Deep learning for vegetation health forecasting: A case study in Kenya

Deep learning for vegetation health forecasting: A case study in Kenya

East Africa has experienced a number of devastating droughts in recent decades, including the 2010/2011 drought. The National Drought Management Authority in Kenya relies on real-time information from MODIS satellites to monitor and respond to emerging drought conditions in the arid and semi-arid la...

Descripció completa

Dades bibliogràfiques
Autors principals:	Lees, T, Tseng, G, Atzberger, C, Reece, S, Dadson, S
Format:	Journal article
Idioma:	English
Publicat:	MDPI 2022

Ítems similars

Deep Learning for Vegetation Health Forecasting: A Case Study in Kenya
per: Thomas Lees, et al.
Publicat: (2022-02-01)

Satellite-based drought monitoring in Kenya in an operational setting
per: A. Klisch, et al.
Publicat: (2015-04-01)

Forecasting vegetation dynamics in an open ecosystem by integrating deep learning and environmental variables
per: Yue Ma, et al.
Publicat: (2022-11-01)

Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models
per: T. Lees, et al.
Publicat: (2021-10-01)

Deep Learning Model Effectiveness in Forecasting Limited-Size Aboveground Vegetation Biomass Time Series: Kenyan Grasslands Case Study
per: Efrain Noa-Yarasca, et al.
Publicat: (2024-02-01)

Benchmarking data-driven rainfall-runoff models in Great Britain: a comparison of LSTM-based models with four lumped conceptual models
per: Lees, T, et al.
Publicat: (2021)

Geometric neural operators (gnps) for data-driven deep learning in non-euclidean settings
per: B Quackenbush, et al.
Publicat: (2024-01-01)

Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
per: Muhammad Usman Tariq, Muhammad Usman Tariq, et al.
Publicat: (2024)

Temperature forecasting by deep learning methods
per: B. Gong, et al.
Publicat: (2022-12-01)

Deep Learning for Short-Term Load Forecasting—Industrial Consumer Case Study
per: Stefan Ungureanu, et al.
Publicat: (2021-10-01)

Deep learning for time series forecasting: The electric load case
per: Alberto Gasparin, et al.
Publicat: (2022-03-01)

A Deep Learning Approach for Peak Load Forecasting: A Case Study on Panama
per: Bibi Ibrahim, et al.
Publicat: (2021-05-01)

Deep learning in stock market forecasting
per: Wijaya, Michael
Publicat: (2022)

Stock Price Forecasting with Deep Learning: A Comparative Study
per: Tej Bahadur Shahi, et al.
Publicat: (2020-08-01)

Deep Learning Algorithms for Forecasting COVID-19 Cases in Saudi Arabia
per: Afrah Al-Rashedi, et al.
Publicat: (2023-01-01)

Wind Power Forecasting with Deep Learning Networks: Time-Series Forecasting
per: Wen-Hui Lin, et al.
Publicat: (2021-11-01)

Load Forecasting with Machine Learning and Deep Learning Methods
per: Moisés Cordeiro-Costas, et al.
Publicat: (2023-07-01)

Deep learning forecast of rainfall-induced shallow landslides
per: Alessandro C. Mondini, et al.
Publicat: (2023-04-01)

Deep-Learning Correction Methods for Weather Research and Forecasting (WRF) Model Precipitation Forecasting: A Case Study over Zhengzhou, China
per: Jianbin Zhang, et al.
Publicat: (2024-05-01)

HOUSEHOLD DEMAND SYSTEM OF AFRICAN INDIGENOUS VEGETABLES IN KENYA
per: Eric Obedy GIDO
Publicat: (2022-03-01)

Deep Learning XAI for Bus Passenger Forecasting: A Use Case in Spain
per: Leticia Monje, et al.
Publicat: (2022-04-01)

Deep learning for financial time series forecasting
per: Xia, Yuqian
Publicat: (2018)

Weighted Deep Learning Approach for Better Forecasting
per: Seng Hansun, et al.
Publicat: (2024-01-01)

Deep learning-based forecasting of electricity consumption
per: Momina Qureshi, et al.
Publicat: (2024-03-01)

Deep Learning for Forecasting Electricity Demand in Taiwan
per: Cheng-Hong Yang, et al.
Publicat: (2022-07-01)

Forecasting of Power Demands Using Deep Learning
per: Taehyung Kang, et al.
Publicat: (2020-10-01)

An Interpretable Deep Learning ENSO Forecasting Model
per: Haoyu Wang, et al.
Publicat: (2023-01-01)

Deep Learning-Based Extreme Heatwave Forecast
per: Valérian Jacques-Dumas, et al.
Publicat: (2022-02-01)

Deep learning for twelve hour precipitation forecasts
per: Lasse Espeholt, et al.
Publicat: (2022-09-01)

Forecasting of COVID-19 cases using deep learning models: Is it reliable and practically significant?
per: Jayanthi Devaraj, et al.
Publicat: (2021-02-01)

Electricity Price Forecasting via Statistical and Deep Learning Approaches: The German Case
per: Aurora Poggi, et al.
Publicat: (2023-04-01)

Technology Forecasting Using Deep Learning Neural Network: Taking the Case of Robotics
per: Meizeng Gui, et al.
Publicat: (2021-01-01)

Global Geomagnetic Perturbation Forecasting Using Deep Learning
per: Vishal Upendran, et al.
Publicat: (2022-06-01)

A new Vegetation-Plot Database for the Coastal Forests of Kenya
per: Maria Fungomeli, et al.
Publicat: (2020-06-01)

SHORT TERM URBAN TRAFFIC FORECASTING USING DEEP LEARNING
per: G. Albertengo, et al.
Publicat: (2018-09-01)

A Study on the Forecast of Earning Management Based on Deep Learning by Reflecting Information on Corporate Litigation Cases
per: Hyeon Kang, et al.
Publicat: (2024-01-01)

Forecasting Floods Using Deep Learning Models: A Longitudinal Case Study of Chenab River, Pakistan
per: Khansa Aatif, et al.
Publicat: (2024-01-01)

Deep Learning and Statistical Models for Forecasting Transportation Demand: A Case Study of Multiple Distribution Centers
per: Fábio Polola Mamede, et al.
Publicat: (2023-11-01)

Daily Weather Forecasting Based on Deep Learning Model: A Case Study of Shenzhen City, China
per: Guici Chen, et al.
Publicat: (2022-08-01)

Short-Term Solar Irradiance Forecasting Using Deep Learning Techniques: A Comprehensive Case Study
per: Salwan Tajjour, et al.
Publicat: (2023-01-01)