Journal of Radar and Optical Remote Sensing and GIS	: 5 (0)

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1 - Introduction

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2 - full text Volume1 Issue2

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3 - Inventory of Single Oak Trees Using Object- Based Method on WorldView-2 Satellite Images and on Earth
yousef taghi mollaei Abdolali Karamshahi Seyyed Yousef Erfanifard

Remote sensing provides data types and useful resources for forest mapping. Today,one of the most commonly used application in forestry is the identification of singletree and tree species compassion using object-based analysis and classification ofsatellite or aerial i More

Remote sensing provides data types and useful resources for forest mapping. Today,one of the most commonly used application in forestry is the identification of singletree and tree species compassion using object-based analysis and classification ofsatellite or aerial images. Forest data, which is derived from remote sensing methods,mainly focuses on the mass i.e. parts of the forest that are largely homogeneous, inparticular, interconnected) and plot-level data. Haft-Barm Lake is the case study whichis located in Fars province, representing closed forest in which oak is the valuablespecies. High Resolution Satellite Imagery of WV-2 has been used in this study. Inthis study, A UAV equipped with a compact digital camera has been used calibratedand modified to record not only the visual but also the near infrared reflection (NIR) ofpossibly infested oaks. The present study evaluated the estimation of forest parametersby focusing on single tree extraction using Object-Based method of classification witha complex matrix evaluation and AUC method with the help of the 4th UAV phantombird image in two distinct regions. The object-based classification has the highest andbest accuracy in estimating single-tree parameters. Object-Based classification methodis a useful method to identify Oak tree Zagros Mountains forest. This study confirmsthat using WV-2 data one can extract the parameters of single trees in the forest. An overall Kappa Index of Agreement (KIA) of 0.97 and 0.96 for each study site has been achieved. It is also concluded that while UAV has the potential to provide flexible and feasible solutions for forest mapping, some issues related to image quality still need to be addressed in order to improve the classification performance. Manuscript profile

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4 - Performance evaluation of FFT_PCA Method based on dimensionality reduction algorithms in improving classification accuracy of OLI data
Parviz Zeaiean Firooz Abadi1 Hasan Hasani Moghaddamb

Fusions of panchromatic and multispectral images create new permission to gainspatial and spectral information together. This paper focused on hybrid image fusionmethod FFT-PCA, to fuse OLI bands to apply Dimensionality Reduction (DR)methods (PCA, ICA and MNF) on this f More

Fusions of panchromatic and multispectral images create new permission to gainspatial and spectral information together. This paper focused on hybrid image fusionmethod FFT-PCA, to fuse OLI bands to apply Dimensionality Reduction (DR)methods (PCA, ICA and MNF) on this fused image to evaluate the effect of thesemethods on final classification accuracy. A window of OLI images from ArdabilCounty was selected to this purpose and preprocessing method like atmospheric andradiometric correction was applied on this image. Then panchromatic (band8) andmultispectral bands of OLI were fused with FFT-PCA method. Three dimensionalityreduction algorithms were applied on this fused image and the training data forclassification were selected from DRs Output. A total of eight classes include bareland, rich range land, water bodies, settlement, snow, agricultural land, fallow andpoor range land were selected and classified with support vector machine algorithm.The results showed that classification based on dimensionality reduction algorithmswas quite good on OLI data classification. Overall accuracy and kappa coefficient ofclassification images showed that ICA, PCA and MNF methods 86.9%, 89%, 96.8%and 0.84, 0.91, 0.96 respectively. The MNF based image classification has higherclassification accuracy between two others. PCA and ICA have lower accuracy thanMNF respectively. Manuscript profile

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5 - Detecting and predicting vegetation cover changes using sentinel 2 Data (A Case Study: Andika Region)
sedigheh emami esmail emami

The earth surface is itself a complex system, and land cover variation is a complexprocess influenced by the interference of variables. In this study, the data of Sentinel 2for 2017 and 2016 were processed and classified to study the changes in the Andikaarea. After dis More

The earth surface is itself a complex system, and land cover variation is a complexprocess influenced by the interference of variables. In this study, the data of Sentinel 2for 2017 and 2016 were processed and classified to study the changes in the Andikaarea. After discovering vegetation changes between two images over the mentionedtime, vegetation increased by 661.74 hectares. Multiple regressions have been used toidentify factors affecting vegetation changes. Multiple regressions can explain therelationship between vegetation changes and the factors affecting them. In order toinvestigate the factors affecting vegetation change, altitude data, distance from theroad, distance from residential areas of the village and river were introduced intoregression equation. Since this method uses three parameters such as Pseudo-R2 andRelative Operation Characteristic (ROC(, 0.23, and 0.696 values for the aboveparameters, which indicates that the model is in good agreement. The results ofregression analysis show that linear composition of height variable as independentvariables in comparison with other parameters has been able to estimate vegetationchange. Subsequently, by using two classified pictures of 2017 and 2016, the amountof vegetation changes was calculated, and Markov chain method was used for 2018forecast changes. Manuscript profile

