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
2022-09-02 11:31:30	ga_s2am_ard_3-2-1_52LBK_2022-09-02_final.stac-item
2022-09-02 11:31:41	ga_s2am_ard_3-2-1_52LBJ_2022-09-02_final.stac-item
2022-09-02 11:31:47	ga_s2am_ard_3-2-1_51LZD_2022-09-02_final.stac-item
2022-09-02 11:32:09	ga_s2am_ard_3-2-1_51LXC_2022-09-02_final.stac-item
2022-09-02 11:32:12	ga_s2am_ard_3-2-1_51LWC_2022-09-02_final.stac-item
2022-09-02 11:32:27	ga_s2am_ard_3-2-1_51KWB_2022-09-02_final.stac-item
2022-09-02 11:32:38	ga_s2am_ard_3-2-1_51KXA_2022-09-02_final.stac-item
2022-09-02 11:32:44	ga_s2am_ard_3-2-1_51KVA_2022-09-02_final.stac-item
2022-09-02 11:32:56	ga_s2am_ard_3-2-1_51KWV_2022-09-02_final.stac-item
2022-09-02 11:36:22	ga_s2am_ard_3-2-1_51JVF_2022-09-02_final.stac-item
2022-09-02 11:37:00	ga_s2am_ard_3-2-1_50HQJ_2022-09-02_final.stac-item
2022-09-04 10:33:14	ga_s2am_ard_3-2-1_53KRS_2022-09-04_final.stac-item
2022-09-04 10:33:29	ga_s2am_ard_3-2-1_53KRR_2022-09-04_final.stac-item
2022-09-05 10:07:15	ga_s2am_ard_3-2-1_54HYE_2022-09-05_final.stac-item
2022-09-05 11:42:33	ga_s2am_ard_3-2-1_51KWA_2022-09-05_final.stac-item
2022-09-05 11:42:57	ga_s2am_ard_3-2-1_51KUV_2022-09-05_final.stac-item
2022-09-05 11:43:08	ga_s2am_ard_3-2-1_51KVU_2022-09-05_final.stac-item
2022-09-05 11:43:12	ga_s2am_ard_3-2-1_51KUU_2022-09-05_final.stac-item
2022-09-05 11:43:15	ga_s2am_ard_3-2-1_51KTU_2022-09-05_final.stac-item
2022-09-05 11:46:42	ga_s2am_ard_3-2-1_50HQK_2022-09-05_final.stac-item
2022-09-05 11:47:00	ga_s2am_ard_3-2-1_50HPJ_2022-09-05_final.stac-item
2022-09-07 10:42:58	ga_s2am_ard_3-2-1_53KQT_2022-09-07_final.stac-item
2022-09-07 10:43:06	ga_s2am_ard_3-2-1_53KQT_2022-09-07_final.stac-item
2022-09-07 10:43:06	ga_s2am_ard_3-2-1_53KQS_2022-09-07_final.stac-item
2022-09-07 10:43:07	ga_s2am_ard_3-2-1_53KPT_2022-09-07_final.stac-item
2022-09-08 10:17:03	ga_s2am_ard_3-2-1_54HWF_2022-09-08_final.stac-item
2022-09-08 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-09-08_final.stac-item
2022-09-09 11:21:35	ga_s2am_ard_3-2-1_52LBK_2022-09-09_final.stac-item
2022-09-11 10:23:14	ga_s2am_ard_3-2-1_54KUB_2022-09-11_final.stac-item
2022-09-12 09:57:18	ga_s2am_ard_3-2-1_54HYE_2022-09-12_final.stac-item
2022-09-12 09:57:51	ga_s2am_ard_3-2-1_54HXC_2022-09-12_final.stac-item
2022-09-12 11:31:35	ga_s2am_ard_3-2-1_51LYE_2022-09-12_final.stac-item
2022-09-12 11:31:46	ga_s2am_ard_3-2-1_51LZD_2022-09-12_final.stac-item
