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
2023-09-13 10:14:52	ga_s2am_ard_3-2-1_54JVQ_2023-09-13_final.stac-item
2023-09-13 10:15:23	ga_s2am_ard_3-2-1_54JUN_2023-09-13_final.stac-item
2023-09-13 10:15:37	ga_s2am_ard_3-2-1_54JUM_2023-09-13_final.stac-item
2023-09-13 10:15:49	ga_s2am_ard_3-2-1_54JVL_2023-09-13_final.stac-item
2023-09-13 10:15:59	ga_s2am_ard_3-2-1_54HWK_2023-09-13_final.stac-item
2023-09-13 10:16:25	ga_s2am_ard_3-2-1_54HTJ_2023-09-13_final.stac-item
2023-09-13 10:16:47	ga_s2am_ard_3-2-1_54HVG_2023-09-13_final.stac-item
2023-09-13 10:16:50	ga_s2am_ard_3-2-1_54HUG_2023-09-13_final.stac-item
2023-09-13 10:17:01	ga_s2am_ard_3-2-1_54HVF_2023-09-13_final.stac-item
2023-09-13 10:17:08	ga_s2am_ard_3-2-1_54HTF_2023-09-13_final.stac-item
2023-09-13 10:17:22	ga_s2am_ard_3-2-1_54HTE_2023-09-13_final.stac-item
2023-09-13 10:17:24	ga_s2am_ard_3-2-1_53HQV_2023-09-13_final.stac-item
2023-09-13 11:51:31	ga_s2am_ard_3-2-1_51LUE_2023-09-13_final.stac-item
2023-09-13 11:52:24	ga_s2am_ard_3-2-1_50KQG_2023-09-13_final.stac-item
2023-09-13 11:52:58	ga_s2am_ard_3-2-1_51KTU_2023-09-13_final.stac-item
2023-09-13 11:53:03	ga_s2am_ard_3-2-1_50KRD_2023-09-13_final.stac-item
2023-09-13 11:53:07	ga_s2am_ard_3-2-1_50KQD_2023-09-13_final.stac-item
2023-09-13 11:53:11	ga_s2am_ard_3-2-1_50KPD_2023-09-13_final.stac-item
2023-09-13 11:53:26	ga_s2am_ard_3-2-1_50KPC_2023-09-13_final.stac-item
2023-09-13 11:53:29	ga_s2am_ard_3-2-1_50KNC_2023-09-13_final.stac-item
2023-09-13 11:53:43	ga_s2am_ard_3-2-1_50KNB_2023-09-13_final.stac-item
2023-09-13 11:54:09	ga_s2am_ard_3-2-1_50KPV_2023-09-13_final.stac-item
2023-09-13 11:54:45	ga_s2am_ard_3-2-1_50JMT_2023-09-13_final.stac-item
2023-09-13 11:55:07	ga_s2am_ard_3-2-1_50JPR_2023-09-13_final.stac-item
2023-09-13 11:55:25	ga_s2am_ard_3-2-1_50JNQ_2023-09-13_final.stac-item
2023-09-13 11:55:39	ga_s2am_ard_3-2-1_50JNP_2023-09-13_final.stac-item
2023-09-13 11:55:58	ga_s2am_ard_3-2-1_50JMN_2023-09-13_final.stac-item
2023-09-13 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-09-13_final.stac-item
2023-09-13 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2023-09-13_final.stac-item
2023-09-13 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2023-09-13_final.stac-item
2023-09-13 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-09-13_final.stac-item
2023-09-14 11:21:30	ga_s2am_ard_3-2-1_51LZE_2023-09-14_final.stac-item
2023-09-14 11:21:36	ga_s2am_ard_3-2-1_52LDJ_2023-09-14_final.stac-item
2023-09-14 11:21:43	ga_s2am_ard_3-2-1_52LBJ_2023-09-14_final.stac-item
2023-09-14 11:21:58	ga_s2am_ard_3-2-1_52LBH_2023-09-14_final.stac-item
2023-09-14 11:22:03	ga_s2am_ard_3-2-1_51LYC_2023-09-14_final.stac-item
2023-09-14 11:22:42	ga_s2am_ard_3-2-1_51KZV_2023-09-14_final.stac-item
2023-09-14 11:23:00	ga_s2am_ard_3-2-1_51KYU_2023-09-14_final.stac-item
2023-09-14 11:23:04	ga_s2am_ard_3-2-1_51KXU_2023-09-14_final.stac-item
2023-09-14 11:23:10	ga_s2am_ard_3-2-1_52KBC_2023-09-14_final.stac-item
2023-09-14 11:23:25	ga_s2am_ard_3-2-1_52KBB_2023-09-14_final.stac-item
2023-09-14 11:23:25	ga_s2am_ard_3-2-1_51KZS_2023-09-14_final.stac-item
2023-09-14 11:23:43	ga_s2am_ard_3-2-1_51KYR_2023-09-14_final.stac-item
2023-09-14 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-09-14_final.stac-item
2023-09-14 11:24:06	ga_s2am_ard_3-2-1_51KWQ_2023-09-14_final.stac-item
2023-09-14 11:24:07	ga_s2am_ard_3-2-1_52KBU_2023-09-14_final.stac-item
2023-09-14 11:24:09	ga_s2am_ard_3-2-1_51KYP_2023-09-14_final.stac-item
