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Unwanted vegetation and abandoned lands detection and mapping

Motivations

Council Regulation (EC) No 73/2009 Article 6 Good agricultural and environmental condition

Minimum level of maintenance:

Ensure a minimum level of maintenance and avoid the deterioration of habitatsRetention of landscape features, including, where appropriate, hedges, ponds, ditches trees inline,

in group or isolated and field margins

Avoiding the encroachment of unwanted vegetation on agricultural land

Protection of permanent pasture

Objective

Develop a methodology for identification of unwanted vegetation, abandoned lands from satelliteimages to be used in visual photointerpretation CAPI


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Zona de studiu si datele folosite

The chosen study area is a part of Mehedinti county


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Procedures

From satellite images vegetation indices NDVI , MSAVI , MMSAVI was generated .

NDVI was generated for all HR images


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NDVI was selected because is probably the most commonly used index in the

last decades when studying vegetation.

Its deficiencies and advantages have been thoroughly studied and are actually well known. This provided to the project results a kind of point of reference fromwhere the performance of the other techniques was evaluated. NDVI is defined as:

.

where R and NIR represent the surface reflectance on the red and near

infrared regions of the spectrum, respectively.

MSAVI


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The modified soil-adjusted vegetation index (MSAVI) and its later revision, MSAVI2, are soil

adjusted vegetation indices that seek to address some of the limitation of NDVI when applied to areaswith a high degree of exposed soil surface.

where RED is the red band reflectance from a sensor, NIR is the near infrared band reflectance, and L is

the soil brightness correction factor. MSAVI uses the following formula to calculate L, where s is theslope of the soil line from a plot of red versus near infrared brightness values. :

Modified MSAVI

The formula of calculation is the same as in MSAVI , the only exception is instead of deducting

RED band from NIR , we deducted GREEN band from NIR

After the stage where all 3 indices (NVDI,MSAVI, MMSAVI) Fig. 1 a stack was created ,

NDVI,MSAVI,MMSAVI become a layer of the new image obtained like this Fig. 2 , Fig. 3 .

The stacks was classified using unsupervised classification ,obtained classe was gruped in 4

principal classes Fig. 5:


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NDVI 9 May NDVI 14 Jun NDVI 14 Jul

MSAVI 9 May MSAVI 14 Jun MSAVI 14 Jul

MMSAVI 9 May MMSAVI 14 Jun MMSAVI 14 Jul

Fig. 1


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Stacks

NDVI

MSAVI


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Stacks overview

NDVI MMSAVI MMSAVI

Stacks classification

NDVI MSAVI MMSAVI

Fig 3


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Diferente

NDVI MSAVI MMSAVI

Fig. 4


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Abandoned vs uncultivated land

Fig. 5

Abandoned land

Uncultivated landUncultivated land encroachement of unwanted vegetation


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Conclusions

- Vegetation indices classification can be a great help in taking decisions regarding GAECs- The method doesnt eliminate the classical visual interpretation on time series satellite images

To do in the future:Supervised classification

Initial masking of urban elements

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