Gökçe, Tolga (author)
An algal bloom is defined as a rapid increase in common algae (phytoplankton) abundance in water bodies and it can occur when a group of certain environmental factors is combined. If the algae populations grow out of control, such algal blooms become problematic and cause damage to the ecosystem, such phenomena are called harmful algal blooms. For ...
Ghaffarpasand, Omid Ropkins, Karl Beddows, David C S Pope, Francis D
Published in
The Science of the total environment
It is often assumed that a small proportion of a given vehicle fleet produces a disproportionate amount of air pollution emissions. If true, policy actions to target the highly polluting section of the fleet could lead to significant improvements in air quality. In this paper, high-emitter vehicle subsets are defined and their contributions to the ...
PEREIRA, F. R. da S. REIS, A. A. dos FREITAS, R. G. OLIVEIRA, S. R. de M. AMARAL, L. R. do FIGUEIREDO, G. K. D. A. ANTUNES, J. F. G. LAMPARELLI, R. A. C. MORO, E. MAGALHÃES, P. S. G.
...
In this study, we propose a methodological framework to impute missing parts of UAV orthomosaics using PlanetScope (PS) and Sentinel-2 (S2) data and the random forest (RF) algorithm of an integrated crop?livestock system (ICLS) covered by grass at the time.
Moosavi, Vahid Karami, Ayoob Aliramaee, Ramyar
Published in
The Science of the total environment
A good knowledge in eco-hydrological processes requires significant understanding of geospatial distribution of soil moisture (SM). However, SM monitoring remains challenging due to its large spatial variability and its dynamic time response. This study was performed to assess the performance of a particle swarm optimization (PSO)-based optimized C...
Adnan, Mohammed Sarfaraz Gani Siam, Zakaria Shams Kabir, Irfat Kabir, Zobaidul Ahmed, M Razu Hassan, Quazi K Rahman, Rashedur M Dewan, Ashraf
Published in
Journal of environmental management
Globally, many studies on machine learning (ML)-based flood susceptibility modeling have been carried out in recent years. While majority of those models produce reasonably accurate flood predictions, the outcomes are subject to uncertainty since flood susceptibility models (FSMs) may produce varying spatial predictions. However, there have not bee...
Ardaneh, Kazem Nishikawa, Ken-Ichi Giust, Remo Morel, Benoit Charpin, Pierre-Jean Couairon, Arnaud Bonnaud, Guy Courvoisier, Francois
Electromagnetic radiation within the terahertz (THz) frequency range is of great interest for applications in remote sensing and time-domain spectroscopy. The laser-induced plasmas are promising mediums for generating THz radiation. It has been recently reported that focusing femtosecond Bessel pulses inside dielectrics induces a high aspect ratio ...
Debaeke, P. Attia, F. Champolivier, Luc Dejoux, Jean-François Micheneau, Arnaud Bitar, A. Al Trépos, R.
Forecasting crop production a few weeks before harvest is of strategical interest for the cooperatives which collect, store and market grains. The recent development of Sentinel satellites opened new avenues for yield forecasting at field and farm level, thanks to their operational spatial resolution and revisiting time. In this study, we combined ...
Mijani, Naeim Karimi Firozjaei, Mohammad Mijani, Moein Khodabakhshi, Adeleh Qureshi, Salman Jokar Arsanjani, Jamal Alavipanah, Seyed Kazem
Published in
Advances in space research : the official journal of the Committee on Space Research (COSPAR)
COVID-19 pandemic has had a major impact on our society, environment and public health, in both positive and negative ways. The main aim of this study is to monitor the effect of COVID-19 pandemic lockdowns on urban cooling. To do so, satellite images of Landsat 8 for Milan and Rome in Italy, and Wuhan in China were used to look at pre-lockdown and...
Mehravar, Soroosh (author) Razavi-Termeh, Seyed Vahid (author) Moghimi, Armin (author) Ranjgar, Babak (author) Foroughnia, Fatemeh (author) Amani, Meisam (author)
Flood has long been known as one of the most catastrophic natural hazards worldwide. Mapping flood-prone areas is an important part of flood disaster management. In this study, a flood susceptibility mapping framework was developed based on a novel integration of nature-inspired algorithms into support vector regression (SVR). To this end, various ...
Liu, Haixin Zhang, Anbing Zhao, Yuling Zhao, Anzhou Wang, Dongli
Published in
Environmental science and pollution research international
Estimating the grass yield of a grassland area is of vital theoretical and practical significance for determining grazing capacity and maintaining ecological balance. Due to the spatial inconsistency between sampling and remote sensing data, improving the accuracy of fresh grass yield (FGY) estimation based on remote sensing is difficult. Using veg...