A novel CNN-LSTM-based approach to predict urban expansion

RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification

(2021) Wadii Boulila et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Privacy-Preserving Non-Wearable Occupancy Monitoring System Exploiting Wi-Fi Imaging for Next-Generation Body Centric Communication

(2020) Syed Aziz Shah et al.   Micromachines

Statistical modelling of drought-related yield losses using soil moisture-vegetation remote sensing and multiscalar indices in the south-eastern Europe

(2020) Vera Potopová et al.   AGRICULTURAL WATER MANAGEMENT

Sensor Fusion for Identification of Freezing of Gait Episodes Using Wi-Fi and Radar Imaging

(2020) Syed Aziz Shah et al.   IEEE SENSORS JOURNAL

Privacy-Preserving Wandering Behavior Sensing in Dementia Patients Using Modified Logistic and Dynamic Newton Leipnik Maps

(2020) Syed Aziz Shah et al.   IEEE SENSORS JOURNAL

Big data and IoT-based applications in smart environments: A systematic review

(2020) Yosra Hajjaji et al.   Computer Science Review

Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

(2019) Charlotte Pelletier et al.   Remote Sensing

Predicting Rice Grain Yield Based on Dynamic Changes in Vegetation Indexes during Early to Mid-Growth Stages

(2019) Ke Zhang et al.   Remote Sensing

A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory

(2019) Yanlin Qi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm

(2019) Dieu Tien Bui et al.   Remote Sensing

Estimating Forest Volume and Biomass and Their Changes Using Random Forests and Remotely Sensed Data

(2019) Jessica Esteban et al.   Remote Sensing

Three-Fold Urban Expansion in Saudi Arabia from 1992 to 2013 Observed Using Calibrated DMSP-OLS Night-Time Lights Imagery

(2019) Mohammed Alahmadi et al.   Remote Sensing

Using remote sensing products to predict recovery of vegetation across space and time following energy development

(2019) Adrian P. Monroe et al.   ECOLOGICAL INDICATORS

Statistical modelling of crop yield in Central Europe using climate data and remote sensing vegetation indices

(2018) Anikó Kern et al.   AGRICULTURAL AND FOREST METEOROLOGY

Land use change assessment in coastal mangrove forests of Iran utilizing satellite imagery and CA–Markov algorithms to monitor and predict future change

(2018) Hana Etemadi et al.   Environmental Earth Sciences

Remote sensing-based land surface change identification and prediction in the Aral Sea bed, Central Asia

(2018) H. Shen et al.   International Journal of Environmental Science and Technology

Predicting temperate forest stand types using only structural profiles from discrete return airborne lidar

(2018) Melissa Fedrigo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Hybrid Color Mapping Approach to Fusing MODIS and Landsat Images for Forward Prediction

(2018) Chiman Kwan et al.   Remote Sensing

Big earth observation time series analysis for monitoring Brazilian agriculture

(2018) Michelle Cristina Araujo Picoli et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Global land change from 1982 to 2016

(2018) Xiao-Peng Song et al.   NATURE

Predicting Land Use/Land Cover Changes Using a CA-Markov Model under Two Different Scenarios

(2018) Rahel Hamad et al.   Sustainability

Monitoring and prediction of land use/land cover changes using CA-Markov model: a case study of Ravansar County in Iran

(2018) Hazhir Karimi et al.   Arabian Journal of Geosciences

Using long short-term memory recurrent neural network in land cover classification on Landsat and Cropland data layer time series

(2018) Ziheng Sun et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Deep learning based multi-temporal crop classification

(2018) Liheng Zhong et al.   REMOTE SENSING OF ENVIRONMENT

Lagged correlation-based deep learning for directional trend change prediction in financial time series

(2018) Ben Moews et al.   EXPERT SYSTEMS WITH APPLICATIONS

Sensitivity analysis approach to model epistemic and aleatory imperfection: Application to Land Cover Change prediction model

(2017) Wadii Boulila et al.   Journal of Computational Science

Snowmelt runoff prediction under changing climate in the Himalayan cryosphere: A case of Gilgit River Basin

(2017) Muhammad Adnan et al.   Geoscience Frontiers

Wheat yield prediction using machine learning and advanced sensing techniques

(2016) X.E. Pantazi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep-STEP: A Deep Learning Approach for Spatiotemporal Prediction of Remote Sensing Data

(2016) Monidipa Das et al.   IEEE Geoscience and Remote Sensing Letters

Urban Land Cover Change Modelling Using Time-Series Satellite Images: A Case Study of Urban Growth in Five Cities of Saudi Arabia

(2016) Abdullah Alqurashi et al.   Remote Sensing

Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

(2016) Liangpei Zhang et al.   IEEE Geoscience and Remote Sensing Magazine

Forest cover dynamics analysis and prediction modeling using logistic regression model

(2014) Rakesh Kumar et al.   ECOLOGICAL INDICATORS

Multi-Decadal Mangrove Forest Change Detection and Prediction in Honduras, Central America, with Landsat Imagery and a Markov Chain Model

(2013) Chi-Farn Chen et al.   Remote Sensing