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6 - Assessment of Remotely Sensed Indices to Estimate Soil Salinity
Naser Ahmadi Sani mohammad khanyaghma

Soil Salinization is one of the oldest environmental problems and one of the mainpaths to desertification. Access to information in the shortest time and at low cost isthe major factor influencing decision making. The satellite imagery providesinformation data on salini More

Soil Salinization is one of the oldest environmental problems and one of the mainpaths to desertification. Access to information in the shortest time and at low cost isthe major factor influencing decision making. The satellite imagery providesinformation data on salinity and also offers large amount of data that can be analyzedand processed to understand several indices based on the type of the sensor used. Inthis research, the capability of different indices derived from IRS-P6 data wasevaluated to identify saline soils in Mahabad County. The quality of the satelliteimages was first evaluated and no noticeable radiometric and geometric distortion wasdetected. The Ortho-rectification of the image was performed using the satelliteephemeris data, digital elevation model, and ground control points. The RMS errorwas less than a pixel. In this study, the correlation between the bands and used indices,including Salinity1, Salinity2, Salinity3, PCA1 (B2, B3), PCA1 (B4, B5), PCA1 (B1,B2, B3, B4, B5), Fusion (Pan and B2), Fusion (Pan and B3) and Fusion (Pan and B4)with EC were investigated. The highest correlation was related to the Fusion (Pan andB2) with a coefficient 0.76 and the lowest correlation was related to B4 with acoefficient 0.2. The results showed that the indices have a high ability for modeling,mapping and estimating the soil salinity. Manuscript profile

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7 - Geotectonic Critical Analysis with Emphasis on Active Remote Sensing (ASAR Sensor) Case study: Persepolis
Asghar Daneshmandi

The main reason for subsidence in Iran is the large amount of water withdrawn fromunderground resources, which, if not managed properly will cause irreparabledamages. To deal with such a problem, it is necessary to identify the subsidence areas.Most country's ancient ar More

The main reason for subsidence in Iran is the large amount of water withdrawn fromunderground resources, which, if not managed properly will cause irreparabledamages. To deal with such a problem, it is necessary to identify the subsidence areas.Most country's ancient artifacts have been built on fertile plains, and due to the drynessof the past decade, and the abundance of groundwater from the subsidence, itaccelerates the destruction of ancient works in these areas. In this research, the area ofPersepolis, which is 57 km northeast of Shiraz and 10 km north of Marvdasht city, isbased on the level of the land subsidence using differential radar interferometrytechnique. Using Eoli-SA 9.4.3 software, two images were taken from the ASVARdata series of the ENVISAT satellite. The data processing with SARSCAPE 4.3software, a radar differential interference method, has been implemented at twodifferent times in a region. A new image called an interferogram or interferometer wasprovided that contains the target geophysical information. Therefore, the amount ofsubsidence or uplift was determined in the three interlaced states. During the researchperiod from 23/12/2004 to 17/12/2009, which is 1820 days, it has been clear that theancient area of Persepolis, the historic city of the pool and the role of Rustam betweentwo and three centimeters subsided, and the role of Rajab is also between the four hasseen up to five centimeters of subsidence. Manuscript profile

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8 - Investigating the role of duality in geomorphology using radar data in Bahadoran plain of Yazd
Hamed Piri Abolqasem Amir Ahmadi Hamed Adab

Many varied attitudes exist about how the changes occur in the land-surface from thetime of William Davis’s research to the latest researchers in the history ofgeomorphologic philosophy and many different terms are used by scientists in order toobserve their ideas More

Many varied attitudes exist about how the changes occur in the land-surface from thetime of William Davis’s research to the latest researchers in the history ofgeomorphologic philosophy and many different terms are used by scientists in order toobserve their ideas related to geomorphic phenomena. The phenomenon of duality hasbeen seen less in the geomorphology field. There exist some contradictory phenomenain nature, but further investigation can show their correlation clearly. Durability can beconsidered as a better dynamic entropy. In this research, radar interferometrytechnique has been used in Yazd-Bahadoran area and the amount of subsidence anduplifting has been investigated Through field and library studies and the results havebeen compared with the other researchers' studies, which is a new concept in theliterature of geomorphology under geo-duality. The study results indicate that the mainreason for the subsidence was not to cut down the level of groundwater, and in thisregard the tectonic movements play a significant role. Also, the study shows asignificant relationship between subsidence in the Bahadoran plain and the collapse inadjacent heights in terms of duality or dichotomy. Manuscript profile

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