- Soil and Land Suitability Analysis
- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Groundwater and Watershed Analysis
- Plant Ecology and Soil Science
- Multi-Criteria Decision Making
- Groundwater and Isotope Geochemistry
- Aeolian processes and effects
- Rangeland Management and Livestock Ecology
- Recreation, Leisure, Wilderness Management
- Soil erosion and sediment transport
- Agricultural and Rural Development Research
- Geochemistry and Geologic Mapping
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Environmental Changes in China
- Plant Ecology and Taxonomy Studies
- Water resources management and optimization
- Urban Green Space and Health
- Hydrology and Watershed Management Studies
- Atmospheric aerosols and clouds
- Atmospheric chemistry and aerosols
University of Tehran
2016-2024
Desert Research Institute
2016
Since in most mapping models geometric mean of different criteria are used to determine the desertification intensity, one important issues studies is understanding similar areas, which require management after determining intensity map. Two classes may due differences that affect its severity. Therefore, geomorphological facies as working units Sistan plain, we hierarchical cluster analysis identify homogeneous environmental (HEMUs) based on indices MEDALUS model. According model, studied...
Executive practices on desertification control should be based recognizing the current state and its severity.So, it is essential to assess ways give zoning logic, active principles, theoretical foundation for management of desert regions.For this aim, 30 useful indices were determined in two human natural sections.The significance relative each other index's importance per work unit was using Delphi method.The Bonissone method framework Fuzzy Multiple Attribute Decision Making (FMADM) used...
Abstract Although land degradation (LD) is known as a severe environmental problem, spatial predictive modelling of this phenomenon remains challenge. This research aimed to develop new conceptual framework predict LD susceptibility based on net primary production (NPP) and machine learning approaches. The annual NPP over the period 2001–2020 were obtained using MOD17A3 trend changes was considered investigate occurrence sites within Qazvin Plain, in Province, Iran, under semiarid climate,...
According to the extent of damage, various effects and complexity desertification process, selecting appropriate alternatives considering all effective criterions is one main concerns Iran in field natural resources. This can be controlling, reclamation disturbed lands avoiding destruction areas at risk. paper tries provide a systematic optimal group decision-making model. For this aim, PROMETHEE II method was used for ranking alternatives. At first framework Multiple Attribute...
Land degradation (LD) is a significant environmental issue that needs to be spatially mapped in different areas. This research provides framework prioritize the geo-environmental and anthropogenic factors on LD semi-arid region, Qazvin Plain, Iran based maximum entropy model for first time also produce hazard map. The inventory map shows occurrence points of was prepared decreasing trend net primary productivity (NPP) over 20 years. 120 random were selected as degraded sites where NPP showed...
The purpose of this study was to develop new methods describe outdoor recreation potential based on landscape indicators and systemic multicriteria evolution in the Tamarix forest reserves Varamin city, a part Iranian–Turanian forests Tehran province Iran. First, conducting evaluation, ecological factors that included slope, aspect, elevation, vegetation density, precipitation, temperature, soil texture were mapped, classified, coded according degree desirability for recreation. All these...
Abstract. Desertification phenomenon is described as one of the most obvious forms natural resources degradation in world. This phenomenon, which occurs because factors or anthropogenic factors, accounted third important global challenge after crisis water shortage and drought 21st century. Awareness desertification criteria indicators, investigation a regional model determining affecting are essential for combating desertification. So this study, IMDPA (Iranian Model Potential Assessment)...
The study of the groundwater resources and their properties are very important due to vast desert areas arid conditions. Given current situation in Iran, water supply is one most territorial environmental problems. In this study, were surveyed mapped Yazd Province modeled determine effectiveness for grazing agricultural activities. main objective was develop establish geoinformatics cartographic monitoring meteorological data formation. Also, climatic characteristics evaluated as...
Abstract. Desertification is the third most important global challenge after crisis of water shortage and drought in 21st century. Many countries, especially developing are faced this phenomenon. Identifying regions exposed to phenomenon so for combating desertification. Regarding importance phenomenon, study, we assessed desertification Kashan, Iran, using IMDPA model GIS software. According region condition, was selected as criterion some indices were identified it. For monitoring, effect...
Compared to surface water, groundwater resources are the primary source of water supply in arid and semi-arid regions Iran, hence importance management these . In this regard, we assessed effects landuse changes on qualitative quantitative status Eshtehard region, Iran. Through processing analyzing satellite images, region was divided into six different land uses, namely agricultural lands, Haloxylon planted area, bareland, saline rangelands, urban areas; maps pertaining uses were then...
The present research aimed to develop a new conceptual framework predict land degradation (LD) susceptibility based on net primary production and machine learning domains. annual NPP maps related 2001-2020 were obtained using MOD17A3 the trend of changes was taken into account investigate occurrence non-occurrence sites in region under semi-arid climate Iran. An inventory map LD generated locations degradation. randomly separated as training (70%) testing (30%) dataset evaluate...