Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability

M Avand, H Moradi - Journal of Hydrology, 2021 - Elsevier
The purpose of this study is to investigate the effects of climate and land use changes on
flood susceptibility areas in the Tajan watershed, Iran. To do this, land use changes over the …

Modeling electricity consumption using nighttime light images and artificial neural networks

T Jasiński - Energy, 2019 - Elsevier
The purpose of this paper is to model electricity consumption using Artificial Neural
Networks (ANN). Total electricity consumption and consumption generated by households …

[HTML][HTML] Coastal wetland vegetation features and digital Change Detection Mapping based on remotely sensed imagery: El-Burullus Lake, Egypt

ANM Eid, CO Olatubara, TA Ewemoje, H Farouk… - International Soil and …, 2020 - Elsevier
Abstract El-Burullus Lake is one of the four Egyptian Ramsar sites that constitute
internationally important wetlands as they contain a rich biodiversity and have a large …

[HTML][HTML] A GIS-based approach for the quantitative assessment of soil quality and sustainable agriculture

MA Abdellatif, AA El Baroudy, M Arshad, EK Mahmoud… - Sustainability, 2021 - mdpi.com
Assessing soil quality is considered one the most important indicators to ensure planned
and sustainable use of agricultural lands according to their potential. The current study was …

[HTML][HTML] Mangrove forest landcover changes in coastal Vietnam: A case study from 1973 to 2020 in Thanh Hoa and Nghe An provinces

HTT Nguyen, GES Hardy, TV Le, HQ Nguyen… - Forests, 2021 - mdpi.com
Mangrove forests can ameliorate the impacts of typhoons and storms, but their extent is
threatened by coastal development. The northern coast of Vietnam is especially vulnerable …

Monitoring and forecasting of land use/land cover (LULC) in Al-Hassa Oasis, Saudi Arabia based on the integration of the Cellular Automata (CA) and the Cellular …

A Abdelkarim - Geology, Ecology, and Landscapes, 2023 - Taylor & Francis
This study sought to integrate the Cellular Automata-Markov Model (CA-Markov) and the
Cellular Automata (CA) using sensing data for land cover maps for the years: 1988, 2000 …

[HTML][HTML] Detecting Spatiotemporal Expansion of Water Hyacinth (Eichhornia crassipes) in Lake Tana, Northern Ethiopia

T Asmare, B Demissie, AG Nigusse… - Journal of the Indian …, 2020 - Springer
Abstract In the Northern Ethiopia, Lake Tana has serious problems related to the alien water
hyacinth invasive weed. The weed species grows in and swims over water and expands …

Monitoring changes in coastal mangrove extents using multi-temporal satellite data in selected communes, Hai Phong City, Vietnam

HH Nguyen, LTN Tran, AT Le, NH Nghia… - Forest and …, 2020 - journal.unhas.ac.id
Mangrove forests are important and known as one of the most productive ecosystems in the
tropics. They reduce the impacts of extreme events, provide important breeding grounds for …

Normalized difference vegetation index (NDVI) analysis for vegetation cover in Leuser Ecosystem Area, Sumatra, Indonesia

APP Hartoyo, A Sunkar, R Ramadani, S Faluthi… - Biodiversitas Journal of …, 2021 - smujo.id
Hartoyo APP, Sunkar A, Ramadani R, Faluthi S, Hidayati S. 2021. Normalized Difference
Vegetation Index (NDVI) analysis for vegetation cover in Leuser Ecosystem area, Sumatra …

[HTML][HTML] The dynamics of vegetation and implications for ecosystem services in the context of urbanisation: An example from Huangyan-Taizhou, China

S Xiao, T Fügener, W Wende, W Yan, H Chen… - Ecological …, 2022 - Elsevier
Urban sprawl and associated land use changes have been referred as primary drivers of
environmental change. Yet it is unclear in detail how land use changes impact vegetative …