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Open Access Article
1 - Study of Land Use Change Using Geographic Information Systems and Remote Sensing Techniques
Mehrdad Khanmohammadi Maryam Haghighi khomami Mohammad panahandeh Mahsa Abdoli LaktasaraeiIndeed, protected areas, national parks and biosphere reserves in general, are the natural heritage of each country. Therefore, knowledge of their changes plays an essential role in management of these areas. Remote sensing is one of the most advanced and effective tech MoreIndeed, protected areas, national parks and biosphere reserves in general, are the natural heritage of each country. Therefore, knowledge of their changes plays an essential role in management of these areas. Remote sensing is one of the most advanced and effective technology for monitoring environmental changes and resource management. The purpose of this research is to detect the land use /cover changes in Bojagh National Park in Guilan province during 2000-2017. For this purpose, the images of ETM+ sensor from the landsat 7 were taken in the year 2000 and the images of OLI sensor from the landsat 8 were taken in the year 2017. After applying the necessary preprocessing on the images, the training points were selected for each user class in sufficient number and with appropriate processing then, the land use / cover map was produced using the supervised classification method with maximum likelihood algorithm. Using the Overall accuracy test and Kappa coefficients, accuracy of the produced maps was determined. The results of the study indicated that the areas of the sea, grassland and the areas of the waterbody parts has decreased and the areas of the agricultural, marshland, man-made, woody and bare lands users show an increase during the study period. Manuscript profile -
Open Access Article
2 - Investigation of forest land use degradation due to dam construction using satellite images processing
mandana azizi Mohammad panahandehIdentify land uses and land use changes to investigate and monitor sensitive areas is essential for sustainable land planning and management. The main objective of this study is to investigate the land use changes caused by the construction of Shafarood Dam in the Hyrca MoreIdentify land uses and land use changes to investigate and monitor sensitive areas is essential for sustainable land planning and management. The main objective of this study is to investigate the land use changes caused by the construction of Shafarood Dam in the Hyrcanian forests in the north of Iran during a 17-year period using Landsat satellite imagery. To do this, three satellite imagery of the years 2000, 2013 and 2017 were used, and the corrections (geometric and atmospheric) were applied on the images and the map of the land use for each section in the region was prepared using the classification method of the maximum likelihood that the produced map have Kappa coefficient more than 86% and usage accuracy of 0.83. After classification, the comparison method was used to monitor the land use changes. The results revealed that in every three years, the most land cover of Shafarood watershed belongs to the forest class and in the next rank belongs to the rangeland class. As a result, the continuous decline of the forest class accured from 63.05 percent to 57.27 and 57.22 percent in the first section for the years 2013 and 2017 respectively. The continuous increase of the rock class (8.15-9.10-10.45) and bare lands (3.5- 4.47-5.08%) confirms it in the study area. Environmental challenges of constructing the Shafaroud dam is another emphasis on the importance of conducting advanced and specialized studies based on ecological methodologies and also increasing the decision makers awareness of Hyrcanian forests complexity which has formed in a very long-time period. Manuscript profile -
Open Access Article
3 - Monitoring and determination of the urban green coverage threshold based on Landsat data, Case study: Zones 1 and 6 from Shiraz city
hadi abdolazimi Hosein RoostaChanging the use of urban green cover over time can create various environmental hazards for the citizens of a city. Due to the importance of the subject, the present study intends to investigate the temporal and spatial changes of green cover in areas 1 and 6 of Shiraz MoreChanging the use of urban green cover over time can create various environmental hazards for the citizens of a city. Due to the importance of the subject, the present study intends to investigate the temporal and spatial changes of green cover in areas 1 and 6 of Shiraz metropolis using Landsat satellite images during five decades (1972 to 2019). For this purpose, after performing radiometric and atmospheric corrections, maps resulting from plant indices including NDVI, SAVI, OSAVI as well as the maximum likelihood algorithm were prepared in ENVI5 software and classified and evaluated in Spatial Information System (GIS). The results of this study showed that the area of the green cover in region 1 has decreased in terms of hectares in NDVI, SAVI, OSAVI indices respectively and also in the maximum likelihood algorithm has decreased from 1394 to 428, from 789 to 421, from 815 to 419, from 1402 to 439, respectively and in region 6 was decreased from 1374 to 858 (NDVI), from 1160 to 862 (SAVI), from 1149 to 884 hectares (OSAVI) and in the algorithm, the maximum likelihood of similarity has decreased from 1393 to 855 hectares. Investigation of threshold values of plant indices to identify urban green cover showed that the range of threshold values in NDVI was variable from 0.2 to 0.3, in SAVI was variable from 0.44 to 0.47 and in OSAVI was variable from 0.34 to 0.36 and using Pearson test in SPSS software, correlation coefficient values between NDVI, SAVI, OSAVI, maximum likelihood algorithm and the studied years were significant at the 1% level. The results of this test also indicated that there was no significant difference between the results of these methods in this study. This reduction of green cover is considered a serious danger for the citizens of Shiraz. Manuscript profile -
Open Access Article
4 - Investigation and prediction on Forests Covers Changes Using Fuzzy Object-Based Satellite Image Classification and CA-Markov (case study: City of Romeshkan)
