Spatiotemporal Assessment of Vegetation Indices and Land Cover for Erbil City and Its Surrounding Using Modis Imageries

Hussein, Samera Shams; Kovács, Ferenc; Tobak, Zalán

doi:10.1515/jengeo-2017-0004

Cited by 24 publications

(21 citation statements)

References 21 publications

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“…Some investigations on the application of remote sensing data for vegetation analysing were conducted at parts of the Kurdistan region of Iraq (KRGI). For example, Hussein, et al [21] assessed the spatiotemporal variations of vegetation index in Erbil and its environment between 2000 and 2015, using MODIS satellite data. Till date, no attempt has been made to analyse spatiotemporal variation of vegetation cover in the whole KRGI using remote sensing data.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Analysis of Vegetation Cover in Kurdistan Region-Iraq using MODIS Image Data

Mustafa¹

2020

JASTT

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The rapidly and wide use of remote sensing and accurately obtain information on the spatiotemporal distribution of large-scale vegetation is of great significance for improving and managing the Environment. To assess and analyze the spatiotemporal variation of vegetation status in Kurdistan Region of Iraq (KRGI), we used time series NDVI-based vegetation that are extracted from MOD13Q1 MODIS product over 20 years (2000 - 2019). The results showed that vegetation was mainly distributed in the north-east to south-east of the KRGI, while west region has less distributed and almost no vegetation. This is clearly remarkable in the south-west part of the region (Garmian administration). While, the most dominated vegetation province was Duhok province in KRGI during study period. There is a noticeable temporal variation in vegetation over a period of 20-year in the KRGI. The lower vegetated cover area is observed in the years 2000, 2008, and 2009. The increase/decrease of vegetated cover area is not only effected by climate conditions. The anthropogenic resource is also one of the main resources that has a major influence on the increase/decrease of vegetation.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Analysis of Vegetation Cover in Kurdistan Region-Iraq using MODIS Image Data

Mustafa¹

2020

JASTT

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“…The rate of global urbanization is exponentially increasing, causing damage and reducing areas of natural vegetation (Hussein et al, 2017;López et al, 2001). Monitoring changes in land cover and understanding its spatial properties will lead to an accurate and deep understanding of how human activity affects the general ecological state of the environment (Stow and Chen, 2002;Yeh and Li, 1999).…”

Section: Introductionmentioning

confidence: 99%

Land Cover Change Investigation in the Southern Syrian Coastal Basins During the Past 30-Years Using Landsat Remote Sensing Data

Hammad

Mucsi

Leeuwen

2018

Journal of Environmental Geography

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Land cover change and deforestation are important global ecosystem hazards. As for Syria, the current conflict and the subsequent absence of the forest preservation are main reasons for land cover change. This study aims to investigate the temporal and spatial aspects and trends of the land cover alterations in the southern Syrian coastal basins. In this study, land cover maps were made from surface reflectance images of Landsat-5(TM), Landsat-7(ETM+) and Landsat-8(OLI) during May (period of maximum vegetation cover) in 1987, 2002 and 2017. The images were classified into four different thematic classes using the maximum likelihood supervised classification method. The classification results were validated using 160 validation points in 2017, where overall accuracy was 83.75%. Spatial analysis was applied to investigate the land cover change during the period of 30 years for each basin and the whole study area. The results show 262.40 km2 reduction of forest and natural vegetation area during (1987-2017) period, and 72.5% of this reduction occurred during (2002-2017) period due to over-cutting of forest trees as a source of heating by local people, especially during the conflict period. This reduction was particularly high in the Alabrash and Hseen basins with 76.13 and 79.49 km2 respectively, and was accompanied by major increase of agriculture lands area which is attributed to dam construction in these basins which allowed people to cultivate rural lands for subsistence or to enhance their economic situation. The results of this study must draw the relevant authorities’ attention to preserve the remaining forest area.

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“…However, the cropland (Kharif and Rabi) shows almost similar interseasonal variability during both the season. This little variation in the croplands during Kharif season and Rabi season may attribute to the abrupt changes in rainfall that influence the vegetation growth (Hussein et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Modis Ndvi and Rainfall Relation Over the Land Use and Land Covers of Tamil Nadu, India

Prajesh

Kannan

Pazhanivelan

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Vegetation is a part of terrestrial ecosystem that plays an important role in stabilizing global environment. Their needs to be a reliable information on the status of vegetation, which is needed for solving environmental problems. In this present study, vegetation growth and development were monitored over the land covets of Tamil Nadu, India during the crop growing season viz., Kharif season and Rabi season of 2017 using MODIS satellite derived surface reflectance product (MOD09A1) which is available at 500 m resolution and 8-days temporal period. Based on the surface reflectance data, NDVI was extracted for monitoring vegetation greening and browning. In order to correlate the relation between vegetation growth and influence of rainfall over the land covers, averaged seasonal rainfall was extracted from TRMM based rainfall product. It was noticed that NDVI response from the land covers showed a good range of temporal variations in vegetation biomass condition, however NDVI values appears to have increasing variations which indicated presence of high biomass intensity in Tamil Nadu. The seasonal NDVI response under non-vegetated/barren land class and moderate vegetation class was well related to shortage of dry spell and deficiency in precipitation that occurs due to abrupt changes in climate within the season. While the seasonal rainfall distribution over the land covers suggested that, compared to Kharif season, Rabi season received maximum amount of rainfall in Tamil Nadu during the cropping season of 2017. However, it was also observed that due fluctuation in intensity and duration of rainfall, the seasonal rainfall distribution over the land covers suggested that, compared to Kharif season, Rabi season received maximum amount of rainfall in Tamil Nadu during the cropping season of 2017.

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Spatiotemporal Assessment of Vegetation Indices and Land Cover for Erbil City and Its Surrounding Using Modis Imageries

Cited by 24 publications

References 21 publications

Spatiotemporal Analysis of Vegetation Cover in Kurdistan Region-Iraq using MODIS Image Data

Spatiotemporal Analysis of Vegetation Cover in Kurdistan Region-Iraq using MODIS Image Data

Land Cover Change Investigation in the Southern Syrian Coastal Basins During the Past 30-Years Using Landsat Remote Sensing Data

Evaluation of Modis Ndvi and Rainfall Relation Over the Land Use and Land Covers of Tamil Nadu, India

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