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
2024-02-10 10:09:37	ga_s2am_ard_3-2-1_55LBK_2024-02-10_final.stac-item
2024-02-10 10:09:42	ga_s2am_ard_3-2-1_55LEJ_2024-02-10_nrt.stac-item
2024-02-10 10:09:48	ga_s2am_ard_3-2-1_55LCJ_2024-02-10_nrt.stac-item
2024-02-10 10:09:51	ga_s2am_ard_3-2-1_55LBJ_2024-02-10_final.stac-item
2024-02-10 10:09:55	ga_s2am_ard_3-2-1_54LZP_2024-02-10_final.stac-item
2024-02-10 10:10:06	ga_s2am_ard_3-2-1_55LBH_2024-02-10_nrt.stac-item
2024-02-10 10:10:07	ga_s2am_ard_3-2-1_54LZN_2024-02-10_final.stac-item
2024-02-10 10:10:18	ga_s2am_ard_3-2-1_55LCG_2024-02-10_nrt.stac-item
2024-02-10 10:10:21	ga_s2am_ard_3-2-1_55LBG_2024-02-10_final.stac-item
2024-02-10 10:10:22	ga_s2am_ard_3-2-1_54LZM_2024-02-10_final.stac-item
2024-02-10 10:10:47	ga_s2am_ard_3-2-1_55LCE_2024-02-10_final.stac-item
2024-02-10 10:11:01	ga_s2am_ard_3-2-1_55LCD_2024-02-10_final.stac-item
2024-02-10 10:11:45	ga_s2am_ard_3-2-1_55KCA_2024-02-10_final.stac-item
2024-02-10 10:11:48	ga_s2am_ard_3-2-1_55KBA_2024-02-10_final.stac-item
2024-02-10 10:11:49	ga_s2am_ard_3-2-1_54KZF_2024-02-10_final.stac-item
2024-02-10 10:11:58	ga_s2am_ard_3-2-1_54KXF_2024-02-10_final.stac-item
2024-02-10 10:12:03	ga_s2am_ard_3-2-1_54KZE_2024-02-10_final.stac-item
2024-02-10 10:12:17	ga_s2am_ard_3-2-1_55KBU_2024-02-10_final.stac-item
2024-02-10 10:12:21	ga_s2am_ard_3-2-1_54KYD_2024-02-10_final.stac-item
2024-02-10 10:12:25	ga_s2am_ard_3-2-1_54KXD_2024-02-10_final.stac-item
2024-02-10 10:12:39	ga_s2am_ard_3-2-1_54KXC_2024-02-10_final.stac-item
2024-02-10 10:12:46	ga_s2am_ard_3-2-1_55KBS_2024-02-10_final.stac-item
2024-02-10 10:12:50	ga_s2am_ard_3-2-1_54KYB_2024-02-10_final.stac-item
2024-02-10 10:12:58	ga_s2am_ard_3-2-1_54KYA_2024-02-10_final.stac-item
2024-02-10 10:12:59	ga_s2am_ard_3-2-1_54KXB_2024-02-10_final.stac-item
2024-02-10 10:13:05	ga_s2am_ard_3-2-1_54KYA_2024-02-10_final.stac-item
2024-02-10 10:13:08	ga_s2am_ard_3-2-1_54KXA_2024-02-10_final.stac-item
2024-02-10 10:13:15	ga_s2am_ard_3-2-1_55KBQ_2024-02-10_final.stac-item
2024-02-10 10:13:19	ga_s2am_ard_3-2-1_54KYV_2024-02-10_final.stac-item
2024-02-10 10:13:26	ga_s2am_ard_3-2-1_54KWV_2024-02-10_final.stac-item
2024-02-10 10:13:37	ga_s2am_ard_3-2-1_54KXU_2024-02-10_final.stac-item
2024-02-10 10:13:41	ga_s2am_ard_3-2-1_54KWU_2024-02-10_final.stac-item
2024-02-10 10:14:02	ga_s2am_ard_3-2-1_54JYS_2024-02-10_final.stac-item
