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:

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First 100 results (query limit)

Time (local)	Label
2023-05-14 11:11:50	ga_s2am_ard_3-2-1_52KGG_2023-05-14_final.stac-item
2023-05-14 11:12:17	ga_s2am_ard_3-2-1_52KEF_2023-05-14_final.stac-item
2023-05-14 11:13:15	ga_s2am_ard_3-2-1_52KEB_2023-05-14_final.stac-item
2023-05-14 11:13:19	ga_s2am_ard_3-2-1_52KDB_2023-05-14_final.stac-item
2023-05-14 11:13:30	ga_s2am_ard_3-2-1_52KEA_2023-05-14_final.stac-item
2023-05-14 11:13:37	ga_s2am_ard_3-2-1_52KCA_2023-05-14_final.stac-item
2023-05-14 11:13:39	ga_s2am_ard_3-2-1_52KBA_2023-05-14_final.stac-item
2023-05-14 11:13:44	ga_s2am_ard_3-2-1_52KEV_2023-05-14_final.stac-item
2023-05-14 11:13:48	ga_s2am_ard_3-2-1_52KDV_2023-05-14_final.stac-item
2023-05-14 11:13:51	ga_s2am_ard_3-2-1_52KCV_2023-05-14_final.stac-item
2023-05-14 11:13:54	ga_s2am_ard_3-2-1_52KBV_2023-05-14_final.stac-item
2023-05-14 11:14:06	ga_s2am_ard_3-2-1_52KCU_2023-05-14_final.stac-item
2023-05-14 11:14:09	ga_s2am_ard_3-2-1_52KBU_2023-05-14_final.stac-item
2023-05-14 11:14:17	ga_s2am_ard_3-2-1_52JDT_2023-05-14_final.stac-item
2023-05-14 11:14:23	ga_s2am_ard_3-2-1_52JBT_2023-05-14_final.stac-item
2023-05-14 11:14:38	ga_s2am_ard_3-2-1_51JZM_2023-05-14_final.stac-item
2023-05-14 11:14:46	ga_s2am_ard_3-2-1_52JDR_2023-05-14_final.stac-item
2023-05-14 11:14:49	ga_s2am_ard_3-2-1_52JCR_2023-05-14_final.stac-item
2023-05-14 11:14:53	ga_s2am_ard_3-2-1_52JBR_2023-05-14_final.stac-item
2023-05-14 11:14:56	ga_s2am_ard_3-2-1_51JYL_2023-05-14_final.stac-item
2023-05-14 11:15:00	ga_s2am_ard_3-2-1_52JDQ_2023-05-14_final.stac-item
2023-05-14 11:15:04	ga_s2am_ard_3-2-1_52JCQ_2023-05-14_final.stac-item
2023-05-14 11:15:10	ga_s2am_ard_3-2-1_51JYK_2023-05-14_final.stac-item
2023-05-14 11:15:12	ga_s2am_ard_3-2-1_52JDP_2023-05-14_final.stac-item
2023-05-14 11:15:18	ga_s2am_ard_3-2-1_52JCP_2023-05-14_final.stac-item
2023-05-14 11:15:22	ga_s2am_ard_3-2-1_52JBP_2023-05-14_final.stac-item
2023-05-14 11:15:30	ga_s2am_ard_3-2-1_51JXJ_2023-05-14_final.stac-item
2023-05-14 11:15:39	ga_s2am_ard_3-2-1_51JYH_2023-05-14_final.stac-item
2023-05-14 11:15:48	ga_s2am_ard_3-2-1_52JCM_2023-05-14_final.stac-item
2023-05-14 11:15:51	ga_s2am_ard_3-2-1_52JBM_2023-05-14_final.stac-item
2023-05-14 11:15:57	ga_s2am_ard_3-2-1_51JXG_2023-05-14_final.stac-item
2023-05-14 11:16:02	ga_s2am_ard_3-2-1_52JCL_2023-05-14_final.stac-item
