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
2023-05-27 11:26:26	ga_s2am_ard_3-2-1_51HXE_2023-05-27_final.stac-item
2023-05-27 11:26:36	ga_s2am_ard_3-2-1_51HUE_2023-05-27_final.stac-item
2023-05-27 11:26:51	ga_s2am_ard_3-2-1_51HXC_2023-05-27_final.stac-item
2023-05-27 11:26:58	ga_s2am_ard_3-2-1_51HWC_2023-05-27_final.stac-item
2023-05-27 11:27:02	ga_s2am_ard_3-2-1_51HVC_2023-05-27_final.stac-item
2023-05-27 11:27:11	ga_s2am_ard_3-2-1_51HTC_2023-05-27_final.stac-item
2023-05-27 11:27:11	ga_s2am_ard_3-2-1_51HWB_2023-05-27_final.stac-item
2023-05-28 09:15:11	ga_s2am_ard_3-2-1_56JPM_2023-05-27_nrt.stac-item
2023-05-28 09:15:33	ga_s2am_ard_3-2-1_56HPK_2023-05-27_nrt.stac-item
2023-05-28 10:50:06	ga_s2am_ard_3-2-1_53LQJ_2023-05-28_final.stac-item
2023-05-28 10:50:10	ga_s2am_ard_3-2-1_53LPJ_2023-05-28_final.stac-item
2023-05-28 10:50:13	ga_s2am_ard_3-2-1_53LNJ_2023-05-28_nrt.stac-item
2023-05-28 10:50:16	ga_s2am_ard_3-2-1_53LMJ_2023-05-28_nrt.stac-item
2023-05-28 10:50:24	ga_s2am_ard_3-2-1_53LPH_2023-05-28_final.stac-item
2023-05-28 10:50:27	ga_s2am_ard_3-2-1_53LNH_2023-05-28_final.stac-item
2023-05-28 10:50:42	ga_s2am_ard_3-2-1_53LNG_2023-05-28_final.stac-item
2023-05-28 10:50:45	ga_s2am_ard_3-2-1_53LMG_2023-05-28_final.stac-item
2023-05-28 10:50:52	ga_s2am_ard_3-2-1_53LPF_2023-05-28_final.stac-item
2023-05-28 10:50:56	ga_s2am_ard_3-2-1_53LMF_2023-05-28_final.stac-item
2023-05-28 10:50:58	ga_s2am_ard_3-2-1_53LLF_2023-05-28_final.stac-item
2023-05-28 10:50:58	ga_s2am_ard_3-2-1_53LPE_2023-05-28_final.stac-item
2023-05-28 10:51:02	ga_s2am_ard_3-2-1_53LMF_2023-05-28_final.stac-item
2023-05-28 10:51:04	ga_s2am_ard_3-2-1_53LLF_2023-05-28_final.stac-item
2023-05-28 10:51:08	ga_s2am_ard_3-2-1_53LPE_2023-05-28_final.stac-item
2023-05-28 10:51:11	ga_s2am_ard_3-2-1_53LNE_2023-05-28_final.stac-item
2023-05-28 10:51:14	ga_s2am_ard_3-2-1_53LME_2023-05-28_final.stac-item
2023-05-28 10:51:17	ga_s2am_ard_3-2-1_53LLE_2023-05-28_final.stac-item
2023-05-28 10:51:22	ga_s2am_ard_3-2-1_53LPD_2023-05-28_final.stac-item
2023-05-28 10:51:25	ga_s2am_ard_3-2-1_53LND_2023-05-28_final.stac-item
2023-05-28 10:51:29	ga_s2am_ard_3-2-1_53LMD_2023-05-28_final.stac-item
2023-05-28 10:51:32	ga_s2am_ard_3-2-1_53LLD_2023-05-28_final.stac-item
2023-05-28 10:51:34	ga_s2am_ard_3-2-1_53LPC_2023-05-28_final.stac-item
2023-05-28 10:51:40	ga_s2am_ard_3-2-1_53LNC_2023-05-28_final.stac-item
