Land use/land cover in view of earth observation: Data sources, input dimensions, and classifiers—A review of the state of the art

PC Pandey, N Koutsias, GP Petropoulos… - Geocarto …, 2021 - Taylor & Francis
Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately
connected to many phases of the human and physical environment. Earth observation (EO) …

Effects of climate change on water resources in the upper Blue Nile Basin of Ethiopia

V Roth, T Lemann, G Zeleke, AT Subhatu, TK Nigussie… - Heliyon, 2018 - cell.com
Drawing on hydrology, rainfall, and climatic data from the past 25 years, this article
investigates the effects of climate change on water resources in the transnational Blue Nile …

Modeling of land use/land cover dynamics using artificial neural network and cellular automata Markov chain algorithms in Goang watershed, Ethiopia

G Sisay, B Gessesse, C Fürst, M Kassie, B Kebede - Heliyon, 2023 - cell.com
Abstract Land Use/Land Cover (LULC) change has inhibited sustainable development for
the last millennia by affecting climate, biological cycles, and ecosystem services and …

Modeling urban growth using spatially heterogeneous cellular automata models: Comparison of spatial lag, spatial error and GWR

C Gao, Y Feng, X Tong, Z Lei, S Chen, S Zhai - … , Environment and Urban …, 2020 - Elsevier
Many methods can be used to construct geographical cellular automata (CA) models of
urban land use, but most do not adequately capture spatial heterogeneity in urban …

A multi-layer perceptron–Markov chain based LULC change analysis and prediction using remote sensing data in Prayagraj district, India

V Kumar, S Agrawal - Environmental Monitoring and Assessment, 2023 - Springer
Land use land cover (LULC) mapping and temporal observations are indispensable drivers
for sustainable development. This research showed the growth trends and land use …

Semantic segmentation deep learning for extracting surface mine extents from historic topographic maps

AE Maxwell, MS Bester, LA Guillen, CA Ramezan… - Remote Sensing, 2020 - mdpi.com
Historic topographic maps, which are georeferenced and made publicly available by the
United States Geological Survey (USGS) and the National Map's Historical Topographic …

Modeling runoff-sediment influx responses to alternative BMP interventions in the Gojeb watershed, Ethiopia, using the SWAT hydrological model

Y Anteneh, T Alamirew, G Zeleke… - … Science and Pollution …, 2023 - Springer
Abstract The Soil & Water Assessment Tool (SWAT) has been calibrated over a 33-year
period to evaluate the Gojeb watershed's hydrological processes, sediment yield with …

A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery

R Bouhennache, T Bouden, A Taleb-Ahmed… - Geocarto …, 2019 - Taylor & Francis
Extracting built-up areas from remote sensing data like Landsat 8 satellite is a challenge. We
have investigated it by proposing a new index referred as built-up land features extraction …

[HTML][HTML] Modeling and simulating land use/cover change using artificial neural network from remotely sensing data

E Buğday, SE Buğday - Cerne, 2019 - SciELO Brasil
Increasing population, mobility and requirements of human beings have significant effects
on the dynamics of land use and land cover. Today, these impacts need to be understood …

Supporting pro-poor reforms of agricultural systems in eastern DRC (Africa) with remotely sensed data: a possible contribution of spatial entropy to interpret land …

P De Marinis, S De Petris, F Sarvia, G Manfron… - Land, 2021 - mdpi.com
In the eastern Democratic Republic of Congo, agriculture represents the most important
economic sector, and land control can be considered a perpetual source of conflict …