Object-Based Image Analysis (OBIA) and Machine Learning (ML) Applied to Tropical Forest Mapping Using Sentinel-2

Assessment of Atmospheric Correction Processors and Spectral Bands for Satellite-Derived Bathymetry Using Sentinel-2 Data in the Middle Adriatic

(2022) Ljerka Vrdoljak et al.   Hydrology

Analysis of Regional Distribution of Tree Species Using Multi-Seasonal Sentinel-1&2 Imagery within Google Earth Engine

(2021) Bo Xie et al.   Forests

Mapping National Mangrove Cover for Belize Using Google Earth Engine and Sentinel-2 Imagery

(2021) Jordan R. Cissell et al.   Applied Sciences-Basel

AI-ForestWatch: semantic segmentation based end-to-end framework for forest estimation and change detection using multi-spectral remote sensing imagery

(2021) Annus Zulfiqar et al.   Journal of Applied Remote Sensing

Aboveground Biomass Estimation in Short Rotation Forest Plantations in Northern Greece Using ESA’s Sentinel Medium-High Resolution Multispectral and Radar Imaging Missions

(2021) Nikos Theofanous et al.   Forests

Cloud-computing and machine learning in support of country-level land cover and ecosystem extent mapping in Liberia and Gabon

(2020) Celio de Sousa et al.   PLoS One

Remote Sensing for Precision Agriculture: Sentinel-2 Improved Features and Applications

(2020) Joel Segarra et al.   Agronomy-Basel

A Synthesizing Land-cover Classification Method Based on Google Earth Engine: A Case Study in Nzhelele and Levhuvu Catchments, South Africa

(2020) Hongwei Zeng et al.   Chinese Geographical Science

Sentinel-2 Imagery Processing for Tree Logging Observations on the Białowieża Forest World Heritage Site

(2020) Klaudia Weronika Pałaś et al.   Forests

Mapping Land Cover and Tree Canopy Cover in Zagros Forests of Iran: Application of Sentinel-2, Google Earth, and Field Data

(2020) Saeedeh Eskandari et al.   Remote Sensing

Assessment of Sentinel-2 Satellite Images and Random Forest Classifier for Rainforest Mapping in Gabon

(2020) Adam Waśniewski et al.   Forests

Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine

(2020) Carlos M. Souza et al.   Remote Sensing

Monitoring Forest Change in the Amazon Using Multi-Temporal Remote Sensing Data and Machine Learning Classification on Google Earth Engine

(2020) Maria Antonia Brovelli et al.   ISPRS International Journal of Geo-Information

Forest Cover Mapping Based on a Combination of Aerial Images and Sentinel-2 Satellite Data Compared to National Forest Inventory Data

(2020) Selina Ganz et al.   Forests

Understanding the Spatial Distribution of Urban Forests in China Using Sentinel-2 Images with Google Earth Engine

(2019) Qianwen Duan et al.   Forests

Evaluating Combinations of Sentinel-2 Data and Machine-Learning Algorithms for Mangrove Mapping in West Africa

(2019) Pinki Mondal et al.   Remote Sensing

Supervised methods of image segmentation accuracy assessment in land cover mapping

(2018) Hugo Costa et al.   REMOTE SENSING OF ENVIRONMENT

Estimation of Forest Above-Ground Biomass by Geographically Weighted Regression and Machine Learning with Sentinel Imagery

(2018) Lin Chen et al.   Forests

Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine

(2017) Huabing Huang et al.   REMOTE SENSING OF ENVIRONMENT

Estimating leaf chlorophyll content in sugar beet canopies using millimeter- to centimeter-scale reflectance imagery

(2017) Sylvain Jay et al.   REMOTE SENSING OF ENVIRONMENT

Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping

(2017) Jennifer Hird et al.   Remote Sensing

Contributions of Actual and Simulated Satellite SAR Data for Substrate Type Differentiation and Shoreline Mapping in the Canadian Arctic

(2017) Sarah Banks et al.   Remote Sensing

MODIS-Based Estimation of Terrestrial Latent Heat Flux over North America Using Three Machine Learning Algorithms

(2017) Xuanyu Wang et al.   Remote Sensing

Köppen, Thornthwaite and Camargo climate classifications for climatic zoning in the State of Paraná, Brazil

(2016) Lucas Eduardo de Oliveira Aparecido et al.   CIENCIA E AGROTECNOLOGIA

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

High-resolution mapping of global surface water and its long-term changes

(2016) Jean-François Pekel et al.   NATURE

A scalable satellite-based crop yield mapper

(2015) David B. Lobell et al.   REMOTE SENSING OF ENVIRONMENT

Accuracy Assessment Measures for Object-based Image Segmentation Goodness

(2013) Nicholas Clinton et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

A refined index of model performance

(2011) Cort J. Willmott et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment

(2011) Robert Gilmore Pontius et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content

(2011) Jesús Delegido et al.   SENSORS

Evaluating multispectral remote sensing and spectral unmixing analysis for crop residue mapping

(2010) Anna Pacheco et al.   REMOTE SENSING OF ENVIRONMENT

Development of a two-band enhanced vegetation index without a blue band

(2008) Z JIANG et al.   REMOTE SENSING OF ENVIRONMENT