2022-09-12 11:32:07	ga_s2am_ard_3-2-1_51LXC_2022-09-12_final.stac-item
2022-09-12 11:32:39	ga_s2am_ard_3-2-1_51KWA_2022-09-12_final.stac-item
2022-09-12 11:32:43	ga_s2am_ard_3-2-1_51KVA_2022-09-12_final.stac-item
2022-09-12 11:32:57	ga_s2am_ard_3-2-1_51KVV_2022-09-12_final.stac-item
2022-09-12 11:33:08	ga_s2am_ard_3-2-1_51KWU_2022-09-12_final.stac-item
2022-09-12 11:36:37	ga_s2am_ard_3-2-1_50JPL_2022-09-12_final.stac-item
2022-09-13 11:00:55	ga_s2am_ard_3-2-1_52LHM_2022-09-13_final.stac-item
2022-09-14 10:32:53	ga_s2am_ard_3-2-1_53KRT_2022-09-14_final.stac-item
2022-09-14 10:33:00	ga_s2am_ard_3-2-1_53KRT_2022-09-14_final.stac-item
2022-09-14 10:33:12	ga_s2am_ard_3-2-1_53KRS_2022-09-14_final.stac-item
2022-09-14 10:33:27	ga_s2am_ard_3-2-1_53KRR_2022-09-14_final.stac-item
2022-09-14 10:34:14	ga_s2am_ard_3-2-1_53JQN_2022-09-14_final.stac-item
2022-09-15 10:07:07	ga_s2am_ard_3-2-1_54HWF_2022-09-15_final.stac-item
2022-09-15 10:07:13	ga_s2am_ard_3-2-1_54HYE_2022-09-15_final.stac-item
2022-09-15 11:42:05	ga_s2am_ard_3-2-1_51LWC_2022-09-15_final.stac-item
2022-09-15 11:42:31	ga_s2am_ard_3-2-1_51KWA_2022-09-15_final.stac-item
2022-09-15 11:42:41	ga_s2am_ard_3-2-1_51KUA_2022-09-15_final.stac-item
2022-09-15 11:42:55	ga_s2am_ard_3-2-1_51KUV_2022-09-15_final.stac-item
2022-09-15 11:43:10	ga_s2am_ard_3-2-1_51KUU_2022-09-15_final.stac-item
2022-09-15 11:47:16	ga_s2am_ard_3-2-1_50HNH_2022-09-15_final.stac-item
2022-09-16 11:10:38	ga_s2am_ard_3-2-1_52LGN_2022-09-16_final.stac-item
2022-09-16 11:11:40	ga_s2am_ard_3-2-1_52LFJ_2022-09-16_final.stac-item
2022-09-17 10:42:57	ga_s2am_ard_3-2-1_53KPT_2022-09-17_final.stac-item
2022-09-17 10:43:03	ga_s2am_ard_3-2-1_53KQT_2022-09-17_final.stac-item
2022-09-17 10:43:17	ga_s2am_ard_3-2-1_53KNS_2022-09-17_final.stac-item
2022-09-17 10:44:12	ga_s2am_ard_3-2-1_53JPN_2022-09-17_final.stac-item
2022-09-17 10:44:15	ga_s2am_ard_3-2-1_53JNN_2022-09-17_final.stac-item
2022-09-18 10:17:01	ga_s2am_ard_3-2-1_54HWF_2022-09-18_final.stac-item
2022-09-18 11:53:02	ga_s2am_ard_3-2-1_51KTU_2022-09-18_final.stac-item
2022-09-19 11:21:32	ga_s2am_ard_3-2-1_52LBK_2022-09-19_final.stac-item
2022-09-19 11:26:23	ga_s2am_ard_3-2-1_51JVF_2022-09-19_final.stac-item
2022-09-19 11:26:56	ga_s2am_ard_3-2-1_51HUD_2022-09-19_final.stac-item
2022-09-22 09:57:00	ga_s2am_ard_3-2-1_54HYF_2022-09-22_final.stac-item
2022-09-22 11:31:25	ga_s2am_ard_3-2-1_52LBK_2022-09-22_final.stac-item
