Simulation Planning for Sustainable Use of Land Resources: Case study in Diamou

Yacouba, Diallo; Hu, Guanyu; Abdulahi, Abdurazak Hussien

doi:10.3844/jms2.2009.15.23

Cited by 1 publication

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The NDVI is a simple numerical indicator that can be used to analyze the remote sensing measurements, from a remote platform and assess whether the target or object being observed contains live green vegetation or not, From the Eqs. 1and (2). NDVI and Green Normalized Difference Vegetation Index (GNDVI), is calculated as [8].…”

Section: Normalized Difference Vegetation Index (Ndvi)mentioning

confidence: 99%

“…Unhealthy or sparse vegetation reflects more visible light and less NIR light [9]. The range is theoretically between -1 and 1, where increasing positive values indicate increasing green vegetation and negative values indicate non-vegetated surface features such as water, barren land, ice, snow, or clouds [2]. A variation of NDVI has been developed which uses the green band portion of the electromagnetic spectrum rather than the red band.…”

Section: Normalized Difference Vegetation Index (Ndvi)mentioning

confidence: 99%

“…In this case, a difference image was created between the Normalized Difference Vegetation Index (NDVI) images The NDVI method gives superior results for vegetation varying in densities and also for scattered vegetation from a multispectral remote sensing image. [2]. Digital image processing of satellite data provides tools for analyzing the image through different algorithms and mathematical indices.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Assessment of vegetal cover changes using Normalized Difference Vegetation Index (NDVI) and subtractive (NDVI) time-series, Karbala province, Iraq

Muhsin¹

2018

IJP

View full text Add to dashboard Cite

Karbala province regarded one part significant zones in Iraq and considered an economic resource of vegetation such as trees of fruits, sieve and other vegetation. This research aimed to utilize Normalized Difference Vegetation index (NDVI) and Subtracted (NDVI) for investigating the current vegetation cover at last four decay. The Normalized Difference Vegetation Index (NDVI) is the most extensively used satellite index of vegetation health and density. The primary goals of this research are gather a gathering of studied area (Karbala province) satellite images in sequence time for a similar region, these image captured by Landsat (TM 1985, TM 1995, ETM+ 2005 and Landsat 8 OLI (Operational Land Imager) 2015. Preprocessing such gap filling consider being vital stride has been implied on the defected image which captured in Landsat 2005 and isolate the regions of studied region. The Assessment vegetal cover changes of the studied area in this paper has been implemented using Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI) and change detection techniques such as Subtracted (NDVI) method also have been used to detect the change in vegetal cover of the studied region. Many histogram and statistical properties were illustrated has been computed. From The results shows there are increasing in the vegetal cover from 1985 to 2015.

show abstract

Section: Normalized Difference Vegetation Index (Ndvi)mentioning

confidence: 99%

Section: Normalized Difference Vegetation Index (Ndvi)mentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation