OOIR: Observatory of International Research

Papers

(The H4-Index of Remote Sensing of Environment is 81. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)

Article	Citations
Mapping global forest canopy height through integration of GEDI and Landsat data	604
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications	527
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data	461
WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF	270
Terrestrial laser scanning in forest ecology: Expanding the horizon	267
Fifty years of Landsat science and impacts	235
Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China	226
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks	193
Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets	181
NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms	179
Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters	179
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements	172
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals	172
ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters	172
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission	171
Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends	167
A review of machine learning in processing remote sensing data for mineral exploration	164
Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States	163
The PRISMA imaging spectroscopy mission: overview and first performance analysis	159
Review of GPM IMERG performance: A global perspective	157
A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature	156
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning	154
Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine	152
SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives	148
How to quantify the cooling effect of urban parks? Linking maximum and accumulation perspectives	142

Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany	141
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future	139
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks	137
Validation of ICESat-2 terrain and canopy heights in boreal forests	136
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents	135
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping	130
Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale	129
Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR	128
Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images	126
Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection	125
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach	124
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles	124
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians	124
Satellite remote sensing of active fires: History and current status, applications and future requirements	122
National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series	122
A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery	112
InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal	112
Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters	110
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data	108
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index	108
Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model	106
OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals	103
Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery	103
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data	102
Towards interpreting multi-temporal deep learning models in crop mapping	99
Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)	99
Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2	98
From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations	97
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing	96
NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales	95
World Settlement Footprint 3D - A first three-dimensional survey of the global building stock	94
In-situ and triple-collocation based evaluations of eight global root zone soil moisture products	94
Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach	93
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities	91
Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction	91
Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.0	91
Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales	90
Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases	90
Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes	88
Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3	88
Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2	87
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data	87
Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review	87
Virtual image pair-based spatio-temporal fusion	86
Estimating PM2.5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–2016	86
Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm	86
The Copernicus Sentinel-6 mission: Enhanced continuity of satellite sea level measurements from space	86
Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series	86
Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour	85
Crop mapping from image time series: Deep learning with multi-scale label hierarchies	85

A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering	84
Change detection using deep learning approach with object-based image analysis	84
Mapping temperate forest tree species using dense Sentinel-2 time series	84
Automated detection of rock glaciers using deep learning and object-based image analysis	83
The urban morphology on our planet – Global perspectives from space	83
An automated rice mapping method based on flooding signals in synthetic aperture radar time series	82