2022-09-22 11:31:31	ga_s2am_ard_3-2-1_51LYE_2022-09-22_final.stac-item
2022-09-22 11:31:36	ga_s2am_ard_3-2-1_52LBJ_2022-09-22_final.stac-item
2022-09-22 11:31:42	ga_s2am_ard_3-2-1_51LZD_2022-09-22_final.stac-item
2022-09-22 11:32:07	ga_s2am_ard_3-2-1_51LWC_2022-09-22_final.stac-item
2022-09-22 11:32:22	ga_s2am_ard_3-2-1_51KWB_2022-09-22_final.stac-item
2022-09-22 11:32:33	ga_s2am_ard_3-2-1_51KXA_2022-09-22_final.stac-item
2022-09-22 11:32:54	ga_s2am_ard_3-2-1_51KVV_2022-09-22_final.stac-item
2022-09-22 11:36:17	ga_s2am_ard_3-2-1_51JVF_2022-09-22_final.stac-item
2022-09-23 11:00:52	ga_s2am_ard_3-2-1_52LHM_2022-09-23_final.stac-item
2022-09-23 11:01:24	ga_s2am_ard_3-2-1_52LGK_2022-09-23_final.stac-item
2022-09-24 10:32:50	ga_s2am_ard_3-2-1_53KRT_2022-09-24_final.stac-item
2022-09-24 10:33:13	ga_s2am_ard_3-2-1_53KQS_2022-09-24_final.stac-item
2022-09-24 10:34:11	ga_s2am_ard_3-2-1_53JQN_2022-09-24_final.stac-item
2022-09-25 10:06:57	ga_s2am_ard_3-2-1_54HYF_2022-09-25_final.stac-item
2022-09-25 10:07:04	ga_s2am_ard_3-2-1_54HWF_2022-09-25_final.stac-item
2022-09-25 11:42:02	ga_s2am_ard_3-2-1_51LWC_2022-09-25_final.stac-item
2022-09-25 11:42:16	ga_s2am_ard_3-2-1_51KWB_2022-09-25_final.stac-item
2022-09-25 11:42:28	ga_s2am_ard_3-2-1_51KWA_2022-09-25_final.stac-item
2022-09-25 11:42:38	ga_s2am_ard_3-2-1_51KUA_2022-09-25_final.stac-item
2022-09-27 10:42:54	ga_s2am_ard_3-2-1_53KQT_2022-09-27_final.stac-item
2022-09-27 10:42:56	ga_s2am_ard_3-2-1_53KPT_2022-09-27_final.stac-item
2022-09-27 10:42:58	ga_s2am_ard_3-2-1_53KNT_2022-09-27_final.stac-item
2022-09-27 10:43:02	ga_s2am_ard_3-2-1_53KQS_2022-09-27_final.stac-item
2022-09-29 11:21:31	ga_s2am_ard_3-2-1_52LBK_2022-09-29_final.stac-item
2022-09-29 11:21:39	ga_s2am_ard_3-2-1_52LDJ_2022-09-29_final.stac-item
2022-09-29 11:21:46	ga_s2am_ard_3-2-1_52LBJ_2022-09-29_final.stac-item
2022-09-29 11:21:47	ga_s2am_ard_3-2-1_51LZD_2022-09-29_final.stac-item
2022-09-30 10:52:52	ga_s2am_ard_3-2-1_53KNT_2022-09-30_final.stac-item
2022-11-18 11:22:02	ga_s2am_ard_3-2-1_52KDG_2022-11-18_final.stac-item
2022-11-18 11:22:06	ga_s2am_ard_3-2-1_52KCG_2022-11-18_final.stac-item
2022-11-18 11:22:25	ga_s2am_ard_3-2-1_51KZA_2022-11-18_final.stac-item
2022-11-18 11:23:15	ga_s2am_ard_3-2-1_51KXT_2022-11-18_final.stac-item
2022-11-18 11:23:51	ga_s2am_ard_3-2-1_51KZQ_2022-11-18_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