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
2023-03-28 11:26:56	ga_s2am_ard_3-2-1_51HVC_2023-03-28_final.stac-item
2023-03-29 10:50:25	ga_s2am_ard_3-2-1_53LMH_2023-03-29_final.stac-item
2023-03-29 10:52:42	ga_s2am_ard_3-2-1_53KKU_2023-03-29_final.stac-item
2023-03-29 10:56:08	ga_s2am_ard_3-2-1_52HGK_2023-03-29_final.stac-item
2023-03-30 10:25:41	ga_s2am_ard_3-2-1_54JUL_2023-03-30_final.stac-item
2023-03-30 10:27:10	ga_s2am_ard_3-2-1_54HTE_2023-03-30_final.stac-item
2023-03-30 12:04:24	ga_s2am_ard_3-2-1_49KHP_2023-03-30_final.stac-item
2023-03-30 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-03-30_final.stac-item
2023-03-30 12:06:12	ga_s2am_ard_3-2-1_50JLL_2023-03-30_final.stac-item
2023-03-31 11:32:10	ga_s2am_ard_3-2-1_51KXB_2023-03-31_final.stac-item
2023-03-31 11:34:38	ga_s2am_ard_3-2-1_51JWM_2023-03-31_final.stac-item
2023-03-31 11:36:32	ga_s2am_ard_3-2-1_50HQK_2023-03-31_final.stac-item
2023-03-31 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-03-31_final.stac-item
2023-04-01 11:00:56	ga_s2am_ard_3-2-1_53LKF_2023-04-01_final.stac-item
2023-04-01 11:01:27	ga_s2am_ard_3-2-1_52LHJ_2023-04-01_final.stac-item
2023-04-01 11:02:41	ga_s2am_ard_3-2-1_52KGD_2023-04-01_final.stac-item
2023-04-01 11:04:31	ga_s2am_ard_3-2-1_52JES_2023-04-01_final.stac-item
2023-04-02 10:30:40	ga_s2am_ard_3-2-1_54LWL_2023-04-02_final.stac-item
2023-04-02 10:30:43	ga_s2am_ard_3-2-1_54LVL_2023-04-02_final.stac-item
2023-04-02 10:30:50	ga_s2am_ard_3-2-1_54LWK_2023-04-02_final.stac-item
2023-04-02 10:30:52	ga_s2am_ard_3-2-1_54LVL_2023-04-02_final.stac-item
2023-04-02 10:30:52	ga_s2am_ard_3-2-1_54LVK_2023-04-02_final.stac-item
2023-04-02 10:30:57	ga_s2am_ard_3-2-1_54LWK_2023-04-02_final.stac-item
2023-04-02 10:30:58	ga_s2am_ard_3-2-1_54LVK_2023-04-02_final.stac-item
2023-04-02 10:31:16	ga_s2am_ard_3-2-1_54LUJ_2023-04-02_final.stac-item
2023-04-02 10:31:30	ga_s2am_ard_3-2-1_54LUH_2023-04-02_final.stac-item
2023-04-02 10:31:31	ga_s2am_ard_3-2-1_54KWG_2023-04-02_final.stac-item
2023-04-02 10:31:41	ga_s2am_ard_3-2-1_54KVG_2023-04-02_final.stac-item
2023-04-02 10:31:45	ga_s2am_ard_3-2-1_54KUG_2023-04-02_final.stac-item
2023-04-02 10:31:48	ga_s2am_ard_3-2-1_54KTG_2023-04-02_final.stac-item
2023-04-02 10:31:49	ga_s2am_ard_3-2-1_53KRB_2023-04-02_final.stac-item
2023-04-02 10:32:02	ga_s2am_ard_3-2-1_54KTF_2023-04-02_final.stac-item
2023-04-02 10:32:03	ga_s2am_ard_3-2-1_53KRA_2023-04-02_final.stac-item
