Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2021-01-16 11:54:09	ga_s2am_ard_3-2-1_50KNV_2021-01-16_final.stac-item
2021-01-16 11:54:12	ga_s2am_ard_3-2-1_50KMV_2021-01-16_final.stac-item
2021-01-16 11:54:14	ga_s2am_ard_3-2-1_50KQU_2021-01-16_final.stac-item
2021-01-16 11:54:20	ga_s2am_ard_3-2-1_50KPU_2021-01-16_final.stac-item
2021-01-16 11:54:23	ga_s2am_ard_3-2-1_50KNU_2021-01-16_final.stac-item
2021-01-16 11:54:24	ga_s2am_ard_3-2-1_50JQT_2021-01-16_final.stac-item
2021-01-16 11:54:27	ga_s2am_ard_3-2-1_50KMU_2021-01-16_final.stac-item
2021-01-16 11:54:34	ga_s2am_ard_3-2-1_50KLU_2021-01-16_final.stac-item
2021-01-16 11:54:34	ga_s2am_ard_3-2-1_50JPT_2021-01-16_final.stac-item
2021-01-16 11:54:38	ga_s2am_ard_3-2-1_50JNT_2021-01-16_final.stac-item
2021-01-16 11:54:41	ga_s2am_ard_3-2-1_50JMT_2021-01-16_final.stac-item
2021-01-16 11:54:45	ga_s2am_ard_3-2-1_50JLT_2021-01-16_final.stac-item
2021-01-16 11:54:49	ga_s2am_ard_3-2-1_50JPS_2021-01-16_final.stac-item
2021-01-16 11:54:52	ga_s2am_ard_3-2-1_50JNS_2021-01-16_final.stac-item
2021-01-16 11:54:56	ga_s2am_ard_3-2-1_50JMS_2021-01-16_final.stac-item
2021-01-16 11:54:59	ga_s2am_ard_3-2-1_50JLS_2021-01-16_final.stac-item
2021-01-16 11:55:03	ga_s2am_ard_3-2-1_50JPR_2021-01-16_final.stac-item
2021-01-16 11:55:07	ga_s2am_ard_3-2-1_50JNR_2021-01-16_final.stac-item
2021-01-16 11:55:10	ga_s2am_ard_3-2-1_50JMR_2021-01-16_final.stac-item
2021-01-16 11:55:13	ga_s2am_ard_3-2-1_50JLR_2021-01-16_final.stac-item
2021-01-16 11:55:16	ga_s2am_ard_3-2-1_50JPQ_2021-01-16_final.stac-item
2021-01-16 11:55:21	ga_s2am_ard_3-2-1_50JNQ_2021-01-16_final.stac-item
2021-01-16 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2021-01-16_final.stac-item
2021-01-16 11:55:27	ga_s2am_ard_3-2-1_50JPP_2021-01-16_final.stac-item
2021-01-16 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2021-01-16_final.stac-item
2021-01-16 11:55:36	ga_s2am_ard_3-2-1_50JNP_2021-01-16_final.stac-item
2021-01-16 11:55:39	ga_s2am_ard_3-2-1_50JMP_2021-01-16_final.stac-item
2021-01-16 11:55:43	ga_s2am_ard_3-2-1_50JLP_2021-01-16_final.stac-item
2021-01-16 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-01-16_final.stac-item
2021-01-16 11:55:50	ga_s2am_ard_3-2-1_50JNN_2021-01-16_final.stac-item
2021-01-16 11:55:54	ga_s2am_ard_3-2-1_50JMN_2021-01-16_final.stac-item
2021-01-16 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-01-16_final.stac-item
2021-01-16 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-01-16_final.stac-item
2021-01-16 11:56:05	ga_s2am_ard_3-2-1_50JNM_2021-01-16_final.stac-item
2021-01-16 11:56:08	ga_s2am_ard_3-2-1_50JMM_2021-01-16_final.stac-item
2021-01-16 11:56:12	ga_s2am_ard_3-2-1_50JLM_2021-01-16_final.stac-item
2021-01-16 11:56:15	ga_s2am_ard_3-2-1_50JKM_2021-01-16_final.stac-item
2021-01-16 11:56:19	ga_s2am_ard_3-2-1_50JNL_2021-01-16_final.stac-item
2021-01-16 11:56:23	ga_s2am_ard_3-2-1_50JML_2021-01-16_final.stac-item
2021-01-16 11:56:26	ga_s2am_ard_3-2-1_50JLL_2021-01-16_final.stac-item
2021-01-16 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-01-16_final.stac-item
2021-01-16 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-01-16_final.stac-item
2021-01-16 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-01-16_final.stac-item
2021-01-16 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-01-16_final.stac-item
2021-01-16 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-01-16_final.stac-item
2021-01-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-01-16_final.stac-item
2021-01-16 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-01-16_final.stac-item
2021-01-16 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-01-16_final
