Author: yuichiro

Fraction of Green Vegetation Cover (300m) is based on the data from Copernicus project in Europe. This page purposes to explain detailed information for the downloadable data.

Example Dataset

Please download a free example dataset and use it in you app or analysis.

URL Expiration

All downloadable URLs expire in 90 days after your order.

Temporal Resolution and Update

The temporal resolution is 10-day. Also, generally, the latest data is usually updated within 12-24 hours after the latest Copernicus data is published.

Data Format

The default format is csv where no single/double quotation marks are used in the file. The geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Example

Example on Spreadsheet

Column Names / Property Names

Names	Description	Physical unit / classes	Physical min	Physical max	Digital max	Scaling	Offset
time	The start date of the 10-daily period.	YYYY-MM-DD hh:mm:ss	–	–	–	–	–
lat	Latitude	Decimal	-90	90	–	–	–
lon	Longitude	Decimal	-180	180	–	–	–
FCOVER	Fraction of Vegetation Cover (255 for missing)	–	0	1.0	250	1/250	0
LENGTH_BEFORE	Length in days of semi-period before D (255 for missing)	–	15	210	210	1	0
LENGTH_AFTER	Length in days of semi-period after D (255 for missing)	–	0	60	60	1	0
NOBS	Number of available valid instantaneous estimates in the compositing window	–	0	60	40	1	0
RMSE	RMSE on FCOVER (255 for missing)	–	0	1.0	250	1/250	0
QFLAG	Bitwise quality flag (255 for missing)	–	–	–	–	–	–

Fraction of Green Vegetation Cover (300m)

For further details, concerns such as satellite sensors and data accuracy, please refer the Copernicus pages.

Fraction of Green Vegetation Cover 2014-present (raster 300 m), global, 10-daily – version 1

Global Horizontal Irradiation (250m) is the data “developed by SOLARGIS (https://solargis.com) and provided by the Global Solar Atlas (GSA).” This page purposes to explain detailed information for the downloadable data.

Example Dataset

Please download a free example dataset and use it in you app or analysis.

URL Expiration

All downloadable URLs expire in 90 days after your order.

Data Format

The default format is csv where no single/double quotation marks are used in the file. The geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Example

Example on Spreadsheet

Column Names / Property Names

Names	Description	Physical unit / classes	Physical min	Physical max	Digital max	Scaling	Offset
time	The start date of the 10-daily period.	YYYY-MM-DD hh:mm:ss	–	–	–	–	–
lat	Latitude	Decimal	-90	90	–	–	–
lon	Longitude	Decimal	-180	180	–	–	–
GHI	Daily Average Global Horizontal Irradiation	kWh/m²	–	–	–	–	–

Further Details on Global Horizontal Irradiation (250m)

For further details, please refer the following page.

World – Global Horizontal Irradiation (GHI) GIS Data, (Global Solar Atlas)

Elevation is an elevation data retrieved from JAXA Earth API. This data is based on the Digital Surface Model by ALOS World 3D-30m (AWS3D30). This page purposes to explain detailed information for the downloadable data.

Example Dataset

Please download a free example dataset and use it in you app or analysis.

URL Expiration

All downloadable URLs expire in 90 days after your order.

Data Format

The default format is csv where no single/double quotation marks are used in the file. The geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Example

Example on Spreadsheet

Column Names / Property Names

Names	Description	Physical unit / classes	Physical min	Physical max	Digital max	Scaling	Offset
time	Date	2021-02-28	–	–	–	–	–
lat	Latitude	Decimal	-90	90	–	–	–
lon	Longitude	Decimal	-180	180	–	–	–
Elevation	Elevation	m	–	–	–	–	–

Further Details on Elevation

For further details, please refer the following page.

Digital Surface Model (DSM), JAXA Earth API

Our data for Soybean Data of Development Stage (DVS), Total Above-Ground Production (TAGS) and Total Weight Storage Organs (TWSO) is based on the data from Copernicus project in Europe. This page purposes to explain detailed information for the downloadable data.