2023-04-02 10:32:10	ga_s2am_ard_3-2-1_53KQA_2023-04-02_final.stac-item
2023-04-02 10:32:24	ga_s2am_ard_3-2-1_54KVD_2023-04-02_final.stac-item
2023-04-02 10:32:28	ga_s2am_ard_3-2-1_54KUD_2023-04-02_final.stac-item
2023-04-02 10:32:35	ga_s2am_ard_3-2-1_54KVC_2023-04-02_final.stac-item
2023-04-02 10:32:43	ga_s2am_ard_3-2-1_54KUC_2023-04-02_final.stac-item
2023-04-02 10:32:47	ga_s2am_ard_3-2-1_53KRT_2023-04-02_final.stac-item
2023-04-02 10:32:50	ga_s2am_ard_3-2-1_53KQT_2023-04-02_final.stac-item
2023-04-02 10:33:01	ga_s2am_ard_3-2-1_54KTB_2023-04-02_final.stac-item
2023-04-02 10:33:01	ga_s2am_ard_3-2-1_53KRS_2023-04-02_final.stac-item
2023-04-02 10:33:05	ga_s2am_ard_3-2-1_53KQS_2023-04-02_final.stac-item
2023-04-02 10:33:11	ga_s2am_ard_3-2-1_53KPS_2023-04-02_final.stac-item
2023-04-02 10:33:15	ga_s2am_ard_3-2-1_54KTA_2023-04-02_final.stac-item
2023-04-02 10:33:16	ga_s2am_ard_3-2-1_53KRR_2023-04-02_final.stac-item
2023-04-02 10:33:23	ga_s2am_ard_3-2-1_53KPR_2023-04-02_final.stac-item
2023-04-02 10:33:40	ga_s2am_ard_3-2-1_54KUU_2023-04-02_final.stac-item
2023-04-02 10:33:48	ga_s2am_ard_3-2-1_53KQP_2023-04-02_final.stac-item
2023-04-02 10:33:59	ga_s2am_ard_3-2-1_54JTT_2023-04-02_final.stac-item
2023-04-02 10:34:03	ga_s2am_ard_3-2-1_53JQN_2023-04-02_final.stac-item
2023-04-02 10:34:06	ga_s2am_ard_3-2-1_53JPN_2023-04-02_final.stac-item
2023-04-02 10:34:13	ga_s2am_ard_3-2-1_53JRM_2023-04-02_final.stac-item
2023-04-02 10:34:17	ga_s2am_ard_3-2-1_53JQM_2023-04-02_final.stac-item
2023-04-02 10:34:21	ga_s2am_ard_3-2-1_53JPM_2023-04-02_final.stac-item
2023-04-02 10:34:24	ga_s2am_ard_3-2-1_53JNM_2023-04-02_final.stac-item
2023-04-02 10:34:38	ga_s2am_ard_3-2-1_53JNL_2023-04-02_final.stac-item
2023-04-02 10:34:43	ga_s2am_ard_3-2-1_54JTQ_2023-04-02_final.stac-item
2023-04-02 10:34:56	ga_s2am_ard_3-2-1_54JTP_2023-04-02_final.stac-item
2023-04-02 10:35:00	ga_s2am_ard_3-2-1_53JQJ_2023-04-02_final.stac-item
2023-04-02 10:35:04	ga_s2am_ard_3-2-1_53JPJ_2023-04-02_final.stac-item
2023-04-02 10:35:14	ga_s2am_ard_3-2-1_53JQH_2023-04-02_final.stac-item
2023-04-02 10:35:19	ga_s2am_ard_3-2-1_53JPH_2023-04-02_final.stac-item
2023-04-02 10:35:22	ga_s2am_ard_3-2-1_53JNH_2023-04-02_final.stac-item
2023-04-02 10:35:33	ga_s2am_ard_3-2-1_53JPG_2023-04-02_final.stac-item
2023-04-02 10:35:37	ga_s2am_ard_3-2-1_53JNG_2023-04-02_final.stac-item
2023-04-02 10:35:40	ga_s2am_ard_3-2-1_53JMG_2023-04-02_final.stac-item
