Welcome to Read Selected Papers from “Editor’s Choice” (Volume 12, Issues 9–14)

Since it was established, “Editor’s Choice” has always been welcomed by researchers. Our Editors-in-Chief have selected more than 200 papers to display here. All of them have gained significant influence.

Recently, the Editorial Office selected the following papers among the most downloaded publications from Volume 12, Issues 9–14. The following is the paper list.

Mapping Floristic Patterns of Trees in Peruvian Amazonia Using Remote Sensing and Machine Learning

Pablo Pérez Chaves et al.

Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review

Abolfazl Abdollahi et al.

Integrating National Ecological Observatory Network (NEON) Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification

Victoria M. Scholl et al.

Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends

Thorsten Hoeser et al.

LiDAR-Based Estimates of Canopy Base Height for a Dense Uneven-Aged Structured Forest

Alexandra Stefanidou et al.

Compatibility of Aerial and Terrestrial LiDAR for Quantifying Forest Structural Diversity

Elizabeth A. LaRue et al.

U-Net-Id, an Instance Segmentation Model for Building Extraction from Satellite Images—Case Study in the Joanópolis City, Brazil

Fabien H. Wagner et al.

60 Years of Glacier Elevation and Mass Changes in the Maipo River Basin, Central Andes of Chile

David Farías-Barahona et al.

From Monitoring to Forecasting Land Surface Conditions Using a Land Data Assimilation System: Application over the Contiguous United States

Anthony Mucia et al.

Enhancing Methods for Under-Canopy Unmanned Aircraft System Based Photogrammetry in Complex Forests for Tree Diameter Measurement

Sean Krisanski et al.

Aboveground Biomass Estimation in Amazonian Tropical Forests: a Comparison of Aircraft- and GatorEye UAV-borne LiDAR Data in the Chico Mendes Extractive Reserve in Acre, Brazil

Marcus V. N. d’Oliveira et al.

Analysis and Assessment of BDS-2 and BDS-3 Broadcast Ephemeris: Accuracy, the Datum of Broadcast Clocks and Its Impact on Single Point Positioning

Guoqiang Jiao et al.

Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories

Ronald E. McRoberts et al.

An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia

Kyung M. Han et al.

Evaluating the Performance of Sentinel-3A OLCI Land Products for Gross Primary Productivity Estimation Using AmeriFlux Data

Zhijiang Zhang et al.

High Quality Zenith Tropospheric Delay Estimation Using a Low-Cost Dual-Frequency Receiver and Relative Antenna Calibration

Andreas Krietemeyer et al.

Surface Temperature of the Planet Earth from Satellite Data over the Period 2003–2019

José Antonio Sobrino et al.

Sea Level Variability in the Red Sea: A Persistent East–West Pattern

Cheriyeri P. Abdulla et al.

Identification of Short-Rotation Eucalyptus Plantation at Large Scale Using Multi-Satellite Imageries and Cloud Computing Platform

Xinping Deng et al.

Contribution of Remote Sensing Technologies to a Holistic Coastal and Marine Environmental Management Framework: A Review

Badr El Mahrad et al.

Adaptive Modeling of the Global Ionosphere Vertical Total Electron Content

Eren Erdogan et al.

Satellite-Based Drought Impact Assessment on Rice Yield in Thailand with SIMRIW−RS

Mongkol Raksapatcharawong et al.

EANet: Edge-Aware Network for the Extraction of Buildings from Aerial Images

Guang Yang et al.

Development of the Chinese Space-Based Radiometric Benchmark Mission LIBRA

Peng Zhang et al.

Carbon Dioxide Retrieval from TanSat Observations and Validation with TCCON Measurements

Shupeng Wang et al.

Sentinel-2 Data for Land Cover/Use Mapping: A Review

Darius Phiri et al.

Gas Emission Craters and Mound-Predecessors in the North of West Siberia, Similarities and Differences

Alexander Kizyakov et al.

We would like to take this opportunity to thank all the research groups behind these exceptional papers for their contributions to Remote Sensing. We would appreciate it if you would circulate this document among your colleagues or through your network.

If you want to learn more about the contributions published in “Editor’s Choice”, please read here.