Example Dataset (DVS)

Please download a free example dataset and use it in you app or analysis.

URL Expiration

All downloadable URLs expire in 90 days after your order.

Temporal Resolution and Update

The temporal resolution for this data is 10-daily. Also, the latest data is usually updated within 2-3 days after the latest Copernicus data is published.

When you see your ordered data first time, you would recognize that the data does not contain the whole data. This is NOT a bug but the data creation process has not done yet. After the order, the process begins, and then the whole data becomes accessible in several hours. In every 15 minutes, the data is revised in the direction of both the future and in the past.

Data Format

The default format is csv where no single/double quotation marks are used in the file. Also, the geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Example (DVS)

Example on Spreadsheet.

Column Names / Property Names

Names	Description	Physical unit / classes	Physical min	Physical max	Digital max	Scaling	Offset
time	Datetime	YYYY-MM-10 12:00:00	–	–	–	–	–
lat	Latitude	Decimal	–	–	–	–	–
lon	Longitude	Decimal	–	–	–	–	–
SoybeanDWS	Crop phenological stage: 0 at emergence, 1.0 at flowering, 2.0 at crop maturity	–	0	2	–	–	–
SoybeanTAGP	Total above-ground production (dry matter)	kg/ha	–	–	–	–	–
SoybeanTWSO	Total weight storage organs (dry matter), e.g. grains or pods	kg/ha	–	–	–	–	–

Further Details on Soybean Data

For further details, concerns such as satellite sensors and data accuracy, please refer the Copernicus pages and the ECMWF pages.

Crop productivity and evapotranspiration indicators from 2000 to present derived from satellite observations

Crop Productivity Indicators: Product User Guide and Specification (PUGS)

Our data for Soil Water Index Global (12.5km) is based on the data from Copernicus project in Europe. This page purposes to explain detailed information for the downloadable data.

Example Dataset

Please download a free example dataset and use it in you app or analysis.

URL Expiration

All downloadable URLs expire in 90 days after your order.

Frequency and Update

The frequency is daily. Also, the latest data is usually updated within 12-24 hours after the latest Copernicus data is published.

When you see your ordered data first time, you would recognize that the data does not contain the whole data. This is NOT a bug but the data creation process has not done yet. After the order, the process begins, and then the whole data becomes accessible in several hours. In every 15 minutes, the data is revised in the direction of both the future and in the past.

Data Format

The default format is csv where no single/double quotation marks are used in the file. Also, the geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Example

Example on Spreadsheet.

Column Names / Property Names

Names	Description	Physical unit / classes	Physical min	Physical max	Digital max	Scaling	Offset
time	Datetime the Copernicus file is published (GST).	YYYY-MM-DD 12:00:00	–	–	–	–	–
lat	Latitude	Decimal	-90	90	–	–	–
lon	Longitude	Decimal	-180	180	–	–	–
SWI (_001 to _60)	Soil Water Index at different time lengths	%	0	100	200	0.5	0
SoilWaterIndexGlobal	SWI_100	%	0	100	200	0.5	0
QFLAG (_001 to _100)	Quality flag for different time lengths	%	0	100	200	0.5	0
SSF	Surface State Flag	–	0	3	3	1	0

Please note that the column SoilWaterIndexGlobal is SWI_100.

Further Details on Soil Water Index Global

For further details, concerns such as satellite sensors and data accuracy, please refer the Copernicus pages.

Soil Water Index 2007-present (raster 12.5 km), global, daily – version 3

PRODUCT USER MANUAL

Our data for Precipitation Rate / JAXA is based on the data from G-Portal by JAXA. This page purposes to explain detailed information for the downloadable data.

Example Dataset

Please download a free example dataset and use it in you app or analysis.

URL Expiration

All downloadable URLs expire in 90 days after your order.