2023-05-28 10:51:43	ga_s2am_ard_3-2-1_53LMC_2023-05-28_final.stac-item
2023-05-28 10:51:44	ga_s2am_ard_3-2-1_53KPB_2023-05-28_final.stac-item
2023-05-28 10:51:47	ga_s2am_ard_3-2-1_53LLC_2023-05-28_final.stac-item
2023-05-28 10:51:54	ga_s2am_ard_3-2-1_53KNB_2023-05-28_final.stac-item
2023-05-28 10:51:58	ga_s2am_ard_3-2-1_53KMB_2023-05-28_final.stac-item
2023-05-28 10:52:01	ga_s2am_ard_3-2-1_53KLB_2023-05-28_final.stac-item
2023-05-28 10:52:05	ga_s2am_ard_3-2-1_53KKB_2023-05-28_final.stac-item
2023-05-28 10:52:09	ga_s2am_ard_3-2-1_53KNA_2023-05-28_final.stac-item
2023-05-28 10:52:15	ga_s2am_ard_3-2-1_53KLA_2023-05-28_final.stac-item
2023-05-28 10:52:18	ga_s2am_ard_3-2-1_53KKA_2023-05-28_final.stac-item
2023-05-28 10:52:24	ga_s2am_ard_3-2-1_53KNV_2023-05-28_final.stac-item
2023-05-28 10:52:27	ga_s2am_ard_3-2-1_53KMV_2023-05-28_final.stac-item
2023-05-28 10:52:30	ga_s2am_ard_3-2-1_53KLV_2023-05-28_final.stac-item
2023-05-28 10:52:34	ga_s2am_ard_3-2-1_52KHE_2023-05-28_final.stac-item
2023-05-28 10:52:37	ga_s2am_ard_3-2-1_53KNU_2023-05-28_final.stac-item
2023-05-28 10:52:41	ga_s2am_ard_3-2-1_53KMU_2023-05-28_final.stac-item
2023-05-28 10:52:45	ga_s2am_ard_3-2-1_53KLU_2023-05-28_final.stac-item
2023-05-28 10:52:48	ga_s2am_ard_3-2-1_53KKU_2023-05-28_final.stac-item
2023-05-28 10:52:48	ga_s2am_ard_3-2-1_52KHD_2023-05-28_final.stac-item
2023-05-28 10:52:48	ga_s2am_ard_3-2-1_53KNT_2023-05-28_final.stac-item
2023-05-28 10:52:56	ga_s2am_ard_3-2-1_53KMT_2023-05-28_final.stac-item
2023-05-28 10:53:02	ga_s2am_ard_3-2-1_53KKT_2023-05-28_final.stac-item
2023-05-28 10:53:03	ga_s2am_ard_3-2-1_52KHC_2023-05-28_final.stac-item
2023-05-28 10:53:10	ga_s2am_ard_3-2-1_53KMS_2023-05-28_final.stac-item
2023-05-28 10:53:14	ga_s2am_ard_3-2-1_53KLS_2023-05-28_final.stac-item
2023-05-28 10:53:17	ga_s2am_ard_3-2-1_53KKS_2023-05-28_final.stac-item
2023-05-28 10:53:18	ga_s2am_ard_3-2-1_52KHB_2023-05-28_final.stac-item
2023-05-28 10:53:24	ga_s2am_ard_3-2-1_52KGB_2023-05-28_final.stac-item
2023-05-28 10:53:25	ga_s2am_ard_3-2-1_53KMR_2023-05-28_final.stac-item
2023-05-28 10:53:28	ga_s2am_ard_3-2-1_53KLR_2023-05-28_final.stac-item
2023-05-28 10:53:31	ga_s2am_ard_3-2-1_52KHA_2023-05-28_final.stac-item
2023-05-28 10:53:33	ga_s2am_ard_3-2-1_52KGA_2023-05-28_final.stac-item
2023-05-28 10:53:35	ga_s2am_ard_3-2-1_53KMQ_2023-05-28_final.stac-item
2023-05-28 10:53:36	ga_s2am_ard_3-2-1_53KLQ_2023-05-28_final.stac-item
