Search Results - "Darvishsefat, A. A"
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Land use change modeling through an integrated Multi-Layer Perceptron Neural Network and Markov Chain analysis (case study: Arasbaran region, Iran)
Published in Journal of forestry research (01-06-2019)“…Temporal land use/land cover (LULC) change information provides a variety of applications for informed management of land resources. The aim of this study was…”
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Enhancing Hyrcanian Forest Height and Aboveground Biomass Predictions: A Synergistic Use of TanDEM-X InSAR Coherence, Sentinel-1, and Sentinel-2 Data
Published in IEEE journal of selected topics in applied earth observations and remote sensing (01-01-2024)“…Forest height (FH) is an important driver for aboveground biomass (AGB) that can be obtained using interferometric SAR (InSAR). However, the limited access to…”
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Object-based classification of hyperspectral data using Random Forest algorithm
Published in Geo-spatial information science (03-04-2018)“…This paper presents a new framework for object-based classification of high-resolution hyperspectral data. This multi-step framework is based on…”
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VEGETATION DYNAMICS TREND USING SATELLITE TIME SERIES IMAGERY
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (18-10-2019)“…In this study, the trend of vegetation dynamics in Kermanshah city assessed using NDVI MOD13Q1 product over the time period of 2000–2017. Based on time series…”
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Journal Article Conference Proceeding -
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Calibration of FARSITE simulator in northern Iranian forests
Published in Natural hazards and earth system sciences (06-03-2015)“…Wildfire simulators based on empirical or physical models need to be locally calibrated and validated when used under conditions that differ from those where…”
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Using AVHRR-based vegetation indices for drought monitoring in the Northwest of Iran
Published in Journal of arid environments (01-06-2008)“…In order to evaluate the capability of NOAA-AVHRR data for drought monitoring in the northwest of Iran having cold semi-arid climate, a study plan was designed…”
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Multi-Sensor Aboveground Biomass Estimation in the Broadleaved Hyrcanian Forest of Iran
Published in Canadian journal of remote sensing (02-11-2021)“…In this study, the capability of Landsat-8 (L8), Sentinel-2 (S2), Sentinel-1 (S1), and their combination was investigated for estimating aboveground biomass…”
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SHIFTS OF START AND END OF SEASON IN RESPONSE TO AIR TEMPERATURE VARIATION BASED ON GIMMS DATASET IN HYRCANIAN FORESTS
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (26-09-2017)“…Climate change is one of the most important environmental challenges in the world and forest as a dynamic phenomenon is influenced by environmental changes…”
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Mapping Lorey's height over Hyrcanian forests of Iran using synergy of ICESat/GLAS and optical images
Published in European journal of remote sensing (01-01-2018)“…Lorey's height, representative of mean height in uneven-aged forest stands, is a valuable parameter for forest ecosystem management. While in situ measures…”
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INVESTIGATING THE CAPABILITY OF IRS-P6-LISS IV SATELLITE IMAGE FOR PISTACHIO FORESTS DENSITY MAPPING (CASE STUDY: NORTHEAST OF IRAN)
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (30-07-2012)“…In order to investigate the capability of satellite images for Pistachio forests density mapping, IRS-P6-LISS IV data were analyzed in an area of 500 ha in…”
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A GIS-MCE based model for forest road planning
Published in Journal of forest science (Praha) (01-04-2009)“…The objective of this study was to develop a method using GIS and Multi-criteria Evaluation (MCE) to design a forest road network with the lowest construction…”
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An improved algorithm for small and low-intensity fire detection in the temperate deciduous forests using MODIS data: a preliminary study in the Caspian Forests of Northern Iran
Published in Natural hazards (Dordrecht) (01-03-2023)“…The past five decades have witnessed satellite remote sensing become one of the most efficient tools for fire detection and estimating total burned areas. Not…”
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Investigation on the possibility of beech forest type mapping using Landsat ETM+ data (case study: Khyrood forest)
Published in Majallah-i jangal-i Īrān (Online) (01-08-2009)“…In order to investigate the possibility of beech forest type (Fagetum) mapping using Landsat ETM+, its data from Chelir district (780 ha) in Khyrood forest,…”
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Simulating urban growth in Mashad City, Iran through the SLEUTH model (UGM)
Published in Cities (01-02-2009)“…Mashad is the capital city of Khorasan Razavi Province, in the North East of Iran. The city has witnessed rapid growth in the last two decades, mostly because…”
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Capability of GLAS/ICESat Data to Estimate Forest Canopy Height and Volume in Mountainous Forests of Iran
Published in IEEE journal of selected topics in applied earth observations and remote sensing (01-11-2015)“…The importance of measuring forest biophysical properties for ecosystem health monitoring and forest management encourages researchers to find precise, yet…”
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Forest type mapping using incorporation of spatial models and ETM+ data
Published in Pakistan journal of biological sciences (15-07-2007)“…Results of former researches have shown that spectrally based analysis alone could not satisfy forest type classification in mountainous mixed forests. Forest…”
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Evaluating fire modelling systems in recent wildfires of the Golestan National Park, Iran
Published in Forestry (London) (01-04-2016)Get full text
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Lorey's height regression for ICESAT-GLAS waveforms in hyrcanian deciduous forests of Iran
Published in 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (01-07-2015)“…Since Lidar technology provides the most direct measurements of 3D of phenomena, it plays a critical role in a variety of applications. Forest canopy height as…”
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Conference Proceeding -
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Using AVHRR-based vegetation indices for drought monitoring in the Northwest of Iran
Published in Journal of arid environments (2008)Get full text
Journal Article