2023-09-14 11:24:12	ga_s2am_ard_3-2-1_51KWP_2023-09-14_final.stac-item
2023-09-14 11:24:14	ga_s2am_ard_3-2-1_52KBU_2023-09-14_final.stac-item
2023-09-14 11:24:19	ga_s2am_ard_3-2-1_51KWP_2023-09-14_final.stac-item
2023-09-14 11:24:27	ga_s2am_ard_3-2-1_51JYN_2023-09-14_final.stac-item
2023-09-14 11:24:31	ga_s2am_ard_3-2-1_51JXN_2023-09-14_final.stac-item
2023-09-14 11:24:36	ga_s2am_ard_3-2-1_51JZM_2023-09-14_final.stac-item
2023-09-14 11:24:36	ga_s2am_ard_3-2-1_52JBS_2023-09-14_final.stac-item
2023-09-14 11:25:17	ga_s2am_ard_3-2-1_51JWK_2023-09-14_final.stac-item
2023-09-14 11:25:21	ga_s2am_ard_3-2-1_51JVK_2023-09-14_final.stac-item
2023-09-14 11:25:25	ga_s2am_ard_3-2-1_51JYJ_2023-09-14_final.stac-item
2023-09-14 11:25:32	ga_s2am_ard_3-2-1_51JWJ_2023-09-14_final.stac-item
2023-09-14 11:25:43	ga_s2am_ard_3-2-1_51JXH_2023-09-14_final.stac-item
2023-09-14 11:26:33	ga_s2am_ard_3-2-1_51HVE_2023-09-14_final.stac-item
2023-09-14 11:27:06	ga_s2am_ard_3-2-1_51HUC_2023-09-14_final.stac-item
2023-09-14 11:27:11	ga_s2am_ard_3-2-1_51HTC_2023-09-14_final.stac-item
2023-09-23 11:50:35	ga_s2am_ard_3-2-1_51LTJ_2023-09-23_nrt.stac-item
2023-09-23 11:50:49	ga_s2am_ard_3-2-1_51LTH_2023-09-23_nrt.stac-item
2023-09-23 11:51:04	ga_s2am_ard_3-2-1_51LTG_2023-09-23_nrt.stac-item
2023-09-23 11:51:09	ga_s2am_ard_3-2-1_50LQM_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 11:51:33	ga_s2am_ard_3-2-1_51LTE_2023-09-23_nrt.stac-item
2023-09-23 11:51:38	ga_s2am_ard_3-2-1_50LQK_2023-09-23_nrt.stac-item
2023-09-23 11:51:41	ga_s2am_ard_3-2-1_50LPK_2023-09-23_nrt.stac-item
2023-09-23 11:51:47	ga_s2am_ard_3-2-1_51LTD_2023-09-23_nrt.stac-item
2023-09-23 11:51:52	ga_s2am_ard_3-2-1_50LQJ_2023-09-23_nrt.stac-item
2023-09-23 11:51:55	ga_s2am_ard_3-2-1_50LPJ_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 11:52:10	ga_s2am_ard_3-2-1_50LPH_2023-09-23_nrt.stac-item
2023-09-23 11:52:17	ga_s2am_ard_3-2-1_51KTB_2023-09-23_nrt.stac-item
2023-09-23 11:52:17	ga_s2am_ard_3-2-1_50KRG_2023-09-23_nrt.stac-item
2023-09-23 11:52:30	ga_s2am_ard_3-2-1_50KNG_2023-09-23_nrt.stac-item
2023-09-23 11:52:32	ga_s2am_ard_3-2-1_50KRF_2023-09-23_nrt.stac-item
2023-09-23 11:52:43	ga_s2am_ard_3-2-1_50KNF_2023-09-23_nrt.stac-item
2023-09-23 11:52:44	ga_s2am_ard_3-2-1_51KTV_2023-09-23_nrt.stac-item
2023-09-23 11:52:47	ga_s2am_ard_3-2-1_50KRE_2023-09-23_nrt.stac-item
2023-09-23 11:52:54	ga_s2am_ard_3-2-1_50KPE_2023-09-23_nrt.stac-item
2023-09-23 11:52:57	ga_s2am_ard_3-2-1_50KNE_2023-09-23_nrt.stac-item
2023-09-23 11:53:12	ga_s2am_ard_3-2-1_50KND_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 11:57:02	ga_s2am_ard_3-2-1_49HGD_2023-09-23_nrt.stac-item
2023-09-23 11:57:16	ga_s2am_ard_3-2-1_49HGC_2023-09-23_nrt.stac-item
2023-09-23 11:57:24	ga_s2am_ard_3-2-1_49HFC_2023-09-23_nrt.stac-item
2023-09-23 11:57:26	ga_s2am_ard_3-2-1_50HKG_2023-09-23_nrt.stac-item
2023-09-23 11:57:27	ga_s2am_ard_3-2-1_49HGB_2023-09-23_nrt.stac-item
2023-09-23 11:57:29	ga_s2am_ard_3-2-1_49HFB_2023-09-23_nrt.stac-item
2023-09-23 11:57:29	ga_s2am_ard_3-2-1_50HMF_2023-09-23_nrt.stac-item
2023-09-24 09:48:44	ga_s2am_ard_3-2-1_54GXU_2023-09-24_nrt.stac-item
2023-09-24 09:49:00	ga_s2am_ard_3-2-1_54GXT_2023-09-24_nrt.stac-item
2023-09-24 09:49:04	ga_s2am_ard_3-2-1_54GXS_2023-09-24_nrt.stac-item
2023-09-24 11:20:36	ga_s2am_ard_3-2-1_52LDN_2023-09-24_nrt.stac-item
2023-09-24 11:20:51	ga_s2am_ard_3-2-1_52LDM_2023-09-24_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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