2023-05-28 10:53:37	ga_s2am_ard_3-2-1_53KLR_2023-05-28_final.stac-item
2023-05-28 10:53:37	ga_s2am_ard_3-2-1_52KHV_2023-05-28_final.stac-item
2023-05-28 10:53:38	ga_s2am_ard_3-2-1_52KHA_2023-05-28_final.stac-item
2023-05-28 10:53:38	ga_s2am_ard_3-2-1_53KKR_2023-05-28_final.stac-item
2023-05-28 10:53:38	ga_s2am_ard_3-2-1_53KKQ_2023-05-28_final.stac-item
2023-05-28 10:53:39	ga_s2am_ard_3-2-1_52KGA_2023-05-28_final.stac-item
2023-05-28 10:53:46	ga_s2am_ard_3-2-1_53KKQ_2023-05-28_final.stac-item
2023-05-28 10:53:46	ga_s2am_ard_3-2-1_52KHV_2023-05-28_final.stac-item
2023-05-28 10:53:50	ga_s2am_ard_3-2-1_52KGV_2023-05-28_final.stac-item
2023-05-28 10:53:53	ga_s2am_ard_3-2-1_53KMP_2023-05-28_final.stac-item
2023-05-28 10:53:57	ga_s2am_ard_3-2-1_53KLP_2023-05-28_final.stac-item
2023-05-28 10:54:01	ga_s2am_ard_3-2-1_52KHU_2023-05-28_final.stac-item
2023-05-28 10:54:03	ga_s2am_ard_3-2-1_53JMN_2023-05-28_final.stac-item
2023-05-28 10:54:12	ga_s2am_ard_3-2-1_53JLN_2023-05-28_final.stac-item
2023-05-28 10:54:15	ga_s2am_ard_3-2-1_52JHT_2023-05-28_final.stac-item
2023-05-28 10:54:19	ga_s2am_ard_3-2-1_52JGT_2023-05-28_final.stac-item
2023-05-28 10:54:25	ga_s2am_ard_3-2-1_52JFT_2023-05-28_final.stac-item
2023-05-28 10:54:26	ga_s2am_ard_3-2-1_53JLM_2023-05-28_final.stac-item
2023-05-28 10:54:30	ga_s2am_ard_3-2-1_52JHS_2023-05-28_final.stac-item
2023-05-28 10:54:33	ga_s2am_ard_3-2-1_52JGS_2023-05-28_final.stac-item
2023-05-28 10:54:37	ga_s2am_ard_3-2-1_52JFS_2023-05-28_final.stac-item
2023-05-28 10:54:41	ga_s2am_ard_3-2-1_53JLL_2023-05-28_final.stac-item
2023-05-28 10:54:44	ga_s2am_ard_3-2-1_53JKL_2023-05-28_final.stac-item
2023-05-28 10:54:48	ga_s2am_ard_3-2-1_52JGR_2023-05-28_final.stac-item
2023-05-28 10:54:59	ga_s2am_ard_3-2-1_53JKK_2023-05-28_final.stac-item
2023-05-28 10:55:18	ga_s2am_ard_3-2-1_53JLH_2023-05-28_final.stac-item
2023-05-28 10:55:26	ga_s2am_ard_3-2-1_52JEP_2023-05-28_final.stac-item
2023-05-28 10:55:43	ga_s2am_ard_3-2-1_53JKG_2023-05-28_final.stac-item
2023-05-28 10:55:46	ga_s2am_ard_3-2-1_52JGM_2023-05-28_final.stac-item
2023-05-28 10:55:49	ga_s2am_ard_3-2-1_52JFM_2023-05-28_final.stac-item
2023-05-28 10:55:53	ga_s2am_ard_3-2-1_52JEM_2023-05-28_final.stac-item
2023-05-28 10:56:07	ga_s2am_ard_3-2-1_52JEL_2023-05-28_final.stac-item
2023-05-28 10:56:14	ga_s2am_ard_3-2-1_52HGK_2023-05-28_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

Other products

All years