Volume 13 (2021)
Volume 12 (2020)
Volume 11 (2019)
Volume 10 (2018)
Volume 9 (2017)
Volume 8 (2016)
Volume 7 (2015)
Volume 6 (2014)
Volume 5 (2013)
Volume 4 (2012)
Volume 3 (2011)
Volume 2 (2010)
Volume 1 (2009)
علمی - پژوهشی
Comparison of Deep Learning and Cascade Classifiers Approaches for Object Detection in Autonomous UAV Landing

Behrooz Moradi; AbasAli Mehraban; Morteza Mohammadi

Volume 14, Issue 4 , December 2022, Pages 1-18

https://doi.org/10.29252/ijrsgis.2021.214028.0

Abstract
  Autonomous landing is a key challenging in the domain of UAV navigation systems. Developing an autonomous landing system requires a precise estimation of the UAV pose relative to landing marker, particularly in vision systems this involves precise Helipad recognition. It seems that traditional approaches ...  Read More

علمی - پژوهشی
A Review of Remote Sensing Methods in Identifying and Monitoring Forest Fires

Zohreh Roodsarabi; ali Sam Khaniani; Abbas Kiani

Volume 14, Issue 4 , December 2022, Pages 19-52

https://doi.org/10.52547/gisj.2021.220255.1002

Abstract
  Numerous studies on the phenomenon of fire over the past several decades have provided an extensive set of input data and implementation and evaluation methods. However, this vast array of results and research is structured to provide a roadmap to new users in the field and guidance on various applications ...  Read More

علمی - پژوهشی
Estimation of Maximum and Minimum Daily Air Temperature Using MODIS Surface Temperature Products

Mohammad Tavosi; Mehdi Vafakhah; Vahdi Moosavi

Volume 14, Issue 4 , December 2022, Pages 53-70

https://doi.org/10.52547/gisj.2021.222474.1036

Abstract
  Due to the importance of meteorological data and limitations of data gathering from ground stations, remote sensing can play an important role in the preparation of these data. The purpose of this study was to quantitatively evaluate the Land Surface Temperature (LST) obtained from Moderate Resolution ...  Read More

علمی - پژوهشی
The Effect of Different Cluster Sampling Schemes in Estimating the Quantitative Characteristics of Zagros Forests Using Sentinel 2 Sensor Images

Nastaran Nazariani; Asghar Fallah; Habibolah Ramezani Moziraji; Hamed Naghavi; Hamid Jalilvand

Volume 14, Issue 4 , December 2022, Pages 71-86

https://doi.org/10.52547/gisj.2021.222017.1024

Abstract
  Gathering accurate information for statistics requires high cost and precision. The time factor is also one of the important issues that should be seriously considered in statistics. Therefore, the use of sampling methods and satellite images will be a good alternative for this purpose. In the present ...  Read More

علمی - پژوهشی
Determining the Erosion and Sedimentation Using MPSIAC Model and GIS System in Khorkhoreh Watershed, Kurdistan, Iran

Ata Amini; mehdi Karami Moghadam; Mohammad Hossein Sedri; Somayyeh Kazemi

Volume 14, Issue 4 , December 2022, Pages 87-102

https://doi.org/10.52547/gisj.2021.215150.0

Abstract
  In recent years, with the change of use and development of agricultural lands in the country's basins, the rate of erosion and sediment production has increased. Given that in most sub-basins, the long term data of sedimentation stations have not been recorded, it is difficult to estimate the amount ...  Read More

علمی - پژوهشی
Sensitivity of Vegetation Dryness Index (VDI) to Reflectance of Different Shortwave Infrared Bands in Arid and Semi-Arid Regions (Case Study: Sistan & Baluchestan Province)

Kamal Omidvar; massumeh nabavi zadeh; Ahmad Mazidi; HamidReza Ghaffarian Malmiri; Peyman Mahmoudi

Volume 14, Issue 4 , December 2022, Pages 103-118

https://doi.org/10.52547/gisj.2021.215352.0

Abstract
  Drought monitoring is critical for early warning of drought hazard. This study  is  attempted to develop remote sensing drought monitoring index (VDI), based on Accuracy of different bands of Moderate Resolution Imaging Spectroradiometer data MODIS, VDI focuses about the vegetation water stress.  Spectral ...  Read More

علمی - پژوهشی
Evaluating Capability of Reflectance Spectrometry for Estimating the Wheat Chlorophyll and Nitrogen

Ali Sadeghi; saham Mirzaei; Saghar Chakherlou; Mehdi Gholamnia; Hossein Ali Bahrami

Volume 14, Issue 4 , December 2022, Pages 119-134

https://doi.org/10.52547/gisj.2022.225493.1074

Abstract
  Leaf chlorophyll and nitrogen, due to their important role in photosynthesis are among the major biological parameters of plant physiological status. The ability to quantify chlorophyll and nitrogen can provide important information for precision agricultural activities, plant and agricultural resource ...  Read More