Remote Sensing of Environment

Article	Citations
Deep learning in environmental remote sensing: Achievements and challenges	751
Mapping global forest canopy height through integration of GEDI and Landsat data	436
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications	430
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data	368
Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets	316
Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach	247
Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery	228
Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine	218
Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series	218
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	213
Terrestrial laser scanning in forest ecology: Expanding the horizon	206
A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes	186
Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops	182
Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions	181
Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data	175
Landsat 9: Empowering open science and applications through continuity	175
Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China	173
A remote sensing approach to mapping fire severity in south-eastern Australia using sentinel 2 and random forest	173
Remote sensing of shallow waters – A 50 year retrospective and future directions	158
Validation practices for satellite soil moisture retrievals: What are (the) errors?	158
Fifty years of Landsat science and impacts	155
Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California	153
NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms	148
Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets	146
Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS	144

ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters	138
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements	136
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals	135
Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States	133
Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network	131
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning	129
Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine	129
Hotspots of snow cover changes in global mountain regions over 2000–2018	128
A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature	126
Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach	125
Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters	123
Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends	123
The PRISMA imaging spectroscopy mission: overview and first performance analysis	123
Soil moisture experiment in the Luan River supporting new satellite mission opportunities	121
SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives	120
Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images	120
Sea surface salinity estimates from spaceborne L-band radiometers: An overview of the first decade of observation (2010–2019)	118
Continental-scale mapping and analysis of 3D building structure	118
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks	116
Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters	114
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents	114
Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations	113
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future	112
Review of GPM IMERG performance: A global perspective	112
How to quantify the cooling effect of urban parks? Linking maximum and accumulation perspectives	111
A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change	111
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping	111
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission	109
A review of machine learning in processing remote sensing data for mineral exploration	108
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians	107
Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data	107
Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images	106
Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images	104
Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR	102
Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection	102
Reconstruction of daytime land surface temperatures under cloud-covered conditions using integrated MODIS/Terra land products and MSG geostationary satellite data	101
Validation of ICESat-2 terrain and canopy heights in boreal forests	100
Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS	100
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	99
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping	99
Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany	97
Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters	96
InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal	96
Pan-tropical soil moisture mapping based on a three-layer model from CYGNSS GNSS-R data	96
Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data	95
Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data	94
Monitoring cropland abandonment with Landsat time series	94
National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series	93
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach	93
The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground biomass of mangrove ecosystems	93

Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-2	92
Satellite remote sensing of active fires: History and current status, applications and future requirements	91
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index	90
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles	90
OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals	89
A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery	89
Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation	87
Developing a method to estimate building height from Sentinel-1 data	86
Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature	85
Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook	83
Towards interpreting multi-temporal deep learning models in crop mapping	82
Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence	82
An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images	80
Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery	80
Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.0	80
Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach	79
Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)	79
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data	78
Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction	78
Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases	78
Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm	78
NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales	77
In-situ and triple-collocation based evaluations of eight global root zone soil moisture products	77
The Landsat Burned Area algorithm and products for the conterminous United States	77
