MODIS

A novel method based on time series satellite data analysis to detect algal blooms

Water bodies eutrophication is a worldwide environmental problem characterized by excessive phytoplankton growth which often includes occurrence of harmful algal blooms events. Chlorophyll-a concentration is widely used as an indicator of biomass and …

On parameterizing soil evaporation in a direct remote sensing model of ET: PT‐JPL

Remote sensing models that measure evapotranspiration directly from the Penman‐Monteith or Priestley‐Taylor equations typically estimate the soil evaporation component over large areas using coarse spatial resolution relative humidity (RH) from …

Analyzing space-time satellite data with GRASS GIS for environmental monitoring

Workshop at OpenGeoHub Summer School 2019 about the analysis of space-time satellite data with GRASS GIS for environmental monitoring.

Identifying Favorable Spatio-Temporal Conditions for West Nile Virus Outbreaks by Co-Clustering of MODIS LST Indices Time Series

This study presents the first results of the use of co-clustering to identify potential spatial and temporal concurrences of favourable conditions for the emergence and maintenance of West Nile Virus (WNV) in Greece. We applied the Bregman block …

Effect of Climate and Land Use on the Spatio-Temporal Variability of Tick-Borne Bacteria in Europe

The incidence of tick-borne diseases caused by Borrelia burgdorferi sensu lato, Anaplasma phagocytophilum and Rickettsia spp. has been rising in Europe in recent decades. Early pre-assessment of acarological hazard still represents a complex …

A New Fully Gap-Free Time Series of Land Surface Temperature from MODIS LST Data

Temperature time series with high spatial and temporal resolutions are important for several applications. The new MODIS Land Surface Temperature (LST) collection 6 provides numerous improvements compared to collection 5. However, being remotely …

CAN RECONSTRUCTED LAND SURFACE TEMPERATURE DATA FROM SPACE PREDICT A WEST NILE VIRUS OUTBREAK?

Temperature is one of the main drivers of ecological processes. The availability of temporally and spatially continuous temperature time series is crucial in different research and application fields, such as epidemiology and control of zoonotic …

pymodis, GDAL and GRASS GIS: A FOSS4G example to build time series of MODIS data

Recently, the National Aeronautics and Space Administration (NASA) has re-processed all the MODIS archive and made available the sixth version for all land products. In this post, I share a script that combines different FOSS4G tools to download, mosaic, re-project, subset, import, apply quality assessment flags and build a time series of MODIS LST daily products. First, we use the pymodis tool modis_download to automatically download 4 tiles of the MOD11A1 product for the period 2010-2016.

How to aggregate daily data into MODIS-like 8 day aggregation pattern?

Several MODIS products come in “8-day” compositions. Suppose we have daily data and we want to aggregate it with this MODIS-like granularity. How can we achieve that? First idea would be to use the great t.rast.aggregate module in GRASS GIS with granularity=“8 days”. But this presents a problem. It does not re-start every year, but aggregates the whole series with 8-day granularity, not considering the year. Meanwhile, MODIS 8-day products re-start the aggregation every January 1st.

Remote Sensing of Phytoplankton Blooms in the Continental Shelf and Shelf-Break of Argentina: Spatio-Temporal Changes and Phenology

We studied the spatio-temporal variations of satellite chlorophyll-a (chl-a) and phytoplankton blooms in the continental shelf and shelf-break of the Argentinean patagonic region by means of an 11-years time series of level 3 (L3) MODIS/Aqua …