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
2023-05-14 11:16:36	ga_s2am_ard_3-2-1_52HBJ_2023-05-14_nrt.stac-item
2023-05-14 11:16:37	ga_s2am_ard_3-2-1_51HYD_2023-05-14_final.stac-item
2023-05-14 11:16:41	ga_s2am_ard_3-2-1_51HXD_2023-05-14_final.stac-item
2023-05-14 11:16:44	ga_s2am_ard_3-2-1_51HWD_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 11:16:55	ga_s2am_ard_3-2-1_51HXC_2023-05-14_final.stac-item
2023-05-14 11:16:59	ga_s2am_ard_3-2-1_51HWC_2023-05-14_final.stac-item
2023-05-14 11:17:02	ga_s2am_ard_3-2-1_52HBG_2023-05-14_nrt.stac-item
2023-05-14 11:17:03	ga_s2am_ard_3-2-1_51HYB_2023-05-14_nrt.stac-item
2023-05-14 11:17:05	ga_s2am_ard_3-2-1_51HXB_2023-05-14_final.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 10:40:28	ga_s2am_ard_3-2-1_53LPH_2023-05-15_final.stac-item
2023-05-15 10:40:39	ga_s2am_ard_3-2-1_54LUL_2023-05-15_nrt.stac-item
2023-05-15 10:40:43	ga_s2am_ard_3-2-1_54LTL_2023-05-15_nrt.stac-item
2023-05-15 10:40:44	ga_s2am_ard_3-2-1_53LRF_2023-05-15_nrt.stac-item
2023-05-15 10:40:45	ga_s2am_ard_3-2-1_54LUL_2023-05-15_nrt.stac-item
2023-05-15 10:40:45	ga_s2am_ard_3-2-1_53LQG_2023-05-15_final.stac-item
2023-05-15 10:40:45	ga_s2am_ard_3-2-1_53LQF_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 10:40:47	ga_s2am_ard_3-2-1_53LPF_2023-05-15_final.stac-item
2023-05-15 10:40:50	ga_s2am_ard_3-2-1_54LTL_2023-05-15_nrt.stac-item
2023-05-15 10:40:50	ga_s2am_ard_3-2-1_53LRF_2023-05-15_nrt.stac-item
2023-05-15 10:40:52	ga_s2am_ard_3-2-1_53LQF_2023-05-15_final.stac-item
2023-05-15 10:40:54	ga_s2am_ard_3-2-1_53LPF_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 10:41:30	ga_s2am_ard_3-2-1_54LTH_2023-05-15_nrt.stac-item
2023-05-15 10:41:31	ga_s2am_ard_3-2-1_53LRC_2023-05-15_nrt.stac-item
2023-05-15 10:41:35	ga_s2am_ard_3-2-1_53LQC_2023-05-15_final.stac-item
2023-05-15 10:41:38	ga_s2am_ard_3-2-1_53LPC_2023-05-15_final.stac-item
2023-05-15 10:41:42	ga_s2am_ard_3-2-1_53LNC_2023-05-15_final.stac-item
2023-05-15 10:41:53	ga_s2am_ard_3-2-1_53KPB_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 10:41:56	ga_s2am_ard_3-2-1_53KNB_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 10:42:11	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 10:42:22	ga_s2am_ard_3-2-1_53KPV_2023-05-15_final.stac-item
2023-05-15 10:42:23	ga_s2am_ard_3-2-1_53KRU_2023-05-15_final.stac-item
2023-05-15 10:42:25	ga_s2am_ard_3-2-1_53KNV_2023-05-15_final.stac-item
2023-05-15 10:42:32	ga_s2am_ard_3-2-1_53KQU_2023-05-15_final.stac-item
2023-05-15 10:42:44	ga_s2am_ard_3-2-1_53KQT_2023-05-15_final.stac-item
2023-05-15 10:42:46	ga_s2am_ard_3-2-1_53KPT_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 10:43:23	ga_s2am_ard_3-2-1_53KNR_2023-05-15_final.stac-item
2023-05-15 10:43:25	ga_s2am_ard_3-2-1_53KQQ_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 10:44:03	ga_s2am_ard_3-2-1_53JPN_2023-05-15_final.stac-item
2023-05-15 10:44:13	ga_s2am_ard_3-2-1_53JLN_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 10:44:28	ga_s2am_ard_3-2-1_53JLM_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 10:44:48	ga_s2am_ard_3-2-1_53JKL_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 10:45:01	ga_s2am_ard_3-2-1_53JKK_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 10:45:19	ga_s2am_ard_3-2-1_53JNH_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 10:45:26	ga_s2am_ard_3-2-1_53JLH_2023-05-15_final.stac-item
2023-05-15 10:45:29	ga_s2am_ard_3-2-1_53JKH_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 10:45:42	ga_s2am_ard_3-2-1_53JNF_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 10:45:52	ga_s2am_ard_3-2-1_53JMF_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
2023-05-15 10:46:13	ga_s2am_ard_3-2-1_53HKE_2023-05-15_final.stac-item
2023-05-15 10:46:15	ga_s2am_ard_3-2-1_52HGK_2023-05-15_final.stac-item
2023-05-15 10:46:21	ga_s2am_ard_3-2-1_53HMD_2023-05-15_final.stac-item
2023-05-15 10:46:25	ga_s2am_ard_3-2-1_53HLD_2023-05-15_final.stac-item
2023-05-15 10:46:27	ga_s2am_ard_3-2-1_53HKD_2023-05-15_nrt.stac-item
2023-05-15 10:46:28	ga_s2am_ard_3-2-1_52HGJ_2023-05-15_nrt.stac-item
2023-05-15 10:46:31	ga_s2am_ard_3-2-1_53HMC_2023-05-15_final.stac-item
2023-05-15 10:46:32	ga_s2am_ard_3-2-1_53HLC_2023-05-15_nrt.stac-item
2023-05-15 10:46:33	ga_s2am_ard_3-2-1_52HFJ_2023-05-15_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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