Rahman Zandi Hajar Shehabi Ebrahim AkbariForest is a valuable heritage and one of the important factors in the ecosystem of each area that in addition to using and exploiting them, they should be preserved. Zagros’ forests, especially in Lorestan province due to negligence have been destroyed throughout past y MoreForest is a valuable heritage and one of the important factors in the ecosystem of each area that in addition to using and exploiting them, they should be preserved. Zagros’ forests, especially in Lorestan province due to negligence have been destroyed throughout past years. The aim of this research is to investigation, detect and modeling Romeshkan’s forests’ cover changes. To do this, first changes that were taken place between 1987-2017 were extracted by satellite Landsat images and using Fuzzy Object-Based classification method, then, were classified in 5 classes (Agriculture, Forest, Range, water and Residential). Finally, classification results show that there is a sharp decrease of forested areas (81.17 km2) and an increase of Range and Farmlands over past 30 years in the forest area. In a period of 1987-2002 forest cover of the study area had not faced major changes, but most of the rangelands turned to farmlands. While in the second period from 2002 onwards forest cover dramatically dipped and its area decreased from 122.58 km2 to 43.42 km2 in 2017, which the rate of forest covers decrement was around 79.16 km2. Moreover, in order to predict forest cover changes in the future CA-Markov model was applied that indicates 10.70% of current forest covers will be reduced in 2030, and the main changes will be occurred between forest classes to farmlands and rangelands classess by 6.901 and 9.172 km2, respectively. Manuscript profile -
Open Access Article
5 - Assessment of Spatial and temporal changes in land use using remote sensing (case study: Jayransoo rangeland, North Khorasan)
Mohabat Nadaf Reza Omidipour Hossein SobhaniAwareness of changes process, as well as the proper management of land use in natural ecosystems, is of great importance in conservation natural resources. In this regard, the use of remote sensing has become a common approach due to the provision an extent spatial and MoreAwareness of changes process, as well as the proper management of land use in natural ecosystems, is of great importance in conservation natural resources. In this regard, the use of remote sensing has become a common approach due to the provision an extent spatial and temporal information. In this research, in order to land use mapping, first, the accuracy of three common methods of pixel-based (maximum likelihood), machine learning (support vector machine) and object-oriented methods were compared. Then, the spatial and temporal changes of land use in a period of 26 years (1997-2023) assessed using six Landsat satellite imagery. The accuracy of image classification methods was evaluated using Kappa coefficient and overall accuracy indices and the change trend was evaluated using crosstab and spatial evaluation methods. Based on the results, the support vector machine method had the highest kappa coefficient (0.71 to 0.98) and overall accuracy (86 to 99%) for all studied courses. According to the results, poor rangeland had a decreasing trend, and the land uses of very poor rangeland, bare soil, and rainfed agriculture had increasing trends. The area of poor rangeland decreased from 962 hectares (44.36%) in 1997 to 489 hectares (22.57%) in 2023, while very poor rangeland increased from 1138 hectares (52.48%) to 1606 hectares (74.05 percent) in the same period. The results of this research indicated that the trend of land use changes in Jayransoo rangeland is towards the destruction of rangelands and with the passage of time this trend is intensifying. Also, based on the results obtained from this research, it is suggested to use machine learning based classification method to prepare land use mapping in future research. Manuscript profile -
Open Access Article
6 - Study of Urban Development and Vegetation Changes in Mazandaran by Change Vector Analysis to Protection and Landscape Management Improvement
niloufar islamzadehMazandaran province has always been considered by tourists due to its high tourism potential. Therefore, in order to satisfy the people and tourists, urban development has been expanded there. In addition, the relative increase in population, the development of industri MoreMazandaran province has always been considered by tourists due to its high tourism potential. Therefore, in order to satisfy the people and tourists, urban development has been expanded there. In addition, the relative increase in population, the development of industries, the problem of solid waste and wastewater, habitat destruction, energy, transportation and agriculture demand have affected the environment of Mazandaran. On the other hand, it has a high rate of vegetation degradation. Monitoring of land use and land cover changes play an important role in urban planning and landscape management. The main purpose of this study is to investigate the changes of Mazandaran province landscape using the time series of satellite data from 1988 to 2018 in order to plan for better management to protect the landscape and control development and destruction. In this study, urban development and vegetation changes of Mazandaran province were studied using Landsat satellite images by Change Vector Analysis method in each city over a period of 30 years. The results showed that the rate of urban development and vegetation degradation change in the study period is increasing in the province. The high rate of urban development changes in terms of percentage of area is related to the cities of Babolsar, Nowshahr and Chalous, includes 21, 15 and 11% of their total area, respectively. These three cities have the highest number of tourists per year and the highest number of villas. The high rate of destruction of deforestation in terms of area related to Sari, Neka and Behshahr, in the east of the province, includes 27, 11 and 7 hectares, respectively. The change vector analysis method has the ability to satisfactorily reveal and classify all types of changes in magnitude and direction in the landscape. Manuscript profile
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