2023-04-02 10:35:55	ga_s2am_ard_3-2-1_53JMF_2023-04-02_final.stac-item
2023-04-02 10:36:06	ga_s2am_ard_3-2-1_53HNE_2023-04-02_final.stac-item
2023-04-02 10:36:16	ga_s2am_ard_3-2-1_53HPD_2023-04-02_final.stac-item
2023-04-02 10:36:20	ga_s2am_ard_3-2-1_53HND_2023-04-02_final.stac-item
2023-04-02 10:36:24	ga_s2am_ard_3-2-1_53HMD_2023-04-02_final.stac-item
2023-04-02 10:36:27	ga_s2am_ard_3-2-1_53HLD_2023-04-02_final.stac-item
2023-04-02 10:36:31	ga_s2am_ard_3-2-1_53HPC_2023-04-02_final.stac-item
2023-04-02 10:36:35	ga_s2am_ard_3-2-1_53HNC_2023-04-02_final.stac-item
2023-04-02 10:36:38	ga_s2am_ard_3-2-1_53HMC_2023-04-02_final.stac-item
2023-04-02 12:13:38	ga_s2am_ard_3-2-1_50KKB_2023-04-02_final.stac-item
2023-04-02 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-04-02_final.stac-item
2023-04-02 12:13:53	ga_s2am_ard_3-2-1_50KKA_2023-04-02_final.stac-item
2023-04-02 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-04-02_final.stac-item
2023-04-02 12:14:20	ga_s2am_ard_3-2-1_49KHP_2023-04-02_final.stac-item
2023-04-02 12:14:30	ga_s2am_ard_3-2-1_49JHN_2023-04-02_final.stac-item
2023-04-02 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-04-02_final.stac-item
2023-04-02 12:15:19	ga_s2am_ard_3-2-1_49JGK_2023-04-02_final.stac-item
2023-04-12 10:30:04	ga_s2am_ard_3-2-1_54LUP_2023-04-12_nrt.stac-item
2023-04-12 10:30:10	ga_s2am_ard_3-2-1_54LUP_2023-04-12_nrt.stac-item
2023-04-12 10:30:11	ga_s2am_ard_3-2-1_54LUN_2023-04-12_nrt.stac-item
2023-04-12 10:30:19	ga_s2am_ard_3-2-1_54LUN_2023-04-12_nrt.stac-item
2023-04-12 10:30:33	ga_s2am_ard_3-2-1_54LUM_2023-04-12_nrt.stac-item
2023-04-12 10:30:48	ga_s2am_ard_3-2-1_54LUL_2023-04-12_nrt.stac-item
2023-04-12 10:31:02	ga_s2am_ard_3-2-1_54LUK_2023-04-12_nrt.stac-item
2023-04-12 10:36:42	ga_s2am_ard_3-2-1_53HLC_2023-04-12_nrt.stac-item
2023-04-12 10:36:57	ga_s2am_ard_3-2-1_53HLB_2023-04-12_nrt.stac-item
2023-04-12 10:37:07	ga_s2am_ard_3-2-1_53HLA_2023-04-12_nrt.stac-item
2023-04-12 10:37:09	ga_s2am_ard_3-2-1_53HNV_2023-04-12_nrt.stac-item
2023-04-12 12:10:29	ga_s2am_ard_3-2-1_50LNP_2023-04-12_nrt.stac-item
2023-04-12 12:13:29	ga_s2am_ard_3-2-1_50KKC_2023-04-12_nrt.stac-item
2023-04-12 12:13:30	ga_s2am_ard_3-2-1_49KHT_2023-04-12_nrt.stac-item
2023-04-12 12:13:34	ga_s2am_ard_3-2-1_49KFT_2023-04-12_nrt.stac-item
2023-04-12 12:13:44	ga_s2am_ard_3-2-1_49KGS_2023-04-12_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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