2024-02-10 10:14:10	ga_s2am_ard_3-2-1_54JWS_2024-02-10_final.stac-item
2024-02-10 10:14:24	ga_s2am_ard_3-2-1_54JWR_2024-02-10_final.stac-item
2024-02-10 10:14:27	ga_s2am_ard_3-2-1_54JVR_2024-02-10_final.stac-item
2024-02-10 10:14:53	ga_s2am_ard_3-2-1_54JWP_2024-02-10_final.stac-item
2024-02-10 10:14:57	ga_s2am_ard_3-2-1_54JVP_2024-02-10_final.stac-item
2024-02-10 10:15:04	ga_s2am_ard_3-2-1_54JUP_2024-02-10_final.stac-item
2024-02-10 10:15:22	ga_s2am_ard_3-2-1_54JWM_2024-02-10_final.stac-item
2024-02-10 10:15:26	ga_s2am_ard_3-2-1_54JVM_2024-02-10_final.stac-item
2024-02-10 10:15:37	ga_s2am_ard_3-2-1_54JWL_2024-02-10_final.stac-item
2024-02-10 10:15:40	ga_s2am_ard_3-2-1_54JVL_2024-02-10_final.stac-item
2024-02-10 10:16:30	ga_s2am_ard_3-2-1_54HTH_2024-02-10_final.stac-item
2024-02-10 10:17:00	ga_s2am_ard_3-2-1_54HWE_2024-02-10_final.stac-item
2024-02-10 10:17:07	ga_s2am_ard_3-2-1_54HVE_2024-02-10_final.stac-item
2024-02-10 10:17:11	ga_s2am_ard_3-2-1_54HUE_2024-02-10_final.stac-item
2024-02-10 10:17:14	ga_s2am_ard_3-2-1_54HTE_2024-02-10_final.stac-item
2024-02-10 10:17:15	ga_s2am_ard_3-2-1_53HQV_2024-02-10_final.stac-item
2024-02-10 11:50:20	ga_s2am_ard_3-2-1_51LVJ_2024-02-10_nrt.stac-item
2024-02-10 11:50:26	ga_s2am_ard_3-2-1_51LUJ_2024-02-10_nrt.stac-item
2024-02-10 11:50:29	ga_s2am_ard_3-2-1_51LTJ_2024-02-10_nrt.stac-item
2024-02-10 11:50:30	ga_s2am_ard_3-2-1_51LVH_2024-02-10_nrt.stac-item
2024-02-10 11:50:31	ga_s2am_ard_3-2-1_50LRP_2024-02-10_nrt.stac-item
2024-02-10 11:50:34	ga_s2am_ard_3-2-1_50LQP_2024-02-10_nrt.stac-item
2024-02-10 11:50:44	ga_s2am_ard_3-2-1_51LTH_2024-02-10_nrt.stac-item
2024-02-10 11:50:46	ga_s2am_ard_3-2-1_50LRN_2024-02-10_nrt.stac-item
2024-02-10 11:50:49	ga_s2am_ard_3-2-1_50LQN_2024-02-10_nrt.stac-item
2024-02-10 11:50:55	ga_s2am_ard_3-2-1_51LUG_2024-02-10_nrt.stac-item
2024-02-10 11:50:58	ga_s2am_ard_3-2-1_51LTG_2024-02-10_nrt.stac-item
2024-02-10 11:51:00	ga_s2am_ard_3-2-1_50LRM_2024-02-10_nrt.stac-item
2024-02-10 11:51:03	ga_s2am_ard_3-2-1_50LQM_2024-02-10_nrt.stac-item
2024-02-10 11:51:36	ga_s2am_ard_3-2-1_50LPK_2024-02-10_nrt.stac-item
2024-02-10 11:51:50	ga_s2am_ard_3-2-1_50LPJ_2024-02-10_nrt.stac-item
2024-02-10 11:52:26	ga_s2am_ard_3-2-1_51KTA_2024-02-10_nrt.stac-item
2024-02-10 11:52:27	ga_s2am_ard_3-2-1_50KRF_2024-02-10_nrt.stac-item
2024-02-10 11:52:30	ga_s2am_ard_3-2-1_50KQF_2024-02-10_final.stac-item
