Работы, на которые ссылается эта работа

Работ: 85

Работа: Remote sensing analysis of forest fire impacts on ecosystem productivity, greenhouse gas emissions, and fire risk in Pakistan

XGBoost
Tianqi Chen, Carlos Guestrin
Статья2016Цитирований: 39
ABI
Random forest in remote sensing: A review of applications and future directions
Mariana Belgiu, Lucian Drăguţ
Обзорная статья2016Цитирований: 10
ABI
Без названия
ДругоеЦитирований: 8
ABI
A proposed method for landslide detection based on transfer learning and graph neural network
Wanqi Luo, Haijun Qiu, Yingdong Wei +2
Статья2025Цитирований: 7
ABI
Flash droughts exacerbate global vegetation loss and delay recovery
Yuanfang Chai, Chiyuan Miao, Amir AghaKouchak +6
Статья2025Цитирований: 7
ABI
High-Resolution Global Maps of 21st-Century Forest Cover Change
Matthew C. Hansen, Peter Potapov, Rebecca Moore +12
Статья2013Цитирований: 6
ABI
Super-Resolution Reconstruction of SMOS Sea Surface Salinity from Multivariate Satellite Observations Based on Deep Learning
Zhenyu Liang, Senliang Bao, Weimin Zhang +3
Статья2025Цитирований: 5
ABI
A review of machine learning applications in wildfire science and management
Piyush Jain, Sean C.P. Coogan, Sriram Ganapathi Subramanian +3
Статья2020Цитирований: 4
ABI
Modeling Net Ecosystem Exchange for Grassland in Central Kazakhstan by Combining Remote Sensing and Field Data
Pavel Propastin, Martin Kappas
Статья2009Цитирований: 3
ABI
Spatiotemporal dynamics of vegetation cover: integrative machine learning analysis of multispectral imagery and environmental predictors
Shoaib Ahmad Anees, Kaleem Mehmood, Waseem Razzaq Khan +6
Статья2025Цитирований: 3
ABI
Advancing forest fire prediction: A multi-layer stacking ensemble model approach
Fahad Shahzad, Kaleem Mehmood, Shoaib Ahmad Anees +7
Статья2025Цитирований: 3
ABI
Impact of anthropogenic climate change on wildfire across western US forests
John T. Abatzoglou, Park Williams
Статья2016Цитирований: 2
ABI
Assessment Analysis of Flood Susceptibility in Tropical Desert Area: A Case Study of Yemen
Ali R. Al-Aizari, Yousef A. Al-Masnay, Ali Aydda +10
Статья2022Цитирований: 2
ABI
Estimate earth fissure hazard based on machine learning in the Qa’ Jahran Basin, Yemen
Yousef A. Al-Masnay, Nabil M. Al‐Areeq, Kashif Ullah +5
Статья2022Цитирований: 2
ABI
Fire intensity, fire severity and burn severity: a brief review and suggested usage
Jon E. Keeley
Обзорная статья2009Цитирований: 2
ABI
Assessing Chilgoza Pine (Pinus gerardiana) forest fire severity: Remote sensing analysis, correlations, and predictive modeling for enhanced management strategies
Kaleem Mehmood, Shoaib Ahmad Anees, Mi Luo +4
Статья2024Цитирований: 2
ABI
Occurrence, probable causes, and management of forest wildfires in the Northern Highlands of Pakistan
Mohammad Nafees, Wajid Rashid, Hameeda Sultan +4
Статья2024Цитирований: 2
ABI
Forest fire probability zonation using dNBR and machine learning models: a case study at the Similipal Biosphere Reserve (SBR), Odisha, India
Rajkumar Guria, Manoranjan Mishra, Samiksha Mohanta +1
Статья2025Цитирований: 2
ABI
Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project
Kaleem Mehmood, Shoaib Ahmad Anees, Sultan Muhammad +6
Статья2025Цитирований: 2
ABI
Regression-based predictive modeling of summer urban microclimate: Quantifying contributions from urban design and urban heat emissions
Yuan Chen, Yupeng Wang, Dian Zhou +1
Статья2025Цитирований: 2
ABI
Exploring vegetation health in Southern Thailand under climate stress from temperature and water impacts between 2000 and 2023
Kaleem Mehmood, Shoaib Ahmad Anees, Fahad Shahzad +5
Статья2025Цитирований: 2
ABI
From Trends to Drivers: Vegetation Degradation and Land-Use Change in Babil and Al-Qadisiyah, Iraq (2000–2023)
Nawar Al-Tameemi, Xuexia Zhang, Fahad Shahzad +3
Статья2025Цитирований: 2
ABI
Machine learning-based forest fire vulnerability assessment in subtropical chir pine forests of Pakistan
Sultan Muhammad, Syed Moazzam Nizami, Qunou Jiang +5
Статья2025Цитирований: 2
ABI
Enhancing desertification risk mapping with entropy-based weighting and machine learning: Insights from Iraq
Nawar Al-Tameemi, Zhang Xuexia, Fahad Shahzad +2
Статья2025Цитирований: 2
ABI
Без названия
ДругоеЦитирований: 1
ABI