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
2023-02-11 10:32:36	ga_s2am_ard_3-2-1_54KUD_2023-02-11_final.stac-item
2023-02-11 10:33:44	ga_s2am_ard_3-2-1_53KRP_2023-02-11_final.stac-item
2023-02-11 10:35:29	ga_s2am_ard_3-2-1_53JQG_2023-02-11_final.stac-item
2023-02-12 10:03:54	ga_s2am_ard_3-2-1_54JYT_2023-02-12_final.stac-item
2023-02-12 10:05:07	ga_s2am_ard_3-2-1_54JYN_2023-02-12_final.stac-item
2023-02-12 11:41:53	ga_s2am_ard_3-2-1_51LWC_2023-02-12_final.stac-item
2023-02-12 11:44:00	ga_s2am_ard_3-2-1_50KRV_2023-02-12_final.stac-item
2023-02-12 11:44:47	ga_s2am_ard_3-2-1_50JQS_2023-02-12_final.stac-item
2023-02-13 09:37:56	ga_s2am_ard_3-2-1_55GFR_2023-02-13_final.stac-item
2023-02-13 09:38:03	ga_s2am_ard_3-2-1_55GDR_2023-02-13_final.stac-item
2023-02-13 11:15:23	ga_s2am_ard_3-2-1_51JYJ_2023-02-13_final.stac-item
2023-02-13 11:16:41	ga_s2am_ard_3-2-1_51HXD_2023-02-13_final.stac-item
2023-02-14 10:42:38	ga_s2am_ard_3-2-1_53KMU_2023-02-14_final.stac-item
2023-02-14 10:43:56	ga_s2am_ard_3-2-1_53KLP_2023-02-14_final.stac-item
2023-02-14 10:44:14	ga_s2am_ard_3-2-1_53JPM_2023-02-14_final.stac-item
2023-02-14 10:44:25	ga_s2am_ard_3-2-1_53JLM_2023-02-14_final.stac-item
2023-02-15 10:11:45	ga_s2am_ard_3-2-1_55KCA_2023-02-15_final.stac-item
2023-02-15 10:14:54	ga_s2am_ard_3-2-1_54JWP_2023-02-15_final.stac-item
2023-02-15 11:53:47	ga_s2am_ard_3-2-1_50KPA_2023-02-15_final.stac-item
2023-02-15 11:56:23	ga_s2am_ard_3-2-1_50JLL_2023-02-15_final.stac-item
2023-02-15 11:56:34	ga_s2am_ard_3-2-1_50HMK_2023-02-15_final.stac-item
2023-02-16 09:43:09	ga_s2am_ard_3-2-1_55KHQ_2023-02-16_final.stac-item
2023-02-16 11:21:56	ga_s2am_ard_3-2-1_51LYC_2023-02-16_final.stac-item
2023-02-16 11:24:01	ga_s2am_ard_3-2-1_52KBU_2023-02-16_final.stac-item
2023-02-17 10:50:44	ga_s2am_ard_3-2-1_53LLG_2023-02-17_final.stac-item
2023-02-17 10:52:41	ga_s2am_ard_3-2-1_53KKU_2023-02-17_final.stac-item
2023-02-17 10:53:18	ga_s2am_ard_3-2-1_53KMR_2023-02-17_final.stac-item
2023-02-18 10:22:31	ga_s2am_ard_3-2-1_54KUD_2023-02-18_final.stac-item
2023-02-18 12:03:55	ga_s2am_ard_3-2-1_50KKA_2023-02-18_final.stac-item
2023-02-18 12:04:25	ga_s2am_ard_3-2-1_50KKU_2023-02-18_final.stac-item
2023-02-19 09:54:20	ga_s2am_ard_3-2-1_55JCL_2023-02-19_final.stac-item
2023-02-19 09:56:02	ga_s2am_ard_3-2-1_55HCD_2023-02-19_final.stac-item
2023-02-19 11:32:55	ga_s2am_ard_3-2-1_51KWU_2023-02-19_final.stac-item