2024-02-10 11:52:34	ga_s2am_ard_3-2-1_50KPF_2024-02-10_final.stac-item
2024-02-10 11:52:41	ga_s2am_ard_3-2-1_50KRE_2024-02-10_nrt.stac-item
2024-02-10 11:52:59	ga_s2am_ard_3-2-1_50KQD_2024-02-10_final.stac-item
2024-02-10 11:53:03	ga_s2am_ard_3-2-1_50KPD_2024-02-10_final.stac-item
2024-02-10 11:53:06	ga_s2am_ard_3-2-1_50KND_2024-02-10_nrt.stac-item
2024-02-10 11:53:17	ga_s2am_ard_3-2-1_50KPC_2024-02-10_final.stac-item
2024-02-10 11:53:21	ga_s2am_ard_3-2-1_50KNC_2024-02-10_final.stac-item
2024-02-10 11:53:27	ga_s2am_ard_3-2-1_50KMC_2024-02-10_final.stac-item
2024-02-10 11:53:28	ga_s2am_ard_3-2-1_50KQB_2024-02-10_final.stac-item
2024-02-10 11:53:35	ga_s2am_ard_3-2-1_50KNB_2024-02-10_final.stac-item
2024-02-10 11:53:39	ga_s2am_ard_3-2-1_50KMB_2024-02-10_final.stac-item
2024-02-10 11:53:43	ga_s2am_ard_3-2-1_50KQA_2024-02-10_final.stac-item
2024-02-10 11:53:46	ga_s2am_ard_3-2-1_50KPA_2024-02-10_final.stac-item
2024-02-10 11:53:57	ga_s2am_ard_3-2-1_50KQV_2024-02-10_final.stac-item
2024-02-10 11:54:01	ga_s2am_ard_3-2-1_50KPV_2024-02-10_final.stac-item
2024-02-10 11:54:04	ga_s2am_ard_3-2-1_50KNV_2024-02-10_final.stac-item
2024-02-10 11:54:08	ga_s2am_ard_3-2-1_50KMV_2024-02-10_final.stac-item
2024-02-10 11:54:15	ga_s2am_ard_3-2-1_50KPU_2024-02-10_final.stac-item
2024-02-10 11:54:19	ga_s2am_ard_3-2-1_50KNU_2024-02-10_final.stac-item
2024-02-10 11:54:22	ga_s2am_ard_3-2-1_50KMU_2024-02-10_final.stac-item
2024-02-10 11:54:30	ga_s2am_ard_3-2-1_50KLU_2024-02-10_final.stac-item
2024-02-10 11:54:48	ga_s2am_ard_3-2-1_50JNS_2024-02-10_final.stac-item
2024-02-10 11:54:51	ga_s2am_ard_3-2-1_50JMS_2024-02-10_final.stac-item
2024-02-10 11:55:02	ga_s2am_ard_3-2-1_50JNR_2024-02-10_final.stac-item
2024-02-10 11:55:10	ga_s2am_ard_3-2-1_50JNR_2024-02-10_final.stac-item
2024-02-10 11:55:11	ga_s2am_ard_3-2-1_50JMR_2024-02-10_final.stac-item
2024-02-10 11:55:11	ga_s2am_ard_3-2-1_50JMQ_2024-02-10_final.stac-item
2024-02-10 11:55:31	ga_s2am_ard_3-2-1_50JNP_2024-02-10_final.stac-item
2024-02-10 11:55:35	ga_s2am_ard_3-2-1_50JMP_2024-02-10_final.stac-item
2024-02-10 11:56:00	ga_s2am_ard_3-2-1_50JNM_2024-02-10_final.stac-item
2024-02-10 11:56:04	ga_s2am_ard_3-2-1_50JMM_2024-02-10_final.stac-item
2024-02-10 11:56:10	ga_s2am_ard_3-2-1_50JKM_2024-02-10_final.stac-item
2024-02-10 11:56:14	ga_s2am_ard_3-2-1_50JNL_2024-02-10_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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