Frequency and Update

The frequency is hourly. Generally, the latest data is updated within 1-2 hours after the JAXA data becomes available in G-Portal. The data version is 8. Note that, because of using the different version, the value of the precipitation rate on JAXA Realtime Rainfall Watch is different from the value on this data. As of September 2th, 2024, the data version used in JAXA Realtime Rainfall Watch is 6. According to JAXA, the version 8 is more accurate, compare to the older version appeared on the application by JAXA.

Data Format

The default format is csv where no single/double quotation marks are used in the file. The rows having only the value of time mean that the precipitation rates are not observed at the point. Also, the geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Example

Example on Spreadsheet

Column Names / Property Names

Names	Description	Physical unit / classes	Physical min	Physical max
time	Datetime (UTC)	YYYY-MM-DD hh:mm:ss		–
lat	Latitude	Decimal	-60	60
lon	Longitude	Decimal	-180	180
PrecipitationRate	Precipitation Rate	mm / h	0 (-99, -8, -4)	–
gaugeQualityInfo	Number of rain gauge used in gauge adjustment at each pixel within one day.	counts / day	0	–
hourlyPrecipRateGC	Hourly rain rate at each pixel, calibrated by using ground-based gauge observation over land.	mm / h	0	–
observationTimeFlag	Relative time of latest microwave radiometer observation at each pixel	–	0 (-999, < 0)	–
satelliteInfoFlag	All satellite/sensor which are used in estimation of rainfall at each pixel during one-hour time period.	–	1	268435456
snowProbability	The probability ratio of snow fall in percent.	%	0	100

Further Details on Precipitation Rate / JAXA

For further details, concerns such as satellite sensors and data accuracy, please refer the document by JAXA.

Data Format Description for Global Rainfall Map Realtime version (GSMaP_NOW) and Gauge-calibrated Rainfall Product (GSMaP_Gauge_NOW)

https://sharaku.eorc.jaxa.jp/GSMaP/document/new/DataFormatDescription_NRT8.pdf

Our data for Sea Surface Temperature is based on the data from Coral Reef Watch, NOAA (National Oceanic and Atmospheric Administration). This page purposes to explain detailed information for the downloadable data.

Example Dataset

Please download a free example dataset and use it in you app or analysis.

Nighttime Ocean Temperature

According to the NOAA page, 5km Sea Surface Temperature (SST) Product is “a measurement of the nighttime ocean temperature at the sea surface, calibrated to 0.2 meters depth.”

URL Expiration

All downloadable URLs expire in 90 days after your order.

Frequency and Update

The frequency is daily. Also, generally, the latest data is usually updated within 1-2 hours after the latest NOAA data is published. According to the NOAA page, “It is updated each afternoon at about 12:00pm U.S. Eastern Time.”

When you see your ordered data first time, you would recognize that the data does not contain the whole data. This is NOT a bug and but the data creation process has not done yet. After the order, the process begins, and then the whole data becomes accessible in several hours. In every 15 minutes, the data is revised in the direction of both the future and in the past.

Data Format

The default format is csv where no single/double quotation marks are used in the file. The rows having only the value of time mean that SSTs are not observed at the point. Also, the geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Example

Example on Spreadsheet

Column Names / Property Names

Names	Description	Physical unit / classes	Physical min	Physical max
time	Date (UTC).	YYYY-MM-DD 12:00:00	2021-01-01 12:00:00	–
lat	Latitude	Decimal	-90	90
lon	Longitude	Decimal	-180	180
SST	Sea Surface Temperature (Nighttime & 0.2 meters depts)	C°	–	–
sea_ice_fraction	Sea Ice Fraction	–	–	–

Further Details on the Sea Surface Temperatures Data

For further details, concerns such as satellite sensors and data accuracy, please refer the Coral Reef Watch pages on NOAA.

Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring (Version 3.1, 1985-present, released August 1, 2018)

5km Sea Surface Temperature (SST) Product

Our data for Land Surface Temperature is based on the data from Copernicus project in Europe. This page purposes to explain detailed information for the downloadable data.

Example Dataset

Please download a free example dataset and use it in you app or analysis.