Fluorescence Correction Vegetation Index (FCVI): A physically based reflectance index to separate physiological and non-physiological information in far-red sun-induced chlorophyll fluorescence	77
Forecasting the magnitude of potential landslides based on InSAR techniques	76
Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2	76
A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution	75
Quantification of lake clarity in China using Landsat OLI imagery data	74
From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations	74
Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3	73
Evaluation of global leaf area index and fraction of absorbed photosynthetically active radiation products over North America using Copernicus Ground Based Observations for Validation data	73
A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering	73
Agricultural drought mitigating indices derived from the changes in drought characteristics	72
Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales	72
A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery	71
Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation	71
Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time	71
Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model	71
Automated detection of rock glaciers using deep learning and object-based image analysis	70
A summary of the special issue on remote sensing of land change science with Google earth engine	69
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data	68
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	68
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data	68
Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud	68
Virtual image pair-based spatio-temporal fusion	67
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing	67
Estimating PM2.5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–2016	67
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities	66
An automated rice mapping method based on flooding signals in synthetic aperture radar time series	66
Training data requirements for fire severity mapping using Landsat imagery and random forest	66
Lake outburst accelerated permafrost degradation on Qinghai-Tibet Plateau	66
Change detection using deep learning approach with object-based image analysis	65
FSDAF 2.0: Improving the performance of retrieving land cover changes and preserving spatial details	65
Identification of waterlogging in Eastern China induced by mining subsidence: A case study of Google Earth Engine time-series analysis applied to the Huainan coal field	65
Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2	65
The Copernicus Sentinel-6 mission: Enhanced continuity of satellite sea level measurements from space	65
World Settlement Footprint 3D - A first three-dimensional survey of the global building stock	65
Crop mapping from image time series: Deep learning with multi-scale label hierarchies	64
A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau	64
Open-source data-driven urban land-use mapping integrating point-line-polygon semantic objects: A case study of Chinese cities	64
Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing	63
Quantifying expansion and removal of Spartina alterniflora on Chongming island, China, using time series Landsat images during 1995–2018	63
Towards delivering on the Sustainable Development Goals using Earth observations	63
Satellite InSAR survey of structurally-controlled land subsidence due to groundwater exploitation in the Aguascalientes Valley, Mexico	62
Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion	62
Spatially and temporally complete Landsat reflectance time series modelling: The fill-and-fit approach	62
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks	62
Anthropogenic transformation of Yangtze Plain freshwater lakes: patterns, drivers and impacts	62
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion	62
Global scale error assessments of soil moisture estimates from microwave-based active and passive satellites and land surface models over forest and mixed irrigated/dryland agriculture regions	62
Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert gra	62
Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (2000–2019)	62
Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes	62
Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry	61
Surface anthropogenic heat islands in six megacities: An assessment based on a triple-source surface energy balance model	61
Multi-layer high-resolution soil moisture estimation using machine learning over the United States	61
Mapping temperate forest tree species using dense Sentinel-2 time series	61
Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion	60
OC-SMART: A machine learning based data analysis platform for satellite ocean color sensors	60

Solar-induced chlorophyll fluorescence is non-linearly related to canopy photosynthesis in a temperate evergreen needleleaf forest during the fall transition	60
Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison	60
Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop	60
A High-Precision Aerosol Retrieval Algorithm (HiPARA) for Advanced Himawari Imager (AHI) data: Development and verification	59
Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters	59
Evolution of NDVI secular trends and responses to climate change: A perspective from nonlinearity and nonstationarity characteristics	59
InSAR monitoring of creeping landslides in mountainous regions: A case study in Eldorado National Forest, California	59
Satellite remote sensing of pelagic Sargassum macroalgae: The power of high resolution and deep learning	59
Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis	59
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery	58
Magnitudes and patterns of large-scale permafrost ground deformation revealed by Sentinel-1 InSAR on the central Qinghai-Tibet Plateau	58
The urban morphology on our planet – Global perspectives from space	58
Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer	58
Deeply synergistic optical and SAR time series for crop dynamic monitoring	58
Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest	57
Two decades of settlement of Hong Kong International Airport measured with multi-temporal InSAR	57
High-resolution wall-to-wall land-cover mapping and land change assessment for Australia from 1985 to 2015	57
Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates	57
Retrieval of historical surface displacements of the Baige landslide from time-series SAR observations for retrospective analysis of the collapse event	57
Photochemical reflectance index (PRI) can be used to improve the relationship between gross primary productivity (GPP) and sun-induced chlorophyll fluorescence (SIF)	57
Pre- and within-season crop type classification trained with archival land cover information	57
