Remote Sensing | Welcome to Read Selected Papers from “Editor’s Choice” II

Since it was established, “Editor’s Choice” has always been welcomed by researchers. Editors-in-Chief have selected about 300 papers to display here. All of them have gained significant influence.

In April 2021, the Editorial Office selected another 15 papers among the most downloaded publications. The following is the paper list.

Inter-Comparison and Evaluation of Remote Sensing Precipitation Products over China from 2005 to 2013

Qiaolin Zeng et al.

Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling

Kim Calders et al.

Assessing Correlation of High-Resolution NDVI with Fertilizer Application Level and Yield of Rice and Wheat Crops Using Small UAVs

Senlin Guan et al.

30 m Resolution Global Annual Burned Area Mapping Based on Landsat Images and Google Earth Engine

Tengfei Long et al.

Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results

Meisam Amani et al.

Overall Methodology Design for the United States National Land Cover Database 2016 Products

Suming Jin et al.

Deforestation and Forest Degradation Due to Gold Mining in the Peruvian Amazon: A 34-Year Perspective

Jorge Caballero Espejo et al.

Satellite Derived Bathymetry Using Machine Learning and Multi-Temporal Satellite Images

Tatsuyuki Sagawa et al.

Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas

Sepideh Tavakkoli Piralilou et al.

A New Algorithm for the On-Board Compression of Hyperspectral Images

Raúl Guerra et al.

East Africa Rainfall Trends and Variability 1983–2015 Using Three Long-Term Satellite Products

Elsa Cattani et al.

Impacts of Climate Change on Tibetan Lakes: Patterns and Processes

Dehua Mao et al.

Landsat Super-Resolution Enhancement Using Convolution Neural Networks and Sentinel-2 for Training

Darren Pouliot et al.

A Comparative Assessment of the Performance of Individual Tree Crowns Delineation Algorithms from ALS Data in Tropical Forests

Mélaine Aubry-Kientz et al.

The GFZ GRACE RL06 Monthly Gravity Field Time Series: Processing Details and Quality Assessment

Christoph Dahle et al.

We would like to take this opportunity to thank all the research groups of the 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.