02	ga_s2am_ard_3-2-1_54HYE_2023-03-24_final.stac-item
2023-03-24 10:07:06	ga_s2am_ard_3-2-1_54HXE_2023-03-24_final.stac-item
2023-03-24 10:07:25	ga_s2am_ard_3-2-1_54HWD_2023-03-24_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 11:42:26	ga_s2am_ard_3-2-1_51KVA_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 11:43:07	ga_s2am_ard_3-2-1_50KQD_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 11:43:50	ga_s2am_ard_3-2-1_50KQA_2023-03-24_final.stac-item
2023-03-24 11:44:22	ga_s2am_ard_3-2-1_50KPU_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 11:45:23	ga_s2am_ard_3-2-1_50JNQ_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 11:46:41	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
2023-05-17 11:20:35	ga_s2am_ard_3-2-1_52LDN_2023-05-17_nrt.stac-item
2023-05-17 11:20:41	ga_s2am_ard_3-2-1_52LBN_2023-05-17_nrt.stac-item
2023-05-17 11:20:45	ga_s2am_ard_3-2-1_52LDM_2023-05-17_nrt.stac-item
2023-05-17 11:20:48	ga_s2am_ard_3-2-1_52LBN_2023-05-17_nrt.stac-item
2023-05-17 11:20:49	ga_s2am_ard_3-2-1_51LZH_2023-05-17_nrt.stac-item
2023-05-17 11:20:52	ga_s2am_ard_3-2-1_52LDM_2023-05-17_nrt.stac-item
2023-05-17 11:20:58	ga_s2am_ard_3-2-1_51LZG_2023-05-17_nrt.stac-item
2023-05-17 11:21:12	ga_s2am_ard_3-2-1_51LZF_2023-05-17_nrt.stac-item
2023-05-17 11:21:19	ga_s2am_ard_3-2-1_52LDK_2023-05-17_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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