Published July 30, 2024 | Version v1

2001_2021_ MODIS_FourierProcessed_1k_ER

  • 1. Environmental Research Group Oxford

Description

Overview:

This is a set of images produced by Temporal Fourier Analysis of global MODIS data

NDVI: Normalised Difference Vegetation Index

EVI: Enhanced Vegetation Index

MIR: Middle Infra-Red

DLST: Day-time Land Surface Temperature

NLST: Night-time Land Surface Temperature

 

Abstract:

MODIS is a sensor on board two NASA satellites, providing near-daily coverage of the entire Earth. The MOD11A2 product contains an 8-day average of land surface temperature at 1-kilometre resolution. Reflectance values have been adjusted to remove the distortion caused by the view angle and land surface texture. The MOD13A2 Product used for NDVI, EVI, and Middle Infra-red from USGS. The imagery summarises key environmental indicators, incorporating seasonal dynamics, for the MOOD study area.

This is an update of the 2001-2019 series, which adds to 2021 and is then processed by a temporal Fourier processing algorithm.

A stepwise system of thresholds and interpolations screened erroneous values and bridged gaps in the time series. The smoothed series was sampled at 5-day intervals and transformed into a set of sine curves describing annual, bi-annual, and tri-annual fluctuations. For each of these curves, the Fourier algorithm generated images expressing the amplitude, phase, and variance. Other outputs recorded the mean, minimum, and maximum of time series, and error measured during the Fourier transform. For a detailed description of the Fourier algorithm and its output, please see the article by Scharlemann et al., 2008 (https://doi.org/10.1371/journal.pone.0001408)
 Sea pixels were masked with a MODIS land/sea layer and the images were projected from sinusoidal to geographic. The MOOD study region was a subset of global images. Idrisi rasters were converted to Geotiff format in order to give data users more flexibility
 

File naming scheme:  

 The er at the start of each file name indicates that the image covers the wider Europe and North Africa region included in the MOOD study area and is in geographic projection. 11 refers to the year timeline from 2001-2021.
 
 The next two characters identify the channel:
 03 - middle infra-red
 07 - daytime land surface temperature
 08 - nighttime land surface temperature
 14 - NDVI: Normalised Difference Vegetation Index
 15 - EVI: Enhanced Vegetation Index
 
 The last two characters of each file name denote the output from Fourier processing:
 a0 - mean
 mn - minimum
 mx - maximum
 a1 - amplitude of annual cycle
 a2 - amplitude of bi-annual cycle
 a3 - amplitude of tri-annual cycle
 p1 - phase of annual cycle
 p2 - phase of bi-annual cycle
 p3 - phase of tri-annual cycle
 d1 - variance in annual cycle
 d2 - variance in bi-annual cycle
 d3 - variance in tri-annual cycle
 da - combined variance in annual, bi-annual, and tri-annual cycles
 vr - variance in raw data

 

Files can be accessed here as well (including Global files). 


 
Projection + EPSG code:
Latitude-Longitude/WGS84 (EPSG: 4326)
Spatial extent:
Extent  -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716
Spatial resolution:
0.0083333 deg (approx. 1000 m)  
Temporal resolution:
 8-day and 16-day  from 2001 to 2021


Pixel values

Parameter Fourier Variable Image values are
MIR (03) A0, A1, A2, A3, Min, Max, Vr Reflectance values * 10000
LST (07 day,08 night) A0, A1, A2, A3, Min, Max, Vr (Degrees Centigrade+273)*50
NDVI (14) and EVI (15) A0, A1, A2, A3, Index Value * 1000
NDVI (14) and EVI (15) A0, Min, Max, Index Value * 1000 + 10000
NDVI (14) and EVI (15) VR Value * 10000
ALL D1,D2,D3,Da Percentages
ALL E1,E2,E3 Percentages
ALL P1,P2.P3 Months*100. (Jan=100)


Source: 
MODIS  NASA :MOD11A2 and MOD13A2


Software used:
Codes for modelling are in Python and C++
The software used for map production is ESRI ArcMap 10.8


License: CC-BY-SA 4.0
Processed by:
ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project

Files

Overview_er_0121_03_a0.jpg

Files (3.3 GB)

Name Size
md5:74e20b8860cc36aebf751663c7390506
784.9 MB Preview Download
md5:4b0953c51ecaca8a5c74b13998508f88
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md5:774c7c3fdb8ee5203d24d4c5600c4541
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md5:3069a8986fd2ff6a0e1006e7d36a4bb4
788.8 MB Preview Download
md5:b2a0227a810844f2bf6fc964a52c61d2
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md5:08cf165a262283e58bb68bcb6127ef1d
586.3 kB Preview Download
md5:02b73e577d8d39cf83f208e56f305e40
712.7 kB Preview Download

Additional details

Related works

Is derived from
Journal: 10.1371/journal.pone.0001408 (DOI)
Is new version of
Dataset: 10.5281/zenodo.13134568 (DOI)
Is previous version of
Dataset: 10.5281/zenodo.12914014 (DOI)
Dataset: 10.5281/zenodo.11083242 (DOI)

Dates

Available
2001/2021
Time Series Analysis