GIScience & Remote Sensing

Papers
(The TQCC of GIScience & Remote Sensing is 13. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data329
A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland88
Application of machine learning techniques in groundwater potential mapping along the west coast of India68
Google Earth Engine for large-scale land use and land cover mapping: an object-based classification approach using spectral, textural and topographical factors58
Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach48
A comparative analysis of trajectory similarity measures48
Use of Local Climate Zones to investigate surface urban heat islands in Texas45
Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery45
Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique43
A review of building detection from very high resolution optical remote sensing images41
Interpretation and sensitivity analysis of the InSAR line of sight displacements in landslide measurements40
Urban tree species classification using UAV-based multi-sensor data fusion and machine learning37
Quantifying diurnal and seasonal variation of surface urban heat island intensity and its associated determinants across different climatic zones over Indian cities35
Quantitatively distinguishing the impact of climate change and human activities on vegetation in mainland China with the improved residual method34
RoadVecNet: a new approach for simultaneous road network segmentation and vectorization from aerial and google earth imagery in a complex urban set-up34
FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping31
Recent land deformation detected by Sentinel-1A InSAR data (2016–2020) over Hanoi, Vietnam, and the relationship with groundwater level change31
Improving wetland cover classification using artificial neural networks with ensemble techniques29
Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia29
A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency29
Factors affecting relative height and ground elevation estimations of GEDI among forest types across the conterminous USA28
A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems28
A stacking ensemble algorithm for improving the biases of forest aboveground biomass estimations from multiple remotely sensed datasets28
Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests27
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 assessment27
Oil spill detection from Synthetic Aperture Radar Earth observations: a meta-analysis and comprehensive review27
A new type of dual-scale neighborhood based on vectorization for cellular automata models26
Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction26
Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data26
Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches26
Local-scale agricultural drought monitoring with satellite-based multi-sensor time-series25
Seasonal and diurnal surface urban heat islands in China: an investigation of driving factors with three-dimensional urban morphological parameters24
Effect of landscape pattern and spatial configuration of vegetation patches on urban warming and cooling in Harare metropolitan city, Zimbabwe24
Exploring the advantages of the maximum entropy model in calibrating cellular automata for urban growth simulation: a comparative study of four methods24
Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China23
Multi-scale remote sensing to support insurance policies in agriculture: from mid-term to instantaneous deductions23
Microwave-based vegetation descriptors in the parameterization of water cloud model at L-band for soil moisture retrieval over croplands23
The effects of urban land cover dynamics on urban heat Island intensity and temporal trends23
For-backward LSTM-based missing data reconstruction for time-series Landsat images23
Spatio-temporal characterization of landscape fire in relation to anthropogenic activity and climatic variability over the Western Himalaya, India22
Satellite-derived bathymetry using machine learning and optimal Sentinel-2 imagery in South-West Florida coastal waters22
Mapping 3D visibility in an urban street environment from mobile LiDAR point clouds22
Automatic mapping of urban green spaces using a geospatial neural network22
Peatland leaf-area index and biomass estimation with ultra-high resolution remote sensing22
A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery21
How does co-registration affect geomorphic change estimates in multi-temporal surveys?21
Assessing spatiotemporal variations and predicting changes in ecosystem service values in the Guangdong–Hong Kong–Macao Greater Bay Area21
Improving remote sensing estimation of Secchi disk depth for global lakes and reservoirs using machine learning methods20
Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data20
Integrating InSAR and deep-learning for modeling and predicting subsidence over the adjacent area of Lake Urmia, Iran20
Surface deformation extraction from small baseline subset synthetic aperture radar interferometry (SBAS-InSAR) using coherence-optimized baseline combinations19
Tracking vegetation degradation and recovery in multiple mining areas in Beijing, China, based on time-series Landsat imagery19
Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques18
Recent advances in the remote sensing of alpine snow: a review18
Detection of paddy rice cropping systems in southern China with time series Landsat images and phenology-based algorithms17
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 Area17
Solar park detection from publicly available satellite imagery17
Modeling dynamic land use changes in the eastern portion of the hexi corridor, China by cnn-gru hybrid model17
Predicting land cover changes using a CA Markov model under different shared socioeconomic pathways in Greece17
Dynamics of savanna clearing and land degradation in the newest agricultural frontier in Brazil17
Drone-borne sensing of major and accessory pigments in algae using deep learning modeling16
Use of local climate zones to assess the spatiotemporal variations of urban vegetation phenology in Austin, Texas, USA16
Classification of polarimetric SAR images using compact convolutional neural networks16
Ecological quality assessment and monitoring using a time-series remote sensing-based ecological index (ts-RSEI)16
Evaluation of machine learning models for rice dry biomass estimation and mapping using quad-source optical imagery15
A systematic review on the use of remote sensing technologies in quantifying grasslands ecosystem services15
Modeling the geographic spread and proliferation of invasive alien plants (IAPs) into new ecosystems using multi-source data and multiple predictive models in the Heuningnes catchment, South Africa15
Mapping and evaluating global urban entities (2000–2020): A novel perspective to delineate urban entities based on consistent nighttime light data15
Eutrophication monitoring of lakes in Wuhan based on Sentinel-2 data15
Wetland mapping with multi-temporal sentinel-1 & -2 imagery (2017 – 2020) and LiDAR data in the grassland natural region of alberta15
Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite15
Multi-spatiotemporal heterogeneous legacy effects of climate on terrestrial vegetation dynamics in China15
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) data15
Multi-scale three-dimensional detection of urban buildings using aerial LiDAR data14
Temporal and spatial relationships between soil erosion and ecological restoration in semi-arid regions: a case study in northern Shaanxi, China14
Inter-calibration of DMSP-OLS and SNPP-VIIRS-DNB annual nighttime light composites using machine learning14
Object-based change detection for vegetation disturbance and recovery using Landsat time series14
Earth observations and geographic information science for sustainable development goals14
A cellular automata approach of urban sprawl simulation with Bayesian spatially-varying transformation rules14
How does the ambient environment respond to the industrial heat island effects? An innovative and comprehensive methodological paradigm for quantifying the varied cooling effects of different landscap14
Three-dimensional deformation monitoring and simulations for the preventive conservation of architectural heritage: a case study of the Angkor Wat Temple, Cambodia14
Aboveground biomass estimates over Brazilian savannas using hyperspectral metrics and machine learning models: experiences with Hyperion/EO-114
Coastline extraction using remote sensing: a review13
Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery13
Upscaling aboveground biomass of larch (Larix olgensis Henry) plantations from field to satellite measurements: a comparison of individual tree-based and area-based approaches13
Detection of seismic façade damages with multi-temporal oblique aerial imagery13
Tree species classification in a typical natural secondary forest using UAV-borne LiDAR and hyperspectral data13
A hybrid integrated deep learning model for predicting various air pollutants13
Cropland data fusion and correction using spatial analysis techniques and the Google Earth Engine13
Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using Sentinel-2 images13
On the accuracy of low-cost dual-frequency GNSS network receivers and reference data13
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