Mapping stand volumes of Pinus halepensis Mill in a semi-arid region using satellite imagery of the Sénalba Chergui forest in north-central Algeria

Mouissa, Habib; Fournier, Richard

doi:10.1016/j.jaridenv.2013.01.008

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…The Soil Adjusted Vegetation Index (SAVI), proposed by (Huete, 1988), stands out amongst these variations for achieving, for the first time, to optimize the vegetation response in situations of low canopy cover, where the soil contributes to the final spectral response. Due to its pioneering and functionality, NDVI and SAVI are commonly applied in forest quantitative analyzes (Ponzoni and Shimabukuro, 1998;Xavier, 1998;Bolfe et al, 2012;Ghahramany et al, 2012;Mouissa and Fournier, 2013) and have also provided the basis for the development of many other VIs. Bolfe (2010) lists 26 VIs created since 1974 until 1998, but hundreds of VIs can potentially be formulated with different spectral bands combinations (Meng et al, 2007).…”

Section: Eq1mentioning

confidence: 99%

Tree Age as Adjustment Factor to Ndvi

2018

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This study aimed to increase satellite-derived Normalized Difference Vegetation Index (NDVI) sensitivity to biophysical parameters changes with aid of a forest age-based adjustment factor. This factor is defined as a ratio between stand age and age of rotation, which value multiplied by Landsat-5/TM-derived NDVI generated the so-called adjusted index NDVI_a. Soil Adjusted Vegetation Index (SAVI) was also calculated. The relationship between these vegetation indices (VI) with Eucalyptus and Pinus stands’ wood volume was investigated. The adjustment factor caused an increase in NDVI dynamic range values, since older stands tended to be assigned with highest NDVI values, while younger ones tended to be forced to assume lower NDVI values. As a result, direct and significant relationship between NDVI_a and wood volume could be maintained for wider ranges of wood volume. However, it was observed that NDVI_a was only statistically superior to NDVI and SAVI when a detailed age dataset is available. It is conclude that, the stand age has potential to improve NDVI sensitivity to biophysical parameters allowing that quantitative estimates could be made since young to adult stands.

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Section: Eq1mentioning

confidence: 99%

Tree Age as Adjustment Factor to Ndvi

2018

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“…Many mailmen, generally acting as synergy, work with the attenuation of the steppe (Bensaid, 2006); Hirche et al, 2010;Benguerai, 2011). A hard climate and irregular and rare precipitations have ridged, for already a few decades, against an increase in population extremely testing and an unsuited exploitation (Djellouli, 1990;Hadjiat, 1997;Cornet, 2002); Benslimane et al, 2008;Mouissa & Fournie, 2013). This situation is in fact extremely alarming.…”

Section: Introductionmentioning

confidence: 99%

Use of Remote Sensing for Monitoring of the Deforestation in Semi-Arid Region Case of the Djelfa Forests (Algeria)

Khader¹,

Mouissa²,

Hadjadj³

et al. 2022

CTNS

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The current study is interested in the pilot region of Djelfa steppe located in northern Algeria, where a sizable pastoral activity serves as the foundation of the social organisation and the primary source of income. Today's courses experience a severe degradation that menaces the future of pastoral activity due to the disorganisation of social fabric, the phenomenon of turning into a desert, and eolian erosion. It is in this concern that we worked out a methodological approach aiming at characterising the current ecological situation, by using efficient tools namely: remote sensing and GIS. Thus a card of occupation of the ground containing a characterisation of the various courses of the area was carried out by the use of the Landsat imagery. The results so obtained and other inherent data in the middle of study and with our problems were integrated in a Database with the purpose of placing at the disposal of the decision makers and the specialist’s rational management tools in the fodder resources.

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