2023-02-19 11:33:39	ga_s2am_ard_3-2-1_51KWR_2023-02-19_final.stac-item
2023-02-20 11:02:37	ga_s2am_ard_3-2-1_53KKU_2023-02-20_final.stac-item
2023-02-20 11:04:08	ga_s2am_ard_3-2-1_52JGT_2023-02-20_final.stac-item
2023-02-21 10:32:08	ga_s2am_ard_3-2-1_53KQA_2023-02-21_final.stac-item
2023-02-21 10:35:20	ga_s2am_ard_3-2-1_53JNH_2023-02-21_final.stac-item
2023-02-21 12:14:05	ga_s2am_ard_3-2-1_50KKV_2023-02-21_final.stac-item
2023-02-21 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2023-02-21_final.stac-item
2023-02-22 11:43:01	ga_s2am_ard_3-2-1_50KRD_2023-02-22_final.stac-item
2023-02-22 11:44:28	ga_s2am_ard_3-2-1_51JTN_2023-02-22_final.stac-item
2023-02-22 11:45:54	ga_s2am_ard_3-2-1_51JTG_2023-02-22_final.stac-item
2023-02-22 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-02-22_final.stac-item
2023-03-10 12:00:28	ga_s2am_ard_3-2-1_50LQP_2023-03-10_nrt.stac-item
2023-03-10 12:00:32	ga_s2am_ard_3-2-1_50LPP_2023-03-10_nrt.stac-item
2023-03-10 12:00:35	ga_s2am_ard_3-2-1_50LNP_2023-03-10_nrt.stac-item
2023-03-10 12:00:49	ga_s2am_ard_3-2-1_50LNN_2023-03-10_nrt.stac-item
2023-03-10 12:00:52	ga_s2am_ard_3-2-1_50LMN_2023-03-10_nrt.stac-item
2023-03-10 12:01:01	ga_s2am_ard_3-2-1_50LPM_2023-03-10_nrt.stac-item
2023-03-10 12:01:04	ga_s2am_ard_3-2-1_50LNM_2023-03-10_nrt.stac-item
2023-03-10 12:01:07	ga_s2am_ard_3-2-1_50LMM_2023-03-10_nrt.stac-item
2023-03-10 12:01:22	ga_s2am_ard_3-2-1_50LML_2023-03-10_nrt.stac-item
2023-03-10 12:01:29	ga_s2am_ard_3-2-1_50LPK_2023-03-10_nrt.stac-item
2023-03-10 12:01:33	ga_s2am_ard_3-2-1_50LMK_2023-03-10_nrt.stac-item
2023-03-10 12:01:37	ga_s2am_ard_3-2-1_50LLK_2023-03-10_nrt.stac-item
2023-03-10 12:01:37	ga_s2am_ard_3-2-1_50LPJ_2023-03-10_nrt.stac-item
2023-03-10 12:02:51	ga_s2am_ard_3-2-1_50KNE_2023-03-10_nrt.stac-item
2023-03-10 12:02:53	ga_s2am_ard_3-2-1_50KME_2023-03-10_nrt.stac-item
2023-03-10 12:02:54	ga_s2am_ard_3-2-1_50KLE_2023-03-10_nrt.stac-item
2023-03-10 12:03:00	ga_s2am_ard_3-2-1_50KND_2023-03-10_nrt.stac-item
2023-03-10 12:03:03	ga_s2am_ard_3-2-1_50KMD_2023-03-10_nrt.stac-item
2023-03-10 12:03:07	ga_s2am_ard_3-2-1_50KLD_2023-03-10_nrt.stac-item
2023-03-10 12:03:09	ga_s2am_ard_3-2-1_50KKD_2023-03-10_nrt.stac-item
2023-03-10 12:03:12	ga_s2am_ard_3-2-1_49KHU_2023-03-10_nrt.stac-item
2023-03-10 12:05:27	ga_s2am_ard_3-2-1_49JFK_2023-03-10_nrt.stac-item
2023-03-10 12:05:42	ga_s2am_ard_3-2-1_49JFJ_2023-03-10_nrt.stac-item
2023-03-10 12:05:57	ga_s2am_ard_3-2-1_49JFH_2023-03-10_nrt.stac-item
2023-03-10 12:06:07	ga_s2am_ard_3-2-1_49JGG_2023-03-10_nrt.stac-item
2023-03-10 12:06:11	ga_s2am_ard_3-2-1_49JFG_2023-03-10_nrt.stac-item
2023-03-10 12:06:19	ga_s2am_ard_3-2-1_49JGF_2023-03-10_nrt.stac-item
2023-03-10 12:06:20	ga_s2am_ard_3-2-1_49JFF_2023-03-10_nrt.stac-item
2023-03-11 09:49:45	ga_s2am_ard_3-2-1_55LGJ_2023-03-11_nrt.stac-item
2023-03-11 09:49:53	ga_s2am_ard_3-2-1_56LKN_2023-03-11_nrt.stac-item
2023-03-11 09:49:56	ga_s2am_ard_3-2-1_55LGH_2023-03-11_nrt.stac-item
2023-03-11 09:50:01	ga_s2am_ard_3-2-1_56LKM_2023-03-11_nrt.stac-item
2023-03-11 09:50:57	ga_s2am_ard_3-2-1_56LKJ_2023-03-11_nrt.stac-item
2023-03-11 09:50:59	ga_s2am_ard_3-2-1_55LGD_2023-03-11_nrt.stac-item
2023-03-11 09:51:50	ga_s2am_ard_3-2-1_56KKE_2023-03-11_nrt.stac-item
2023-03-11 09:52:03	ga_s2am_ard_3-2-1_56KKD_2023-03-11_nrt.stac-item
2023-03-11 09:57:54	ga_s2am_ard_3-2-1_54HWB_2023-03-11_nrt.stac-item
2023-03-11 09:58:05	ga_s2am_ard_3-2-1_54GXA_2023-03-11_nrt.stac-item
2023-03-11 09:58:08	ga_s2am_ard_3-2-1_54GWA_2023-03-11_nrt.stac-item
2023-03-11 09:58:19	ga_s2am_ard_3-2-1_54GXV_2023-03-11_nrt.stac-item
2023-03-11 09:58:21	ga_s2am_ard_3-2-1_54GWV_2023-03-11_nrt.stac-item
2023-03-11 09:58:26	ga_s2am_ard_3-2-1_54GXU_2023-03-11_nrt.stac-item
2023-03-11 09:58:27	ga_s2am_ard_3-2-1_54GVV_2023-03-11_nrt.stac-item
2023-03-11 09:58:29	ga_s2am_ard_3-2-1_54GWU_2023-03-11_nrt.stac-item
2023-03-11 11:30:09	ga_s2am_ard_3-2-1_52LCP_2023-03-11_nrt.stac-item
2023-03-11 11:30:16	ga_s2am_ard_3-2-1_52LBP_2023-03-11_nrt.stac-item
2023-03-11 11:30:22	ga_s2am_ard_3-2-1_51LYJ_2023-03-11_nrt.stac-item
2023-03-11 11:30:25	ga_s2am_ard_3-2-1_51LXJ_2023-03-11_nrt.stac-item
2023-03-11 11:30:39	ga_s2am_ard_3-2-1_51LXH_2023-03-11_nrt.stac-item
2023-03-11 11:30:45	ga_s2am_ard_3-2-1_52LBM_2023-03-11_nrt.stac-item
2023-03-11 11:30:51	ga_s2am_ard_3-2-1_51LYG_2023-03-11_nrt.stac-item
2023-03-11 11:37:20	ga_s2am_ard_3-2-1_51HUA_2023-03-11_nrt.stac-item
2023-03-11 11:37:22	ga_s2am_ard_3-2-1_51HTA_2023-03-11_nrt.stac-item
2023-03-11 11:37:23	ga_s2am_ard_3-2-1_50HQF_2023-03-11_nrt.stac-item
2023-03-11 11:37:25	ga_s2am_ard_3-2-1_50HPF_2023-03-11_nrt.stac-item
2023-03-11 11:37:27	ga_s2am_ard_3-2-1_50HPF_2023-03-11_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

Other products

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