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
2023-09-23 10:10:00	ga_s2am_ard_3-2-1_55LEH_2023-09-23_nrt.stac-item
2023-09-23 10:10:05	ga_s2am_ard_3-2-1_55LDH_2023-09-23_nrt.stac-item
2023-09-23 10:10:10	ga_s2am_ard_3-2-1_55LEG_2023-09-23_nrt.stac-item
2023-09-23 10:10:19	ga_s2am_ard_3-2-1_55LDG_2023-09-23_nrt.stac-item
2023-09-23 10:10:34	ga_s2am_ard_3-2-1_55LDF_2023-09-23_nrt.stac-item
2023-09-23 10:10:40	ga_s2am_ard_3-2-1_55LBF_2023-09-23_nrt.stac-item
2023-09-23 10:10:42	ga_s2am_ard_3-2-1_54LZL_2023-09-23_final.stac-item
2023-09-23 10:11:10	ga_s2am_ard_3-2-1_55LBD_2023-09-23_final.stac-item
2023-09-23 10:11:11	ga_s2am_ard_3-2-1_54LZJ_2023-09-23_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 10:11:26	ga_s2am_ard_3-2-1_54LZH_2023-09-23_final.stac-item
2023-09-23 10:11:29	ga_s2am_ard_3-2-1_54LYH_2023-09-23_final.stac-item
2023-09-23 10:12:37	ga_s2am_ard_3-2-1_55KBT_2023-09-23_final.stac-item
2023-09-23 10:12:41	ga_s2am_ard_3-2-1_54KYC_2023-09-23_final.stac-item
2023-09-23 10:13:10	ga_s2am_ard_3-2-1_54KYA_2023-09-23_final.stac-item
2023-09-23 10:13:31	ga_s2am_ard_3-2-1_54KWV_2023-09-23_final.stac-item
2023-09-23 10:13:46	ga_s2am_ard_3-2-1_54KWU_2023-09-23_final.stac-item
2023-09-23 10:14:23	ga_s2am_ard_3-2-1_54JYR_2023-09-23_final.stac-item
2023-09-23 10:14:26	ga_s2am_ard_3-2-1_54JXR_2023-09-23_final.stac-item
2023-09-23 10:14:37	ga_s2am_ard_3-2-1_54JYQ_2023-09-23_final.stac-item
2023-09-23 10:14:41	ga_s2am_ard_3-2-1_54JXQ_2023-09-23_final.stac-item
2023-09-23 10:14:44	ga_s2am_ard_3-2-1_54JWQ_2023-09-23_final.stac-item
2023-09-23 10:14:48	ga_s2am_ard_3-2-1_54JVQ_2023-09-23_final.stac-item
2023-09-23 10:14:49	ga_s2am_ard_3-2-1_54JYP_2023-09-23_final.stac-item
2023-09-23 10:14:59	ga_s2am_ard_3-2-1_54JWP_2023-09-23_final.stac-item
2023-09-23 10:15:02	ga_s2am_ard_3-2-1_54JVP_2023-09-23_final.stac-item
2023-09-23 10:15:09	ga_s2am_ard_3-2-1_54JUP_2023-09-23_final.stac-item
2023-09-23 10:15:11	ga_s2am_ard_3-2-1_54JVN_2023-09-23_final.stac-item
2023-09-23 10:15:13	ga_s2am_ard_3-2-1_54JUN_2023-09-23_final.stac-item
2023-09-23 10:15:16	ga_s2am_ard_3-2-1_54JWN_2023-09-23_final.stac-item
2023-09-23 10:15:18	ga_s2am_ard_3-2-1_54JVN_2023-09-23_final.stac-item
2023-09-23 10:15:24	ga_s2am_ard_3-2-1_54JXM_2023-09-23_final.stac-item
2023-09-23 10:15:28	ga_s2am_ard_3-2-1_54JWM_2023-09-23_final.stac-item
2023-09-23 10:15:31	ga_s2am_ard_3-2-1_54JVM_2023-09-23_final.stac-item