2023-05-14 11:16:06	ga_s2am_ard_3-2-1_52JBL_2023-05-14_final.stac-item
2023-05-14 11:16:08	ga_s2am_ard_3-2-1_51JYF_2023-05-14_final.stac-item
2023-05-14 11:16:12	ga_s2am_ard_3-2-1_51JXF_2023-05-14_final.stac-item
2023-05-14 11:16:16	ga_s2am_ard_3-2-1_52HCK_2023-05-14_final.stac-item
2023-05-14 11:16:20	ga_s2am_ard_3-2-1_51JWF_2023-05-14_final.stac-item
2023-05-14 11:16:28	ga_s2am_ard_3-2-1_51HWE_2023-05-14_final.stac-item
2023-05-14 11:16:30	ga_s2am_ard_3-2-1_51HYE_2023-05-14_final.stac-item
2023-05-14 11:16:32	ga_s2am_ard_3-2-1_51HXE_2023-05-14_final.stac-item
2023-05-14 11:16:33	ga_s2am_ard_3-2-1_51HWE_2023-05-14_final.stac-item
2023-05-14 11:16:49	ga_s2am_ard_3-2-1_52HBH_2023-05-14_nrt.stac-item
2023-05-14 11:16:51	ga_s2am_ard_3-2-1_51HYC_2023-05-14_nrt.stac-item
2023-05-14 11:17:06	ga_s2am_ard_3-2-1_51HWB_2023-05-14_final.stac-item
2023-05-15 09:05:10	ga_s2am_ard_3-2-1_57JWF_2023-05-14_final.stac-item
2023-05-15 09:05:14	ga_s2am_ard_3-2-1_57JVF_2023-05-14_final.stac-item
2023-05-15 10:40:45	ga_s2am_ard_3-2-1_53LQG_2023-05-15_final.stac-item
2023-05-15 10:40:46	ga_s2am_ard_3-2-1_53LPG_2023-05-15_final.stac-item
2023-05-15 10:41:01	ga_s2am_ard_3-2-1_54LTK_2023-05-15_nrt.stac-item
2023-05-15 10:41:02	ga_s2am_ard_3-2-1_53LRE_2023-05-15_nrt.stac-item
2023-05-15 10:41:06	ga_s2am_ard_3-2-1_53LQE_2023-05-15_final.stac-item
2023-05-15 10:41:15	ga_s2am_ard_3-2-1_54LTJ_2023-05-15_nrt.stac-item
2023-05-15 10:41:17	ga_s2am_ard_3-2-1_53LRD_2023-05-15_nrt.stac-item
2023-05-15 10:41:20	ga_s2am_ard_3-2-1_53LQD_2023-05-15_final.stac-item
2023-05-15 10:41:24	ga_s2am_ard_3-2-1_53LPD_2023-05-15_final.stac-item
2023-05-15 10:41:43	ga_s2am_ard_3-2-1_54KTG_2023-05-15_final.stac-item
2023-05-15 10:41:46	ga_s2am_ard_3-2-1_53KRB_2023-05-15_final.stac-item
2023-05-15 10:41:49	ga_s2am_ard_3-2-1_53KQB_2023-05-15_final.stac-item
2023-05-15 10:41:54	ga_s2am_ard_3-2-1_54KTF_2023-05-15_final.stac-item
2023-05-15 10:42:00	ga_s2am_ard_3-2-1_53KRA_2023-05-15_final.stac-item
2023-05-15 10:42:04	ga_s2am_ard_3-2-1_53KQA_2023-05-15_final.stac-item
2023-05-15 10:42:11	ga_s2am_ard_3-2-1_53KNA_2023-05-15_final.stac-item
2023-05-15 10:42:13	ga_s2am_ard_3-2-1_53KRV_2023-05-15_final.stac-item
2023-05-15 10:42:18	ga_s2am_ard_3-2-1_53KQV_2023-05-15_final.stac-item
2023-05-15 10:43:09	ga_s2am_ard_3-2-1_53KNS_2023-05-15_final.stac-item
2023-05-15 10:43:12	ga_s2am_ard_3-2-1_53KMS_2023-05-15_final.stac-item
2023-05-15 10:43:15	ga_s2am_ard_3-2-1_53KQR_2023-05-15_final.stac-item
