Detecting drought events over Iran during 1983–2017 using satellite and ground-based precipitation observations

M Kazemzadeh, Z Noori, H Alipour, S Jamali… - Atmospheric …, 2022 - Elsevier
Timely and accurate detection of drought events using reliable data with continuous spatial
coverage is of great importance to adapt efficient mitigation strategies. Despite several …

Satellite-based meteorological drought indicator to support food security in Java Island

S Siswanto, KK Wardani, B Purbantoro, A Rustanto… - PloS one, 2022 - journals.plos.org
A meteorological drought refers to reduced rainfall conditions and is a great challenge to
food security. Information of a meteorological drought in advance is important for taking …

Remote Sensing Monitoring of Drought in Southwest China Using Random Forest and eXtreme Gradient Boosting Methods

X Li, H Jia, L Wang - Remote Sensing, 2023 - mdpi.com
A drought results from the combined action of several factors. The continuous progress of
remote sensing technology and the rapid development of artificial intelligence technology …

Sequential Bayesian Registration for Functional Data

Y Kim, OA Chkrebtii, SA Kurtek - arXiv preprint arXiv:2203.12005, 2022 - arxiv.org
In many modern applications, discretely-observed data may be naturally understood as a set
of functions. Functional data often exhibit two confounded sources of variability: amplitude (y …

Disasters Detection from Remote Satellite Images using ML and Deep Learning Approaches

NP Mamatha, MU Bagali… - … for Sustainability (IIHC), 2022 - ieeexplore.ieee.org
Overview of Machine Learning and Deep learning methodologies for disaster detection on
the basis of satellite images are discussed. Most countries are worried about disasters …

[引用][C] 딥러닝기법을활용한위성영상기반의가뭄중장기예측

박수민, 임정호 - 한국항공우주학회학술발표회초록집, 2022 - dbpia.co.kr
가뭄은 강수 부족에 기인하여 발생하는자연재해로써, 지속 정도에 따라 작물생산량,
수자원부족, 사회경제학적 피해를 초래할 수 있다. 가뭄으로인한 피해를 최소화하기 위해서는 …