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Register a new userLand Use/Land Cover Classification Using Remote Sensing Techniques . A Case Study AL Mazraa Sub-District .
تصنيف استخدامات الأراضي و توزع الغطاء النباتي باستخدام تقنيات الاستشعار عن بعد ( مركز ناحية المزرعة أنموذجاً )
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تحتاج دراسة تغير استعمالات الأراضي إلى السرعة في الإنجاز كي تواكب التغيرات المتسارعة على الأرضف الطرق التقليدية في التحليل و التفسير البصري للمرئيات و الدراسة الميدانية تحتاج إلى الكثير من الوقت و الجهد لذلك تم تصنيف مجموعة مرئيات للتابع الأمريكي لاندسات ملتقطة بتواريخ مختلفة تصنيفاً آلياً ، و من ثم حساب مساحة كل غطاء\استعمال أراضي خلال الأعوام المدروسة ( 1990 ـــ 2000ـــ 2010 ) و مقارنة المساحات لمعرفة أهم التغيرات الحاصلة خلال تلك الفترة . كما سعى البحث إلى تحليل قيم الانعكاسية الطيفية للأهداف المختلفة و لكل طول موجة مستخدم في التصنيف بهدف تحديد الأطوال الموجية الأفضل في الفصل بين الأهداف .
Studying of land use changing Detection needs to the speed of implementation to convoy the changes on the ground. the traditional ways in the analysis and visual interpretation of the images and field studying need a lot of time and effort. So The objective of this search is to classify group images (Landsat TM , ETM+) taken in different dates automatically, and then to calculate the area of each land use/land cover, during the years studied (1990 -2000- 2010) and comparison areas to identify the most important changes occurring during that period.
References used
GOTEZ , S.J; Prince; S.P; THAWLEY, M.M ;SMIT , A.J.Applications of multitemporal land cover information in the Mid-Atlantic Region.2000
DMITRY, L.V; Wright, R . K; Goetz, S. J. Advances in land cover classification for applicationsresearch. a case study from the mid-Atlantic(RESAC) Department of GeographyUniversity of Maryland . 2006
HUI, Y. R .Development and evaluation of advanced classification systems using remotely sensed data for accurate land-use \land cover mapping . north Carolina state university 2002
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Al- Qusier region is important agricultural areas in Syria, and
contribute to cover a significant part of the agricultural needs of the country ,but it was suffering of poor land use in some locations.
This study aims to prepare maps of land use an
d land cover using
remote sensing and geographic information systems (GIS)
techniques, the study relied on SPOT-4 satellite images with spatial resolutions 10 m for (white–black) images and 20 m for color images.
The study found a view of results were the ability of remote sensing and geographic information systems in the production of accurate maps of land use/land cover and establish a digital database for spatial land use and land cover for Al- Qusier region.
In developing countries, where resources are often scarce, land availability, productivity potential, capability and sustainability for agriculture and, planning and maximizing the use of the land resources for a particular land utilization type is e
ssential. In order to ensure appropriate decision and, continued and sustainable productivity, thereby continuing to support the population economically without degradation, land use planning is essential. Remote sensing (RS) and geographic information systems(GIS) are useful tools in land use planning processes .in this study 4 landscape units (costal leveled plains ,valleys and channel bed, Piedmont :slight slopping ,moderately slopping ,sever slopping ,and Summit unit) were described and compared its characteristics with the land utilization requirements for 6 land utilization types (LUT1: irrigated citrus low mechanized ,LUT2: irrigated potato high mechanized ,LUT3: irrigated tomato medium mechanized,LUT4: rainfed olive low mechanized,LUT5:rainfed wheat low mechanized, LUT6:natural forests)by using LAMIS program .the results showed that43.07% of studied area is moderate suitability S3, 27.9% is low suitabilityS4 ,and 20.24% is unsuitable N1.the land suitability evaluation for LUT2 :35.18% good suitability S2 ,35.17% moderate suitabilityS3 and 20.24% low suitability S4 and for LUT3:50.97% good suitability S2,20.04% moderate suitabilityS3 and 20.24% low suitability S4. 43.07% of lands are very suitable S1 for LUT4 ,27.91% good suitability S2 and 20.24% moderate suitabilityS3.for LUT6 ; land suitability evaluation shown that 59.24% of lands are very suitable S1 and 31.93% good suitable S2.