2023-05-15 10:43:20	ga_s2am_ard_3-2-1_53KPR_2023-05-15_final.stac-item
2023-05-15 10:43:27	ga_s2am_ard_3-2-1_53KMR_2023-05-15_final.stac-item
2023-05-15 10:43:34	ga_s2am_ard_3-2-1_53KPQ_2023-05-15_final.stac-item
2023-05-15 10:43:38	ga_s2am_ard_3-2-1_53KNQ_2023-05-15_final.stac-item
2023-05-15 10:43:41	ga_s2am_ard_3-2-1_53KMQ_2023-05-15_final.stac-item
2023-05-15 10:43:46	ga_s2am_ard_3-2-1_53KLQ_2023-05-15_final.stac-item
2023-05-15 10:43:49	ga_s2am_ard_3-2-1_53KPP_2023-05-15_final.stac-item
2023-05-15 10:43:59	ga_s2am_ard_3-2-1_53KLP_2023-05-15_final.stac-item
2023-05-15 10:44:07	ga_s2am_ard_3-2-1_53JNN_2023-05-15_final.stac-item
2023-05-15 10:44:10	ga_s2am_ard_3-2-1_53JMN_2023-05-15_final.stac-item
2023-05-15 10:44:17	ga_s2am_ard_3-2-1_53JPM_2023-05-15_final.stac-item
2023-05-15 10:44:29	ga_s2am_ard_3-2-1_53JPL_2023-05-15_final.stac-item
2023-05-15 10:44:36	ga_s2am_ard_3-2-1_53JNL_2023-05-15_final.stac-item
2023-05-15 10:44:39	ga_s2am_ard_3-2-1_53JML_2023-05-15_final.stac-item
2023-05-15 10:44:43	ga_s2am_ard_3-2-1_53JLL_2023-05-15_final.stac-item
2023-05-15 10:44:50	ga_s2am_ard_3-2-1_53JNK_2023-05-15_final.stac-item
2023-05-15 10:44:54	ga_s2am_ard_3-2-1_53JMK_2023-05-15_final.stac-item
2023-05-15 10:44:57	ga_s2am_ard_3-2-1_53JLK_2023-05-15_final.stac-item
2023-05-15 10:45:05	ga_s2am_ard_3-2-1_53JNJ_2023-05-15_final.stac-item
2023-05-15 10:45:08	ga_s2am_ard_3-2-1_53JMJ_2023-05-15_final.stac-item
2023-05-15 10:45:12	ga_s2am_ard_3-2-1_53JLJ_2023-05-15_final.stac-item
2023-05-15 10:45:15	ga_s2am_ard_3-2-1_53JKJ_2023-05-15_final.stac-item
2023-05-15 10:45:23	ga_s2am_ard_3-2-1_53JMH_2023-05-15_final.stac-item
2023-05-15 10:45:32	ga_s2am_ard_3-2-1_53JNG_2023-05-15_final.stac-item
2023-05-15 10:45:37	ga_s2am_ard_3-2-1_53JMG_2023-05-15_final.stac-item
2023-05-15 10:45:41	ga_s2am_ard_3-2-1_53JLG_2023-05-15_final.stac-item
2023-05-15 10:45:44	ga_s2am_ard_3-2-1_53JKG_2023-05-15_final.stac-item
2023-05-15 10:45:47	ga_s2am_ard_3-2-1_52JGM_2023-05-15_final.stac-item
2023-05-15 10:45:55	ga_s2am_ard_3-2-1_53JLF_2023-05-15_final.stac-item
2023-05-15 10:45:59	ga_s2am_ard_3-2-1_53JKF_2023-05-15_final.stac-item
2023-05-15 10:46:01	ga_s2am_ard_3-2-1_52JGL_2023-05-15_final.stac-item
2023-05-15 10:46:06	ga_s2am_ard_3-2-1_53HME_2023-05-15_final.stac-item
2023-05-15 10:46:10	ga_s2am_ard_3-2-1_53HLE_2023-05-15_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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