FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2803946596> ?p ?o ?g. }

• W2803946596 abstract "Iraq, the land of two rivers, has a history that extends back millennia and is the subject of much archaeological research. However, little environmental research has been carried out, and as such relatively little is known about the interaction between Iraq’s vegetation and climate. This research serves to fill this knowledge gap by investigating the relationship between the Normalized Difference Vegetation Index (NDVI) and two climatic factors (precipitation and air temperature) over the last decade. The precipitation and air temperature datasets are from the Water and Global Change Forcing Data ERA-Interim (WFDEI), and the NDVI dataset was extracted from the Moderate Resolution Imaging Spectroradiometer (MODIS) at 250 m spatial resolution and 16 day temporal resolution. Three different climatic regions in Iraq, Sulaymaniyah, Wasit, and Basrah, were selected for the period of 2001–2015. This is the first study to compare these regions in Iraq, and one of only a few investigating vegetation’s relationship with multiple climatic factors, including precipitation and air temperature, particularly in a semi-arid region. The interannual, intra-annual and seasonal variability for each region is analysed to compare the different responses of vegetation growth to climatic factors. Correlations between NDVI and climatic factors are also included. Plotting annual cycles of NDVI and precipitation reveals a coherent onset, fluctuation (peak and decline), with a time lag of 4 months for Sulaymaniyah and Wasit (while for the Basrah region, high temperatures and a short rainy season was observed). The correlation coefficients between NDVI and precipitation are relatively high, especially in Sulaymaniyah, and the largest positive correlation was (0.8635) with a time lag of 4 months. The phenological transition points range between 3 and 4 month time lag; this corresponds to the duration of maturity of the vegetation. However, when correlated with air temperature, NDVI experiences an inverse relationship, although not as strong as that of NDVI and precipitation; the highest negative correlation was observed in Wasit with a time lag of 2 months (− 0.7562). The results showed that there is a similarity between temporal patterns of NDVI and precipitation. This similarity is stronger than that of NDVI and air temperature, so it can be concluded that NDVI is a sensitive indicator of the inter-annual variability of precipitation and that precipitation constitutes the primary factor in germination while the air temperature acts with a lesser effect." @default.
• W2803946596 created "2018-06-01" @default.
• W2803946596 creator A5008643995 @default.
• W2803946596 creator A5067133887 @default.
• W2803946596 creator A5070932628 @default.
• W2803946596 creator A5085430854 @default.
• W2803946596 date "2018-05-01" @default.
• W2803946596 modified "2023-10-02" @default.
• W2803946596 title "Analysis of NVDI variability in response to precipitation and air temperature in different regions of Iraq, using MODIS vegetation indices" @default.
• W2803946596 cites W1559539736 @default.
• W2803946596 cites W1584702533 @default.
• W2803946596 cites W1588622902 @default.
• W2803946596 cites W1713265338 @default.
• W2803946596 cites W1867005924 @default.
• W2803946596 cites W1965050236 @default.
• W2803946596 cites W1965736176 @default.
• W2803946596 cites W1978869941 @default.
• W2803946596 cites W1981535710 @default.
• W2803946596 cites W1984381123 @default.
• W2803946596 cites W1987101860 @default.
• W2803946596 cites W1988766138 @default.
• W2803946596 cites W1989839776 @default.
• W2803946596 cites W1993395103 @default.
• W2803946596 cites W1995298216 @default.
• W2803946596 cites W1995622703 @default.
• W2803946596 cites W2015037454 @default.
• W2803946596 cites W2015839640 @default.
• W2803946596 cites W2024647033 @default.
• W2803946596 cites W2032375948 @default.
• W2803946596 cites W2034597892 @default.
• W2803946596 cites W2035359815 @default.
• W2803946596 cites W2036742228 @default.
• W2803946596 cites W2038229026 @default.
• W2803946596 cites W2039707504 @default.
• W2803946596 cites W2052115471 @default.
• W2803946596 cites W2059523177 @default.
• W2803946596 cites W2071518857 @default.
• W2803946596 cites W2072613263 @default.
• W2803946596 cites W2087100226 @default.
• W2803946596 cites W2091690667 @default.
• W2803946596 cites W2091804612 @default.
• W2803946596 cites W2097002879 @default.
• W2803946596 cites W2100694493 @default.
• W2803946596 cites W2104145134 @default.
• W2803946596 cites W2106639478 @default.
• W2803946596 cites W2112278810 @default.
• W2803946596 cites W2114939821 @default.
• W2803946596 cites W2116960794 @default.
• W2803946596 cites W2127170577 @default.
• W2803946596 cites W2127859110 @default.
• W2803946596 cites W2155356481 @default.
• W2803946596 cites W2174597041 @default.
• W2803946596 cites W2330463725 @default.
• W2803946596 cites W2605670388 @default.
• W2803946596 cites W2784892377 @default.
• W2803946596 doi "https://doi.org/10.1007/s12665-018-7560-x" @default.
• W2803946596 hasPublicationYear "2018" @default.
• W2803946596 type Work @default.
• W2803946596 sameAs 2803946596 @default.
• W2803946596 citedByCount "20" @default.
• W2803946596 countsByYear W28039465962019 @default.
• W2803946596 countsByYear W28039465962020 @default.
• W2803946596 countsByYear W28039465962021 @default.
• W2803946596 countsByYear W28039465962022 @default.
• W2803946596 countsByYear W28039465962023 @default.
• W2803946596 crossrefType "journal-article" @default.
• W2803946596 hasAuthorship W2803946596A5008643995 @default.
• W2803946596 hasAuthorship W2803946596A5067133887 @default.
• W2803946596 hasAuthorship W2803946596A5070932628 @default.
• W2803946596 hasAuthorship W2803946596A5085430854 @default.
• W2803946596 hasBestOaLocation W28039465962 @default.
• W2803946596 hasConcept C100970517 @default.
• W2803946596 hasConcept C107054158 @default.
• W2803946596 hasConcept C111368507 @default.
• W2803946596 hasConcept C127313418 @default.
• W2803946596 hasConcept C127413603 @default.
• W2803946596 hasConcept C132651083 @default.
• W2803946596 hasConcept C142724271 @default.
• W2803946596 hasConcept C146978453 @default.
• W2803946596 hasConcept C150772632 @default.
• W2803946596 hasConcept C151730666 @default.
• W2803946596 hasConcept C153294291 @default.
• W2803946596 hasConcept C1549246 @default.
• W2803946596 hasConcept C19269812 @default.
• W2803946596 hasConcept C205649164 @default.
• W2803946596 hasConcept C2776133958 @default.
• W2803946596 hasConcept C2777007095 @default.
• W2803946596 hasConcept C2780376076 @default.
• W2803946596 hasConcept C39432304 @default.
• W2803946596 hasConcept C49204034 @default.
• W2803946596 hasConcept C71924100 @default.
• W2803946596 hasConcept C78869512 @default.
• W2803946596 hasConceptScore W2803946596C100970517 @default.
• W2803946596 hasConceptScore W2803946596C107054158 @default.
• W2803946596 hasConceptScore W2803946596C111368507 @default.
• W2803946596 hasConceptScore W2803946596C127313418 @default.
• W2803946596 hasConceptScore W2803946596C127413603 @default.
• W2803946596 hasConceptScore W2803946596C132651083 @default.
• W2803946596 hasConceptScore W2803946596C142724271 @default.
• W2803946596 hasConceptScore W2803946596C146978453 @default.

• next