Open water detection in urban environments using high spatial resolution remote sensing imagery	56
A high-resolution bathymetry dataset for global reservoirs using multi-source satellite imagery and altimetry	56
Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products	56
Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning	56
Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe	56
Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach	56
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution	56
Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review	55
Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities	55
Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection	55
A million kernels of truth: Insights into scalable satellite maize yield mapping and yield gap analysis from an extensive ground dataset in the US Corn Belt	55
Detection of sub-canopy forest structure using airborne LiDAR	55
Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images and a comparison with Level 2A processors	55
Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages	54
Temperature Vegetation Precipitation Dryness Index (TVPDI)-based dryness-wetness monitoring in China	54
Hyperspectral imagery to monitor crop nutrient status within and across growing seasons	53
Can UAVs fill the gap between in situ surveys and satellites for habitat mapping?	53
A near-real-time approach for monitoring forest disturbance using Landsat time series: stochastic continuous change detection	53
Estimating inundation extent using CYGNSS data: A conceptual modeling study	53
Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network	53
Sub-continental-scale mapping of tidal wetland composition for East Asia: A novel algorithm integrating satellite tide-level and phenological features	53
Three-dimensional time-varying large surface displacements in coal exploiting areas revealed through integration of SAR pixel offset measurements and mining subsidence model	53
Plant species classification in salt marshes using phenological parameters derived from Sentinel-2 pixel-differential time-series	52
Remote detection of marine debris using satellite observations in the visible and near infrared spectral range: Challenges and potentials	52
Analysis of scattering characteristics from inland bodies of water observed by CYGNSS	51
Adopting deep learning methods for airborne RGB fluvial scene classification	51
Evaluating global and regional land warming trends in the past decades with both MODIS and ERA5-Land land surface temperature data	51
Mapping multi-layered mangroves from multispectral, hyperspectral, and LiDAR data	51
Sentinel-2 remote sensing of Zostera noltei-dominated intertidal seagrass meadows	51
Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data	51
Active layer freeze-thaw and water storage dynamics in permafrost environments inferred from InSAR	51
TROPOMI observations allow for robust exploration of the relationship between solar-induced chlorophyll fluorescence and terrestrial gross primary production	50
Improving satellite retrieval of oceanic particulate organic carbon concentrations using machine learning methods	50
Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series	50
Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface energy balance-based method	50
Satellite prediction of forest flowering phenology	50
Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series	50
Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression	50
Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches	49
SAR-enhanced mapping of live fuel moisture content	49
Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning	49
Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr	49
Antarctic spring ice-edge blooms observed from space by ICESat-2	49
Sentinel-1 soil moisture at 1 km resolution: a validation study	49
Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with synthetic training data	49
Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method	49
Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites	49
Remote sensing spatiotemporal patterns of frozen soil and the environmental controls over the Tibetan Plateau during 2002–2016	48
On the land emissivity assumption and Landsat-derived surface urban heat islands: A global analysis	48
Monitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas	48
Incorporating synthetic aperture radar and optical images to investigate the annual dynamics of anthropogenic impervious surface at large scale	48
Predicting subsurface thermohaline structure from remote sensing data based on long short-term memory neural networks	48
Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method	47
An improvement in accuracy and spatiotemporal continuity of the MODIS precipitable water vapor product based on a data fusion approach	47
A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps	47
Earth observation-based ecosystem services indicators for national and subnational reporting of the sustainable development goals	47
Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia	47
Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China	47
A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data	47
CNN-based burned area mapping using radar and optical data	47
Rapid glacier mass loss in the Southeastern Tibetan Plateau since the year 2000 from satellite observations	46
Urban-focused satellite CO2 observations from the Orbiting Carbon Observatory-3: A first look at the Los Angeles megacity	46
Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data	46
An automated, generalized, deep-learning-based method for delineating the calving fronts of Greenland glaciers from multi-sensor remote sensing imagery	46
Sea ice extents continue to set new records: Arctic, Antarctic, and global results	46
Determining the drivers of suspended sediment dynamics in tidal marsh-influenced estuaries using high-resolution ocean color remote sensing	46
Spatiotemporal assessment of land use/land cover change and associated carbon emissions and uptake in the Mekong River Basin	46
Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method	46
Satellites for long-term monitoring of inland U.S. lakes: The MERIS time series and application for chlorophyll-a	46
Deep-learning-based burned area mapping using the synergy of Sentinel-1&2 data	46
A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication	45
Comparison of total emitted solar-induced chlorophyll fluorescence (SIF) and top-of-canopy (TOC) SIF in estimating photosynthesis	45
Unravelling a large methane emission discrepancy in Mexico using satellite observations	45
A smart multiple spatial and temporal resolution system to support precision agriculture from satellite images: Proof of concept on Aglianico vineyard	45