2023-09-23 10:15:34	ga_s2am_ard_3-2-1_54JUM_2023-09-23_final.stac-item
2023-09-23 10:15:52	ga_s2am_ard_3-2-1_54HXK_2023-09-23_final.stac-item
2023-09-23 10:15:57	ga_s2am_ard_3-2-1_54HWK_2023-09-23_final.stac-item
2023-09-23 10:16:00	ga_s2am_ard_3-2-1_54HVK_2023-09-23_final.stac-item
2023-09-23 10:16:04	ga_s2am_ard_3-2-1_54HUK_2023-09-23_final.stac-item
2023-09-23 10:16:29	ga_s2am_ard_3-2-1_54HVH_2023-09-23_final.stac-item
2023-09-23 10:16:40	ga_s2am_ard_3-2-1_54HWG_2023-09-23_final.stac-item
2023-09-23 10:16:47	ga_s2am_ard_3-2-1_54HUG_2023-09-23_final.stac-item
2023-09-23 10:16:54	ga_s2am_ard_3-2-1_54HWF_2023-09-23_final.stac-item
2023-09-23 10:16:58	ga_s2am_ard_3-2-1_54HVF_2023-09-23_final.stac-item
2023-09-23 10:17:05	ga_s2am_ard_3-2-1_54HWE_2023-09-23_final.stac-item
2023-09-23 10:17:05	ga_s2am_ard_3-2-1_54HTF_2023-09-23_final.stac-item
2023-09-23 10:17:06	ga_s2am_ard_3-2-1_53HQA_2023-09-23_final.stac-item
2023-09-23 10:17:13	ga_s2am_ard_3-2-1_54HVE_2023-09-23_final.stac-item
2023-09-23 10:17:17	ga_s2am_ard_3-2-1_54HUE_2023-09-23_final.stac-item
2023-09-23 10:17:20	ga_s2am_ard_3-2-1_54HTE_2023-09-23_final.stac-item
2023-09-23 10:17:21	ga_s2am_ard_3-2-1_53HQV_2023-09-23_final.stac-item
2023-09-23 10:17:27	ga_s2am_ard_3-2-1_54HVD_2023-09-23_final.stac-item
2023-09-23 10:17:31	ga_s2am_ard_3-2-1_54HUD_2023-09-23_final.stac-item
2023-09-23 10:17:35	ga_s2am_ard_3-2-1_53HQU_2023-09-23_nrt.stac-item
2023-09-23 10:17:40	ga_s2am_ard_3-2-1_53HPU_2023-09-23_nrt.stac-item
2023-09-23 11:50:46	ga_s2am_ard_3-2-1_51LUH_2023-09-23_nrt.stac-item
2023-09-23 11:51:19	ga_s2am_ard_3-2-1_51LTF_2023-09-23_nrt.stac-item
2023-09-23 11:51:23	ga_s2am_ard_3-2-1_50LQL_2023-09-23_nrt.stac-item
2023-09-23 11:51:40	ga_s2am_ard_3-2-1_51LUD_2023-09-23_final.stac-item
2023-09-23 11:51:47	ga_s2am_ard_3-2-1_51LTD_2023-09-23_nrt.stac-item
2023-09-23 11:51:49	ga_s2am_ard_3-2-1_50LRJ_2023-09-23_nrt.stac-item
2023-09-23 11:51:52	ga_s2am_ard_3-2-1_50LQJ_2023-09-23_nrt.stac-item
2023-09-23 11:52:02	ga_s2am_ard_3-2-1_51LTC_2023-09-23_nrt.stac-item
2023-09-23 11:52:07	ga_s2am_ard_3-2-1_50LQH_2023-09-23_nrt.stac-item
2023-09-23 11:52:55	ga_s2am_ard_3-2-1_51KTU_2023-09-23_final.stac-item
2023-09-23 11:53:19	ga_s2am_ard_3-2-1_50KQC_2023-09-23_final.stac-item
2023-09-23 11:53:48	ga_s2am_ard_3-2-1_50KQA_2023-09-23_final.stac-item
2023-09-23 11:54:10	ga_s2am_ard_3-2-1_50KNV_2023-09-23_final.stac-item