URL Expiration

All downloadable URLs expire in 90 days after your order.

Frequency and Update

The frequency is hourly. Also, generally, the latest data is usually updated within 1-2 hours after the latest Copernicus data is published. According to the Copernicus page, for the term from 2021 to present, “The global LST product is produced every hour in Near Real Time after less than 4 hours of the observation” and, for the term from 2010 to 2021 “The global LST product is produced every hour in Near Real Time after less than 3 hours of the observation.”

When you see your ordered data first time, you would recognize that the data does not contain the whole data (01 January, 2021 00:00:00 – present). This is NOT a bug but the data creation process has not done yet. After the order, the process begins, and then the whole data becomes accessible in several hours. In every 15 minutes, the data is revised in the direction of both the future and in the past.

Data Format

The default format is csv where no single/double quotation marks are used in the file. The rows having only the value of time mean that LSTs are not observed at the point. Also, the geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Tips for Using

Although, on our Web, Celsius is used for the unit of LST, as written below, the unit of LST on the downloadable data is Kelvin. Also, the time is not, as written below, observed time but published time. These two points should be fixed.

• Convert the unit of LST from Kelvin to Celsius. (Celsius = Kelvin – 273.15. It is LST – 273.15).
• Convert time, using the value of time and TIME_DELTA, the near real time (Deduct 240 + TIME_DELTA minutes from time. It is time – (4 * 60 minutes + TIME_DELTA). This is the case in using the data from 2021 to present. Using the data from 2010- 2021, the hour used in the equation should vary to 3.
• Fix the converted time to your time zone.

Example

Example on Spreadsheet (the columns named Observed Time and LST (C°) are added).

Column Names / Property Names

2021-Present

Names	Description	Physical unit / classes	Physical min	Physical max	Digital max	Scaling	Offset
time	Datetime the Copernicus file is published (GST).	YYYY-MM-DD hh:mm:ss	2021-01-18 14:00:00	–	–	–	–
lat	Latitude	Decimal	-60	70	–	–	–
lon	Longitude	Decimal	-180	180	–	–	–
ERRORBAR_LST	Error bar for LST	K	0°	50°	5000	1/100	0
LST	Land Surface Temperature	K	203.15 (-70°C)	353.15 (80°C)	8000	1/100	273.15
PERCENT_PROC_PIXELS	Percentage of processed pixels used in the data fusion step, when merging the data from various geostationary satellites	%	0	100	100	–	–
Q_FLAGS	Bitwise quality information, including information on the satellite used and cloudiness	–	0	64	64	–	–
TIME_DELTA	Time between the pixel observation time and the reference time as in the file name	Minutes	-30	30	30	–	–

2010-2021

Names	Description	Physical unit / classes	Physical min	Physical max	Digital max	Scaling	Offset
time	Datetime the Copernicus file is published (GST).	YYYY-MM-DD hh:mm:ss	–	2021-01-18 13:00:00	–	–	–
lat	Latitude	Decimal	-60	70	–	–	–
lon	Longitude	Decimal	-180	180	–	–	–
ERRORBAR_LST	Error bar for LST	K	0°	50°	5000	1/100	0
LST	Land Surface Temperature	K	203.15 (-70°C)	353.15 (80°C)	8000	1/100	273.15
PERCENT_PROC_PIXELS	Percentage of processed pixels used in the data fusion step, when merging the data from various geostationary satellites	%	0	100	100	–	–
Q_FLAGS	Bitwise quality information, including information on the satellite used and cloudiness	–	0	64	64	–	–
TIME_DELTA	Time between the pixel observation time and the reference time as in the file name	Minutes	-30	30	30	–	–

Further Details on the Land Surface Temperatures Data

For further details, concerns such as satellite sensors and data accuracy, please refer the Copernicus pages.

Land Surface Temperature 2021-present (raster 5 km), global, hourly – version 2

Land Surface Temperature 2010-2021 (raster 5 km), global, hourly – version 1