2001_2021_ MODIS_FourierProcessed_1k_ER
Authors/Creators
- 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)
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md5:4b0953c51ecaca8a5c74b13998508f88
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md5:774c7c3fdb8ee5203d24d4c5600c4541
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md5:3069a8986fd2ff6a0e1006e7d36a4bb4
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md5:b2a0227a810844f2bf6fc964a52c61d2
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md5:08cf165a262283e58bb68bcb6127ef1d
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586.3 kB | Preview Download |
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md5:02b73e577d8d39cf83f208e56f305e40
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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
-
2001/2021Time Series Analysis