Land use planning processes include matching between physical and socio-economic conditions by using Definite program .optimal land utilization types are determined depending on 3 multi-criteria ( costs ,gross margin , water requirements for irrigation) and according to two scenarios ( SC1:conservative scenario with concerned to water requirements , SC2:economic scenario with concerned to gross margin ).the results showed that LUT4 is the optimal current land use type of all three physiographic units (costal leveled plains ,valleys and channel bed and slight slopping).2 suggested land utilization types ( LUT7:irrigated kiwi low mechanized ,LUT8:irrigated groundnuts high mechanized) are proposed to costal leveled plains and compared with LUT4,comparison results shown that LUT4 is the optimal land use according to SC1 and LUT7 is the optimal land use type according to SC2.for valley and
channel bed unit , the optimal land use type according to SC1 is multiple land use type ( rainfed wheat under rainfed olive trees) and according to SC2 is LUT7.3 land utilization types(LUT7,LUT8,LUT9: rainfed lentil low mechanized)are suggested for slight slopping piedmont .the results of planning process showed that the optimal land use type is LUT4 for both scenarios SC1,SC2.
This study aims to show the land use changes during the period 1970 – 1991.
The study includes the city of Homs and the surrounding areas, with total
surface area of 9686 ha. To carry out this study, aerial photographs were used
where sets of diff
erent periods were taken, one was taken in 1970 with a scale of
1/20000, and the other set for the year 1991 with a scale of 1/15000, the two sets
of aerial photographs were interpreted and analyzed after the delineation of the
targets, and two maps were prepared after unifying the scales and selecting the
proper legend.
The results indicated obvious changes in land use, for example, the area of
cereals crops was in 1970 about 32.9 % of the total area and decreased by 11.8
% in 1991. In the area of gardens a reasonable increase was recorded, while in
the area of vineyards an increase of about 1 % was noticed.
But the big issue is the urban expansion at the expense of arable lands, the
expansion area of housing has been increased from 8% in 1970 to 24% in 1991,
and the area of civil establishments was increased from 2.27 % in 1970 to 5.47
% in 1991, in the new concept of desertification urban expansion at the
agricultural land means a permanent desertification, this matter should be
considered seriously and the necessary measurements must be taken into
account.
The research aimed to study vegetation change detection of Lattakia province by
using remote sensing techniques, By applicating Normalized Differences Vegetation Index
(NDVI) due to what these techniques had from quickly, accuracy, and completely.
In
addition to saving efforts and money. that change detection methods have showed by
applicating it on Sentinel2 images the plant situation, it's area and distribution in the
studied area.
In addition to knowing plant's cover changes through time passing. Putting geo
databases which benefit in knowing plant situation, and the periodicity supervision for it's
changes.
The yearly and monthly changes of vegetation cover have been studied in Lattakia
province, By making change detection for plants cover of march between (2016-2017).
Then making change detection between march and august of 2017. It was observed that
there were no big changes, Whether increasing or decreasing for plants cover when
studying the yearly changes. While there was big decreasing of plants cover at western
plain areas of province when studying the monthly changes between march and august due
to raising of temperatures. And big increasing of vegetation in high areas.
Optimum Index Factor (OIF) technique of statical analysis is fusion with Decision Tree Classification (DTC) method in determine the spectral critical value for separation the features in the image processing programs, and the architecture of this app
roach is designed for accuracy extracting the area and distribution urban from space image. Accuracy assessment of that approach is tested by comparing the supervised classification results for these feature from both the original bands of image and synthetical bands/indices of the image upon OIF value. Applied results of the approach on certain district represent the north Swaidaa city by Quick Bird image are: 98% for the suggested approach opposite 93% for supervised classification method of the synthetical bands image and 82% for original bands image. Accuracy of the approach is derived from exact separation the urban feature than similar spectrally objects in the image as basalt exposures and roads, where achievement of the other processing methods are less.
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