Zobrazeno 1 - 10
of 83
pro vyhledávání: '"M. R. Delavar"'
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-W1-2023, Pp 501-508 (2023)
Air pollution is a major environmental issue in urban areas, and accurate forecasting of particles 10 μm or smaller (PM10) level is essential for smart public health policies and environmental management in Tehran, Iran. In this study, we evaluated
Externí odkaz:
https://doaj.org/article/0b2b722854c640bc8880f37715b8295d
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-W1-2023, Pp 493-500 (2023)
Groundwater is one of the most important sources of regional water supply for humans. In recent years, several factors have contributed to a significant decline in groundwater levels (GWL) in certain regions. As a result of climate change, such as te
Externí odkaz:
https://doaj.org/article/6b658c0683f14610a722802a2533a6ea
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 129-136 (2023)
Land subsidence (LS) is one of the most challenging natural disasters that has potential consequences such as damage to infrastructures and buildings, creating sinkholes, and leading to soil destruction. To mitigate the damages caused by LS, it is ne
Externí odkaz:
https://doaj.org/article/93b9ec6adb6e4732a03a93215b91a1bb
Autor:
M. Ganjirad, M. R. Delavar
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 201-208 (2023)
Floods are among the natural disasters that cause financial and human losses all over the world every year. By production of a flood risk map and determination of potential flood risk areas, the possible damages of this phenomenon can be reduced. To
Externí odkaz:
https://doaj.org/article/b47ad99c26ef45b2b11abc8d4af6993c
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 241-248 (2023)
Floods have caused significant socio-economic damage and are extremely dangerous for human lives as well as infrastructures. The aim of this study is to use machine learning models including regularized random forest (RRF) and Naïve Bayes (NB) algor
Externí odkaz:
https://doaj.org/article/6ac44f08c95f48cc94feb06c5c1caa45
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 263-269 (2023)
Cadastral and urban map enrichment/upgrading is an essential requirement for smart urban management. The high pace of development and change in megacities can cause different challenges for urban organizations to reproduce their maps based on their n
Externí odkaz:
https://doaj.org/article/ea2267ae9288417fb9169ed679b46150
Preface: Workshop 'ISSDQ 2023: Artificial Intelligence and Uncertainty Modeling in Spatial Analysis'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1989-1990 (2023)
Externí odkaz:
https://doaj.org/article/4979c45e912d4ae9b825d7b0650bc857
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-4-2022, Pp 49-55 (2022)
Estimating real estate prices helps to adapt informed policies to regulate the real estate market and assist sellers and buyers to have a fair business. This study aims to estimate the price of residential properties in District 5 of Tehran, Capital
Externí odkaz:
https://doaj.org/article/5396ca9dfb6a47b69ccbbca687242202
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-4-2021, Pp 25-32 (2021)
Electromagnetic phenomena, especially those in the Very Low Frequency/Low Frequency (VLF/LF) bands are promising for short-term earthquake prediction. Seismo-ionospheric perturbations cause a variety of changes in different receiver-transmitter VLF/L
Externí odkaz:
https://doaj.org/article/e64c96132a904327940106862629cde1
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2020, Pp 321-327 (2020)
One of the main problems of rescue workers in confrontation of fired complex buildings is the lack of sufficient information about the building indoor environment and their emergency exit ways. Building information modeling (BIM) is a database for bu
Externí odkaz:
https://doaj.org/article/9cba21a5cec54995bf2d45f83e1e90ea