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Vegetation indices, FAPAR and spatial seasonality analysis of crops in southern Sweden

Jahan, Raunaq (2010) In Lunds universitets Naturgeografiska institution - Seminarieuppsatser
Dept of Physical Geography and Ecosystem Science
Abstract
Remote sensing is an extensively used technique in ecosystem monitoring or analyzing the
carbon balance on the earth surface. The most dominant part of south west Skåne is
agricultural land and MODIS derived Vegetation Indexes (VIs) are able to investigate the
seasonality of crop fields. The values of VIs represent the different stages of spring
greening up of crops and it shows the non-linear and strong relationship with groundmeasured
fraction of absorbed photosynthetically active radiation (FAPAR). Crop
productivity is related to absorbed radiation and there are some evident from previous
studies which are able to provide relationship between VIs and Gross Primary Productivity
(GPP). So, when the measured FAPAR describe more... (More)
Remote sensing is an extensively used technique in ecosystem monitoring or analyzing the
carbon balance on the earth surface. The most dominant part of south west Skåne is
agricultural land and MODIS derived Vegetation Indexes (VIs) are able to investigate the
seasonality of crop fields. The values of VIs represent the different stages of spring
greening up of crops and it shows the non-linear and strong relationship with groundmeasured
fraction of absorbed photosynthetically active radiation (FAPAR). Crop
productivity is related to absorbed radiation and there are some evident from previous
studies which are able to provide relationship between VIs and Gross Primary Productivity
(GPP). So, when the measured FAPAR describe more than 70% of NDVI (Normalized
difference vegetation index) and WDRVI (Wide dynamic range vegetation index) of
MODIS data, it is possible to monitor the productivity of crops through remote sensing
tool. TIMESAT software was used to analyze graphical as well as image based vegetation
indices and seasonality parameters. As there were two growing seasons in the study area,
TIMESAT sometimes failed to cover the second season in seasonality analysis. Spatial
analysis of crop phenology revealed dynamic for the area, and the phonological parameters
varied according to VIs. Seasonality analysis for the four study area showed slight
decreasing trend of the parameters in both indices, but image based spatial analysis was
able to distinguish both increase and decrease of the parameters in different parts of south
west Skåne. Spatial analysis of phenology requires more than one index results of an area
to get less problematic results. (Less)
Please use this url to cite or link to this publication:
author
Jahan, Raunaq
supervisor
organization
year
type
H2 - Master's Degree (Two Years)
subject
keywords
carbon uptake, WDRVI, FAPAR, MODIS, physical geography, NDVI, geography, TIMESAT, south west Skåne
publication/series
Lunds universitets Naturgeografiska institution - Seminarieuppsatser
report number
196
language
English
id
1969937
date added to LUP
2011-05-26 12:15:40
date last changed
2011-12-21 10:59:18
@misc{1969937,
  abstract     = {Remote sensing is an extensively used technique in ecosystem monitoring or analyzing the
carbon balance on the earth surface. The most dominant part of south west Skåne is
agricultural land and MODIS derived Vegetation Indexes (VIs) are able to investigate the
seasonality of crop fields. The values of VIs represent the different stages of spring
greening up of crops and it shows the non-linear and strong relationship with groundmeasured
fraction of absorbed photosynthetically active radiation (FAPAR). Crop
productivity is related to absorbed radiation and there are some evident from previous
studies which are able to provide relationship between VIs and Gross Primary Productivity
(GPP). So, when the measured FAPAR describe more than 70% of NDVI (Normalized
difference vegetation index) and WDRVI (Wide dynamic range vegetation index) of
MODIS data, it is possible to monitor the productivity of crops through remote sensing
tool. TIMESAT software was used to analyze graphical as well as image based vegetation
indices and seasonality parameters. As there were two growing seasons in the study area,
TIMESAT sometimes failed to cover the second season in seasonality analysis. Spatial
analysis of crop phenology revealed dynamic for the area, and the phonological parameters
varied according to VIs. Seasonality analysis for the four study area showed slight
decreasing trend of the parameters in both indices, but image based spatial analysis was
able to distinguish both increase and decrease of the parameters in different parts of south
west Skåne. Spatial analysis of phenology requires more than one index results of an area
to get less problematic results.},
  author       = {Jahan, Raunaq},
  keyword      = {carbon
uptake,WDRVI,FAPAR,MODIS,physical geography,NDVI,geography,TIMESAT,south west Skåne},
  language     = {eng},
  note         = {Student Paper},
  series       = {Lunds universitets Naturgeografiska institution - Seminarieuppsatser},
  title        = {Vegetation indices, FAPAR and spatial seasonality analysis of crops in southern Sweden},
  year         = {2010},
}