The aim of the research was to clarify the pre-processing steps required for satellite images
before starting to analyze and extract data from them using the ENVI program.
Radiometric and topographic correction applied to the Landsat image 2017, an
d then we
calculated the NDVI index for this image before and after applying pre-processing.
The results showed a difference in the spectral values of the image before and after the
radiometric correction, especially in near infrared band. The reflection values were
recorded in the original image between (40-50) and (300-3500) in the corrected image. The
difference in the reflection values after the topographical correction was also visible on the
near- infrared and infrared bands, especially in the points where shadows of the terrain.
Differences in the values of NDVI for 2017 were observed before and after the application
of pre-processing on the image, especially in points of good and very good vegetation
coverage with high values of the index.
The study concluded that it is important to follow the minimum number of steps required
for preprocessing steps in order to avoid unnecessary steps and recommend well tested,
readily available, and adequately documented data approaches and data products.
This study aimed at opening discussions concerning new ideas of suggesting sustainable scenario based on the principle of an integrated spatial development ring between urban-rural areas along and between AL-Abrash and AL- Hseen rivers watershed, as
an application of the bottom-up planning model, seeking to achieve ruralization in parallel with urbanization. This paper adopted data collections and analysis through using a step-by-step approach. Firstly, investigated the land-cover change (LCC) during 30-years. Therefore, using multi-temporal satellite data from different dates for the same study area to create thematic land cover maps which can be used for land cover change detection. Three Landsat satellite images from1987, 2002 and 2017 were classified separately using the supervised classification method in ArcGIS, to provide an economical way to quantify, map and analyse changes over time in land cover. Then, SWOT analysis for the possibilities and determinants within the two-way flow of the current and futuristic economic activity, besides discussion the opportunities of the land-use (LU) taking into account slop map to achieve conservation priority for natural resources. Finally, evaluate results and establishing a sustainable spatial scenario approachable to upgrade into scaling up/out to covering the coastal region watersheds, can support regional planning and decision-making in the future.
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 aimed to development the appropriate sustainable
management of the irrigated lands based on Remote Sensing and
Geographic Information System techniques in Alaşehir-Akkeçili
collective irrigation system. Some properties like the soil structure,
land classes, sub-class properties, salinity, sodium, drainage
capability, soil depth, infiltration, hydraulic conductivity, as well as
the features of current land use, water requirements, the amounts of
water that has to be distributed by irrigation system, and climate
conditions were evaluated by the Geographic Information System
(GİS) and a database based on the land ownership was created.
In our research we studied and analyzed the different types of
methods used for automatic building detection from the satellite
images, then, we proposed a general methodology for building
detection based on its geometrical boundary features using Hough
transform for the rectangular forms.
This study concentrates the use of remote sensing and geographic
information systems to identify prospective areas for water
harvesting, This study concentrates on the identification of the
potential areas for water harvesting projects in Hessia a
nd the
adjacent areas, within a total area of 1300 km2.
The data and information for the study area are collected from
different sources and satellite images. The thematic maps and
digital database were prepared through analysis and visual and
automatic interpretation of satellite images, and analysis and
intersections between different layers were procedure in order to
apply the criteria that are used in these studies to determine
optimal and typical sites for the establishment of preparation water
harvesting.
The result of this study shows the efficiency of using the remote
sensing techniques and the geographic information system in the
identification of the potential areas for water harvesting projects.
Remote sensing technique is considered as one of the main sciences that grew very
fast last years. Satellite images are important and advanced source to get data about any
region on the earth. Using satellite images, integrated with geographic info
rmation system
(GIS) for mapping are considered as one of the modern applications that expanded widely
now a days.
This paper aims at integrating the techniques of remote sensing and geographic
information systems (GIS) for performing topographic study of landsat7 satellite image
taken of a part of northern part of Lattakia. The two software, Erdas Imagine and ArcGIS
are used to perform topographic analysis depending on digital processing for the image,
then analyzing its terrain. Depending on digital terrain model (DTM), 3D slope image is
derived. Land use map is written for the study area. Then, some spatial analysis are
performed to find the best positions to construct different projects that have economic
benefits.
finally, analyses and results are discussed.
This paper presents the Change vector analysis (CVA) approach for detecting and
characterizing radiometric change in multispectral remote sensing data sets
The dynamic changes of the land use/land cover were studied in lattakia city by
using two E
TM-Landsat-7 scenes, for the years 2000, and 2010, and the spatial resolution
of those two images was 15 m. The CVA algorithm has been applied and produced two
‘channels’ of output change information multispectral change magnitude and change
vector direction in land use/land cover during this period. Two models have been built
within ERDAS Imagine 8.6 software to perform the algorithm and evaluate the positive
and negative changes and analyze the the human impacts on the land use/ land cover
change.
This method can be applied to various fields of study in order to generate maps
represent the continuous development of land use and land cover. These maps can be
significantly useful for the regional and urban planning and natural resource management,
in light of the great expansion of urban areas at the expense of green spaces and
uncontrolled use of the land.
Studying and drawing the soil maps is considered by using the way of data
integrating the remote sensing and the geographical information system of new and
developed technologies in which we define what all related to soil through these studies
an
d drawing maps to it for example
a possibility of drawing the following maps:
1- Drawing a map of situation and the materials of soil surface.
2- Drawing a map of difference of soil colors sensing the soil content of organic
matter.
3- A map of lands declination and their salinity and efficiency of drainage in them.
4- Drawing a map of drainage.
In the research performing and drawing the up mentioned soil maps for south-west of
Hama region by using the new technologies which they have opened for us many horizons
in all domains related to many subjects particularly, the subject of this research .
This study was related to the urban development of Homs City and
its surrounding between 1972 – 2010 by using remote sensing
technique and geographic information system. The results of the
study indicated that the size of the city was increased 60
0% times ,
randomly and eliminating most of crop lands.
