GIScience & Remote Sensing

(The TQCC of GIScience & Remote Sensing is 12. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-11-01 to 2023-11-01.)
An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data245
Deep learning-based water quality estimation and anomaly detection using Landsat-8/Sentinel-2 virtual constellation and cloud computing92
Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud77
A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland75
Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data73
Estimating ground-level particulate matter concentrations using satellite-based data: a review53
Application of machine learning techniques in groundwater potential mapping along the west coast of India48
Large-scale urban functional zone mapping by integrating remote sensing images and open social data44
Google Earth Engine for large-scale land use and land cover mapping: an object-based classification approach using spectral, textural and topographical factors41
Use of Local Climate Zones to investigate surface urban heat islands in Texas40
Modeling the spatial variation of urban land surface temperature in relation to environmental and anthropogenic factors: a case study of Tehran, Iran38
Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach36
Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique34
Understanding satellite-derived bathymetry using Sentinel 2 imagery and spatial prediction models33
Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery30
Air pollution hazard assessment using decision tree algorithms and bivariate probability cluster polar function: evaluating inter-correlation clusters of PM10 and other air pollutants30
A comparative analysis of trajectory similarity measures29
Quantifying diurnal and seasonal variation of surface urban heat island intensity and its associated determinants across different climatic zones over Indian cities28
Interpretation and sensitivity analysis of the InSAR line of sight displacements in landslide measurements27
Quantitatively distinguishing the impact of climate change and human activities on vegetation in mainland China with the improved residual method27
Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia26
Recent land deformation detected by Sentinel-1A InSAR data (2016–2020) over Hanoi, Vietnam, and the relationship with groundwater level change26
RoadVecNet: a new approach for simultaneous road network segmentation and vectorization from aerial and google earth imagery in a complex urban set-up26
Multi-source spatial data-based invasion risk modeling of Striga (Striga asiatica) in Zimbabwe26
Urban tree species classification using UAV-based multi-sensor data fusion and machine learning25
A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems25
Influence of forest fire episodes on the distribution of gaseous air pollutants over Uttarakhand, India24
A review of building detection from very high resolution optical remote sensing images24
A comparison of the integrated fuzzy object-based deep learning approach and three machine learning techniques for land use/cover change monitoring and environmental impacts assessment23
Improving wetland cover classification using artificial neural networks with ensemble techniques23
Oil spill detection from Synthetic Aperture Radar Earth observations: a meta-analysis and comprehensive review22
Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction22
Multi-scale remote sensing to support insurance policies in agriculture: from mid-term to instantaneous deductions22
Spatiotemporal mixed effects modeling for the estimation of PM2.5from MODIS AOD over the Indian subcontinent22
Local-scale agricultural drought monitoring with satellite-based multi-sensor time-series22
Predicting soil organic carbon stocks under commercial forest plantations in KwaZulu-Natal province, South Africa using remotely sensed data21
Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches21
Mapping 3D visibility in an urban street environment from mobile LiDAR point clouds21
The effects of urban land cover dynamics on urban heat Island intensity and temporal trends20
A new type of dual-scale neighborhood based on vectorization for cellular automata models20
Microwave-based vegetation descriptors in the parameterization of water cloud model at L-band for soil moisture retrieval over croplands20
FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping20
Exploring the advantages of the maximum entropy model in calibrating cellular automata for urban growth simulation: a comparative study of four methods19
Big geospatial data analysis for Canada’s Air Pollutant Emissions Inventory (APEI): using google earth engine to estimate particulate matter from exposed mine disturbance areas19
Seasonal and diurnal surface urban heat islands in China: an investigation of driving factors with three-dimensional urban morphological parameters19
Peatland leaf-area index and biomass estimation with ultra-high resolution remote sensing19
Automatic mapping of urban green spaces using a geospatial neural network19
A stacking ensemble algorithm for improving the biases of forest aboveground biomass estimations from multiple remotely sensed datasets18
Effect of landscape pattern and spatial configuration of vegetation patches on urban warming and cooling in Harare metropolitan city, Zimbabwe18
Atmospheric pollution assessment near potential source of natural aerosols in the South Gobi Desert region, China17
A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery17
How does co-registration affect geomorphic change estimates in multi-temporal surveys?17
Spatio-temporal characterization of landscape fire in relation to anthropogenic activity and climatic variability over the Western Himalaya, India17
Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data17
Assessing spatiotemporal variations and predicting changes in ecosystem service values in the Guangdong–Hong Kong–Macao Greater Bay Area17
Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China17
Integrating InSAR and deep-learning for modeling and predicting subsidence over the adjacent area of Lake Urmia, Iran16
Factors affecting relative height and ground elevation estimations of GEDI among forest types across the conterminous USA16
Predicting land cover changes using a CA Markov model under different shared socioeconomic pathways in Greece15
Forest structural diversity characterization in Mediterranean landscapes affected by fires using Airborne Laser Scanning data15
Exploring the effects of partitioned transition rules upon urban growth simulation in a megacity region: a comparative study of cellular automata-based models in the Greater Wuhan Area15
Solar park detection from publicly available satellite imagery15
Dynamics of savanna clearing and land degradation in the newest agricultural frontier in Brazil15
Eutrophication monitoring of lakes in Wuhan based on Sentinel-2 data14
For-backward LSTM-based missing data reconstruction for time-series Landsat images14
Recent advances in the remote sensing of alpine snow: a review14
Classification of polarimetric SAR images using compact convolutional neural networks14
A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency13
Investigating the impact of the temporal resolution of MODIS data on measured phenology in the prairie grasslands13
Drone-borne sensing of major and accessory pigments in algae using deep learning modeling13
Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data13
Evaluation of machine learning models for rice dry biomass estimation and mapping using quad-source optical imagery13
Earth observations and geographic information science for sustainable development goals13
Mapping spatiotemporal variability of the urban heat island across an urban gradient in Worcester, Massachusetts using in-situ Thermochrons and Landsat-8 Thermal Infrared Sensor (TIRS) data13
Surface deformation extraction from small baseline subset synthetic aperture radar interferometry (SBAS-InSAR) using coherence-optimized baseline combinations13
Satellite-derived bathymetry using machine learning and optimal Sentinel-2 imagery in South-West Florida coastal waters13
Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite13
Temporal and spatial relationships between soil erosion and ecological restoration in semi-arid regions: a case study in northern Shaanxi, China13
A cellular automata approach of urban sprawl simulation with Bayesian spatially-varying transformation rules13
Inter-calibration of DMSP-OLS and SNPP-VIIRS-DNB annual nighttime light composites using machine learning13
Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery12
Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands12
Detection of paddy rice cropping systems in southern China with time series Landsat images and phenology-based algorithms12
Use of local climate zones to assess the spatiotemporal variations of urban vegetation phenology in Austin, Texas, USA12
On the accuracy of low-cost dual-frequency GNSS network receivers and reference data12
Three-dimensional deformation monitoring and simulations for the preventive conservation of architectural heritage: a case study of the Angkor Wat Temple, Cambodia12
Wetland mapping with multi-temporal sentinel-1 & -2 imagery (2017 – 2020) and LiDAR data in the grassland natural region of alberta12