2021-01-16 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-01-16_final
2021-01-17 09:41:24	ga_s2am_ard_3-2-1_56KMG_2021-01-17_final
2021-01-17 09:41:28	ga_s2am_ard_3-2-1_56KLG_2021-01-17_final
2021-01-17 09:41:30	ga_s2am_ard_3-2-1_56KKG_2021-01-17_final
2021-01-17 09:41:33	ga_s2am_ard_3-2-1_55KHB_2021-01-17_final
2021-01-17 09:41:39	ga_s2am_ard_3-2-1_56KMF_2021-01-17_final
2021-01-17 09:41:42	ga_s2am_ard_3-2-1_56KLF_2021-01-17_final.stac-item
2021-01-17 09:41:45	ga_s2am_ard_3-2-1_56KKF_2021-01-17_final.stac-item
2021-01-17 09:41:53	ga_s2am_ard_3-2-1_56KME_2021-01-17_final
2021-01-17 09:41:57	ga_s2am_ard_3-2-1_56KLE_2021-01-17_final.stac-item
2021-01-17 09:42:08	ga_s2am_ard_3-2-1_56KMD_2021-01-17_final
2021-01-17 09:42:11	ga_s2am_ard_3-2-1_56KLD_2021-01-17_final.stac-item
2021-01-17 09:42:58	ga_s2am_ard_3-2-1_56KKA_2021-01-17_final.stac-item
2021-01-17 09:43:39	ga_s2am_ard_3-2-1_56JLT_2021-01-17_final.stac-item
2021-01-17 09:43:42	ga_s2am_ard_3-2-1_56JKT_2021-01-17_final.stac-item
2021-01-17 09:43:53	ga_s2am_ard_3-2-1_56JLS_2021-01-17_final.stac-item
2021-01-17 09:43:57	ga_s2am_ard_3-2-1_56JKS_2021-01-17_final.stac-item
2021-01-17 09:44:06	ga_s2am_ard_3-2-1_56JLR_2021-01-17_final.stac-item
2021-01-17 09:44:11	ga_s2am_ard_3-2-1_56JKR_2021-01-17_final.stac-item
2021-01-17 09:44:17	ga_s2am_ard_3-2-1_56JLQ_2021-01-17_final.stac-item
2021-01-17 09:44:25	ga_s2am_ard_3-2-1_56JKQ_2021-01-17_final.stac-item
2021-01-17 09:44:40	ga_s2am_ard_3-2-1_56JKP_2021-01-17_final.stac-item
2021-01-17 09:44:55	ga_s2am_ard_3-2-1_56JKN_2021-01-17_final.stac-item
2021-01-17 09:45:09	ga_s2am_ard_3-2-1_56JKM_2021-01-17_final.stac-item
2021-01-17 09:45:23	ga_s2am_ard_3-2-1_56JKL_2021-01-17_final.stac-item
2021-01-17 09:45:33	ga_s2am_ard_3-2-1_56HKK_2021-01-17_final.stac-item
2021-01-17 09:45:52	ga_s2am_ard_3-2-1_55HDE_2021-01-17_final.stac-item
2021-01-17 09:46:06	ga_s2am_ard_3-2-1_55HDD_2021-01-17_final.stac-item
2021-01-17 09:46:21	ga_s2am_ard_3-2-1_55HDC_2021-01-17_final.stac-item
2021-01-17 09:46:28	ga_s2am_ard_3-2-1_55HCC_2021-01-17_final.stac-item
2021-01-17 09:46:35	ga_s2am_ard_3-2-1_55HDB_2021-01-17_final.stac-item
2021-01-17 09:46:39	ga_s2am_ard_3-2-1_55HCB_2021-01-17_final.stac-item
2021-01-17 09:46:50	ga_s2am_ard_3-2-1_55HDA_2021-01-17_final.stac-item
2021-01-17 09:46:53	ga_s2am_ard_3-2-1_55HCA_2021-01-17_final.stac-item
2021-01-17 09:47:08	ga_s2am_ard_3-2-1_55HCV_2021-01-17_final.stac-item
2021-01-17 09:47:23	ga_s2am_ard_3-2-1_55HCU_2021-01-17_final.stac-item
2021-01-17 09:47:30	ga_s2am_ard_3-2-1_55HBU_2021-01-17_final.stac-item
2021-01-17 09:47:37	ga_s2am_ard_3-2-1_55HCT_2021-01-17_final.stac-item
2021-01-17 11:26:30	ga_s2am_ard_3-2-1_51HVE_2021-01-17_final.stac-item
2021-01-17 11:26:33	ga_s2am_ard_3-2-1_51HUE_2021-01-17_final.stac-item
2021-01-17 11:26:37	ga_s2am_ard_3-2-1_51HXD_2021-01-17_final.stac-item
2021-01-17 11:26:41	ga_s2am_ard_3-2-1_51HWD_2021-01-17_final.stac-item
2021-01-17 11:26:44	ga_s2am_ard_3-2-1_51HVD_2021-01-17_final.stac-item
2021-01-17 11:26:48	ga_s2am_ard_3-2-1_51HUD_2021-01-17_final.stac-item
2021-01-17 11:26:48	ga_s2am_ard_3-2-1_51HXC_2021-01-17_final
2021-01-17 11:26:55	ga_s2am_ard_3-2-1_51HWC_2021-01-17_final
2021-01-17 11:26:59	ga_s2am_ard_3-2-1_51HVC_2021-01-17_final.stac-item
2021-01-17 11:27:02	ga_s2am_ard_3-2-1_51HUC_2021-01-17_final.stac-item
2021-01-17 11:27:08	ga_s2am_ard_3-2-1_51HTC_2021-01-17_final.stac-item
2021-01-17 11:27:09	ga_s2am_ard_3-2-1_51HWB_2021-01-17_final
2021-01-17 11:27:11	ga_s2am_ard_3-2-1_51HVB_2021-01-17_final
2021-01-17 11:27:13	ga_s2am_ard_3-2-1_51HUB_2021-01-17_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years