OOIR: Observatory of International Research

Papers

(The H4-Index of Remote Sensing of Environment is 82. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Deep learning in environmental remote sensing: Achievements and challenges	780
Mapping global forest canopy height through integration of GEDI and Landsat data	462
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications	448
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data	379
Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series	228
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	221
Terrestrial laser scanning in forest ecology: Expanding the horizon	211
A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes	193
Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops	187
Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions	185
Landsat 9: Empowering open science and applications through continuity	184
Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China	183
Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data	183
Fifty years of Landsat science and impacts	167
Validation practices for satellite soil moisture retrievals: What are (the) errors?	162
Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California	157
NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms	155
Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets	150
Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS	148
ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters	143
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements	143
Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States	140
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals	139
Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network	137
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning	135

Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine	132
Hotspots of snow cover changes in global mountain regions over 2000–2018	132
Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach	129
Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends	129
A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature	128
Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters	127
The PRISMA imaging spectroscopy mission: overview and first performance analysis	124
Sea surface salinity estimates from spaceborne L-band radiometers: An overview of the first decade of observation (2010–2019)	124
Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images	124
Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters	121
Continental-scale mapping and analysis of 3D building structure	121
SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives	121
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks	119
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents	119
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission	119
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping	118
Review of GPM IMERG performance: A global perspective	116
How to quantify the cooling effect of urban parks? Linking maximum and accumulation perspectives	116
Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations	116
A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change	115
A review of machine learning in processing remote sensing data for mineral exploration	115
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future	115
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians	111
Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data	110
Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images	110
Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images	110
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping	106
Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany	106
Reconstruction of daytime land surface temperatures under cloud-covered conditions using integrated MODIS/Terra land products and MSG geostationary satellite data	104
Validation of ICESat-2 terrain and canopy heights in boreal forests	104
Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection	103
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	102
Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR	102
Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS	101
Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters	99
InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal	99
Monitoring cropland abandonment with Landsat time series	99
National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series	98
Pan-tropical soil moisture mapping based on a three-layer model from CYGNSS GNSS-R data	97
Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data	97
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach	96
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles	95
The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems	95
Satellite remote sensing of active fires: History and current status, applications and future requirements	94
A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery	93
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index	93
Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-2	93
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks	92
OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals	91
Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature	89

Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation	88
Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery	86
Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook	85
Towards interpreting multi-temporal deep learning models in crop mapping	84
Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction	84
An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images	84
Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)	83
NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales	82
Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach	82