2023-09-23 11:54:13	ga_s2am_ard_3-2-1_50KMV_2023-09-23_final.stac-item
2023-09-23 11:54:24	ga_s2am_ard_3-2-1_50KNU_2023-09-23_final.stac-item
2023-09-23 11:54:25	ga_s2am_ard_3-2-1_50JQT_2023-09-23_final.stac-item
2023-09-23 11:54:28	ga_s2am_ard_3-2-1_50KMU_2023-09-23_final.stac-item
2023-09-23 11:54:50	ga_s2am_ard_3-2-1_50JPS_2023-09-23_final.stac-item
2023-09-23 11:55:00	ga_s2am_ard_3-2-1_50JLS_2023-09-23_final.stac-item
2023-09-23 11:55:04	ga_s2am_ard_3-2-1_50JPR_2023-09-23_final.stac-item
2023-09-23 11:55:14	ga_s2am_ard_3-2-1_50JLR_2023-09-23_final.stac-item
2023-09-23 11:55:17	ga_s2am_ard_3-2-1_50JPQ_2023-09-23_final.stac-item
2023-09-23 11:55:22	ga_s2am_ard_3-2-1_50JNQ_2023-09-23_final.stac-item
2023-09-23 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2023-09-23_final.stac-item
2023-09-23 11:55:28	ga_s2am_ard_3-2-1_50JPP_2023-09-23_final.stac-item
2023-09-23 11:55:29	ga_s2am_ard_3-2-1_50JLQ_2023-09-23_final.stac-item
2023-09-23 11:55:36	ga_s2am_ard_3-2-1_50JNP_2023-09-23_final.stac-item
2023-09-23 11:55:40	ga_s2am_ard_3-2-1_50JMP_2023-09-23_final.stac-item
2023-09-23 11:55:44	ga_s2am_ard_3-2-1_50JLP_2023-09-23_final.stac-item
2023-09-23 11:55:53	ga_s2am_ard_3-2-1_50JKN_2023-09-23_final.stac-item
2023-09-23 11:55:58	ga_s2am_ard_3-2-1_50JLN_2023-09-23_final.stac-item
2023-09-23 11:56:01	ga_s2am_ard_3-2-1_50JKN_2023-09-23_final.stac-item
2023-09-23 11:56:06	ga_s2am_ard_3-2-1_50JNM_2023-09-23_final.stac-item
2023-09-23 11:56:09	ga_s2am_ard_3-2-1_50JMM_2023-09-23_final.stac-item
2023-09-23 11:56:13	ga_s2am_ard_3-2-1_50JLM_2023-09-23_final.stac-item
2023-09-23 11:56:16	ga_s2am_ard_3-2-1_50JKM_2023-09-23_final.stac-item
2023-09-23 11:56:27	ga_s2am_ard_3-2-1_50JLL_2023-09-23_final.stac-item
2023-09-23 11:56:30	ga_s2am_ard_3-2-1_50JKL_2023-09-23_nrt.stac-item
2023-09-23 11:56:31	ga_s2am_ard_3-2-1_50HNK_2023-09-23_final.stac-item
2023-09-23 11:56:35	ga_s2am_ard_3-2-1_49JGF_2023-09-23_nrt.stac-item
2023-09-23 11:56:42	ga_s2am_ard_3-2-1_50HLK_2023-09-23_final.stac-item
2023-09-23 11:56:45	ga_s2am_ard_3-2-1_50HKK_2023-09-23_nrt.stac-item
2023-09-23 11:56:47	ga_s2am_ard_3-2-1_49HGE_2023-09-23_nrt.stac-item
2023-09-23 11:57:00	ga_s2am_ard_3-2-1_50HKJ_2023-09-23_nrt.stac-item
2023-09-23 11:57:02	ga_s2am_ard_3-2-1_49HGD_2023-09-23_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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