@article{fdi:010081481,
  title = {{M}onitoring vegetation change in {T}ozeur oases in {S}outhern {T}unisia by using trend analysis of {MODIS} {NDVI} time series (2000-2016)},
  author = {{B}en {K}halfallah, {C}. and {D}ela{\^i}tre, {E}ric and {O}uerchefani, {D}. and {D}emagistri, {L}aurent and {D}arragi, {F}. and {S}eyler, {F}r{\'e}d{\'e}rique},
  editor = {},
  language = {{ENG}},
  abstract = {{O}asis ecosystems are highly vulnerable to environmental changes. {T}o determine the state of vegetation in these ecosystems, monitoring systems must be provided with data on cultivated areas. {T}hese data can be obtained in part by using satellite observation systems with high and moderate spatial resolution and high temporal repetitiveness; these systems offer a synoptic vision that makes them a particularly appropriate information source for effectively estimating such data. {I}n this study, we describe an approach to monitor the changing dynamics of {T}ozeur oases in southwestern {T}unisia. {T}o this end, we used a time series decomposition method (seasonal and trend decomposition using loess) to extract the trends from a multi-year time series at the scale of a geographical point (250 m x 250 m pixel) across the {MOD}13{Q}1 time series (2000-2016) of the {M}oderate {R}esolution {I}maging {S}pectroradiometer ({MODIS}) sensor, at a 250-m spatial resolution time series. {T}hese methods were tested with the final aim of setting up an oasis monitoring system based on the analysis of time signatures obtained from {MODIS} images. {T}he results showed that it was possible to identify the main types of irrigated perimeters present in the {D}jerid region and retrospectively trace their recent development history.},
  keywords = {{TUNISIE} ; {TOZEUR}},
  booktitle = {},
  journal = {{C}anadian {J}ournal of {R}emote {S}ensing},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[19 ]},
  ISSN = {0703-8992},
  year = {2021},
  DOI = {10.1080/07038992.2021.1922881},
  URL = {https://www.documentation.ird.fr/hor/fdi:010081481},
}