Results 131 to 140 of about 12,403 (242)

Approximately Double Increase in Flood Risk Under a 1.5°C/2.0°C Warmer Climate Over the Huai River Basin, China

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Global warming increases the potential risks of hydrological extremes, such as extreme precipitation and flood. Limited attention has been given to the integrated effects of climate change, land‐use change, and socioeconomic advancement on flood risk under global warming of 1.5°C and 2.0°C threshold outlined in the Paris Agreement.
Guodong Bian, Jie Ma, Fuquan Peng, Jianyun Zhang, Guoqing Wang, Fei He, Weixin Li, Mingming Song   +7 more
wiley   +1 more source

Transitional probability matrix of different LULC from 2008 to 2018.

, 2019
Transitional probability matrix of different LULC from 2008 to 2018.
Kailash Chandra (5916125), Lalit Kumar Sharma (646104), Goutam Kumar Saha (8157225), Tanoy Mukherjee (6577076), Mukesh Thakur (5848142)   +4 more
core   +1 more source

Hybrid deep learning with a random forest system for sustainable agricultural land cover classification using DEM in Najran, Saudi Arabia

Open Geosciences
Sustainable agriculture depends heavily on precise LULC classification to support soil conservation, water resource planning, and environmentally conscious land use.
Halawani Hanan T., Alshari Eman A., Asiri Yousef, Senan Ebrahim Mohammed, Mashraqi Aisha M., Almoaina Osama A.   +5 more
doaj   +1 more source

Forecasting the long-term impacts of land use and cover changes on runoff coefficient and flood hydrograph: a case study of the Upper Citanduy Basin, Indonesia

Journal of Degraded and Mining Lands Management
Land use and land cover (LULC) change significantly affects hydrological processes in ungauged basins, where data limitations hinder accurate analysis and modeling.
Pengki Irawan, Junaedi Setiawan
doaj   +1 more source

Flood Hazard Mapping in a Data‐Scarce Urban Watershed Using Analytical Hierarchy Process and Fuzzy Logic: A Case Study of Cuttack, India

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Floods are among the most frequent and damaging natural hazards in India, particularly affecting low‐lying urban areas in the eastern regions such as Cuttack, Odisha. This study aims to develop a flood hazard susceptibility map for the Cuttack district in Odisha, India, using a combined Analytical Hierarchy Process (AHP) and fuzzy logic ...
Siprarani Pradhan, Surendar Natarajan, Dev Kalyan Panda, Naveen Joseph   +3 more
wiley   +1 more source

Enhancing Artificial Neural Network Performance for Wildfire Susceptibility Mapping Using Bernstein‐Levy and Multi‐Population Differential Evolution Algorithms

Transactions in GIS, Volume 30, Issue 4, June 2026.
ABSTRACT Wildfire susceptibility mapping (WSM) is critical for forest management, land‐use planning, and disaster risk mitigation. Although hybrid artificial neural network (ANN) models optimized by metaheuristic algorithms are increasingly used in susceptibility mapping, they are often evaluated without strong machine learning benchmarks, spatially ...
Talha Taşkanat
wiley   +1 more source

LULC in 1988, 1998, 2008, and 2018 (ha).

, 2019
LULC in 1988, 1998, 2008, and 2018 (ha).
Marcin Pawel Jarzebski (4779834), Alexandros Gasparatos (4779825), Helen (8044457)   +2 more
core   +1 more source

Gender and Land Degradation Neutrality (LDN): Evaluating Nigeria's Legislative Framework for Achieving Gender‐Equitable LDN Outcomes

Land Degradation &Development, Volume 37, Issue 9, Page 4016-4043, 30 May 2026.
ABSTRACT Legislative frameworks that support gender equality are crucial for addressing structural inequalities, protecting women's rights, and achieving gender‐equitable land degradation neutrality (LDN) outcomes. This study examines the extent to which national‐level policies and legislation governing LDN and related sectors incorporate gender ...
Cynthia Nneka Olumba, Chukwudi Charles Olumba   +1 more
wiley   +1 more source

LULC change detection and future LULC modelling using RF and MLPNN-Markov algorithms in the uMngeni catchment, KwaZulu-Natal, South Africa

Frontiers in Environmental Science
Water catchment areas are the key strategic water sources with a variety of ecological benefits. However, the trajectory of Land Cover and Land Use Changes (LULC-C change poses a significant threat to water catchment areas, negatively affecting water quality.
Orlando Bhungeni, Michael Gebreslasie, Ashadevi Ramjatan   +2 more
openaire   +2 more sources

Simulation of Land Use and Land Cover of Peatland Bengkalis Using QGIS

JOIV: International Journal on Informatics Visualization
The phenomenon of forest and peatland fires in Bengkalis Regency is inseparable from the change in land use and cover (LULC). The dynamic LULC in Bengkalis Regency is caused by economic factors sourced from land-based resource management.
Fauziah Fauziah, Nur Hayati, Lilik Budi Prasetyo   +2 more
doaj   +1 more source